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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.
MGLL 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
47.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
238.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
147.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
131.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
122.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
113.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
112.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
112.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
100.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
99.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
94.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
94.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
94.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
90.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
87.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
87.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
85.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
82.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
80.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
80.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
80.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
79.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
79.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
79.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
78.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
78.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
77.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
76.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
76.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
76.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
75.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
74.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
73.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
72.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
71.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
71.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
70.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
70.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
70.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
69.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
69.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
69.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
68.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
67.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
67.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
66.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
65.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
65.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
65.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
64.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
64.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
63.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
63.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
62.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
62.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
62.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
61.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
61.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
61.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
61.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
60.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
59.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
59.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
59.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
58.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
58.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
58.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
58.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
58.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
58.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
58.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
57.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
56.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
56.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
56.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
55.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
55.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
55.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
55.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
54.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
54.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
54.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
54.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
54.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
54.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
54.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
53.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
53.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
53.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
53.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
52.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
51.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
51.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
51.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
50.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
50.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
50.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
50.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
49.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
49.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
49.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
49.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
49.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
48.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
48.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
48.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
48.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
48.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
47.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
47.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
47.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
47.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
47.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
47.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
46.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
45.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
45.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
45.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
45.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
44.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
44.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
44.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
44.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
43.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
43.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
43.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
43.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
43.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
42.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
42.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
42.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
41.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
41.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
40.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
40.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
40.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
40.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
40.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
39.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
39.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
39.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
39.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
39.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
38.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
38.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
37.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
37.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
37.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
37.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
37.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
37.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
36.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
36.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
36.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
36.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
36.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
36.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
35.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
35.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
35.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
35.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
35.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
34.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
34.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
34.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
34.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
34.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
34.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
34.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
33.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
33.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
33.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
33.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
33.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
32.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
31.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
31.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
30.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
30.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
30.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
29.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
29.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
29.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
29.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
28.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
28.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
28.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
28.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
28.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
28.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
28.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
28.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
27.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
27.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
27.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
27.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
27.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
27.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
27.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
26.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
26.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
26.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
26.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
26.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
26.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
25.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
25.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
25.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
25.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
25.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
25.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
25.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
25.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
24.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
24.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
24.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
24.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
24.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
24.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
23.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
23.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
23.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
23.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
21.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
21.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
21.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
21.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
21.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
20.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
20.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
19.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
18.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
18.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
17.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
17.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
17.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
16.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
16.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
16.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
16.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
15.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
14.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
13.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
13.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
10.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
7.2
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.
MGLL 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
66.2
Number of samples
486
Samples
Sample
Description
TPM
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
206.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
201.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
191.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
174.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
171.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
161.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
161.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
160.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
158.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
154.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
152.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
144.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
143.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
135.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
133.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
130.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
129.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
128.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
128.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
127.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
125.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
123.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
122.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
122.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
122.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
121.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
121.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
120.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
120.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
120.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
117.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
116.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
115.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
115.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
115.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
114.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
113.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
113.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
112.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
111.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
110.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
109.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
108.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
107.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
107.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
107.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
106.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
106.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
106.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
105.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
105.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
105.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
105.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
104.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
102.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
101.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
101.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
101.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
101.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
100.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
99.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
99.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
98.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
98.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
97.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
97.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
96.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
96.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
95.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
95.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
94.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
94.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
93.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
93.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
92.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
92.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
92.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
90.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
90.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
89.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
89.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
88.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
88.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
87.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
87.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
87.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
86.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
86.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
86.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
86.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
86.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
86.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
86.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
85.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
85.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
85.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
84.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
84.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
84.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
84.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
84.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
83.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
83.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
83.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
83.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
83.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
82.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
82.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
82.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
82.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
82.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
82.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
81.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
81.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
81.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
81.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
81.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
81.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
81.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
80.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
80.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
80.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
79.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
79.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
79.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
79.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
79.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
79.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
79.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
79.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
79.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
79.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
78.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
78.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
78.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
78.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
78.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
77.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
77.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
77.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
77.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
76.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
76.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
76.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
76.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
76.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
75.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
75.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
75.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
75.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
74.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
74.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
74.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
74.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
73.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
73.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
73.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
73.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
73.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
73.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
73.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
72.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
72.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
72.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
72.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
72.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
72.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
72.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
72.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
71.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
71.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
71.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
71.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
70.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
70.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
70.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
70.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
70.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
70.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
70.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
70.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
70.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
69.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
69.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
69.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
69.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
68.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
68.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
68.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
68.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
68.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
67.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
67.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
67.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
67.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
67.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
67.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
67.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
67.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
67.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
67.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
67.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
67.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
66.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
66.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
66.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
66.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
65.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
65.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
65.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
65.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
65.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
65.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
65.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
65.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
65.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
64.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
64.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
64.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
64.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
64.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
64.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
64.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
64.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
64.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
64.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
64.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
63.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
63.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
63.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
63.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
63.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
63.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
63.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
62.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
62.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
62.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
62.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
62.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
62.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
62.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
62.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
62.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
62.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
62.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
62.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
61.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
61.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
61.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
60.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
60.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
60.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
60.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
60.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
60.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
59.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
59.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
59.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
59.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
58.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
58.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
58.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
58.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
58.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
57.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
57.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
57.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
57.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
57.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
57.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
57.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
56.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
56.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
56.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
56.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
56.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
56.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
55.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
55.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
55.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
55.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
55.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
55.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
55.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
55.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
55.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
55.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
54.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
54.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
54.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
54.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
54.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
54.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
54.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
54.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
53.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
53.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
53.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
53.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
53.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
52.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
52.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
52.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
52.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
52.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
52.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
52.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
52.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
52.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
52.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
52.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
52.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
52.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
51.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
51.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
51.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
51.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
51.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
51.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
50.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
50.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
50.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
50.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
50.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
50.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
50.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
50.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
49.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
49.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
49.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
48.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
48.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
48.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
48.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
48.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
48.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
48.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
48.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
48.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
47.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
47.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
47.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
47.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
47.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
47.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
47.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
47.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
47.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
47.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
47.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
46.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
46.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
46.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
46.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
46.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
46.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
46.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
46.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
45.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
45.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
45.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
45.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
45.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
45.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
45.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
44.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
44.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
44.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
44.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
44.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
44.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
43.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
43.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
43.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
43.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
43.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
42.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
42.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
42.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
42.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
42.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
42.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
42.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
41.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
41.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
41.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
41.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
41.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
40.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
40.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
40.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
40.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
39.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
39.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
39.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
39.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
38.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
38.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
38.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
38.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
38.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
38.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
38.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
37.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
37.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
37.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
36.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
36.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
36.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
36.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
36.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
36.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
35.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
35.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
34.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
34.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
34.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
34.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
33.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
33.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
33.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
32.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
32.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
31.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
30.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
30.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
30.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
30.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
30.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
30.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
30.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
30.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
29.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
29.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
29.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
28.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
28.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
27.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
26.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
26.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
26.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
25.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
25.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
24.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
24.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
22.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
22.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
22.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
21.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
21.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
20.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
20.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
19.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
19.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
19.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
15.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
14.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
11.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
9.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
5.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.0
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.
MGLL 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
46.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
117.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
112.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
93.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
90.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
89.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
86.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
85.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
83.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
82.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
80.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
79.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
78.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
71.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
69.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
68.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
67.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
65.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
65.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
62.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
61.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
60.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
57.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
56.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
56.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
56.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
56.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
56.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
54.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
51.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
51.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
50.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
49.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
49.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
49.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
48.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
48.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
47.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
46.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
46.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
46.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
46.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
46.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
45.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
45.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
44.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
44.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
43.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
42.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
42.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
41.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
40.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
40.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
38.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
37.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
37.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
37.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
36.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
35.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
34.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
34.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
34.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
33.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
33.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
32.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
31.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
31.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
31.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
30.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
29.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
28.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
27.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
27.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
27.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
26.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
26.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
23.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
21.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
19.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
18.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
18.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
17.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
15.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
15.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
14.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
11.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
11.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 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.
MGLL 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
63.7
Number of samples
207
Samples
Sample
Description
TPM
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
181.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
178.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
150.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
132.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
132.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
131.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
122.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
121.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
121.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
119.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
115.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
114.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
114.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
109.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
107.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
106.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
105.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
104.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
103.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
103.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
102.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
101.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
100.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
99.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
93.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
92.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
91.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
90.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
89.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
89.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
89.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
88.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
87.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
86.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
86.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
85.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
85.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
84.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
84.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
84.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
83.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
82.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
81.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
81.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
81.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
80.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
79.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
79.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
79.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
78.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
76.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
76.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
75.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
74.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
74.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
73.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
73.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
73.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
72.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
71.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
71.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
71.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
71.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
70.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
70.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
70.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
69.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
69.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
69.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
68.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
68.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
68.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
68.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
68.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
68.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
67.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
67.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
67.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
66.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
66.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
66.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
66.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
66.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
65.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
64.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
64.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
64.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
64.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
63.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
63.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
63.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
62.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
62.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
61.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
61.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
61.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
61.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
60.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
60.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
60.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
59.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
59.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
59.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
59.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
58.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
58.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
57.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
57.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
57.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
57.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
56.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
56.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
56.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
56.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
56.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
56.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
56.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
55.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
55.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
55.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
54.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
54.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
54.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
54.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
54.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
54.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
54.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
53.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
52.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
52.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
52.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
51.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
50.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
50.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
49.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
49.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
49.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
48.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
48.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
48.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
48.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
48.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
48.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
46.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
46.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
46.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
45.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
44.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
44.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
44.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
43.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
42.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
42.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
42.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
42.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
41.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
41.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
41.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
40.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
40.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
39.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
38.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
38.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
38.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
37.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
37.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
37.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
37.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
36.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
36.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
36.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
36.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
36.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
35.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
35.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
35.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
34.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
34.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
34.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
34.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
33.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
32.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
32.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
31.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
30.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
30.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
27.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
18.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
18.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
17.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
17.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
17.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
14.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.9
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.8
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.8
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.7
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.7
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.8
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.9
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.9
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
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.
The Human Protein Atlas project is funded
