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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.
GLUD1 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
61.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
155.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
113.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
111.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
99.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
97.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
97.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
96.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
92.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
90.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
90.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
88.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
88.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
88.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
87.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
87.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
86.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
85.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
85.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
85.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
84.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
83.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
82.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
82.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
81.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
81.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
80.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
79.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
78.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
77.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
77.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
77.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
76.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
76.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
76.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
76.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
76.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
76.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
76.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
75.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
75.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
75.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
75.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
74.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
74.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
74.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
74.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
74.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
74.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
74.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
73.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
73.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
73.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
73.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
73.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
72.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
72.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
72.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
72.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
71.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
71.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
71.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
70.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
70.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
70.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
69.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
69.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
69.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
68.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
68.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
68.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
68.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
67.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
67.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
67.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
67.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
66.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
66.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
66.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
66.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
66.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
66.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
66.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
65.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
65.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
65.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
65.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
65.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
65.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
65.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
64.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
64.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
64.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
64.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
64.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
64.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
64.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
63.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
63.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
63.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
63.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
63.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
63.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
63.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
63.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
63.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
62.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
62.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
62.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
62.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
62.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
62.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
62.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
62.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
62.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
62.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
61.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
61.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
61.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
60.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
60.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
60.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
60.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
60.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
60.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
60.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
60.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
60.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
60.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
60.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
60.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
59.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
59.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
59.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
59.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
59.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
59.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
59.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
59.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
58.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
58.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
58.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
58.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
58.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
58.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
58.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
57.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
57.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
57.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
56.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
56.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
56.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
56.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
56.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
56.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
55.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
55.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
55.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
55.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
55.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
55.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
55.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
55.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
55.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
55.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
54.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
54.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
54.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
54.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
54.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
54.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
54.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
54.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
53.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
53.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
53.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
53.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
53.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
52.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
52.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
52.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
52.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
52.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
52.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
52.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
52.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
51.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
51.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
50.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
50.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
50.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
50.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
49.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
49.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
49.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
49.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
49.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
49.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
49.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
48.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
48.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
48.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
48.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
48.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
48.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
47.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
47.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
47.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
47.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
47.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
47.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
47.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
47.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
46.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
46.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
46.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
46.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
46.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
46.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
45.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
45.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
44.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
44.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
43.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
43.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
43.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
43.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
43.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
43.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
43.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
43.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
42.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
42.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
41.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
41.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
40.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
38.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
38.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
37.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
36.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
36.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
34.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
33.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
32.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
32.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
31.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
31.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
30.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
28.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
28.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
27.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
21.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 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.
GLUD1 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
64.9
Number of samples
486
Samples
Sample
Description
TPM
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
238.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
150.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
115.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
115.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
114.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
114.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
107.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
107.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
105.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
101.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
101.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
101.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
99.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
98.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
98.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
98.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
97.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
96.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
95.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
95.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
93.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
93.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
92.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
91.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
91.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
90.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
90.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
90.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
89.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
89.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
88.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
88.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
88.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
88.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
88.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
87.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
87.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
86.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
86.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
86.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
86.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
86.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
86.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
86.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
85.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
85.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
85.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
85.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
84.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
84.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
84.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
84.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
84.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
84.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
84.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
83.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
83.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
83.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
83.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
83.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
83.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
83.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
83.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
83.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
83.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
83.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
82.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
82.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
82.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
81.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
81.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
81.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
81.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
81.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
81.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
81.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
81.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
81.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
81.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
81.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
80.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
80.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
80.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
80.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
80.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
80.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
80.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
79.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
79.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
79.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
79.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
79.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
79.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
78.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
78.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
78.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
78.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
78.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
78.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
78.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
78.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
77.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
77.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
77.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
77.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
76.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
76.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
76.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
76.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
75.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
75.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
75.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
75.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
75.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
75.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
75.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
75.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
74.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
74.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
74.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
73.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
73.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
73.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
73.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
73.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
72.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
72.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
72.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
72.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
72.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
72.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
72.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
72.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
72.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
72.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
72.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
71.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
71.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
71.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
71.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
71.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
71.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
71.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
71.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
71.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
70.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
70.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
70.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
70.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
70.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
70.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
69.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
69.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
69.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
69.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
69.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
69.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
69.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
69.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
69.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
68.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
68.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
68.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
68.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
68.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
68.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
68.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
68.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
68.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
68.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
68.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
68.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
68.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
67.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
67.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
67.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
67.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
67.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
67.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
67.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
67.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
67.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
67.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
66.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
66.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
66.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
66.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
66.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
66.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
66.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
66.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
66.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
66.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
66.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
66.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
66.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
66.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
66.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
65.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
65.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
65.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
65.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
65.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
65.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
65.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
65.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
65.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
65.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
65.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
65.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
65.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
65.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
65.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
65.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
65.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
65.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
64.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
64.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
64.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
64.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
64.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
64.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
64.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
64.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
64.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
64.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
64.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
64.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
64.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
64.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
64.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
64.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
63.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
63.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
63.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
63.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
63.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
63.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
63.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
63.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
63.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
63.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
63.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
63.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
63.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
63.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
63.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
63.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
63.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
63.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
63.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
62.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
62.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
62.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
62.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
62.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
62.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
62.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
62.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
62.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
62.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
62.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
62.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
62.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
62.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
61.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
61.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
61.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
61.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
61.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
61.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
61.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
61.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
61.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
61.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
61.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
61.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
61.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
61.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
61.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
60.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
60.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
60.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
60.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
60.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
60.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
60.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
60.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
60.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
60.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
60.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
59.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
59.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
59.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
59.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
59.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
59.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
59.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
59.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
59.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
59.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
58.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
58.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
58.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
58.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
58.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
58.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
58.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
58.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
58.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
58.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
58.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
58.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
58.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
58.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
58.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
58.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
58.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
58.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
57.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
57.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
57.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
57.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
57.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
57.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
57.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
57.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
57.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
57.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
57.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
57.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
56.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
56.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
56.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
56.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
56.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
56.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
56.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
56.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
56.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
55.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
55.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
55.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
55.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
55.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
55.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
54.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
54.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
54.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
54.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
54.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
54.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
54.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
54.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
54.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
54.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
54.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
54.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
54.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
54.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
53.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
53.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
53.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
53.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
53.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
53.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
53.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
53.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
53.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
53.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
53.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
52.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
52.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
52.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
52.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
52.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
52.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
52.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
52.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
52.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
52.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
51.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
51.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
51.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
51.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
51.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
51.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
51.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
51.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
51.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
51.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
51.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
50.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
50.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
50.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
50.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
50.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
50.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
50.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
50.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
50.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
50.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
50.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
50.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
50.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
50.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
49.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
49.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
49.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
48.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
48.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
48.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
48.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
48.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
48.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
48.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
48.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
47.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
47.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
47.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
47.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
46.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
46.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
46.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
45.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
45.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
45.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
45.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
44.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
44.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
44.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
44.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
43.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
43.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
43.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
43.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
43.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
42.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
42.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
42.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
42.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
41.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
40.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
40.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
39.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
39.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
37.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
37.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
36.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
36.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
35.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
35.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
26.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
25.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
18.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
10.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
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.
GLUD1 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
60.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
108.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
108.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
91.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
88.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
88.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
88.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
87.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
85.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
85.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
82.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
78.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
77.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
73.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
72.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
72.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
72.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
72.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
72.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
71.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
71.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
70.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
69.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
69.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
68.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
67.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
67.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
67.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
67.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
67.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
67.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
66.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
66.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
65.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
64.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
64.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
64.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
64.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
63.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
63.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
62.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
61.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
61.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
60.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
60.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
60.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
59.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
58.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
58.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
58.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
58.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
58.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
57.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
57.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
54.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
54.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
53.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
53.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
52.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
52.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
51.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
51.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
51.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
49.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
49.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
49.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
49.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
49.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
49.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
49.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
47.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
47.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
46.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
45.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
45.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
45.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
44.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
43.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
42.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
41.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
41.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
39.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
38.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
36.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
35.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
34.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
32.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
20.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GLUD1 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
56.3
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
115.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
99.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
96.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
87.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
84.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
83.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
83.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
80.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
80.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
77.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
77.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
76.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
76.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
76.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
74.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
73.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
73.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
73.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
73.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
72.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
72.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
71.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
71.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
71.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
70.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
70.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
70.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
69.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
69.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
69.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
68.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
68.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
68.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
68.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
67.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
67.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
67.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
67.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
67.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
67.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
67.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
67.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
67.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
67.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
66.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
66.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
65.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
65.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
65.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
65.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
64.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
64.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
64.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
64.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
64.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
64.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
64.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
64.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
63.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
63.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
63.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
63.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
62.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
62.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
62.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
61.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
61.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
61.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
61.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
61.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
61.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
61.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
60.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
60.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
60.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
60.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
60.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
60.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
60.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
59.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
59.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
59.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
59.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
58.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
58.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
58.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
58.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
58.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
58.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
58.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
58.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
57.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
57.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
57.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
56.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
56.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
56.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
56.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
56.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
56.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
56.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
56.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
56.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
55.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
55.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
54.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
54.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
54.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
54.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
54.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
54.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
54.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
54.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
53.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
53.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
53.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
53.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
53.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
53.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
53.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
52.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
52.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
52.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
52.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
51.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
51.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
51.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
51.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
50.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
50.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
50.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
50.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
50.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
50.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
50.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
49.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
49.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
49.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
49.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
49.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
48.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
48.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
48.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
48.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
48.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
47.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
47.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
47.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
47.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
47.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
46.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
46.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
46.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
46.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
46.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
46.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
46.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
45.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
45.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
45.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
45.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
44.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
44.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
44.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
44.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
43.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
42.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
42.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
42.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
42.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
42.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
41.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
41.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
41.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
40.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
40.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
40.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
39.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
39.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
38.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
38.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
38.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
37.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
37.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
36.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
33.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
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Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
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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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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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
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Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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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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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
0.1
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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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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
0.1
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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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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
0.1
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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
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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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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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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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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
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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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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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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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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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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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Tumor
0.0
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Normal
0.0
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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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Tumor
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Normal
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Normal
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Normal
-0.1
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Tumor
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Normal
-0.1
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Normal
-0.1
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Tumor
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Normal
-0.1
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Tumor
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Normal
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Tumor
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Normal
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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
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Tumor
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Tumor
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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
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Tumor
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Tumor
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Tumor
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Normal
-0.2
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Tumor
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Tumor
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Normal
-0.2
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Tumor
-0.2
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Tumor
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Normal
-0.2
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
-0.2
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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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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.9
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
