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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.
ORMDL3 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
58.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
531.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
491.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
121.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
120.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
117.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
116.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
115.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
115.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
114.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
111.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
111.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
107.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
93.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
93.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
91.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
91.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
91.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
87.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
86.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
85.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
85.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
80.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
79.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
79.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
79.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
76.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
75.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
75.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
74.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
74.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
73.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
73.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
72.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
71.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
71.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
70.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
70.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
70.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
68.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
68.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
67.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
67.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
67.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
67.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
67.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
66.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
66.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
66.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
66.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
65.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
65.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
65.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
65.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
65.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
65.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
64.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
64.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
64.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
64.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
64.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
64.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
64.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
64.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
63.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
63.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
63.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
62.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
62.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
62.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
61.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
61.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
60.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
60.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
60.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
60.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
60.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
60.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
60.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
59.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
59.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
59.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
59.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
59.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
59.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
58.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
58.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
58.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
58.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
58.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
58.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
58.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
57.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
57.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
57.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
57.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
56.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
56.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
56.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
56.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
55.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
55.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
55.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
55.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
55.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
55.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
55.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
55.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
55.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
55.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
55.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
54.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
54.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
54.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
54.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
54.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
53.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
53.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
53.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
53.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
53.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
53.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
53.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
53.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
53.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
53.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
52.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
52.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
52.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
52.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
52.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
52.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
52.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
52.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
51.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
51.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
51.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
51.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
51.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
51.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
51.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
50.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
50.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
50.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
50.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
50.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
50.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
50.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
49.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
49.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
49.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
49.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
49.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
49.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
48.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
48.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
48.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
48.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
48.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
48.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
48.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
48.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
47.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
47.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
47.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
47.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
47.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
46.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
46.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
46.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
46.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
46.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
46.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
45.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
45.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
45.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
45.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
45.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
45.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
45.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
45.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
45.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
45.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
45.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
44.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
44.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
44.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
44.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
44.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
44.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
44.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
43.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
43.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
43.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
43.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
42.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
42.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
42.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
42.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
42.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
41.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
41.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
41.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
41.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
41.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
41.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
41.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
40.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
40.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
40.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
40.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
40.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
40.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
40.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
39.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
39.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
38.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
38.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
38.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
37.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
37.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
37.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
37.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
37.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
37.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
37.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
37.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
36.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
36.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
36.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
35.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
35.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
33.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
33.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
32.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
32.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
32.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
31.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
31.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
30.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
30.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
30.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
30.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
29.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
29.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
28.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
27.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
26.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
23.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ORMDL3 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
65.3
Number of samples
486
Samples
Sample
Description
TPM
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
557.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
415.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
159.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
134.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
133.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
127.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
119.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
116.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
116.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
112.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
111.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
107.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
107.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
106.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
105.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
104.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
104.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
104.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
103.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
103.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
101.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
101.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
101.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
100.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
99.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
99.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
98.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
98.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
98.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
97.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
97.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
96.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
96.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
95.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
93.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
92.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
92.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
91.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
91.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
90.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
90.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
90.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
89.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
89.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
89.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
89.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
88.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
88.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
88.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
88.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
86.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
86.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
86.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
86.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
85.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
85.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
85.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
85.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
84.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
84.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
84.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
84.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
83.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
83.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
83.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
83.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
83.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
83.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
83.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
83.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
83.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
82.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
82.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
82.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
82.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
82.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
82.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
81.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
80.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
80.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
80.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
79.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
79.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
79.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
79.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
79.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
78.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
78.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
78.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
78.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
78.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
77.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
77.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
76.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
76.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
76.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
76.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
76.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
76.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
75.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
75.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
75.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
75.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
74.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
74.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
73.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
73.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
73.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
73.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
73.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
73.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
73.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
73.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
73.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
72.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
72.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
72.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
72.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
72.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
72.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
72.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
72.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
72.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
71.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
71.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
71.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
71.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
71.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
71.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
71.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
71.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
71.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
71.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
71.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
70.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
70.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
70.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
70.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
70.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
70.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
70.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
70.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
69.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
69.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
69.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
69.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
69.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
69.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
68.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
68.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
68.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
68.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
68.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
68.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
68.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
68.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
68.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
68.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
68.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
68.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
67.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
67.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
67.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
67.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
67.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
67.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
67.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
67.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
67.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
67.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
67.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
67.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
66.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
66.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
66.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
66.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
66.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
66.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
66.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
66.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
65.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
65.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
65.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
65.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
65.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
65.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
65.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
65.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
64.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
64.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
64.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
64.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
64.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
64.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
64.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
64.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
63.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
63.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
63.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
63.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
63.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
63.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
63.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
63.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
63.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
63.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
63.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
63.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
63.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
63.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
63.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
62.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
62.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
62.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
62.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
62.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
62.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
62.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
62.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
62.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
61.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
61.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
61.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
61.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
61.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
61.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
61.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
61.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
61.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
61.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
61.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
61.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
61.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
60.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
60.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
60.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
60.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
60.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
60.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
60.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
60.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
60.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
60.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
60.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
60.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
60.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
60.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
60.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
60.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
60.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
60.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
59.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
59.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
59.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
59.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
59.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
59.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
59.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
59.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
59.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
59.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
59.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
59.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
59.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
58.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
58.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
58.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
58.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
58.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
58.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
58.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
58.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
58.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
58.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
58.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
58.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
58.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
58.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
58.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
58.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
58.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
57.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
57.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
57.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
57.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
57.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
57.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
57.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
57.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
57.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
57.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
57.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
57.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
57.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
57.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
57.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
56.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
56.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
56.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
56.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
56.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
56.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
56.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
56.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
55.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
55.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
55.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
55.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
55.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
55.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
55.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
55.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
55.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
55.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
55.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
55.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
55.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
55.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
55.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
55.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
54.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
54.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
54.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
54.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
54.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
54.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
54.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
54.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
54.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
54.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
54.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
54.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
54.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
54.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
54.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
54.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
54.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
54.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
53.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
53.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
53.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
53.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
53.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
53.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
53.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
53.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
53.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
52.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
52.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
52.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
52.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
52.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
52.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
52.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
52.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
52.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
51.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
51.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
51.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
51.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
51.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
51.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
51.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
51.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
51.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
51.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
50.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
50.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
50.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
50.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
50.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
50.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
50.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
50.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
50.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
50.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
49.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
49.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
49.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
49.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
49.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
49.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
49.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
49.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
49.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
49.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
49.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
49.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
49.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
48.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
48.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
48.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
48.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
48.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
48.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
48.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
48.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
48.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
48.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
48.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
47.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
47.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
47.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
47.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
47.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
47.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
46.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
46.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
46.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
46.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
46.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
46.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
46.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
45.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
45.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
45.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
45.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
45.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
45.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
44.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
44.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
44.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
44.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
44.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
43.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
43.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
42.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
42.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
42.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
42.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
42.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
42.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
41.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
41.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
41.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
41.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
41.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
41.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
41.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
40.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
40.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
40.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
40.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
40.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
40.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
40.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
39.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
39.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
39.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
39.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
39.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
39.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
38.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
38.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
38.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
37.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
36.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
36.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
36.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
34.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
33.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
31.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
31.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ORMDL3 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
52.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
255.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
97.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
84.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
82.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
81.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
80.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
75.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
73.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
72.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
70.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
69.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
69.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
65.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
65.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
64.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
64.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
64.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
63.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
63.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
62.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
61.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
59.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
57.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
57.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
56.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
56.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
55.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
55.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
54.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
54.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
53.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
53.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
53.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
53.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
52.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
52.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
52.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
52.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
51.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
51.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
50.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
50.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
50.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
50.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
50.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
50.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
49.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
49.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
49.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
48.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
47.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
47.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
46.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
46.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
46.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
45.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
45.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
44.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
44.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
44.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
43.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
43.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
42.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
41.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
41.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
41.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
40.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
40.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
40.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
39.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
38.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
36.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
36.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
35.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
34.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
33.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
33.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
29.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
29.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
28.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
28.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
27.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
25.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
22.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
19.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
18.9
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.
ORMDL3 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
70.8
Number of samples
207
Samples
Sample
Description
TPM
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
1765.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
638.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
445.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
371.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
254.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
109.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
105.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
98.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
98.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
97.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
94.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
94.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
93.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
92.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
92.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
90.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
89.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
89.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
84.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
81.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
80.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
80.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
79.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
79.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
78.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
78.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
77.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
77.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
76.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
75.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
74.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
74.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
74.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
73.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
72.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
72.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
71.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
70.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
69.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
69.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
68.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
68.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
68.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
68.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
68.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
67.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
67.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
67.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
67.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
66.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
65.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
65.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
64.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
64.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
64.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
64.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
63.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
62.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
62.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
62.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
62.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
62.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
62.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
62.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
61.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
61.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
61.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
60.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
60.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
60.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
60.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
60.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
59.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
59.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
58.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
58.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
58.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
58.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
58.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
57.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
57.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
57.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
57.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
56.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
56.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
56.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
56.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
56.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
55.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
55.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
55.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
54.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
54.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
54.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
54.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
54.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
54.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
54.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
54.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
54.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
54.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
53.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
53.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
52.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
52.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
51.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
51.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
51.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
51.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
51.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
50.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
50.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
50.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
50.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
50.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
50.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
50.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
49.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
49.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
49.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
49.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
48.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
48.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
48.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
48.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
48.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
48.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
48.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
47.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
47.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
47.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
46.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
46.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
45.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
45.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
45.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
45.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
45.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
45.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
45.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
45.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
45.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
44.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
43.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
43.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
43.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
43.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
43.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
43.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
43.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
43.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
42.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
42.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
42.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
42.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
42.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
41.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
40.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
40.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
40.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
40.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
39.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
39.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
39.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
38.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
38.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
38.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
38.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
38.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
38.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
37.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
37.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
35.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
35.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
35.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
32.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
32.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
31.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
31.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
30.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
28.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
27.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
b2400046-1d25-429d-a821-6040a6
Tumor
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.