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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.
ELOC 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
92.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
268.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
220.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
208.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
202.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
188.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
188.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
178.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
174.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
164.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
164.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
160.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
160.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
156.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
153.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
153.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
153.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
150.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
146.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
146.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
145.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
141.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
140.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
139.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
138.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
134.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
134.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
133.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
130.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
127.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
126.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
125.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
125.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
124.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
122.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
122.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
121.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
121.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
121.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
121.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
120.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
118.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
116.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
115.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
115.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
114.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
114.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
114.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
113.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
112.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
112.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
112.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
111.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
111.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
111.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
110.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
110.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
108.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
108.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
107.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
107.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
107.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
106.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
105.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
105.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
105.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
104.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
104.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
103.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
103.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
103.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
103.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
102.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
102.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
102.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
101.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
101.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
100.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
100.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
100.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
99.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
99.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
98.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
98.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
97.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
96.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
96.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
96.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
96.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
96.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
95.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
95.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
95.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
94.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
94.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
94.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
93.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
93.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
93.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
93.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
93.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
93.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
92.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
92.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
92.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
92.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
92.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
91.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
90.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
90.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
90.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
90.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
90.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
89.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
89.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
89.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
88.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
88.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
88.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
88.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
88.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
87.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
87.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
87.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
87.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
86.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
86.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
86.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
86.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
85.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
85.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
84.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
84.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
84.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
84.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
84.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
83.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
83.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
83.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
83.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
83.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
83.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
82.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
82.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
82.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
82.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
82.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
82.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
81.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
81.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
81.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
80.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
80.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
79.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
79.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
79.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
79.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
79.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
79.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
79.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
79.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
79.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
78.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
78.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
77.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
77.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
76.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
76.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
75.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
75.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
75.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
75.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
75.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
75.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
75.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
74.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
74.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
74.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
73.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
72.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
72.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
72.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
71.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
71.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
71.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
71.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
71.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
71.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
71.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
70.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
70.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
70.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
69.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
69.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
69.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
69.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
69.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
69.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
69.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
68.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
68.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
68.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
68.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
68.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
68.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
67.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
67.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
66.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
65.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
65.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
65.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
64.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
63.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
63.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
63.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
62.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
62.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
62.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
62.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
61.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
61.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
61.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
60.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
60.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
60.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
60.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
59.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
58.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
57.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
57.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
57.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
56.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
56.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
56.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
55.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
55.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
55.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
55.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
55.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
54.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
52.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
52.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
49.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
48.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
48.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
48.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
47.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
45.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
45.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
45.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
44.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
44.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
42.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 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.
ELOC 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
53.8
Number of samples
486
Samples
Sample
Description
TPM
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
139.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
115.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
111.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
109.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
106.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
106.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
105.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
104.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
102.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
101.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
100.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
99.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
98.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
96.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
95.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
94.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
93.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
92.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
92.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
92.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
91.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
90.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
90.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
90.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
86.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
86.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
85.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
84.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
83.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
82.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
82.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
81.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
80.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
80.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
80.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
80.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
80.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
79.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
78.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
78.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
78.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
78.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
77.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
76.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
76.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
75.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
74.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
74.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
74.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
73.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
73.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
73.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
72.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
71.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
71.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
71.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
71.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
71.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
71.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
70.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
70.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
70.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
70.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
70.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
69.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
69.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
69.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
69.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
69.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
69.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
68.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
68.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
68.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
68.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
68.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
67.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
67.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
67.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
67.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
67.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
66.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
66.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
66.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
66.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
66.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
66.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
66.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
66.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
66.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
65.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
65.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
65.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
65.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
65.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
65.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
65.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
65.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
65.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
64.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
64.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
64.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
64.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
63.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
63.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
63.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
63.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
63.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
63.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
62.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
62.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
62.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
62.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
62.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
62.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
62.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
61.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
61.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
61.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
61.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
61.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
61.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
60.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
60.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
60.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
60.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
60.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
59.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
59.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
59.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
59.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
59.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
59.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
59.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
59.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
59.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
59.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
59.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
59.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
59.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
59.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
59.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
59.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
58.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
58.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
58.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
58.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
58.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
58.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
58.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
57.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
57.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
57.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
57.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
57.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
57.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
57.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
57.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
57.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
57.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
57.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
57.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
57.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
56.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
56.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
56.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
56.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
56.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
56.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
56.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
56.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
55.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
55.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
55.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
55.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
55.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
55.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
55.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
55.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
55.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
55.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
55.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
55.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
54.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
54.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
54.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
54.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
54.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
54.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
54.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
54.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
54.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
54.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
54.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
54.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
54.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
54.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
54.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
53.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
53.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
53.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
53.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
53.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
53.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
53.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
53.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
52.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
52.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
52.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
52.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
52.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
52.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
52.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
52.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
52.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
52.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
52.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
52.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
51.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
51.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
51.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
51.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
51.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
51.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
51.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
51.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
51.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
51.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
51.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
50.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
50.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
50.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
50.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
50.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
50.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
50.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
50.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
50.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
50.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
50.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
50.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
50.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
50.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
49.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
49.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
49.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
49.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
49.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
49.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
49.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
49.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
49.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
49.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
49.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
49.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
49.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
49.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
49.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
49.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
48.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
48.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
48.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
48.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
48.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
48.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
48.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
48.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
48.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
48.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
48.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
48.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
48.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
47.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
47.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
47.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
47.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
47.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
47.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
47.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
47.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
47.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
47.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
47.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
47.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
47.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
47.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
47.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
47.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
47.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
47.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
47.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
46.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
46.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
46.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
46.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
46.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
46.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
46.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
46.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
46.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
46.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
45.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
45.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
45.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
45.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
45.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
45.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
45.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
45.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
45.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
45.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
45.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
45.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
45.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
45.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
45.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
45.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
44.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
44.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
44.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
44.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
44.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
44.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
44.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
44.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
44.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
43.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
43.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
43.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
43.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
43.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
43.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
43.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
43.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
43.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
43.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
43.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
43.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
43.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
43.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
43.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
43.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
43.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
43.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
43.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
42.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
42.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
42.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
42.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
42.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
42.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
42.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
42.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
42.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
42.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
41.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
41.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
41.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
41.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
41.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
41.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
41.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
41.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
41.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
41.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
41.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
41.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
41.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
41.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
40.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
40.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
40.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
40.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
40.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
39.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
39.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
39.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
39.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
39.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
39.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
39.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
38.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
38.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
38.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
38.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
38.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
38.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
38.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
38.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
38.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
37.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
37.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
37.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
37.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
37.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
37.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
36.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
35.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
35.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
35.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
35.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
35.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
35.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
35.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
35.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
35.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
34.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
34.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
34.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
34.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
34.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
34.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
34.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
34.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
34.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
33.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
33.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
33.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
33.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
32.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
32.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
32.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
32.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
31.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
31.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
30.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
30.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
28.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
27.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
27.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
27.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
26.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
26.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ELOC 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
98.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
233.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
185.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
172.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
163.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
161.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
159.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
147.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
145.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
139.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
128.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
127.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
123.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
121.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
121.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
120.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
118.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
114.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
114.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
113.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
113.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
110.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
110.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
109.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
108.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
107.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
107.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
107.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
105.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
104.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
103.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
101.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
101.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
101.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
101.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
100.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
99.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
99.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
98.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
98.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
98.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
98.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
98.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
97.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
97.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
97.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
96.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
95.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
94.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
94.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
94.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
94.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
93.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
91.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
91.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
90.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
90.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
90.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
89.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
84.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
82.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
82.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
81.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
80.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
80.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
80.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
79.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
78.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
78.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
77.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
76.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
75.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
74.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
71.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
71.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
70.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
69.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
66.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
66.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
63.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
62.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
62.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
60.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
59.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
58.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
56.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
53.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
52.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 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.
ELOC 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
50.5
Number of samples
207
Samples
Sample
Description
TPM
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
244.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
117.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
105.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
104.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
98.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
97.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
97.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
82.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
78.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
76.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
74.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
74.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
74.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
74.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
73.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
73.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
73.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
69.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
69.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
68.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
68.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
68.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
67.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
67.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
66.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
66.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
66.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
66.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
65.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
65.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
64.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
64.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
63.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
63.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
62.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
61.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
60.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
60.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
60.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
59.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
59.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
59.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
59.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
58.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
58.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
58.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
57.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
57.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
57.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
56.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
56.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
56.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
56.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
56.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
55.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
55.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
55.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
54.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
54.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
54.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
54.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
54.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
53.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
53.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
53.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
53.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
53.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
52.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
52.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
52.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
52.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
52.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
52.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
52.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
52.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
52.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
52.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
51.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
51.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
51.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
50.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
50.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
50.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
50.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
49.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
49.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
49.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
49.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
48.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
48.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
48.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
47.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
47.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
47.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
46.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
46.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
46.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
46.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
46.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
46.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
46.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
46.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
45.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
45.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
45.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
45.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
45.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
45.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
45.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
44.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
44.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
44.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
44.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
43.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
43.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
43.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
43.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
42.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
42.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
42.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
42.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
42.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
42.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
41.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
41.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
41.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
40.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
40.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
40.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
40.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
40.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
39.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
39.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
38.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
38.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
38.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
38.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
38.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
38.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
38.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
38.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
37.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
37.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
37.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
36.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
36.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
36.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
36.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
35.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
35.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
35.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
35.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
35.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
35.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
34.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
33.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
33.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
33.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
33.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
32.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
32.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
32.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
31.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
31.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
31.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
30.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
30.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
29.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
28.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
27.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
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Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Normal
-0.1
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Normal
-0.1
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Tumor
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Tumor
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Normal
-0.1
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Tumor
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Tumor
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Normal
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Tumor
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Normal
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
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Normal
-0.2
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Normal
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
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Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
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Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
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Tumor
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.