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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.
GFPT1 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
72.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
213.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
201.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
190.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
187.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
186.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
183.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
177.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
162.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
158.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
144.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
141.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
139.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
138.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
138.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
136.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
133.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
132.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
131.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
127.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
126.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
126.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
125.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
124.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
124.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
122.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
121.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
119.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
114.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
114.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
114.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
113.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
112.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
110.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
109.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
109.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
108.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
108.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
106.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
105.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
105.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
102.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
102.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
101.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
101.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
100.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
99.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
99.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
99.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
98.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
97.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
97.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
96.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
96.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
96.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
95.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
94.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
92.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
91.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
91.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
91.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
90.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
90.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
89.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
89.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
88.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
87.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
87.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
87.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
86.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
86.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
86.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
85.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
84.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
84.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
82.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
82.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
82.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
82.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
81.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
80.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
80.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
80.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
79.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
78.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
77.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
77.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
77.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
77.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
76.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
76.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
75.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
75.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
75.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
75.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
74.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
74.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
74.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
73.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
73.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
73.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
73.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
73.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
72.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
72.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
72.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
72.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
72.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
71.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
71.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
70.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
70.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
68.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
68.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
68.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
67.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
67.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
67.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
67.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
66.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
66.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
66.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
66.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
66.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
65.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
65.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
65.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
64.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
64.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
64.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
64.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
64.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
64.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
64.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
63.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
63.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
62.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
62.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
62.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
62.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
61.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
61.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
60.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
60.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
60.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
60.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
60.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
60.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
59.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
58.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
57.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
57.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
57.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
56.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
56.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
56.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
55.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
55.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
55.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
55.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
55.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
55.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
55.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
55.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
54.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
53.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
53.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
53.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
53.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
53.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
53.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
52.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
52.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
52.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
50.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
50.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
50.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
50.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
50.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
50.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
50.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
49.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
48.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
48.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
48.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
48.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
47.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
47.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
47.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
47.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
47.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
47.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
47.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
47.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
46.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
46.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
46.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
45.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
45.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
44.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
44.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
44.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
43.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
43.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
43.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
43.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
42.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
41.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
41.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
41.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
41.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
39.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
39.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
39.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
39.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
38.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
38.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
36.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
36.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
36.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
36.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
36.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
35.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
35.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
35.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
35.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
35.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
35.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
34.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
34.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
33.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
33.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
32.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
32.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
32.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
32.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
31.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
31.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
29.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
29.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
29.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
29.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
27.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
26.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
24.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
24.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
22.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
20.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 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.
GFPT1 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
129.7
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
464.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
372.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
338.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
311.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
277.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
274.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
265.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
257.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
257.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
256.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
255.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
248.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
245.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
242.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
240.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
236.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
234.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
231.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
231.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
227.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
227.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
225.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
224.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
224.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
224.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
223.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
221.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
220.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
220.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
220.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
217.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
217.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
217.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
213.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
210.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
208.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
206.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
206.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
205.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
204.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
203.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
202.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
201.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
199.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
199.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
196.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
195.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
195.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
195.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
195.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
194.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
193.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
191.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
191.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
191.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
191.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
190.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
189.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
189.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
188.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
187.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
187.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
186.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
186.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
186.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
185.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
184.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
184.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
182.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
181.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
180.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
179.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
179.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
178.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
178.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
178.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
178.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
177.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
176.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
175.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
174.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
174.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
174.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
173.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
173.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
172.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
170.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
170.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
170.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
170.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
170.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
169.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
169.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
168.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
168.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
167.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
166.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
166.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
166.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
165.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
165.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
164.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
164.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
163.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
163.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
163.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
162.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
161.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
160.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
160.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
160.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
159.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
158.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
158.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
157.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
157.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
157.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
157.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
157.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
156.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
156.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
156.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
155.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
155.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
155.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
155.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
154.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
154.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
154.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
153.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
153.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
152.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
152.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
152.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
152.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
152.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
152.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
151.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
150.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
150.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
150.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
150.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
149.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
149.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
149.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
149.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
149.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
147.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
147.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
147.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
147.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
147.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
147.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
146.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
146.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
145.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
144.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
144.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
144.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
144.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
144.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
143.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
143.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
143.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
142.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
141.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
141.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
141.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
141.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
140.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
140.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
140.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
140.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
139.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
139.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
139.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
139.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
138.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
137.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
137.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
137.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
137.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
136.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
136.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
136.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
136.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
135.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
135.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
135.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
135.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
135.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
134.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
134.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
134.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
134.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
133.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
133.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
133.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
132.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
132.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
132.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
132.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
132.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
132.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
131.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
131.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
131.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
130.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
130.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
130.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
129.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
129.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
129.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
129.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
129.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
129.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
128.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
128.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
128.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
127.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
127.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
126.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
126.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
126.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
126.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
126.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
125.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
125.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
124.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
124.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
124.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
123.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
123.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
123.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
123.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
122.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
122.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
121.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
121.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
121.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
121.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
121.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
120.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
120.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
120.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
120.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
120.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
120.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
120.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
120.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
120.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
120.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
119.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
119.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
119.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
119.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
119.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
119.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
119.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
118.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
118.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
117.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
117.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
116.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
116.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
116.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
116.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
116.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
116.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
116.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
116.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
115.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
115.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
115.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
115.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
114.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
114.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
114.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
114.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
113.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
113.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
113.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
112.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
112.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
112.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
112.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
112.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
112.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
111.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
111.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
111.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
111.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
110.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
110.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
110.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
110.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
109.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
109.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
109.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
108.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
108.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
107.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
107.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
107.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
107.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
107.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
106.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
106.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
106.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
106.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
105.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
105.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
105.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
105.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
104.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
104.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
104.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
104.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
104.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
104.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
104.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
104.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
104.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
104.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
104.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
104.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
103.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
103.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
103.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
103.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
103.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
102.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
101.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
101.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
101.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
101.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
101.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
101.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
100.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
100.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
100.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
100.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
100.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
97.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
97.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
97.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
97.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
97.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
97.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
96.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
96.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
95.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
95.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
95.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
95.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
95.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
95.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
95.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
95.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
94.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
94.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
94.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
94.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
94.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
93.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
91.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
91.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
91.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
91.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
90.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
90.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
90.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
90.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
90.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
90.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
90.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
89.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
89.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
89.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
88.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
88.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
88.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
88.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
87.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
87.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
86.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
86.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
85.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
85.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
85.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
85.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
84.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
84.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
84.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
84.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
84.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
83.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
83.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
83.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
83.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
83.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
83.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
83.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
83.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
83.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
82.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
82.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
82.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
82.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
81.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
81.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
81.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
81.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
80.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
80.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
80.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
80.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
79.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
78.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
78.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
78.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
78.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
78.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
78.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
78.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
77.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
77.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
77.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
77.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
76.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
76.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
75.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
75.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
75.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
75.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
74.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
74.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
74.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
74.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
74.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
73.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
73.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
73.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
73.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
72.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
72.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
72.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
71.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
70.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
68.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
68.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
68.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
67.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
67.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
67.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
67.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
66.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
66.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
66.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
64.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
64.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
64.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
63.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
63.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
61.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
60.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
59.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
59.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
58.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
58.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
57.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
57.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
55.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
54.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
53.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
53.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
50.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
48.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
45.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
41.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
38.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
30.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GFPT1 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
73.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
193.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
178.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
172.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
165.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
146.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
142.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
126.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
123.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
123.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
121.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
120.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
119.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
114.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
109.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
104.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
100.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
100.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
99.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
98.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
94.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
94.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
92.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
92.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
90.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
89.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
88.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
88.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
86.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
80.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
79.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
78.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
77.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
75.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
75.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
74.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
70.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
69.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
69.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
68.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
68.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
67.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
66.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
64.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
63.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
63.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
62.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
62.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
62.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
62.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
60.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
60.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
60.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
59.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
59.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
59.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
58.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
58.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
57.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
56.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
56.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
53.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
52.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
51.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
51.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
50.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
49.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
49.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
49.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
48.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
46.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
44.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
43.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
43.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
41.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
40.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
38.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
35.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
34.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
33.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
32.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
27.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
26.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
24.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
20.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
15.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.0
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.
GFPT1 is potential prognostic, high expression is unfavorable 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
121.1
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
346.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
282.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
278.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
272.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
252.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
246.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
241.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
237.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
232.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
227.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
227.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
227.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
211.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
204.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
194.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
189.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
186.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
182.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
181.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
180.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
180.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
179.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
179.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
178.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
177.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
176.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
175.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
173.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
170.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
169.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
169.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
168.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
167.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
166.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
164.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
162.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
160.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
159.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
157.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
153.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
151.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
150.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
150.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
150.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
149.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
149.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
149.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
149.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
148.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
147.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
147.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
147.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
147.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
146.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
145.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
145.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
143.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
142.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
142.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
142.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
141.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
139.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
139.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
139.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
135.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
135.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
132.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
131.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
131.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
131.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
131.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
129.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
128.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
127.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
127.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
126.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
126.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
125.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
124.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
123.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
123.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
121.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
120.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
119.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
119.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
119.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
119.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
118.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
118.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
117.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
117.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
115.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
115.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
115.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
115.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
115.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
114.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
114.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
113.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
113.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
113.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
111.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
111.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
111.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
111.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
110.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
110.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
109.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
109.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
109.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
108.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
108.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
107.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
107.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
106.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
106.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
106.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
106.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
106.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
105.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
105.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
105.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
105.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
104.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
104.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
104.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
103.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
103.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
103.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
103.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
103.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
103.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
103.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
101.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
101.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
101.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
101.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
100.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
99.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
98.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
96.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
94.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
94.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
94.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
92.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
92.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
92.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
91.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
90.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
90.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
90.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
89.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
88.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
87.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
86.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
86.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
85.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
85.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
85.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
84.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
83.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
82.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
82.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
81.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
79.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
79.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
79.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
78.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
77.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
77.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
77.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
77.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
77.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
76.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
76.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
75.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
75.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
74.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
74.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
74.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
74.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
72.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
72.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
72.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
72.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
71.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
70.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
67.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
67.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
66.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
65.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
63.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
62.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
61.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
60.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
58.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
54.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
51.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
50.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
49.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
46.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
45.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
45.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
43.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
28.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.5
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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
1.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
1.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.9
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.7
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.3
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.
The Human Protein Atlas project is funded
