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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.
MTPN 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
53.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
106.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
105.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
104.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
93.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
90.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
89.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
88.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
88.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
87.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
84.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
84.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
84.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
82.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
82.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
81.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
81.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
81.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
79.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
79.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
78.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
78.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
77.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
77.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
77.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
75.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
75.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
74.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
73.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
73.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
73.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
72.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
72.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
71.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
71.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
71.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
71.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
70.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
70.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
69.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
68.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
68.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
68.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
67.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
66.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
66.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
66.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
65.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
65.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
65.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
65.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
65.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
65.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
64.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
64.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
63.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
63.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
63.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
63.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
63.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
63.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
63.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
62.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
62.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
62.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
62.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
62.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
62.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
61.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
61.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
61.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
61.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
61.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
61.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
60.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
60.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
60.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
60.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
60.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
59.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
59.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
59.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
59.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
59.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
59.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
59.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
58.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
58.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
58.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
58.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
58.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
58.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
58.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
58.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
57.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
57.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
57.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
57.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
57.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
57.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
57.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
57.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
56.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
56.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
56.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
56.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
55.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
55.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
55.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
55.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
54.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
54.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
54.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
54.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
53.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
53.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
53.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
53.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
52.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
52.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
52.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
52.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
52.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
52.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
51.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
51.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
51.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
51.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
51.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
50.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
50.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
49.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
49.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
49.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
49.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
49.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
49.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
49.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
49.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
49.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
49.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
49.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
48.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
48.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
48.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
48.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
48.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
48.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
47.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
47.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
47.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
47.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
47.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
47.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
47.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
47.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
46.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
46.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
46.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
46.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
46.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
46.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
46.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
46.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
46.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
46.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
45.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
45.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
45.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
45.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
45.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
44.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
44.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
44.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
44.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
43.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
43.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
43.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
43.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
43.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
43.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
42.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
42.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
42.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
42.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
41.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
41.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
41.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
41.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
41.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
41.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
41.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
41.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
41.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
40.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
40.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
40.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
40.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
40.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
40.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
40.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
39.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
39.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
39.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
38.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
38.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
38.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
38.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
37.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
37.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
37.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
37.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
37.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
37.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
37.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
36.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
36.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
35.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
35.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
35.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
35.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
34.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
34.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
34.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
34.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
33.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
33.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
33.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
33.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
32.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
32.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
32.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
32.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
32.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
31.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
31.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
31.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
31.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
31.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
31.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
31.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
31.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
31.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
30.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
30.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
29.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
29.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
29.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
26.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
25.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
24.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
22.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
21.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 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.
MTPN 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
104.8
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
219.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
207.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
205.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
197.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
175.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
175.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
174.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
173.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
172.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
171.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
170.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
163.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
162.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
162.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
160.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
159.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
159.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
158.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
155.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
154.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
152.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
152.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
151.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
150.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
149.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
148.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
147.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
147.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
144.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
143.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
142.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
142.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
142.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
141.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
141.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
140.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
140.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
139.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
139.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
139.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
138.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
138.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
138.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
138.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
138.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
138.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
137.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
137.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
136.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
136.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
136.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
136.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
135.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
135.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
135.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
135.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
135.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
134.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
134.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
133.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
133.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
132.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
131.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
131.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
131.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
131.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
129.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
129.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
129.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
129.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
129.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
129.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
129.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
127.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
127.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
127.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
127.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
127.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
126.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
126.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
126.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
125.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
124.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
124.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
124.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
124.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
123.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
123.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
123.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
123.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
122.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
122.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
122.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
122.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
121.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
121.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
121.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
121.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
121.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
121.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
121.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
120.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
120.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
120.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
119.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
119.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
119.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
119.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
119.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
119.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
119.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
119.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
119.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
119.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
118.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
118.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
118.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
118.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
118.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
118.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
117.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
117.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
117.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
116.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
116.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
116.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
116.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
116.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
116.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
116.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
116.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
115.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
115.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
115.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
115.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
115.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
115.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
114.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
114.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
114.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
114.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
114.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
113.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
113.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
113.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
113.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
113.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
113.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
113.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
113.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
113.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
113.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
113.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
112.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
111.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
111.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
111.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
111.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
111.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
111.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
111.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
111.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
111.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
111.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
111.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
110.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
110.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
110.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
109.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
109.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
109.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
109.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
109.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
109.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
109.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
109.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
109.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
109.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
108.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
108.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
108.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
108.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
108.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
108.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
108.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
108.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
107.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
107.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
107.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
107.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
107.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
106.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
106.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
106.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
106.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
106.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
105.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
105.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
105.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
105.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
105.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
105.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
105.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
105.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
105.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
104.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
104.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
104.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
104.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
104.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
104.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
104.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
104.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
104.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
104.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
104.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
104.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
104.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
104.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
103.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
103.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
103.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
103.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
103.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
103.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
103.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
103.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
103.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
103.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
103.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
102.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
102.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
102.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
102.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
102.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
102.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
102.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
102.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
102.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
102.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
102.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
101.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
101.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
101.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
101.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
101.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
101.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
101.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
101.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
101.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
101.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
101.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
101.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
101.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
100.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
100.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
100.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
100.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
100.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
100.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
100.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
100.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
100.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
100.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
100.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
99.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
99.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
99.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
99.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
99.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
99.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
99.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
99.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
99.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
99.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
99.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
99.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
98.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
98.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
98.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
98.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
98.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
98.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
98.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
97.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
97.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
97.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
97.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
97.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
96.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
96.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
96.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
96.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
96.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
95.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
95.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
95.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
95.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
95.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
95.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
95.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
95.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
95.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
95.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
95.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
95.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
94.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
94.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
94.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
94.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
94.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
94.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
94.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
94.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
94.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
94.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
94.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
93.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
93.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
93.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
93.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
93.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
93.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
93.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
93.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
93.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
92.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
92.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
92.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
92.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
92.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
92.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
92.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
92.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
92.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
92.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
91.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
91.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
91.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
91.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
91.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
91.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
91.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
91.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
91.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
90.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
90.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
90.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
90.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
89.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
89.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
89.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
89.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
89.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
89.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
89.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
89.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
88.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
88.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
88.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
88.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
88.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
88.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
88.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
88.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
88.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
88.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
87.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
87.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
87.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
87.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
87.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
87.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
87.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
87.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
87.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
87.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
87.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
87.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
86.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
86.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
86.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
86.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
86.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
86.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
86.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
86.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
86.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
86.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
86.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
86.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
86.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
85.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
85.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
85.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
85.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
85.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
85.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
85.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
84.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
84.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
84.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
84.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
83.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
83.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
83.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
83.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
83.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
82.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
82.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
82.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
82.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
82.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
82.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
81.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
81.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
81.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
81.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
81.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
81.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
81.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
81.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
81.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
81.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
80.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
80.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
80.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
79.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
79.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
79.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
79.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
79.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
79.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
78.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
78.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
78.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
78.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
78.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
78.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
78.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
77.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
77.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
77.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
76.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
76.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
76.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
76.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
75.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
75.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
74.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
74.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
73.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
73.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
73.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
73.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
73.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
73.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
72.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
72.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
72.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
72.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
72.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
72.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
71.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
71.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
70.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
69.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
69.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
69.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
69.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
68.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
68.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
67.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
67.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
66.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
66.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
66.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
64.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
64.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
63.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
62.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
61.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
59.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
51.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MTPN 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
58.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
107.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
98.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
98.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
95.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
93.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
92.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
92.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
91.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
90.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
89.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
87.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
85.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
84.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
84.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
79.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
78.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
77.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
73.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
72.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
71.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
69.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
69.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
69.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
67.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
67.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
67.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
67.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
67.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
63.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
63.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
63.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
62.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
61.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
61.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
61.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
57.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
57.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
57.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
56.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
56.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
56.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
56.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
56.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
55.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
54.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
54.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
54.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
54.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
54.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
52.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
52.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
51.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
50.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
50.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
50.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
50.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
50.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
49.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
49.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
48.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
48.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
46.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
46.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
46.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
46.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
45.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
44.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
44.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
42.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
41.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
40.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
40.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
39.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
39.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
39.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
37.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
37.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
37.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
36.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
36.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
33.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
33.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
33.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
30.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
29.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MTPN 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
95.4
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
196.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
169.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
155.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
152.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
147.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
142.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
140.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
138.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
136.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
136.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
130.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
129.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
129.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
129.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
128.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
128.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
128.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
125.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
123.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
123.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
123.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
122.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
122.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
122.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
122.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
121.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
120.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
119.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
118.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
118.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
117.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
116.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
116.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
116.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
115.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
115.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
114.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
113.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
112.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
112.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
111.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
111.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
111.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
110.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
109.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
109.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
109.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
109.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
108.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
108.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
108.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
108.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
108.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
107.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
107.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
107.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
107.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
106.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
106.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
106.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
106.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
105.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
105.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
105.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
105.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
105.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
104.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
104.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
104.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
104.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
103.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
103.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
103.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
101.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
101.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
101.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
101.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
101.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
100.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
100.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
100.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
100.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
99.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
99.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
99.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
99.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
99.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
99.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
99.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
98.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
98.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
97.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
97.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
97.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
96.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
96.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
96.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
95.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
95.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
95.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
95.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
95.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
95.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
94.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
94.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
93.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
93.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
93.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
93.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
93.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
93.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
92.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
92.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
92.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
91.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
91.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
90.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
90.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
89.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
89.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
89.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
89.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
89.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
88.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
88.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
88.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
88.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
88.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
87.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
87.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
87.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
86.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
86.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
86.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
86.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
85.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
85.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
85.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
85.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
84.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
84.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
84.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
84.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
83.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
83.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
82.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
82.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
82.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
82.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
82.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
81.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
81.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
81.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
80.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
79.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
79.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
79.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
78.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
78.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
78.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
77.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
77.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
77.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
76.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
76.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
76.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
76.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
75.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
75.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
75.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
74.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
74.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
73.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
73.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
73.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
73.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
72.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
72.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
72.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
72.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
71.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
71.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
70.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
70.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
70.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
68.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
68.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
67.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
67.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
67.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
67.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
66.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
66.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
65.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
65.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
62.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
61.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
61.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
59.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
58.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
58.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
58.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
55.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
54.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
54.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
52.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.9
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.8
82157a70-12f1-4913-b548-d98881_D2
Normal
0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.7
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.8
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.8
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.2
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
