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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.
COASY 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
48.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
119.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
97.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
92.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
91.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
89.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
87.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
82.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
82.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
81.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
80.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
79.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
78.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
77.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
77.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
74.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
74.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
72.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
72.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
72.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
72.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
71.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
70.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
70.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
69.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
68.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
68.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
67.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
67.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
67.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
65.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
65.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
64.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
64.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
63.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
63.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
63.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
62.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
62.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
62.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
61.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
61.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
61.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
61.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
60.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
60.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
59.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
59.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
59.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
59.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
59.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
58.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
58.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
58.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
58.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
58.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
58.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
58.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
58.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
58.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
58.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
57.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
57.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
57.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
56.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
56.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
56.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
56.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
56.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
56.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
56.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
56.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
56.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
55.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
55.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
55.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
55.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
55.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
55.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
55.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
55.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
54.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
54.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
53.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
52.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
52.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
52.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
52.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
52.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
51.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
51.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
51.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
51.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
51.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
51.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
51.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
51.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
51.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
50.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
50.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
50.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
50.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
50.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
50.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
50.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
49.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
49.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
49.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
49.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
49.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
49.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
48.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
48.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
48.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
48.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
48.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
48.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
48.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
48.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
47.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
47.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
47.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
47.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
47.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
47.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
47.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
47.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
47.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
47.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
47.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
46.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
46.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
46.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
46.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
46.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
46.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
46.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
46.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
46.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
45.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
45.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
45.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
45.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
45.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
45.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
45.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
44.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
44.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
44.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
44.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
44.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
43.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
43.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
43.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
43.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
43.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
42.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
42.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
42.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
42.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
42.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
41.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
41.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
41.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
41.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
41.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
41.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
41.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
41.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
41.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
41.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
40.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
40.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
40.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
40.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
40.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
40.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
39.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
39.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
39.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
38.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
38.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
38.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
38.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
38.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
37.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
37.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
37.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
37.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
37.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
37.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
37.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
36.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
36.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
36.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
36.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
36.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
36.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
35.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
35.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
35.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
35.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
35.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
35.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
34.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
34.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
34.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
34.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
34.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
34.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
34.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
33.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
33.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
33.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
33.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
33.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
32.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
32.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
32.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
32.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
32.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
32.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
32.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
31.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
31.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
31.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
30.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
29.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
29.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
27.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
26.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
26.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
26.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
25.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
25.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
25.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
25.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
24.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
24.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
23.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
23.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
21.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
21.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
19.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
18.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
COASY 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
47.4
Number of samples
486
Samples
Sample
Description
TPM
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
89.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
88.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
86.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
83.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
83.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
80.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
78.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
77.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
76.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
76.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
76.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
75.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
75.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
74.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
73.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
73.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
73.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
73.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
72.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
72.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
72.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
72.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
71.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
71.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
71.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
70.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
70.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
70.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
70.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
69.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
69.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
69.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
68.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
68.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
68.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
67.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
67.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
67.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
67.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
66.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
66.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
65.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
65.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
65.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
65.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
64.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
64.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
64.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
64.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
64.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
63.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
63.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
63.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
63.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
63.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
62.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
62.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
62.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
62.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
62.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
62.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
62.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
61.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
61.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
61.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
61.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
61.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
61.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
61.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
61.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
61.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
61.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
60.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
60.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
60.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
60.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
60.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
60.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
60.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
60.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
59.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
59.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
59.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
59.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
58.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
58.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
58.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
58.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
58.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
57.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
57.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
57.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
57.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
57.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
57.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
57.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
57.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
57.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
57.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
57.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
57.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
57.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
56.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
56.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
56.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
56.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
55.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
55.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
55.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
55.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
55.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
55.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
55.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
55.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
55.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
55.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
55.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
54.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
54.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
54.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
54.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
54.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
54.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
54.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
54.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
54.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
54.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
54.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
53.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
53.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
53.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
53.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
53.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
53.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
52.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
52.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
52.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
52.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
52.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
52.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
52.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
52.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
52.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
52.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
52.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
52.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
52.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
52.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
52.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
52.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
52.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
51.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
51.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
51.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
51.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
51.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
51.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
51.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
51.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
51.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
51.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
51.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
51.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
50.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
50.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
50.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
50.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
50.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
50.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
50.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
50.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
50.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
50.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
49.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
49.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
49.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
49.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
49.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
49.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
49.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
49.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
49.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
49.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
49.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
49.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
49.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
49.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
48.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
48.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
48.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
48.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
48.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
48.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
48.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
48.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
48.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
48.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
48.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
48.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
48.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
47.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
47.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
47.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
47.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
46.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
46.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
46.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
46.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
46.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
46.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
46.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
46.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
46.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
46.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
46.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
46.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
46.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
46.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
46.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
46.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
46.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
46.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
46.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
45.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
45.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
45.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
45.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
45.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
45.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
45.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
45.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
45.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
45.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
45.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
45.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
45.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
45.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
45.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
45.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
45.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
45.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
45.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
45.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
44.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
44.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
44.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
44.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
44.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
44.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
44.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
44.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
44.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
44.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
44.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
44.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
44.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
44.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
43.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
43.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
43.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
43.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
43.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
43.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
43.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
43.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
43.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
43.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
43.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
43.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
43.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
43.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
43.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
43.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
43.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
43.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
42.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
42.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
42.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
42.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
42.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
42.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
42.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
42.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
42.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
42.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
42.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
42.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
41.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
41.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
41.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
41.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
41.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
41.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
41.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
41.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
41.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
41.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
41.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
41.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
41.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
41.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
41.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
41.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
40.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
40.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
40.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
40.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
40.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
40.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
40.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
40.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
40.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
40.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
40.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
40.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
40.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
40.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
40.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
40.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
40.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
39.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
39.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
39.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
39.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
39.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
39.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
39.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
39.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
39.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
39.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
39.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
39.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
38.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
38.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
38.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
38.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
38.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
38.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
38.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
38.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
38.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
38.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
37.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
37.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
37.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
37.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
37.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
37.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
37.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
36.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
36.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
36.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
36.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
36.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
36.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
36.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
36.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
36.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
36.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
36.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
36.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
35.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
35.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
35.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
35.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
35.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
35.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
35.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
35.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
34.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
34.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
34.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
34.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
34.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
34.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
34.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
34.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
34.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
34.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
34.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
34.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
34.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
34.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
33.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
33.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
33.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
33.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
33.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
32.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
32.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
32.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
32.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
31.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
31.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
31.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
31.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
31.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
31.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
31.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
31.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
31.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
31.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
29.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
29.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
29.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
29.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
29.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
29.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
29.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
28.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
28.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
28.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
27.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
27.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
27.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
26.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
26.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
25.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
25.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
25.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
24.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
24.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
23.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
21.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
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.
COASY 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
42.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
111.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
86.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
72.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
70.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
68.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
66.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
60.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
59.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
57.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
57.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
57.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
56.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
55.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
55.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
53.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
53.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
52.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
52.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
50.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
50.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
50.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
49.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
49.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
49.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
49.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
48.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
48.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
48.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
47.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
46.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
46.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
45.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
45.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
45.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
44.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
44.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
44.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
44.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
43.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
43.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
43.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
42.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
42.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
42.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
41.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
40.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
40.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
40.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
38.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
38.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
37.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
37.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
36.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
36.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
36.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
36.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
36.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
36.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
36.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
35.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
35.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
35.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
33.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
33.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
33.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
33.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
32.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
31.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
30.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
29.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
29.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
29.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
29.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
29.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
28.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
27.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
27.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
26.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
26.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
25.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
18.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
14.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.1
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.
COASY 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
39.2
Number of samples
207
Samples
Sample
Description
TPM
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
117.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
88.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
76.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
74.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
68.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
65.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
63.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
63.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
59.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
59.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
58.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
58.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
57.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
57.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
56.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
56.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
56.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
55.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
54.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
53.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
53.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
53.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
52.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
52.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
51.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
51.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
51.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
50.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
50.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
50.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
49.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
49.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
49.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
48.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
48.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
48.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
48.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
47.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
47.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
47.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
46.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
46.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
46.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
46.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
46.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
46.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
45.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
45.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
45.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
44.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
44.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
44.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
44.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
44.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
44.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
43.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
43.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
43.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
42.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
42.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
42.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
42.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
42.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
42.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
42.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
41.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
41.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
41.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
41.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
41.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
40.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
40.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
40.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
40.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
40.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
40.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
39.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
39.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
39.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
39.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
39.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
38.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
38.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
38.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
38.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
38.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
38.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
38.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
37.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
37.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
37.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
36.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
36.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
36.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
36.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
36.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
36.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
36.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
35.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
35.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
35.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
35.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
35.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
35.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
35.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
34.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
34.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
34.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
33.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
33.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
33.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
33.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
33.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
33.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
32.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
32.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
32.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
32.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
32.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
32.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
32.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
32.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
32.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
31.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
31.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
31.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
31.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
30.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
30.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
30.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
30.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
30.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
30.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
30.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
29.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
29.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
29.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
29.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
29.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
28.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
28.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
27.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
27.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
27.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
27.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
27.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
26.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
26.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
26.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
26.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
26.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
26.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
25.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
25.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
25.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
25.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
25.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
24.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
24.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
23.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
22.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
22.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
21.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
21.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
1.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.8
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
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Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
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Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
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Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
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Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
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Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
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Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.3
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Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.7
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.