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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.
G6PC3 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
66.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
154.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
149.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
141.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
139.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
132.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
131.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
124.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
121.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
115.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
114.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
113.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
109.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
109.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
109.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
107.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
107.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
105.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
105.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
104.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
103.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
102.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
97.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
96.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
96.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
95.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
94.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
94.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
94.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
93.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
93.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
90.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
90.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
90.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
89.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
88.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
87.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
87.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
87.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
86.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
85.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
85.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
85.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
85.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
85.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
84.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
84.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
84.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
84.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
84.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
82.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
82.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
82.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
82.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
82.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
81.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
81.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
81.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
80.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
80.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
80.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
80.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
79.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
79.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
79.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
78.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
78.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
78.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
77.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
77.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
77.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
76.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
76.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
76.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
76.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
76.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
75.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
75.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
75.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
74.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
74.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
73.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
73.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
73.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
73.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
73.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
73.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
72.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
72.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
72.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
72.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
71.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
71.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
71.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
71.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
71.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
70.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
70.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
70.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
69.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
69.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
69.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
69.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
68.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
68.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
67.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
67.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
67.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
67.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
67.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
67.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
67.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
67.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
66.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
66.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
66.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
66.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
66.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
66.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
66.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
66.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
65.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
65.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
65.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
65.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
65.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
65.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
65.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
65.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
65.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
65.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
65.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
65.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
65.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
64.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
64.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
64.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
64.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
64.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
63.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
63.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
63.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
63.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
63.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
63.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
63.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
62.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
62.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
62.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
62.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
62.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
62.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
61.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
61.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
60.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
60.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
60.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
59.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
59.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
59.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
59.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
58.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
58.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
57.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
57.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
57.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
56.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
56.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
55.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
55.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
55.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
55.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
54.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
54.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
54.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
54.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
53.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
53.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
53.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
53.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
52.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
52.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
51.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
51.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
51.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
51.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
51.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
51.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
51.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
51.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
50.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
50.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
50.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
49.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
49.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
49.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
49.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
48.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
48.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
47.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
47.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
47.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
46.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
46.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
46.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
46.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
45.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
45.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
45.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
45.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
45.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
44.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
44.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
44.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
43.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
43.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
42.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
42.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
42.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
42.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
42.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
42.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
41.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
40.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
40.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
40.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
39.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
39.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
39.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
39.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
39.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
39.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
38.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
38.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
38.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
37.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
37.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
34.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
32.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
32.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
32.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
30.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
30.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
30.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
29.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
25.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
16.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
15.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
13.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
9.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
9.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
G6PC3 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
44.3
Number of samples
486
Samples
Sample
Description
TPM
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
100.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
95.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
85.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
83.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
82.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
82.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
81.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
81.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
79.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
78.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
77.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
74.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
74.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
73.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
72.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
72.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
72.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
71.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
71.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
70.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
70.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
70.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
69.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
69.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
69.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
68.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
68.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
68.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
68.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
67.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
67.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
67.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
66.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
66.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
66.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
65.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
65.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
65.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
65.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
65.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
64.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
64.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
64.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
63.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
63.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
62.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
62.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
62.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
62.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
62.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
62.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
62.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
62.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
61.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
61.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
60.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
60.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
60.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
59.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
59.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
59.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
59.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
59.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
59.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
59.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
58.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
58.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
58.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
58.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
58.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
58.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
58.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
58.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
58.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
57.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
57.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
57.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
57.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
57.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
57.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
57.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
57.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
56.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
56.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
56.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
56.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
56.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
55.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
55.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
55.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
55.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
55.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
55.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
55.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
54.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
54.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
54.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
54.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
54.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
54.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
54.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
54.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
54.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
53.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
53.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
52.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
52.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
52.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
52.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
52.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
52.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
52.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
52.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
51.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
51.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
51.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
51.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
51.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
51.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
51.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
51.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
51.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
50.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
50.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
50.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
50.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
50.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
50.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
50.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
49.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
49.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
49.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
49.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
49.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
49.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
49.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
49.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
49.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
49.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
49.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
49.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
49.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
49.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
49.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
48.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
48.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
48.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
48.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
48.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
48.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
48.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
48.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
48.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
48.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
47.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
47.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
47.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
47.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
47.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
47.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
47.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
47.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
47.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
47.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
47.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
47.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
47.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
47.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
46.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
46.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
46.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
46.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
46.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
46.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
46.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
46.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
46.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
46.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
46.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
46.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
46.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
46.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
46.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
45.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
45.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
45.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
45.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
45.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
45.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
45.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
45.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
45.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
45.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
45.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
44.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
44.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
44.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
44.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
44.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
44.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
44.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
44.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
43.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
43.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
43.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
43.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
43.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
43.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
43.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
43.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
43.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
43.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
43.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
43.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
43.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
43.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
43.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
43.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
42.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
42.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
42.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
42.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
42.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
42.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
42.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
42.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
42.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
42.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
42.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
42.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
41.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
41.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
41.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
41.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
41.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
40.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
40.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
40.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
40.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
40.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
40.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
40.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
40.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
40.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
40.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
40.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
40.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
40.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
40.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
40.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
40.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
40.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
40.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
40.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
40.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
40.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
40.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
39.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
39.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
39.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
39.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
39.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
39.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
39.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
39.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
39.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
39.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
39.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
39.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
39.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
38.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
38.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
38.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
38.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
38.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
38.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
38.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
38.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
38.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
38.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
38.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
38.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
38.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
38.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
38.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
38.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
38.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
38.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
37.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
37.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
37.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
37.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
37.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
37.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
37.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
37.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
37.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
37.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
37.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
37.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
37.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
37.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
37.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
37.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
36.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
36.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
36.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
36.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
36.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
36.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
36.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
36.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
36.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
35.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
35.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
35.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
35.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
35.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
35.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
35.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
35.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
35.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
35.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
35.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
34.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
34.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
34.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
34.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
34.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
34.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
34.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
34.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
34.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
34.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
34.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
34.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
34.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
34.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
33.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
33.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
33.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
33.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
33.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
33.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
33.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
33.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
33.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
33.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
33.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
33.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
33.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
32.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
32.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
32.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
32.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
32.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
32.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
32.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
32.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
32.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
32.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
31.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
31.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
31.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
31.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
31.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
31.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
31.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
31.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
31.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
31.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
31.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
30.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
30.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
30.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
30.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
30.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
30.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
30.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
30.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
30.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
30.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
30.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
29.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
29.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
29.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
28.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
28.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
28.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
28.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
28.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
28.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
28.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
28.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
28.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
28.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
27.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
27.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
27.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
27.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
27.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
27.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
27.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
27.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
26.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
26.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
26.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
25.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
25.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
25.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
25.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
25.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
24.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
23.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
23.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
23.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
23.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
22.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
22.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
21.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
21.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
21.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
21.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
17.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
11.8
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.
G6PC3 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
65.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
147.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
146.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
140.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
111.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
109.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
107.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
105.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
104.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
97.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
95.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
94.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
91.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
91.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
89.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
87.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
86.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
86.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
85.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
84.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
83.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
82.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
82.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
79.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
77.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
77.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
76.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
76.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
73.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
72.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
71.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
71.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
70.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
69.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
69.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
66.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
65.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
64.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
63.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
63.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
62.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
62.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
61.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
61.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
60.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
57.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
56.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
56.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
56.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
56.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
55.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
55.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
55.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
54.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
53.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
53.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
53.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
52.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
51.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
50.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
50.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
50.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
50.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
50.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
48.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
48.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
47.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
46.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
45.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
45.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
44.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
44.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
43.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
42.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
42.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
41.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
40.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
40.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
38.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
38.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
37.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
36.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
35.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
34.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
33.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
32.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
31.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
30.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 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.
G6PC3 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
39.1
Number of samples
207
Samples
Sample
Description
TPM
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
77.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
77.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
73.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
70.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
69.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
66.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
63.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
63.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
61.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
59.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
57.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
57.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
57.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
55.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
55.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
55.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
55.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
54.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
53.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
53.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
53.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
53.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
53.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
53.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
52.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
52.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
52.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
52.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
50.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
49.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
49.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
49.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
49.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
48.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
48.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
48.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
47.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
47.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
47.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
47.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
46.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
46.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
45.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
45.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
45.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
45.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
44.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
44.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
44.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
44.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
44.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
44.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
44.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
44.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
43.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
43.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
43.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
43.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
43.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
43.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
43.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
43.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
43.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
42.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
42.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
41.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
41.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
41.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
41.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
41.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
40.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
40.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
40.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
40.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
40.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
39.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
39.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
39.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
39.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
39.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
39.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
39.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
38.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
38.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
38.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
38.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
38.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
38.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
38.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
38.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
38.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
37.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
37.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
37.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
37.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
36.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
36.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
36.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
36.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
36.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
35.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
35.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
35.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
35.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
35.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
35.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
34.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
34.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
34.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
34.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
34.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
34.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
33.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
33.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
33.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
33.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
32.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
32.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
32.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
32.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
31.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
31.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
31.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
31.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
31.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
31.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
31.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
30.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
30.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
30.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
30.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
29.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
29.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
29.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
29.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
29.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
29.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
29.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
28.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
28.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
28.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
28.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
27.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
27.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
27.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
26.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
26.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
26.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
25.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
25.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
24.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
24.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
23.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
23.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
21.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
21.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
21.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
20.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
19.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
19.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
18.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
16.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
2.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
1.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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.