We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
XPO6 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
56.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
151.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
107.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
100.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
100.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
99.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
98.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
98.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
93.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
93.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
91.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
90.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
89.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
88.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
88.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
87.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
87.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
87.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
86.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
86.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
85.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
85.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
83.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
83.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
82.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
79.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
79.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
79.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
79.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
79.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
77.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
77.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
75.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
75.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
75.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
75.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
74.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
74.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
74.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
73.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
72.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
72.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
71.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
71.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
71.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
70.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
70.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
70.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
69.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
68.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
68.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
68.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
68.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
68.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
68.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
67.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
67.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
67.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
67.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
67.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
66.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
66.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
66.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
65.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
65.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
65.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
64.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
64.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
64.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
64.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
63.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
63.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
63.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
63.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
62.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
62.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
62.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
62.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
62.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
62.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
62.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
61.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
61.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
61.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
61.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
60.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
60.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
60.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
60.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
60.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
60.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
59.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
59.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
59.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
58.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
58.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
58.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
58.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
57.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
57.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
57.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
57.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
57.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
57.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
57.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
56.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
56.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
56.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
56.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
56.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
56.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
55.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
55.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
55.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
55.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
55.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
55.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
55.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
55.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
54.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
54.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
54.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
54.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
54.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
53.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
53.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
53.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
53.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
53.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
53.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
53.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
53.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
52.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
52.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
52.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
51.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
51.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
51.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
51.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
51.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
51.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
51.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
51.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
51.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
51.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
50.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
50.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
50.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
50.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
49.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
49.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
49.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
49.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
49.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
49.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
49.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
49.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
48.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
48.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
48.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
48.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
48.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
47.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
47.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
47.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
47.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
47.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
47.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
47.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
47.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
47.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
47.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
46.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
46.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
46.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
46.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
46.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
46.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
46.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
45.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
45.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
45.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
45.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
45.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
45.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
44.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
44.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
44.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
44.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
44.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
44.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
43.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
43.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
43.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
43.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
43.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
42.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
42.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
42.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
42.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
41.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
41.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
41.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
41.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
41.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
41.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
41.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
41.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
41.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
41.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
40.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
40.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
40.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
40.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
40.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
39.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
39.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
39.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
39.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
39.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
39.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
39.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
38.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
37.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
37.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
37.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
37.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
36.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
36.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
35.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
35.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
35.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
34.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
34.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
33.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
33.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
32.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
31.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
31.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
31.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
29.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
28.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
27.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
24.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
21.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
XPO6 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
65.9
Number of samples
486
Samples
Sample
Description
TPM
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
152.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
125.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
121.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
119.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
114.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
114.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
114.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
108.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
108.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
104.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
104.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
101.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
100.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
99.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
97.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
96.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
96.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
96.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
93.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
93.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
93.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
92.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
91.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
91.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
90.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
90.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
90.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
90.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
89.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
89.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
89.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
89.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
88.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
88.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
88.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
87.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
87.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
87.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
87.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
87.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
86.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
86.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
86.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
86.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
86.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
86.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
86.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
85.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
85.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
84.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
84.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
84.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
83.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
83.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
83.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
83.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
83.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
83.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
82.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
82.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
81.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
81.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
81.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
81.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
80.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
80.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
80.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
80.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
80.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
80.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
80.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
80.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
79.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
79.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
78.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
78.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
77.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
77.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
77.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
77.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
77.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
77.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
77.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
77.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
77.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
76.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
76.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
76.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
76.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
76.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
76.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
76.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
76.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
75.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
75.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
75.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
75.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
75.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
75.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
75.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
75.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
74.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
74.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
74.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
74.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
74.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
74.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
74.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
74.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
74.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
73.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
73.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
73.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
73.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
73.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
73.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
73.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
73.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
73.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
73.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
73.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
73.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
73.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
72.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
72.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
72.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
72.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
72.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
72.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
72.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
72.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
72.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
72.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
71.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
71.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
71.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
71.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
71.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
71.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
71.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
71.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
71.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
71.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
71.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
71.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
71.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
71.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
71.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
71.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
71.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
70.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
70.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
70.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
70.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
70.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
70.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
70.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
70.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
70.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
70.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
70.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
70.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
70.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
70.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
70.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
69.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
69.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
69.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
69.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
69.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
69.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
69.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
69.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
69.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
69.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
68.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
68.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
68.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
68.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
68.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
68.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
68.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
68.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
68.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
68.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
68.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
68.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
68.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
68.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
68.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
68.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
67.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
67.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
67.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
67.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
67.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
67.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
67.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
67.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
67.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
67.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
66.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
66.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
66.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
66.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
66.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
66.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
66.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
66.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
66.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
66.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
66.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
66.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
66.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
66.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
66.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
66.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
66.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
66.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
65.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
65.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
65.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
65.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
65.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
65.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
65.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
65.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
65.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
65.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
65.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
64.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
64.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
64.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
64.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
64.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
64.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
64.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
64.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
64.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
64.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
64.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
64.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
64.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
64.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
64.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
64.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
64.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
63.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
63.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
63.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
63.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
63.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
63.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
63.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
63.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
63.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
62.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
62.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
62.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
62.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
62.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
62.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
62.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
62.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
62.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
62.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
61.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
61.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
61.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
61.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
61.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
61.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
61.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
61.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
61.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
61.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
61.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
61.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
61.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
61.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
61.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
61.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
61.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
61.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
61.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
61.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
61.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
61.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
61.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
61.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
60.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
60.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
60.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
60.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
60.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
60.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
60.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
60.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
60.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
60.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
60.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
60.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
60.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
60.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
60.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
60.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
60.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
60.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
60.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
60.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
60.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
60.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
60.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
60.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
59.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
59.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
59.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
59.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
59.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
59.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
59.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
59.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
59.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
59.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
59.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
59.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
59.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
59.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
59.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
58.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
58.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
58.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
58.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
58.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
58.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
58.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
57.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
57.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
57.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
57.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
57.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
57.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
57.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
57.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
57.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
57.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
57.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
57.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
57.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
57.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
56.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
56.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
56.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
56.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
56.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
56.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
56.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
56.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
56.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
56.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
56.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
56.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
56.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
56.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
56.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
56.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
56.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
56.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
55.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
55.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
55.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
55.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
55.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
55.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
55.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
55.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
55.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
55.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
55.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
55.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
54.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
54.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
54.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
54.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
54.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
54.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
54.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
54.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
54.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
54.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
54.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
53.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
53.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
53.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
53.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
53.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
53.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
53.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
53.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
53.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
53.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
53.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
53.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
53.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
53.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
53.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
53.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
52.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
52.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
52.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
52.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
52.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
52.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
52.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
52.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
52.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
51.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
51.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
51.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
51.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
51.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
50.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
50.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
50.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
50.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
50.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
49.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
49.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
49.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
49.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
49.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
49.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
49.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
49.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
48.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
48.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
48.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
48.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
48.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
47.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
47.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
46.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
46.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
46.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
46.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
46.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
46.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
45.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
45.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
45.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
45.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
44.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
44.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
44.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
43.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
43.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
42.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
42.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
42.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
41.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
41.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
39.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
37.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
33.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
XPO6 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
52.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
105.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
90.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
83.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
81.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
76.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
74.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
74.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
74.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
74.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
73.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
70.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
70.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
69.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
69.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
68.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
68.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
67.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
66.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
65.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
61.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
61.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
61.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
60.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
60.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
60.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
59.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
58.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
56.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
56.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
56.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
56.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
55.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
55.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
55.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
54.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
53.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
53.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
53.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
53.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
52.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
52.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
52.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
51.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
51.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
51.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
50.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
49.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
49.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
48.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
48.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
47.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
47.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
46.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
46.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
46.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
46.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
45.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
45.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
44.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
43.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
43.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
43.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
42.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
42.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
41.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
41.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
40.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
40.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
40.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
38.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
38.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
38.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
38.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
38.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
38.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
35.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
34.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
33.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
33.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
31.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
30.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
30.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
29.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
26.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
XPO6 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
64.9
Number of samples
207
Samples
Sample
Description
TPM
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
112.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
105.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
102.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
100.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
96.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
94.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
93.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
92.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
92.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
91.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
90.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
89.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
88.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
86.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
86.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
86.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
86.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
85.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
85.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
84.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
83.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
83.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
83.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
83.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
82.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
82.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
81.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
81.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
81.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
81.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
80.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
80.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
79.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
79.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
79.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
79.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
79.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
79.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
78.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
78.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
78.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
76.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
76.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
76.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
76.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
76.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
75.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
75.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
74.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
74.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
74.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
74.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
73.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
73.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
73.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
73.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
73.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
73.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
72.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
72.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
72.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
72.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
72.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
72.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
71.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
71.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
71.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
71.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
70.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
70.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
70.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
70.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
70.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
70.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
70.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
69.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
69.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
69.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
68.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
68.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
68.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
68.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
68.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
67.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
67.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
67.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
67.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
67.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
66.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
66.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
65.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
65.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
65.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
65.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
65.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
64.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
64.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
64.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
64.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
64.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
63.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
63.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
63.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
63.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
63.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
62.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
62.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
62.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
62.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
61.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
61.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
61.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
61.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
61.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
60.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
60.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
60.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
59.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
59.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
59.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
59.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
59.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
58.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
58.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
58.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
58.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
58.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
58.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
58.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
57.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
57.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
57.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
57.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
56.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
56.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
56.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
56.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
56.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
56.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
56.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
56.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
56.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
55.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
55.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
55.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
55.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
55.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
55.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
55.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
55.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
54.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
54.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
54.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
54.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
53.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
53.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
53.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
53.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
53.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
53.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
53.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
53.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
52.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
52.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
52.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
52.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
52.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
51.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
51.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
51.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
51.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
50.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
50.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
50.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
49.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
49.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
49.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
49.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
48.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
47.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
47.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
47.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
47.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
47.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
46.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
45.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
44.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
44.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
43.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
43.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
43.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
43.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
42.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
41.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
41.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
38.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
36.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
35.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
34.4
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
1.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.9
b2400046-1d25-429d-a821-6040a6
Tumor
-1.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
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.