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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
XPO7 is potential prognostic, high expression is favorable in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
19.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
51.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
45.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
40.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
40.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
39.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
39.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
38.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
37.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
35.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
35.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
35.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
35.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
34.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
34.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
34.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
34.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
33.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
33.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
33.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
32.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
32.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
31.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
31.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
31.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
31.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
30.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
29.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
29.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
29.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
29.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
29.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
29.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
29.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
28.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
28.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
28.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
27.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
27.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
27.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
27.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
27.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
26.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
26.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
26.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
26.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
26.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
26.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
25.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
25.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
25.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
25.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
24.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
24.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
24.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
24.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
24.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
24.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
24.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
24.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
24.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
24.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
23.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
23.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
23.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
23.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
23.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
23.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
23.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
22.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
22.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
22.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
22.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
22.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
22.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
22.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
21.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
21.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
21.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
21.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
21.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
21.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
21.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
21.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
21.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
21.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
21.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
21.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
21.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
21.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
20.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
20.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
20.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
20.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
20.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
20.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
19.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
19.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
19.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
19.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
19.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
19.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
19.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
19.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
19.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
19.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
19.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
18.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
18.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
18.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
18.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 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-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
18.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
18.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
18.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
18.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
18.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
18.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
18.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
18.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
18.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
17.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
17.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
17.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
17.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
17.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
17.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
17.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
17.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
17.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
17.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
16.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
16.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
16.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
16.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
16.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
16.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
16.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
16.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
16.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
16.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
16.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
16.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
16.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
16.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
16.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
15.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
15.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
15.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
15.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
15.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
15.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
15.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
15.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
15.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
15.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
15.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
15.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
15.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
15.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
15.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
14.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
14.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
14.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
14.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
14.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
14.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
14.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
14.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
14.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
14.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
14.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
14.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
14.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
14.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
14.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
14.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
14.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
13.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
13.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
13.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
13.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
13.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
13.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
13.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
13.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
13.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
13.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
13.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
13.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
12.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
12.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
12.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
12.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
12.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
12.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
12.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
12.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
12.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
12.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
12.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
12.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
12.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
12.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
12.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
12.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
12.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
11.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
11.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
11.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
11.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
11.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
11.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
11.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
11.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
11.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
10.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
10.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
10.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
10.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
10.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
10.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
10.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
9.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
9.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
9.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
8.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
8.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
8.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
8.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
7.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
7.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
7.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
7.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
7.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
7.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
6.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
6.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
6.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
XPO7 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
50.8
Number of samples
486
Samples
Sample
Description
TPM
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
114.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
112.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
100.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
97.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
97.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
94.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
94.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
92.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
91.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
90.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
89.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
86.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
85.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
85.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
84.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
82.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
82.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
82.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
82.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
82.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
81.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
81.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
80.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
80.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
80.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
79.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
79.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
79.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
78.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
78.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
78.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
77.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
77.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
77.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
77.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
77.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
76.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
76.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
75.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
75.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
74.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
74.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
73.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
73.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
73.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
72.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
72.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
72.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
72.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
71.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
71.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
71.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
71.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
70.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
70.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
70.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
70.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
69.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
69.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
69.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
69.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
68.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
68.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
68.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
68.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
68.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
68.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
68.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
68.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
67.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
67.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
67.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
66.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
66.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
66.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
66.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
66.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
65.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
65.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
65.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
65.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
64.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
64.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
64.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
64.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
64.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
64.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
64.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
64.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
63.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
63.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
63.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
63.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
63.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
63.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
63.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
63.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
62.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
62.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
62.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
62.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
62.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
62.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
62.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
62.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
61.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
61.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
61.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
61.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
61.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
61.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
61.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
61.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
61.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
61.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
60.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
60.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
60.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
60.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
60.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
60.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
60.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
59.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
59.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
59.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
59.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
59.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
59.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
58.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
58.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
58.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
58.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
58.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
58.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
58.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
58.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
58.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
58.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
58.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
58.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
57.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
57.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
57.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
57.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
57.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
57.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
57.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
56.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
56.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
56.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
56.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
56.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
56.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
56.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
56.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
56.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
56.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
56.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
56.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
55.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
55.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
55.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
55.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
55.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
55.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
55.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
55.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
55.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
55.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
55.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
55.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
55.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
55.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
55.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
55.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
55.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
55.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
54.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
54.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
54.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
54.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
54.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
54.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
54.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
54.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
54.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
53.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
53.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
53.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
53.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
53.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
53.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
53.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
53.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
53.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
53.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
53.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
53.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
53.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
52.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
52.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
52.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
52.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
52.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
52.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
52.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
52.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
51.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
51.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
51.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
51.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
51.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
51.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
51.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
51.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
51.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
51.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
51.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
51.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
51.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
51.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
50.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
50.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
50.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
50.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
50.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
50.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
50.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
50.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
50.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
49.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
49.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
49.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
49.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
49.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
49.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
49.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
49.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
49.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
48.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
48.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
48.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
48.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
48.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
48.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
48.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
48.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
48.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
48.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
48.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
48.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
47.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
47.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
47.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
47.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
47.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
47.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
47.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
47.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
47.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
46.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
46.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
46.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
46.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
46.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
46.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
46.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
46.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
46.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
45.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
45.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
45.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
45.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
45.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
45.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
45.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
45.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
45.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
45.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
45.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
44.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
44.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
44.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
44.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
44.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
44.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
44.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
44.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
44.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
44.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
44.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
43.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
43.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
43.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
43.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
43.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
43.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
43.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
43.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
43.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
43.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
42.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
42.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
42.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
42.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
42.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
42.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
42.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
42.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
42.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
42.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
42.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
42.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
42.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
42.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
41.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
41.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
41.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
41.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
41.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
41.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
41.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
40.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
40.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
40.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
40.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
40.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
40.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
40.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
40.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
40.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
40.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
40.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
39.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
39.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
39.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
39.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
39.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
39.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
39.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
39.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
39.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
39.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
39.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
38.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
38.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
38.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
38.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
38.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
38.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
37.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
37.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
37.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
37.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
37.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
37.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
37.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
37.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
37.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
37.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
36.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
36.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
36.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
36.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
36.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
36.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
36.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
35.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
35.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
35.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
35.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
34.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
34.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
34.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
34.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
34.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
33.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
33.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
33.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
33.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
33.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
33.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
33.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
33.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
33.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
33.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
32.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
32.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
32.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
32.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
32.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
31.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
31.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
30.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
30.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
30.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
30.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
30.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
30.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
30.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
30.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
30.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
29.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
29.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
29.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
29.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
29.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
29.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
29.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
29.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
29.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
29.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
29.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
28.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
28.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
28.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
28.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
27.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
27.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
27.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
27.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
27.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
26.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
26.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
26.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
26.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
24.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
24.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
23.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
23.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
23.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
22.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
21.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.0
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.
XPO7 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
17.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
38.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
37.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
37.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
35.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
35.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
35.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
32.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
31.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
31.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
31.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
30.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
28.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
28.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
27.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
26.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
25.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
25.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
25.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
25.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
24.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
24.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
23.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
22.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
21.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
20.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
20.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
20.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
20.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
19.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
19.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
18.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
18.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
18.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
18.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
17.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
17.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
17.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
17.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
16.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
16.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
16.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
16.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
16.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
16.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
15.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
15.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
15.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
15.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
15.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
14.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
14.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
14.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
13.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
13.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
13.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
13.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
13.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
13.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
13.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
13.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
11.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
11.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
11.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
10.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
10.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
10.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
10.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
10.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
10.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
9.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
9.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
9.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
9.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
9.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
9.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
9.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
8.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
8.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
8.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
8.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
7.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.6
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.
XPO7 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
43.2
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
91.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
81.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
74.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
73.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
71.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
69.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
69.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
67.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
65.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
65.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
65.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
64.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
62.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
62.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
61.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
61.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
59.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
59.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
59.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
59.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
58.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
58.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
57.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
57.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
57.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
57.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
56.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
55.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
55.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
55.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
55.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
55.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
55.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
55.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
54.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
54.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
54.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
52.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
52.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
52.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
51.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
51.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
51.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
51.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
51.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
50.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
50.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
50.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
50.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
50.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
50.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
50.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
49.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
49.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
49.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
49.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
49.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
48.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
48.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
48.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
48.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
48.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
47.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
47.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
47.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
46.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
46.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
46.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
46.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
45.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
45.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
45.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
45.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
45.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
44.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
43.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
43.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
43.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
43.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
43.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
43.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
43.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
43.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
43.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
43.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
42.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
42.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
42.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
42.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
42.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
42.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
42.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
41.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
41.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
41.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
41.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
41.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
40.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
40.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
40.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
40.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
40.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
40.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
40.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
40.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
40.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
39.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
39.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
39.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
39.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
39.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
38.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
38.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
38.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
38.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
38.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
38.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
38.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
38.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
38.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
37.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
37.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
37.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
37.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
37.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
37.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
37.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
36.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
36.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
36.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
36.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
36.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
36.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
36.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
35.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
34.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
34.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
34.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
34.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
34.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
34.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
34.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
34.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
33.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
33.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
33.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
32.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
31.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
31.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
30.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
30.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
30.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
29.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
27.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
27.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
26.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
26.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
26.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
25.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
25.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
25.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
23.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
21.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
21.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
20.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
20.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
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Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
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Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
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Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
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Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
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Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
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Normal
0.0
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
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
