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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.
DLGAP4 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
49.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
116.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
111.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
92.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
89.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
87.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
86.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
85.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
84.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
84.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
83.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
83.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
83.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
83.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
82.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
80.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
79.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
78.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
78.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
78.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
77.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
77.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
76.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
75.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
74.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
72.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
72.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
72.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
72.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
71.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
71.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
71.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
70.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
70.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
70.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
70.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
70.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
69.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
69.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
68.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
68.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
68.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
67.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
67.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
67.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
66.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
66.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
66.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
66.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
66.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
63.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
63.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
63.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
63.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
62.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
62.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
62.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
62.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
61.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
61.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
61.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
61.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
61.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
61.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
60.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
60.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
60.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
60.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
60.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
60.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
60.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
59.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
59.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
58.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
58.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
58.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
57.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
57.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
56.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
56.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
56.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
56.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
56.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
55.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
55.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
55.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
55.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
55.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
55.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
55.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
54.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
54.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
54.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
53.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
53.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
53.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
53.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
52.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
52.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
52.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
51.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
51.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
51.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
51.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
50.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
50.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
50.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
49.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
49.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
49.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
49.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
49.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
48.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
48.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
48.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
48.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
48.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
48.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
47.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
47.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
47.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
47.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
47.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
47.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
46.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
46.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
46.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
46.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
46.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
45.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
45.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
45.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
45.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
44.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
44.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
44.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
44.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
44.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
44.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
43.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
43.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
43.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
43.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
43.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
43.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
42.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
42.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
42.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
42.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
41.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
41.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
41.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
41.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
41.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
41.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
41.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
41.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
40.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
40.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
40.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
40.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
40.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
40.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
40.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
40.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
40.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
40.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
39.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
39.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
39.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
39.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
39.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
38.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
38.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
38.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
38.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
38.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
38.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
38.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
38.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
37.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
37.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
37.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
37.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
37.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
37.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
37.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
37.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
37.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
36.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
36.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
36.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
36.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
36.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
35.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
35.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
35.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
34.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
34.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
34.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
34.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
34.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
33.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
33.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
33.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
32.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
32.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
32.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
32.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
31.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
31.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
31.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
31.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
30.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
30.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
30.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
29.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
29.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
29.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
28.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
28.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
28.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
28.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
27.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
27.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
27.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
27.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
26.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
26.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
25.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
25.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
25.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
24.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
23.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
23.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
23.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
22.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
21.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
21.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
20.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
20.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
19.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
19.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
19.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
18.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
17.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
11.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
5.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DLGAP4 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
70.1
Number of samples
486
Samples
Sample
Description
TPM
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
148.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
146.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
143.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
139.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
131.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
129.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
127.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
126.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
122.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
120.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
120.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
119.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
118.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
118.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
118.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
117.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
116.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
116.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
115.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
115.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
113.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
110.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
109.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
108.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
107.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
107.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
107.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
106.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
106.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
106.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
106.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
105.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
105.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
104.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
104.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
104.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
103.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
103.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
102.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
102.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
101.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
99.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
99.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
98.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
98.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
97.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
96.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
95.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
95.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
94.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
94.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
94.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
94.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
94.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
94.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
93.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
93.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
93.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
93.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
93.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
93.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
92.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
92.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
92.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
91.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
91.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
91.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
91.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
90.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
90.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
90.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
90.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
90.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
89.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
89.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
89.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
88.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
88.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
87.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
87.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
87.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
87.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
86.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
86.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
86.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
85.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
85.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
85.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
85.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
85.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
85.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
84.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
84.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
84.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
84.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
84.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
84.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
84.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
84.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
84.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
84.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
84.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
84.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
84.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
83.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
83.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
83.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
83.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
83.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
83.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
83.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
83.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
83.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
83.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
83.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
83.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
82.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
82.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
82.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
82.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
82.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
82.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
82.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
82.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
82.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
82.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
82.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
82.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
81.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
81.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
81.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
81.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
81.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
80.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
80.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
80.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
79.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
79.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
79.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
79.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
79.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
79.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
79.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
79.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
79.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
78.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
78.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
78.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
78.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
78.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
78.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
78.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
78.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
78.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
77.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
77.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
77.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
77.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
77.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
77.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
76.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
76.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
76.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
76.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
76.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
76.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
76.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
76.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
75.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
75.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
75.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
75.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
75.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
74.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
74.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
74.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
74.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
74.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
74.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
74.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
74.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
73.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
73.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
73.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
73.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
73.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
73.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
73.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
73.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
73.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
73.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
72.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
72.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
72.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
72.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
72.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
71.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
71.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
71.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
71.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
71.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
71.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
71.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
71.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
71.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
71.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
71.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
71.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
71.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
71.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
71.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
71.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
70.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
70.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
70.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
70.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
70.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
70.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
70.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
70.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
70.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
70.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
69.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
69.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
69.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
69.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
69.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
69.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
69.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
69.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
69.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
68.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
68.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
68.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
68.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
68.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
68.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
68.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
68.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
68.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
67.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
67.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
67.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
67.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
67.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
67.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
67.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
66.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
66.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
66.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
66.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
65.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
65.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
65.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
65.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
65.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
65.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
65.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
65.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
65.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
65.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
65.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
64.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
64.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
64.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
64.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
64.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
64.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
64.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
63.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
63.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
63.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
63.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
63.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
63.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
63.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
63.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
63.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
63.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
62.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
62.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
62.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
62.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
61.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
61.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
61.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
61.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
61.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
61.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
61.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
61.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
61.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
61.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
61.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
61.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
61.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
61.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
61.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
60.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
60.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
60.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
60.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
60.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
60.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
60.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
60.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
60.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
60.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
60.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
60.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
60.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
60.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
60.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
60.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
60.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
59.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
59.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
59.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
59.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
59.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
59.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
59.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
59.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
59.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
59.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
59.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
58.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
58.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
58.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
58.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
58.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
58.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
58.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
58.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
58.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
58.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
57.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
57.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
57.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
57.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
57.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
57.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
57.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
57.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
57.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
57.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
57.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
56.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
56.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
56.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
56.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
56.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
56.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
56.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
56.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
55.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
55.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
55.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
55.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
55.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
55.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
55.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
55.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
55.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
55.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
54.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
54.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
54.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
54.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
54.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
54.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
54.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
54.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
54.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
53.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
53.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
53.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
53.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
53.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
53.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
53.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
52.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
52.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
52.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
52.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
52.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
52.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
52.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
51.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
51.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
51.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
51.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
51.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
51.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
50.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
50.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
50.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
50.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
50.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
50.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
50.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
50.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
50.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
50.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
50.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
49.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
49.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
49.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
49.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
49.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
49.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
49.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
49.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
49.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
48.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
48.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
48.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
48.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
48.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
48.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
48.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
48.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
48.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
48.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
47.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
47.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
47.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
47.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
47.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
47.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
47.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
46.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
46.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
46.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
45.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
45.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
45.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
45.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
45.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
44.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
44.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
44.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
44.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
44.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
43.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
43.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
42.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
41.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
41.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
41.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
40.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
40.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
39.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
38.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
38.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
38.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
36.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
35.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
31.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
29.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DLGAP4 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
53.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
103.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
102.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
92.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
90.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
85.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
84.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
80.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
79.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
79.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
77.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
74.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
72.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
71.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
70.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
69.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
69.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
69.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
68.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
68.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
67.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
65.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
65.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
64.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
63.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
62.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
61.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
61.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
61.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
60.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
59.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
59.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
59.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
57.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
57.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
57.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
56.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
56.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
54.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
54.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
53.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
52.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
52.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
52.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
51.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
51.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
51.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
51.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
51.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
49.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
49.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
48.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
48.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
48.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
47.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
46.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
45.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
45.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
44.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
43.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
43.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
43.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
42.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
42.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
41.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
41.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
40.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
40.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
39.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
39.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
38.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
38.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
35.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
35.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
34.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
34.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
33.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
33.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
30.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
29.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
29.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
29.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
25.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
25.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
23.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
21.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
19.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DLGAP4 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
70.9
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
134.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
126.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
123.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
120.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
115.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
113.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
110.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
104.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
103.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
103.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
103.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
102.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
101.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
100.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
100.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
99.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
99.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
99.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
98.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
97.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
95.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
95.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
94.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
93.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
92.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
91.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
90.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
90.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
90.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
89.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
88.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
88.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
88.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
88.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
87.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
87.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
87.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
87.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
87.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
86.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
86.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
85.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
85.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
85.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
85.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
85.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
84.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
84.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
84.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
83.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
82.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
82.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
82.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
81.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
80.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
80.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
80.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
80.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
79.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
79.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
79.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
79.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
78.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
78.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
78.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
78.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
77.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
77.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
77.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
76.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
76.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
76.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
76.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
76.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
75.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
75.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
75.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
75.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
75.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
75.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
75.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
74.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
74.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
74.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
74.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
73.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
73.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
73.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
73.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
72.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
72.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
71.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
71.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
71.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
71.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
70.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
69.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
69.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
69.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
69.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
69.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
69.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
69.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
68.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
68.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
68.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
68.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
68.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
67.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
67.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
67.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
67.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
67.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
67.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
66.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
66.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
66.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
66.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
65.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
65.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
65.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
65.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
65.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
64.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
64.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
64.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
64.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
64.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
64.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
64.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
63.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
63.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
63.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
63.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
63.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
63.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
62.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
62.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
61.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
61.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
61.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
61.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
60.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
60.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
60.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
60.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
60.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
59.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
59.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
59.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
59.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
58.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
58.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
58.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
58.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
57.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
57.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
57.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
57.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
56.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
56.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
56.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
56.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
55.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
55.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
55.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
55.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
55.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
55.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
55.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
55.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
54.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
54.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
53.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
53.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
52.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
52.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
52.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
52.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
52.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
52.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
52.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
52.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
52.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
51.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
51.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
51.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
50.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
50.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
49.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
49.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
47.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
46.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
45.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
45.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
43.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
42.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
41.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
41.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
40.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
39.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
39.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
38.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
37.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
36.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
25.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-1.1
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.