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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.
MGAT1 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
51.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
151.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
128.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
107.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
102.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
101.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
101.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
98.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
94.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
93.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
93.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
92.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
91.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
90.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
88.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
88.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
83.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
82.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
79.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
77.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
77.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
76.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
74.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
74.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
74.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
73.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
73.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
73.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
73.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
73.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
72.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
72.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
71.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
71.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
71.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
70.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
70.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
70.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
69.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
69.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
69.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
68.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
68.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
68.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
68.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
67.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
67.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
67.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
66.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
66.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
66.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
65.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
65.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
64.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
64.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
64.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
63.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
63.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
63.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
63.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
62.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
61.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
61.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
61.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
61.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
60.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
59.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
59.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
59.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
59.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
59.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
59.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
58.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
58.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
58.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
58.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
58.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
57.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
57.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
57.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
57.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
57.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
57.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
57.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
57.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
57.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
57.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
57.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
56.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
56.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
56.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
56.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
56.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
56.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
55.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
55.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
55.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
55.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
55.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
54.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
54.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
54.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
54.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
54.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
54.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
54.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
54.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
54.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
53.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
53.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
53.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
53.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
53.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
53.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
52.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
52.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
52.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
52.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
52.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
52.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
51.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
51.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
51.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
51.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
51.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
51.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
50.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
50.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
50.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
50.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
50.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
49.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
49.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
49.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
49.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
49.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
49.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
49.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
48.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
48.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
48.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
48.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
48.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
48.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
48.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
48.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
48.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
48.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
47.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
47.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
47.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
47.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
46.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
46.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
45.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
45.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
45.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
45.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
45.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
45.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
45.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
44.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
44.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
44.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
43.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
43.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
43.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
43.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
43.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
43.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
43.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
43.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
43.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
42.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
42.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
41.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
40.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
40.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
40.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
40.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
40.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
40.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
40.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
40.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
39.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
39.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
39.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
38.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
38.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
38.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
37.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
37.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
36.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
36.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
36.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
35.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
35.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
34.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
34.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
34.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
34.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
34.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
34.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
33.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
33.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
33.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
33.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
33.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
32.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
32.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
32.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
32.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
31.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
31.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
31.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
30.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
30.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
30.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
30.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
29.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
29.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
29.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
29.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
29.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
28.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
28.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
28.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
27.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
27.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
27.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
27.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
27.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
27.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
26.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
26.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
26.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
26.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
26.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
25.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
25.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
25.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
24.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
23.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
23.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
23.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
21.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
21.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
20.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
19.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
18.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 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.
MGAT1 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
60.9
Number of samples
486
Samples
Sample
Description
TPM
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
125.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
123.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
120.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
113.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
112.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
107.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
106.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
105.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
104.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
103.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
103.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
103.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
101.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
100.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
100.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
99.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
98.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
98.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
98.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
97.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
97.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
96.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
96.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
96.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
95.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
94.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
94.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
92.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
91.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
90.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
90.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
89.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
89.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
88.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
88.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
88.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
88.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
87.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
87.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
87.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
87.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
86.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
86.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
86.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
86.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
86.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
85.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
84.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
84.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
84.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
84.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
83.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
83.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
83.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
82.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
82.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
82.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
82.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
81.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
81.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
81.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
81.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
80.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
80.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
80.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
80.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
80.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
80.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
80.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
79.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
79.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
79.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
79.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
78.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
78.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
78.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
78.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
78.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
78.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
78.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
78.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
78.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
78.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
77.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
77.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
77.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
77.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
76.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
76.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
76.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
76.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
75.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
75.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
75.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
75.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
75.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
75.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
75.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
75.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
74.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
74.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
74.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
73.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
73.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
73.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
73.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
73.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
73.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
73.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
73.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
73.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
73.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
73.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
72.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
72.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
72.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
72.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
72.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
72.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
71.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
71.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
71.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
71.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
71.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
71.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
71.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
71.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
70.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
70.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
70.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
70.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
70.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
70.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
70.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
69.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
69.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
69.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
69.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
69.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
69.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
69.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
69.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
68.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
68.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
68.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
68.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
68.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
67.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
67.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
67.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
67.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
67.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
67.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
67.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
67.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
67.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
67.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
67.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
67.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
66.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
66.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
66.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
66.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
66.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
66.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
66.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
65.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
65.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
65.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
65.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
65.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
65.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
65.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
65.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
64.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
64.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
64.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
64.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
64.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
64.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
64.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
64.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
64.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
64.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
64.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
63.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
63.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
63.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
63.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
63.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
63.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
63.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
63.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
62.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
62.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
62.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
62.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
62.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
62.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
62.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
62.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
62.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
62.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
62.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
61.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
61.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
61.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
61.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
61.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
61.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
61.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
61.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
61.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
61.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
61.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
61.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
61.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
61.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
61.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
61.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
61.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
61.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
61.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
61.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
60.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
60.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
60.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
60.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
60.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
60.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
60.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
59.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
59.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
59.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
59.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
59.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
59.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
59.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
59.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
58.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
58.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
58.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
58.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
58.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
58.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
58.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
58.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
58.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
58.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
58.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
58.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
58.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
58.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
57.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
57.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
57.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
57.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
57.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
57.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
57.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
57.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
57.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
57.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
57.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
57.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
57.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
57.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
56.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
56.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
56.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
56.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
56.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
56.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
56.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
56.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
56.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
56.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
55.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
55.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
55.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
55.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
55.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
55.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
55.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
55.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
55.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
54.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
54.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
54.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
54.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
54.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
54.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
53.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
53.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
53.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
53.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
53.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
53.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
53.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
53.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
53.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
53.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
53.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
53.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
53.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
53.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
52.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
52.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
52.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
52.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
52.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
52.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
52.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
52.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
52.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
52.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
52.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
51.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
51.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
51.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
51.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
51.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
51.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
51.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
51.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
51.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
51.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
51.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
51.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
51.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
50.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
50.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
50.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
50.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
50.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
50.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
50.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
50.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
50.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
50.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
49.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
49.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
49.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
49.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
49.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
49.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
49.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
49.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
49.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
49.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
49.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
49.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
48.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
48.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
48.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
48.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
48.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
48.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
48.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
48.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
48.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
47.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
47.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
47.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
47.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
47.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
47.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
47.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
47.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
47.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
46.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
46.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
46.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
46.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
46.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
46.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
45.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
45.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
45.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
45.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
45.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
44.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
44.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
44.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
44.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
44.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
44.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
44.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
44.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
44.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
44.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
44.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
43.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
43.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
43.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
43.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
43.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
43.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
43.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
43.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
42.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
42.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
42.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
42.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
42.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
42.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
41.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
41.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
41.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
41.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
41.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
41.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
40.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
40.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
40.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
40.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
39.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
39.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
39.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
39.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
38.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
38.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
38.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
38.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
38.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
37.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
34.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
34.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
34.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
34.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
34.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
33.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
33.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
33.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
33.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
32.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
29.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
28.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
28.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
27.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
27.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
5.7
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.
MGAT1 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
48.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
121.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
103.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
82.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
80.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
80.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
70.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
70.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
69.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
68.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
67.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
66.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
65.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
63.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
63.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
63.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
63.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
61.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
61.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
60.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
59.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
59.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
58.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
58.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
58.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
57.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
56.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
56.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
54.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
54.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
54.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
54.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
53.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
52.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
52.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
50.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
49.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
48.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
48.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
48.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
48.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
48.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
48.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
47.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
46.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
45.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
45.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
44.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
44.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
44.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
44.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
43.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
43.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
42.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
42.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
41.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
40.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
40.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
40.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
40.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
39.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
39.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
38.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
38.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
38.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
37.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
37.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
36.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
36.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
36.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
35.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
34.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
34.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
34.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
33.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
32.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
31.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
29.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
29.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
28.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
28.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
26.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
25.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
22.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
21.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
19.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
16.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 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.
MGAT1 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
56.7
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
161.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
116.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
114.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
113.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
98.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
98.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
98.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
97.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
92.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
89.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
89.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
88.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
88.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
87.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
87.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
87.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
85.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
85.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
83.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
83.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
82.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
82.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
80.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
80.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
78.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
77.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
77.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
76.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
76.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
75.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
74.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
74.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
74.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
74.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
74.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
73.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
72.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
71.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
71.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
71.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
70.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
70.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
70.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
69.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
69.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
69.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
68.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
68.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
68.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
67.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
67.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
67.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
66.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
66.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
66.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
66.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
65.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
65.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
64.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
64.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
64.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
63.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
63.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
63.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
63.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
62.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
62.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
62.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
62.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
62.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
62.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
61.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
60.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
60.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
60.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
59.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
58.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
57.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
57.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
57.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
57.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
57.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
56.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
56.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
56.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
56.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
55.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
55.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
55.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
55.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
55.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
55.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
54.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
54.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
54.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
54.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
53.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
53.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
53.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
53.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
52.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
52.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
52.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
52.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
52.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
51.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
51.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
51.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
51.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
51.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
51.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
51.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
51.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
50.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
49.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
49.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
49.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
49.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
48.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
48.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
48.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
48.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
48.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
48.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
48.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
48.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
47.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
47.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
47.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
46.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
46.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
46.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
45.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
45.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
45.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
44.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
44.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
44.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
44.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
44.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
44.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
43.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
43.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
43.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
43.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
43.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
43.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
43.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
43.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
43.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
43.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
42.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
42.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
42.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
42.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
41.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
41.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
41.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
40.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
40.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
39.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
38.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
38.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
38.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
38.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
37.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
37.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
37.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
36.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
36.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
36.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
36.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
36.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
36.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
36.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
35.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
35.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
34.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
33.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
33.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
33.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
32.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
32.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
31.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
31.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
26.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
974e136f-7020-4a38-b9c1-094df9_D2
Normal
1.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.8
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
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Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
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Normal
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.3
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Normal
0.3
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Normal
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Normal
0.3
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Tumor
0.3
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
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Normal
-0.3
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Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Normal
-0.4
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Normal
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Normal
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
