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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
JPT2 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
53.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
154.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
104.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
104.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
90.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
86.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
84.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
84.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
84.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
83.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
82.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
81.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
80.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
80.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
80.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
79.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
78.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
78.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
76.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
76.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
75.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
75.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
74.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
74.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
74.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
73.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
73.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
73.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
72.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
72.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
71.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
71.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
71.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
71.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
70.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
70.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
70.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
69.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
69.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
69.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
68.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
68.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
67.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
67.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
67.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
67.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
67.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
66.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
66.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
66.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
65.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
65.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
65.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
65.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
65.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
64.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
64.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
64.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
64.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
64.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
64.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
64.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
64.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
63.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
63.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
63.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
63.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
63.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
63.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
62.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
62.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
62.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
61.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
61.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
61.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
60.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
60.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
59.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
59.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
59.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
59.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
59.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
59.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
58.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
58.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
58.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
58.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
58.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
58.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
57.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
57.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
57.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
57.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
56.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
56.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
56.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
56.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
56.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
56.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
56.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
55.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
55.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
55.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
54.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
54.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
54.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
54.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
54.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
54.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
54.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
54.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
54.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
53.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
53.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
53.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
53.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
53.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
53.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
53.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
53.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
52.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
52.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
52.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
52.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
52.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
52.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
52.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
51.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
51.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
51.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
51.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
51.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
51.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
51.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
50.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
50.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
50.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
50.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
50.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
50.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
50.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
50.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
50.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
50.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
50.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
50.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
49.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
49.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
49.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
49.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
49.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
49.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
49.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
48.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
48.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
48.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
47.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
47.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
47.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
47.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
47.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
47.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
46.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
46.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
46.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
45.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
44.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
44.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
44.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
44.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
44.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
44.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
44.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
44.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
44.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
43.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
43.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
43.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
43.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
43.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
43.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
43.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
42.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
42.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
42.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
42.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
42.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
42.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
42.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
42.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
42.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
41.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
41.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
41.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
41.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
41.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
41.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
41.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
41.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
40.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
40.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
40.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
40.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
39.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
38.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
38.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
38.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
38.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
38.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
38.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
38.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
37.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
37.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
37.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
37.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
36.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
36.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
36.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
36.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
36.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
35.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
34.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
34.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
34.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
34.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
34.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
34.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
33.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
33.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
32.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
32.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
31.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
31.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
31.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
30.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
30.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
29.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
28.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
28.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
27.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
26.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
24.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
24.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
23.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 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.
JPT2 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
61.3
Number of samples
486
Samples
Sample
Description
TPM
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
134.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
122.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
112.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
111.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
109.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
104.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
103.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
103.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
101.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
101.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
100.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
100.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
99.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
98.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
95.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
94.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
94.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
94.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
94.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
93.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
93.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
93.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
92.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
92.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
91.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
89.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
89.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
88.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
88.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
88.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
88.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
87.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
87.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
87.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
86.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
86.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
86.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
86.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
85.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
85.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
85.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
85.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
85.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
84.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
84.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
84.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
84.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
84.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
84.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
83.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
83.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
82.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
82.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
82.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
82.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
82.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
82.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
82.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
82.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
82.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
81.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
81.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
81.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
81.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
81.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
80.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
80.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
80.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
79.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
79.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
78.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
78.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
78.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
78.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
78.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
77.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
77.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
77.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
77.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
77.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
77.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
77.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
77.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
77.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
77.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
77.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
77.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
76.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
76.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
76.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
76.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
76.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
76.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
76.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
76.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
76.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
75.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
75.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
75.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
75.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
75.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
75.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
75.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
74.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
74.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
74.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
74.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
74.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
74.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
74.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
73.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
73.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
73.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
73.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
73.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
72.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
72.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
72.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
72.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
72.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
72.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
72.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
72.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
72.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
72.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
71.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
71.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
71.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
71.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
71.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
71.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
70.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
70.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
70.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
70.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
70.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
70.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
69.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
69.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
69.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
69.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
69.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
69.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
69.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
68.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
68.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
68.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
68.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
68.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
68.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
68.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
68.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
68.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
68.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
68.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
67.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
67.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
67.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
67.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
67.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
67.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
67.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
67.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
67.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
67.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
67.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
66.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
66.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
66.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
66.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
66.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
66.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
66.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
66.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
66.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
65.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
65.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
65.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
65.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
65.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
65.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
65.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
64.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
64.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
64.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
64.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
64.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
64.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
64.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
63.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
63.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
63.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
63.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
63.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
63.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
63.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
63.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
63.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
63.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
63.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
63.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
63.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
63.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
63.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
62.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
62.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
62.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
62.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
62.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
62.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
62.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
62.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
61.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
61.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
61.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
61.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
61.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
61.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
61.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
61.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
60.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
60.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
60.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
60.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
60.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
60.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
60.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
60.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
60.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
60.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
60.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
60.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
60.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
60.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
60.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
60.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
59.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
59.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
59.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
59.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
59.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
59.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
58.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
58.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
58.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
58.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
58.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
58.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
58.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
58.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
58.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
58.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
58.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
57.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
57.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
57.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
57.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
57.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
57.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
57.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
57.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
57.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
57.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
57.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
57.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
57.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
56.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
56.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
56.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
56.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
56.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
56.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
56.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
56.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
56.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
56.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
56.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
56.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
56.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
56.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
56.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
56.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
56.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
55.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
55.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
55.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
55.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
55.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
55.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
55.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
55.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
55.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
55.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
55.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
55.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
55.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
55.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
55.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
55.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
54.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
54.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
54.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
54.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
54.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
54.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
54.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
54.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
54.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
54.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
54.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
54.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
54.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
54.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
54.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
54.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
53.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
53.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
53.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
53.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
53.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
53.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
53.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
53.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
53.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
53.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
52.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
52.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
52.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
52.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
52.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
52.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
52.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
52.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
52.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
51.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
51.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
51.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
51.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
51.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
51.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
51.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
51.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
51.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
51.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
51.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
51.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
50.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
50.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
50.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
50.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
50.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
50.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
50.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
50.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
50.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
50.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
50.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
50.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
50.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
50.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
50.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
49.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
49.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
49.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
49.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
49.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
49.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
49.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
49.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
49.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
49.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
49.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
49.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
49.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
49.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
48.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
48.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
48.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
48.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
48.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
48.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
47.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
47.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
47.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
47.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
47.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
47.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
46.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
46.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
46.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
46.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
46.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
46.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
46.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
46.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
46.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
46.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
45.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
45.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
45.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
45.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
44.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
44.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
44.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
44.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
43.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
43.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
42.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
42.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
42.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
42.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
42.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
41.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
41.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
41.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
41.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
41.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
41.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
41.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
40.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
40.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
40.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
40.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
40.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
40.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
40.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
39.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
38.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
38.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
37.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
37.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
37.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
36.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
36.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
36.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
35.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
35.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
35.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
34.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
33.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
32.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
32.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
32.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
32.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
31.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
29.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
29.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
29.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
26.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.5
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.
JPT2 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
53.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
106.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
92.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
87.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
86.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
83.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
78.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
77.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
76.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
73.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
72.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
71.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
70.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
70.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
70.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
69.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
68.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
67.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
67.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
67.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
66.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
66.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
65.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
65.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
65.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
64.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
64.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
63.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
62.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
62.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
61.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
60.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
60.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
60.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
59.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
58.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
58.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
55.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
54.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
53.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
53.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
52.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
52.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
52.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
52.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
52.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
51.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
51.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
51.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
50.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
49.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
48.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
48.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
47.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
47.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
46.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
46.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
45.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
45.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
45.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
45.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
44.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
43.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
42.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
42.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
42.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
42.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
40.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
40.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
39.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
39.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
38.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
37.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
37.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
36.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
36.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
35.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
35.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
34.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
33.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
31.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
31.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
27.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
26.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
26.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
26.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
25.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
23.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 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.
JPT2 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
55.5
Number of samples
207
Samples
Sample
Description
TPM
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
112.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
107.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
104.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
103.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
96.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
95.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
92.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
91.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
90.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
90.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
88.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
88.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
86.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
84.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
83.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
81.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
81.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
81.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
81.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
79.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
79.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
77.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
76.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
76.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
75.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
75.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
74.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
73.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
72.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
72.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
71.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
71.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
70.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
70.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
70.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
70.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
69.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
69.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
69.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
69.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
69.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
69.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
68.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
68.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
68.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
68.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
67.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
67.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
67.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
66.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
66.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
65.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
65.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
65.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
65.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
64.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
64.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
64.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
63.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
63.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
63.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
62.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
62.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
61.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
61.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
61.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
61.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
61.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
61.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
61.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
61.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
61.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
60.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
60.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
60.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
60.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
60.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
60.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
59.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
59.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
59.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
59.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
59.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
58.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
58.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
58.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
57.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
57.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
57.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
57.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
57.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
57.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
56.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
56.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
55.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
55.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
55.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
54.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
54.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
54.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
54.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
54.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
54.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
53.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
53.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
53.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
53.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
53.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
53.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
53.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
52.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
52.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
52.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
52.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
52.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
52.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
51.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
51.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
51.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
51.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
50.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
50.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
50.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
49.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
48.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
48.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
48.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
47.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
47.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
47.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
47.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
47.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
46.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
46.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
46.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
46.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
45.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
45.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
45.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
45.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
45.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
44.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
44.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
44.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
44.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
44.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
43.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
43.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
42.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
42.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
42.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
42.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
42.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
41.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
41.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
40.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
39.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
39.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
39.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
39.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
38.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
37.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
37.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
35.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
35.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
35.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
34.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
34.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
34.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
32.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
31.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
30.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
30.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
29.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
29.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
27.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
27.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
26.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
26.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
25.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
22.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
18.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
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Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.9
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.1
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
