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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.
TBRG4 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
76.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
275.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
198.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
147.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
136.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
134.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
132.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
130.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
126.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
126.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
123.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
122.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
121.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
121.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
117.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
116.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
115.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
113.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
112.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
112.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
111.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
111.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
110.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
109.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
109.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
108.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
108.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
108.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
108.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
107.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
107.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
107.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
106.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
105.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
105.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
105.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
103.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
103.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
101.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
101.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
100.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
99.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
98.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
97.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
96.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
96.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
96.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
95.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
95.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
95.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
94.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
94.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
93.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
93.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
90.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
90.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
90.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
90.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
90.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
90.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
89.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
89.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
89.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
89.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
89.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
89.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
88.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
88.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
88.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
88.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
87.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
87.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
87.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
87.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
87.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
87.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
86.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
86.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
85.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
85.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
85.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
84.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
84.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
84.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
84.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
84.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
84.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
84.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
84.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
83.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
83.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
83.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
83.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
83.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
83.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
82.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
82.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
81.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
81.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
81.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
81.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
80.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
80.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
80.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
79.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
79.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
78.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
78.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
78.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
78.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
78.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
78.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
78.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
78.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
78.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
77.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
76.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
76.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
76.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
76.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
76.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
76.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
76.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
76.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
76.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
75.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
75.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
75.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
74.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
74.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
74.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
74.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
73.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
73.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
72.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
72.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
71.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
71.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
71.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
71.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
70.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
70.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
70.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
70.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
69.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
69.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
69.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
69.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
68.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
68.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
68.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
68.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
68.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
67.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
67.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
67.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
67.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
66.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
66.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
66.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
66.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
65.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
65.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
65.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
65.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
64.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
64.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
64.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
64.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
63.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
63.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
63.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
63.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
63.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
62.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
62.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
62.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
61.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
61.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
61.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
61.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
61.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
61.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
60.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
60.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
60.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
60.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
60.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
60.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
59.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
59.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
59.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
58.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
58.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
57.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
57.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
57.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
57.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
57.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
57.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
57.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
56.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
56.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
55.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
55.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
55.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
55.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
54.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
53.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
53.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
53.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
53.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
52.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
52.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
52.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
52.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
52.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
52.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
51.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
51.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
51.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
51.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
50.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
50.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
49.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
49.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
49.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
49.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
49.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
48.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
48.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
48.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
47.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
47.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
46.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
45.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
45.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
44.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
44.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
44.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
42.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
41.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
41.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
41.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
40.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
38.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
37.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
35.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
33.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
31.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
31.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
30.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
26.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
24.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 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.
TBRG4 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
50.5
Number of samples
486
Samples
Sample
Description
TPM
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
133.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
110.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
106.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
103.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
102.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
101.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
99.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
96.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
94.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
93.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
92.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
92.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
90.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
90.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
89.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
88.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
86.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
86.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
85.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
84.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
84.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
83.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
82.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
81.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
81.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
80.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
80.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
79.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
78.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
78.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
77.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
76.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
75.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
75.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
74.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
74.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
74.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
74.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
74.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
73.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
73.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
73.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
72.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
72.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
72.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
71.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
71.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
70.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
70.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
70.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
70.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
70.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
70.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
69.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
69.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
69.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
69.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
68.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
68.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
67.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
67.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
67.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
67.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
67.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
67.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
67.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
67.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
67.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
66.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
66.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
66.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
66.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
66.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
65.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
65.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
65.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
65.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
65.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
65.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
65.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
65.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
65.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
65.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
65.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
65.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
65.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
64.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
64.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
64.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
64.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
64.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
64.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
64.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
63.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
63.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
63.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
63.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
63.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
63.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
63.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
63.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
63.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
63.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
62.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
62.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
62.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
62.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
62.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
62.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
62.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
61.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
61.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
61.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
61.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
61.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
61.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
61.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
60.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
60.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
60.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
60.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
60.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
60.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
60.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
60.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
60.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
60.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
60.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
60.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
59.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
59.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
59.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
59.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
59.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
58.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
58.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
58.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
58.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
58.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
58.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
57.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
57.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
57.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
57.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
57.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
57.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
57.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
57.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
57.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
57.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
56.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
56.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
56.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
56.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
56.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
56.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
56.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
56.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
56.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
56.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
56.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
55.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
55.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
55.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
55.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
55.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
55.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
55.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
55.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
55.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
55.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
55.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
55.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
55.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
55.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
54.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
54.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
54.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
54.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
54.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
54.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
54.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
54.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
54.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
54.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
54.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
54.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
53.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
53.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
53.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
53.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
53.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
53.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
53.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
53.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
52.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
52.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
52.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
52.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
52.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
52.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
52.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
52.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
52.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
51.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
51.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
51.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
51.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
51.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
51.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
51.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
51.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
51.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
50.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
50.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
50.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
50.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
50.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
49.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
49.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
49.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
49.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
49.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
49.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
49.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
49.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
49.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
49.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
49.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
48.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
48.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
48.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
48.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
48.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
48.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
48.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
48.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
48.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
48.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
47.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
47.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
47.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
47.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
47.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
47.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
47.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
47.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
47.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
47.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
47.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
46.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
46.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
46.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
46.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
46.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
46.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
46.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
46.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
46.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
46.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
46.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
46.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
46.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
46.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
45.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
45.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
45.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
45.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
45.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
45.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
45.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
45.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
45.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
45.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
44.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
44.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
44.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
44.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
44.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
44.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
43.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
43.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
43.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
43.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
43.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
43.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
43.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
43.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
42.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
42.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
42.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
42.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
42.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
42.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
42.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
42.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
42.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
42.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
41.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
41.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
41.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
41.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
41.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
41.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
41.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
40.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
40.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
40.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
40.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
40.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
40.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
40.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
40.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
40.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
40.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
40.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
40.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
40.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
40.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
40.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
39.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
39.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
39.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
39.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
39.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
39.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
38.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
38.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
38.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
38.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
38.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
38.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
38.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
38.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
38.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
38.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
38.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
38.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
38.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
38.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
38.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
37.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
37.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
37.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
37.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
37.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
37.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
37.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
37.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
37.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
37.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
37.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
36.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
36.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
36.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
36.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
36.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
36.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
36.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
36.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
36.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
36.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
36.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
35.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
35.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
35.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
34.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
34.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
34.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
34.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
34.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
33.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
33.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
33.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
33.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
33.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
33.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
33.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
32.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
32.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
32.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
32.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
32.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
32.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
31.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
31.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
31.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
31.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
31.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
31.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
31.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
31.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
31.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
31.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
30.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
30.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
30.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
30.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
30.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
29.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
29.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
29.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
29.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
29.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
29.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
29.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
29.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
29.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
28.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
28.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
28.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
27.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
27.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
27.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
26.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
26.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
25.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
25.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
25.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
24.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
23.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
23.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
23.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
22.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
22.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
22.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
19.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
TBRG4 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
72.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
144.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
124.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
122.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
121.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
115.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
112.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
111.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
110.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
105.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
104.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
100.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
98.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
94.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
92.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
92.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
92.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
89.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
89.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
89.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
88.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
86.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
86.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
85.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
82.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
82.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
81.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
81.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
80.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
80.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
80.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
79.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
79.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
78.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
77.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
76.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
75.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
75.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
74.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
72.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
71.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
70.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
70.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
68.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
68.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
68.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
67.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
66.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
66.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
66.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
66.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
65.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
65.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
64.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
63.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
61.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
60.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
59.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
59.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
59.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
58.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
58.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
57.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
57.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
56.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
55.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
55.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
55.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
55.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
54.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
54.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
53.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
52.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
51.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
51.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
51.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
50.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
49.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
47.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
47.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
44.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
43.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
43.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
40.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
39.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
38.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
36.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 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.
TBRG4 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
46.0
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
122.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
95.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
93.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
84.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
73.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
73.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
73.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
70.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
69.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
69.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
69.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
68.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
68.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
67.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
66.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
66.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
66.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
66.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
64.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
64.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
64.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
62.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
62.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
62.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
61.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
61.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
61.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
61.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
61.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
60.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
60.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
60.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
60.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
59.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
58.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
58.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
57.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
57.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
56.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
56.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
56.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
56.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
56.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
55.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
55.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
55.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
54.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
54.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
54.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
54.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
54.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
53.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
53.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
53.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
53.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
53.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
53.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
53.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
52.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
52.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
52.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
52.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
51.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
51.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
51.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
51.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
51.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
50.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
50.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
50.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
50.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
50.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
50.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
49.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
49.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
49.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
49.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
48.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
48.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
48.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
48.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
48.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
48.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
47.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
47.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
47.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
47.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
47.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
47.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
47.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
47.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
46.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
46.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
46.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
46.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
46.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
46.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
45.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
45.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
45.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
45.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
44.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
44.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
44.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
44.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
44.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
44.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
44.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
43.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
43.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
43.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
43.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
43.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
43.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
43.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
42.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
42.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
42.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
41.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
41.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
41.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
41.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
41.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
41.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
41.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
40.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
40.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
40.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
39.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
39.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
39.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
39.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
38.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
38.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
38.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
38.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
37.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
37.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
37.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
37.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
37.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
36.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
36.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
36.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
36.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
36.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
35.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
35.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
34.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
34.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
34.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
34.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
33.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
33.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
32.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
32.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
31.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
31.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
31.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
31.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
31.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
30.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
28.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
28.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
28.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
27.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
27.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
27.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
26.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
26.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
25.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
25.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
24.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
23.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
23.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
23.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
23.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
21.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
18.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
17.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
12.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
1.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
