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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.
XPO1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
36.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
133.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
100.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
93.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
82.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
72.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
70.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
69.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
66.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
64.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
64.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
63.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
61.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
61.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
60.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
60.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
59.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
58.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
57.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
57.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
57.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
57.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
56.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
56.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
56.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
55.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
55.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
55.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
55.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
55.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
54.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
53.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
52.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
51.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
50.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
50.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
49.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
49.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
49.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
49.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
49.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
49.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
49.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
48.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
48.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
48.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
48.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
48.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
47.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
47.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
47.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
47.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
47.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
47.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
47.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
46.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
46.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
46.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
46.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
46.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
45.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
45.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
45.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
45.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
45.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
44.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
44.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
44.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
44.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
44.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
43.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
43.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
43.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
43.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
43.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
43.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
42.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
42.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
42.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
42.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
42.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
42.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
42.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
42.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
42.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
41.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
41.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
40.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
40.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
40.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
40.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
40.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
39.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
39.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
39.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
39.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
38.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
38.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
38.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
38.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
38.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
38.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
38.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
37.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
37.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
37.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
37.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
37.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
37.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
37.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
36.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
36.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
36.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
36.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
35.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
35.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
35.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
35.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
35.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
35.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
35.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
35.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
35.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
35.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
35.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
34.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
34.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
34.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
34.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
34.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
34.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
34.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
34.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
34.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
34.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
34.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
34.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
34.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
34.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
33.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
33.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
33.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
33.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
32.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
32.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
31.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
31.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
31.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
31.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
31.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
31.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
31.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
30.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
30.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
30.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
30.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
30.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
30.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
30.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
30.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
29.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
29.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
29.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
29.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
29.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
29.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
29.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
28.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
28.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
28.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
28.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
28.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
28.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
28.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
28.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
27.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
27.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
27.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
27.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
27.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
27.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
26.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
26.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
26.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
26.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
26.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
25.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
25.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
25.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
25.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
25.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
25.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
25.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
25.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
24.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
24.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
24.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
24.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
24.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
23.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
23.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
23.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
23.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
23.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
23.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
23.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
23.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
23.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
23.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
23.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
22.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
22.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
21.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
21.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
20.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
20.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
20.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
20.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
19.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
19.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
18.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
18.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
18.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
18.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
17.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
17.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
17.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
17.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
17.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
17.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
16.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
15.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
15.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
15.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
14.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
14.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
14.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
13.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
12.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
12.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
11.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
11.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
11.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 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.
XPO1 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
71.9
Number of samples
486
Samples
Sample
Description
TPM
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
155.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
135.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
129.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
128.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
126.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
125.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
121.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
121.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
119.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
114.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
114.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
114.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
113.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
112.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
111.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
111.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
110.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
109.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
108.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
108.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
105.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
105.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
105.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
104.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
104.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
104.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
103.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
102.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
101.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
100.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
100.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
98.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
98.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
98.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
97.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
97.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
97.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
97.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
97.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
97.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
97.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
96.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
96.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
95.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
95.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
95.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
95.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
95.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
95.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
94.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
94.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
94.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
94.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
94.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
94.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
94.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
93.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
93.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
93.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
93.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
93.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
93.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
93.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
93.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
92.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
91.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
91.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
91.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
91.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
91.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
91.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
91.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
91.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
91.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
90.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
90.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
90.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
89.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
89.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
88.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
88.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
88.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
88.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
88.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
87.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
87.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
87.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
87.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
87.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
86.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
86.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
86.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
86.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
86.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
86.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
86.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
85.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
85.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
85.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
85.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
85.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
85.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
85.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
85.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
85.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
85.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
85.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
85.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
85.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
85.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
85.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
85.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
84.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
84.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
84.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
84.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
84.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
83.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
83.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
83.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
83.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
83.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
83.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
82.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
82.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
82.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
82.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
82.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
81.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
81.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
81.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
81.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
81.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
81.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
81.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
80.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
80.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
80.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
80.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
80.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
80.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
80.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
80.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
79.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
79.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
79.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
79.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
79.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
79.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
79.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
79.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
79.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
79.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
79.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
79.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
79.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
79.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
79.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
79.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
79.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
78.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
78.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
78.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
78.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
78.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
78.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
77.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
77.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
77.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
77.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
77.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
77.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
77.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
77.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
77.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
77.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
76.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
76.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
76.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
76.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
76.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
76.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
76.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
76.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
76.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
76.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
75.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
75.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
75.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
75.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
75.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
75.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
75.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
75.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
75.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
75.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
75.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
74.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
74.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
74.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
74.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
74.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
74.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
74.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
74.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
74.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
73.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
73.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
73.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
73.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
73.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
73.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
73.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
73.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
72.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
72.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
72.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
72.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
72.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
72.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
72.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
72.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
72.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
72.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
72.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
72.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
72.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
72.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
72.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
71.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
71.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
71.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
71.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
71.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
71.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
71.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
71.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
71.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
70.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
70.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
70.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
70.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
70.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
70.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
70.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
70.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
70.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
70.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
70.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
70.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
69.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
69.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
69.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
69.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
69.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
69.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
69.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
69.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
69.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
68.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
68.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
68.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
68.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
68.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
68.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
68.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
68.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
68.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
68.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
68.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
68.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
68.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
68.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
68.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
67.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
67.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
67.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
67.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
67.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
67.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
67.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
67.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
67.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
67.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
67.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
67.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
66.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
66.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
66.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
66.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
66.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
66.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
66.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
66.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
66.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
66.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
66.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
66.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
66.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
66.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
66.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
65.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
65.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
65.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
65.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
65.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
65.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
64.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
64.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
64.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
64.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
64.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
64.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
64.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
64.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
64.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
64.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
64.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
64.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
64.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
63.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
63.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
63.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
63.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
63.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
63.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
63.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
63.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
63.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
63.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
63.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
62.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
62.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
62.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
62.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
62.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
62.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
62.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
62.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
62.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
62.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
62.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
61.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
61.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
61.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
61.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
61.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
61.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
61.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
61.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
61.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
61.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
60.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
60.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
60.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
60.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
60.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
60.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
60.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
60.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
60.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
59.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
59.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
59.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
59.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
59.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
59.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
59.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
59.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
59.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
58.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
58.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
58.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
58.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
58.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
58.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
58.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
58.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
58.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
57.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
57.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
57.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
57.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
57.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
57.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
57.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
57.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
57.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
57.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
56.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
56.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
56.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
56.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
55.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
55.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
55.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
55.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
55.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
55.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
54.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
54.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
54.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
54.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
54.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
53.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
53.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
53.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
53.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
53.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
53.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
53.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
53.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
53.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
53.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
53.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
52.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
52.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
52.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
51.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
51.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
51.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
51.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
51.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
51.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
51.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
50.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
50.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
50.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
50.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
50.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
49.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
49.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
49.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
49.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
49.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
49.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
48.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
48.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
48.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
48.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
47.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
47.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
47.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
47.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
47.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
46.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
46.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
46.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
46.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
45.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
45.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
45.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
45.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
44.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
44.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
44.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
44.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
43.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
42.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
42.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
42.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
42.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
40.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
40.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
39.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
39.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
38.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
38.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
37.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
36.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
36.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
34.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.8
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.
XPO1 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
39.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
92.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
89.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
80.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
76.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
75.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
68.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
68.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
65.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
63.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
62.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
61.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
61.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
59.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
58.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
58.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
56.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
53.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
51.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
50.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
49.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
48.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
48.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
47.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
44.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
44.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
42.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
42.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
41.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
40.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
40.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
39.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
39.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
39.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
39.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
39.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
38.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
38.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
38.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
38.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
38.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
37.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
37.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
36.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
36.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
36.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
36.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
35.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
34.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
34.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
34.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
34.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
33.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
33.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
32.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
32.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
31.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
29.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
29.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
28.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
28.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
28.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
28.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
27.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
27.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
27.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
27.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
25.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
25.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
23.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
23.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
22.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
22.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
21.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
20.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
20.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
20.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
19.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
18.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
17.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
16.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
15.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 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.
XPO1 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
64.3
Number of samples
207
Samples
Sample
Description
TPM
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
129.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
119.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
109.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
106.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
106.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
100.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
98.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
98.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
97.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
93.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
92.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
90.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
88.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
88.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
88.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
88.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
87.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
87.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
86.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
86.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
86.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
86.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
85.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
85.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
84.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
83.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
83.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
81.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
79.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
79.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
79.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
78.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
77.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
77.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
77.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
77.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
77.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
77.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
76.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
76.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
75.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
75.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
75.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
75.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
75.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
75.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
75.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
74.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
74.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
73.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
73.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
73.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
73.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
73.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
73.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
72.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
72.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
72.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
72.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
71.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
71.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
71.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
70.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
70.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
70.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
70.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
69.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
69.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
69.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
69.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
69.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
69.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
68.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
68.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
68.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
68.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
68.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
67.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
67.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
67.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
66.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
66.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
66.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
65.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
65.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
65.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
65.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
65.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
65.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
65.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
64.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
64.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
64.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
64.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
63.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
63.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
63.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
63.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
63.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
62.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
62.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
62.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
62.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
62.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
61.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
61.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
61.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
61.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
61.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
61.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
61.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
61.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
60.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
60.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
60.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
59.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
59.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
59.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
59.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
59.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
59.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
59.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
59.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
59.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
58.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
58.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
58.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
58.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
58.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
58.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
58.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
58.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
57.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
57.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
57.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
57.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
57.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
56.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
56.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
56.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
55.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
55.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
54.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
54.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
54.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
54.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
54.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
54.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
53.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
53.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
53.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
53.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
53.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
52.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
52.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
52.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
52.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
52.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
51.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
51.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
51.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
51.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
51.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
51.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
51.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
51.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
50.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
50.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
50.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
50.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
49.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
49.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
48.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
48.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
48.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
47.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
47.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
46.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
44.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
43.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
43.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
42.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
42.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
42.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
42.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
41.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
39.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
37.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
37.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_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
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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
0.2
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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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Tumor
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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Tumor
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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Tumor
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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Tumor
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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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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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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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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Tumor
0.1
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Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
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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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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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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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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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
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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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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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Tumor
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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Tumor
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
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Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
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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Tumor
0.0
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Normal
0.0
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Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Normal
0.0
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Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
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Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
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
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
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
