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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.
GLO1 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
88.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
247.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
188.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
177.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
166.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
161.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
157.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
156.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
156.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
154.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
154.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
153.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
150.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
150.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
148.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
141.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
140.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
139.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
136.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
136.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
135.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
134.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
133.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
130.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
129.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
129.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
129.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
129.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
128.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
127.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
127.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
127.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
126.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
125.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
123.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
122.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
122.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
120.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
120.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
117.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
117.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
117.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
116.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
116.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
116.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
115.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
115.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
115.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
114.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
114.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
114.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
113.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
112.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
111.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
110.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
110.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
110.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
107.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
107.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
107.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
105.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
105.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
105.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
105.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
105.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
104.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
103.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
103.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
102.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
102.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
102.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
102.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
101.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
101.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
101.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
101.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
101.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
100.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
100.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
100.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
100.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
99.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
99.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
99.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
99.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
98.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
98.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
98.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
98.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
97.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
97.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
97.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
96.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
96.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
95.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
95.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
95.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
95.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
94.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
94.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
94.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
93.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
93.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
92.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
92.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
92.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
91.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
91.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
91.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
91.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
90.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
90.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
90.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
89.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
89.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
89.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
88.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
88.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
87.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
87.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
87.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
86.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
86.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
85.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
85.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
85.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
85.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
85.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
84.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
84.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
84.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
84.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
84.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
83.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
83.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
82.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
82.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
81.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
81.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
81.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
80.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
79.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
79.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
79.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
79.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
79.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
79.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
79.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
79.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
78.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
78.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
78.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
77.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
77.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
76.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
76.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
75.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
75.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
75.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
75.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
75.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
74.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
74.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
74.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
74.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
73.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
73.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
72.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
72.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
71.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
71.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
71.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
71.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
71.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
71.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
70.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
70.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
70.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
70.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
70.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
70.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
70.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
69.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
68.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
68.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
67.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
67.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
67.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
67.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
66.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
66.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
66.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
66.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
66.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
65.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
65.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
63.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
63.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
63.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
63.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
63.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
62.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
62.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
62.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
62.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
61.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
61.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
61.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
60.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
60.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
60.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
59.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
59.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
58.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
57.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
57.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
57.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
56.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
56.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
55.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
55.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
55.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
54.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
54.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
54.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
53.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
53.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
53.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
53.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
52.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
52.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
51.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
50.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
50.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
50.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
49.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
48.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
48.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
47.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
46.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
45.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
44.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
44.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
44.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
44.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
44.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
43.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
42.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
41.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
41.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
41.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
39.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
37.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
36.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
GLO1 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
70.0
Number of samples
486
Samples
Sample
Description
TPM
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
525.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
225.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
168.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
155.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
153.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
142.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
142.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
138.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
137.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
133.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
130.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
126.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
125.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
125.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
125.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
124.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
121.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
120.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
120.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
119.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
116.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
115.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
115.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
112.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
111.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
111.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
111.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
110.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
110.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
109.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
109.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
108.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
108.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
106.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
106.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
106.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
106.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
104.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
104.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
104.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
103.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
103.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
103.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
101.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
100.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
99.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
98.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
98.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
98.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
98.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
98.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
98.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
97.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
97.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
96.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
96.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
96.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
96.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
95.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
94.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
94.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
94.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
94.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
94.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
93.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
93.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
92.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
92.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
92.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
91.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
91.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
91.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
91.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
90.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
90.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
90.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
90.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
89.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
89.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
89.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
89.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
89.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
88.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
88.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
88.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
88.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
88.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
87.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
87.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
87.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
87.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
87.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
86.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
86.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
86.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
86.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
85.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
85.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
85.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
85.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
85.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
85.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
85.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
85.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
84.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
84.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
84.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
83.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
83.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
83.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
83.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
82.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
82.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
82.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
81.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
81.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
81.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
81.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
81.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
81.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
81.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
80.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
80.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
80.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
80.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
80.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
79.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
79.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
79.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
79.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
79.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
79.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
79.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
78.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
78.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
78.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
78.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
78.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
78.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
78.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
78.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
78.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
78.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
77.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
77.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
77.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
77.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
77.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
77.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
77.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
76.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
76.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
76.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
76.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
76.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
76.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
76.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
76.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
76.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
76.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
75.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
75.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
75.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
75.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
75.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
75.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
74.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
74.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
74.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
74.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
73.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
73.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
73.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
73.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
73.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
73.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
73.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
73.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
73.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
73.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
73.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
73.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
72.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
72.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
72.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
72.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
72.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
72.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
72.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
71.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
71.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
71.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
71.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
71.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
71.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
71.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
70.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
70.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
70.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
70.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
70.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
70.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
69.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
69.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
69.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
69.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
69.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
69.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
69.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
69.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
69.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
69.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
68.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
68.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
68.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
68.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
68.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
68.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
68.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
67.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
67.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
67.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
67.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
67.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
67.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
67.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
67.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
67.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
66.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
66.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
66.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
66.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
66.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
66.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
65.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
65.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
65.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
65.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
65.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
65.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
64.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
64.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
64.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
64.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
64.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
64.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
64.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
64.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
64.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
64.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
63.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
63.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
63.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
63.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
63.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
63.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
63.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
63.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
63.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
62.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
62.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
62.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
62.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
62.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
62.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
62.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
61.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
61.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
61.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
61.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
61.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
61.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
61.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
61.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
60.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
60.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
60.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
60.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
60.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
60.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
60.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
60.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
60.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
60.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
60.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
60.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
60.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
60.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
59.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
59.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
59.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
59.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
59.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
59.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
59.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
59.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
59.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
59.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
59.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
59.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
59.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
59.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
59.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
58.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
58.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
58.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
58.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
58.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
58.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
58.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
58.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
57.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
57.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
57.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
57.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
57.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
57.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
57.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
57.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
57.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
57.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
57.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
57.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
57.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
57.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
56.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
56.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
56.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
56.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
56.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
56.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
56.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
56.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
56.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
56.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
56.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
55.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
55.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
55.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
55.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
55.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
55.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
54.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
54.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
54.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
54.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
54.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
54.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
54.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
53.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
53.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
53.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
53.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
53.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
53.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
53.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
53.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
53.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
53.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
53.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
53.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
53.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
52.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
52.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
52.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
52.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
52.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
52.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
52.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
52.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
51.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
51.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
51.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
51.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
51.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
51.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
51.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
51.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
50.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
50.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
50.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
50.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
50.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
50.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
49.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
49.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
49.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
49.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
49.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
48.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
48.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
48.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
48.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
48.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
48.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
48.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
48.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
48.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
48.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
48.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
48.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
48.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
47.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
47.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
47.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
47.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
47.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
47.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
47.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
47.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
46.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
46.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
46.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
46.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
46.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
46.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
46.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
46.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
46.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
45.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
45.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
45.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
45.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
44.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
44.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
44.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
44.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
44.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
44.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
44.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
44.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
44.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
43.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
43.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
43.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
43.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
43.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
43.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
43.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
42.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
42.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
42.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
41.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
41.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
41.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
40.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
40.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
40.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
40.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
39.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
39.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
38.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
38.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
38.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
38.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
37.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
35.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
34.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
33.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
33.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
33.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
32.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
27.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.8
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.
GLO1 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
96.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
254.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
177.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
174.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
171.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
168.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
167.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
158.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
147.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
147.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
142.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
141.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
141.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
139.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
136.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
133.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
131.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
131.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
131.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
129.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
128.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
127.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
126.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
125.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
119.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
118.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
118.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
112.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
106.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
104.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
104.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
104.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
104.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
100.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
100.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
99.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
99.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
98.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
97.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
97.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
97.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
97.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
96.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
94.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
92.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
89.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
88.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
86.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
86.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
85.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
85.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
84.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
81.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
81.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
81.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
81.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
79.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
79.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
78.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
77.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
76.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
72.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
71.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
71.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
70.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
69.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
67.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
67.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
64.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
64.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
63.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
63.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
62.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
62.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
60.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
59.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
57.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
57.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
57.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
52.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
50.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
50.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
50.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
44.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
40.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
37.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
31.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
16.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GLO1 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
62.9
Number of samples
207
Samples
Sample
Description
TPM
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
135.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
131.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
116.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
113.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
112.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
112.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
108.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
104.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
102.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
102.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
101.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
99.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
98.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
96.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
96.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
96.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
92.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
91.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
90.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
90.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
89.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
88.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
88.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
87.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
85.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
85.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
85.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
85.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
84.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
84.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
82.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
81.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
81.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
81.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
81.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
81.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
80.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
80.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
80.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
80.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
79.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
79.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
79.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
79.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
77.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
75.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
75.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
74.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
74.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
74.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
74.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
74.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
73.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
73.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
72.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
72.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
72.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
72.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
72.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
72.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
72.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
71.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
71.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
71.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
71.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
70.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
70.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
70.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
70.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
70.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
70.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
70.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
69.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
69.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
69.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
68.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
68.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
68.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
67.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
67.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
66.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
66.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
66.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
66.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
65.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
65.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
65.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
65.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
64.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
63.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
63.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
61.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
61.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
61.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
61.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
61.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
60.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
60.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
60.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
60.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
59.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
59.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
59.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
58.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
58.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
58.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
58.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
58.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
58.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
58.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
57.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
57.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
57.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
57.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
57.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
56.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
56.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
56.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
56.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
55.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
55.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
55.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
55.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
55.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
55.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
54.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
54.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
54.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
54.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
53.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
53.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
53.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
53.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
53.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
53.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
53.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
53.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
52.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
52.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
52.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
52.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
51.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
51.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
51.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
51.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
51.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
50.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
50.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
50.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
50.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
50.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
50.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
49.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
49.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
48.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
47.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
47.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
46.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
45.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
45.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
45.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
45.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
45.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
44.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
44.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
44.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
44.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
43.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
43.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
43.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
42.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
41.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
41.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
40.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
40.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
39.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
39.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
39.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
39.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
38.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
36.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
36.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
36.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
35.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
34.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
32.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
29.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
28.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
28.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
1.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.0
82157a70-12f1-4913-b548-d98881_D2
Normal
1.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.9
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.8
b2400046-1d25-429d-a821-6040a6
Tumor
0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.7
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.7
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.7
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.7
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.9
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.9
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.9
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.9
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.9
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.9
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.9
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-1.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-1.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.9
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-2.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-2.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-2.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-2.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.