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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.
EPHB2 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
61.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
248.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
200.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
184.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
174.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
168.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
154.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
154.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
152.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
139.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
135.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
134.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
133.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
125.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
124.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
121.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
120.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
118.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
118.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
113.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
113.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
113.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
111.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
106.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
104.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
103.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
102.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
101.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
100.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
99.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
99.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
98.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
97.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
97.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
96.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
96.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
96.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
95.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
94.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
94.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
93.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
92.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
91.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
91.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
91.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
90.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
88.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
87.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
87.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
87.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
87.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
87.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
87.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
87.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
86.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
85.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
85.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
85.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
84.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
84.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
83.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
82.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
82.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
81.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
80.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
80.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
80.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
80.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
80.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
79.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
79.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
78.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
77.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
77.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
76.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
76.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
76.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
74.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
74.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
74.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
73.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
72.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
71.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
71.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
71.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
70.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
70.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
69.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
68.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
68.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
68.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
68.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
67.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
67.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
67.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
67.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
66.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
66.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
66.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
66.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
65.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
64.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
63.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
63.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
63.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
62.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
62.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
61.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
61.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
60.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
59.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
59.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
58.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
58.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
58.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
57.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
57.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
56.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
56.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
56.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
56.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
56.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
55.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
55.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
55.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
55.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
55.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
54.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
54.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
54.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
53.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
53.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
53.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
53.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
53.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
52.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
52.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
52.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
52.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
52.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
52.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
51.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
51.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
50.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
49.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
48.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
48.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
47.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
47.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
47.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
47.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
46.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
46.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
46.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
46.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
45.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
44.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
44.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
44.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
44.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
44.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
44.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
43.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
43.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
43.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
43.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
43.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
43.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
43.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
43.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
42.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
42.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
42.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
42.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
41.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
41.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
41.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
40.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
40.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
40.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
40.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
40.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
39.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
39.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
39.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
39.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
39.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
39.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
39.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
38.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
37.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
37.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
37.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
36.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
35.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
35.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
35.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
35.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
34.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
34.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
33.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
33.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
33.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
33.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
32.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
32.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
32.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
32.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
32.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
31.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
31.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
31.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
31.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
30.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
30.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
30.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
30.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
29.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
29.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
28.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
28.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
27.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
27.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
27.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
26.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
26.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
25.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
25.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
25.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
24.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
24.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
23.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
23.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
22.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
21.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
20.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
18.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
17.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
17.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
16.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
16.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
13.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
12.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
12.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
10.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
10.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
9.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
7.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
5.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 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.
EPHB2 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
79.3
Number of samples
486
Samples
Sample
Description
TPM
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
297.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
262.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
257.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
237.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
229.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
225.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
221.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
218.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
218.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
210.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
209.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
203.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
192.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
190.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
172.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
171.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
170.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
169.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
167.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
167.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
164.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
162.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
162.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
161.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
158.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
158.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
158.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
158.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
157.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
157.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
157.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
155.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
155.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
154.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
153.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
152.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
151.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
149.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
147.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
147.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
146.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
145.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
145.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
144.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
144.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
143.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
141.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
141.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
140.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
140.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
138.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
138.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
137.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
136.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
134.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
134.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
134.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
133.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
133.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
132.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
130.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
130.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
128.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
128.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
128.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
126.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
125.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
124.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
122.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
121.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
121.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
121.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
120.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
119.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
118.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
117.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
117.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
117.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
116.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
116.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
116.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
115.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
113.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
112.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
112.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
112.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
112.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
111.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
111.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
110.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
110.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
109.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
109.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
109.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
108.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
108.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
108.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
108.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
108.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
108.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
107.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
107.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
107.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
107.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
106.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
106.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
105.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
105.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
105.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
105.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
105.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
105.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
104.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
104.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
104.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
103.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
102.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
102.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
102.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
101.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
101.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
101.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
100.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
100.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
99.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
99.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
99.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
99.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
99.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
99.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
97.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
97.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
97.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
97.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
96.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
96.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
96.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
96.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
96.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
95.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
95.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
95.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
94.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
94.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
93.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
93.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
93.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
92.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
92.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
92.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
92.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
91.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
91.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
91.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
91.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
90.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
90.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
90.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
89.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
89.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
88.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
88.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
87.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
87.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
87.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
86.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
86.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
86.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
86.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
85.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
85.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
85.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
84.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
84.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
84.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
84.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
84.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
84.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
83.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
83.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
83.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
82.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
82.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
82.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
82.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
82.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
82.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
82.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
81.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
81.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
81.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
81.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
81.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
81.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
80.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
80.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
80.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
80.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
80.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
80.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
79.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
79.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
79.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
79.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
78.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
78.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
78.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
78.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
77.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
77.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
77.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
77.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
77.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
76.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
76.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
76.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
76.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
76.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
76.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
76.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
76.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
75.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
75.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
75.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
75.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
74.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
74.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
74.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
74.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
73.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
72.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
72.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
72.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
72.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
72.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
72.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
72.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
72.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
72.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
71.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
71.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
71.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
71.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
71.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
71.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
70.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
70.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
70.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
70.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
70.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
68.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
68.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
67.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
67.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
67.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
67.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
67.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
67.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
66.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
66.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
66.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
66.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
66.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
66.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
66.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
66.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
65.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
65.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
65.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
65.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
65.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
65.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
65.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
65.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
65.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
65.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
64.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
64.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
64.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
64.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
64.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
63.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
63.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
63.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
63.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
63.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
62.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
62.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
62.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
62.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
62.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
62.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
62.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
61.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
61.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
61.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
61.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
61.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
61.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
60.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
59.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
59.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
59.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
59.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
58.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
58.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
58.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
57.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
57.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
57.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
56.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
56.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
56.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
56.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
56.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
56.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
56.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
56.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
55.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
55.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
55.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
55.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
55.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
55.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
54.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
54.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
54.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
54.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
54.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
54.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
54.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
53.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
53.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
53.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
52.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
52.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
52.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
52.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
52.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
51.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
51.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
51.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
51.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
51.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
51.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
50.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
50.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
50.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
50.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
50.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
50.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
50.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
49.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
49.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
49.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
49.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
49.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
49.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
49.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
48.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
48.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
48.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
48.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
48.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
48.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
47.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
47.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
47.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
47.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
46.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
46.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
46.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
45.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
45.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
45.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
45.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
45.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
45.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
45.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
44.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
44.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
44.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
43.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
43.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
42.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
42.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
42.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
42.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
42.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
42.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
41.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
41.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
40.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
40.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
40.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
40.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
39.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
39.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
38.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
38.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
38.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
38.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
38.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
38.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
37.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
37.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
37.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
36.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
36.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
35.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
35.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
35.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
35.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
34.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
34.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
34.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
34.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
33.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
33.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
33.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
33.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
32.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
32.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
31.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
31.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
31.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
31.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
30.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
30.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
30.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
29.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
29.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
29.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
28.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
27.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
27.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
26.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
26.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
24.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
23.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
23.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
23.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
23.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
23.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
22.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
21.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
21.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
20.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
20.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
20.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
19.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
19.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
19.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
18.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
14.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
14.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
14.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
13.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
12.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
10.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
6.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
4.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
3.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EPHB2 is potential prognostic, high expression is favorable 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
60.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
265.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
142.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
140.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
136.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
133.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
133.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
128.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
119.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
104.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
98.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
96.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
94.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
92.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
91.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
91.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
89.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
88.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
84.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
79.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
78.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
78.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
78.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
75.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
73.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
71.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
70.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
68.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
67.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
64.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
63.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
62.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
61.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
61.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
61.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
61.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
58.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
58.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
57.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
57.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
57.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
56.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
56.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
56.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
55.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
55.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
54.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
53.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
53.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
49.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
48.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
47.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
46.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
45.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
44.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
44.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
43.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
42.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
38.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
38.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
37.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
37.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
37.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
37.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
36.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
35.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
33.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
33.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
33.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
32.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
32.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
31.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
31.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
29.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
28.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
28.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
24.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
23.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
23.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
22.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
22.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
21.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
20.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
17.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
16.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
16.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
EPHB2 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
70.7
Number of samples
207
Samples
Sample
Description
TPM
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
194.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
188.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
187.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
187.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
158.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
154.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
146.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
140.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
140.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
138.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
138.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
137.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
136.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
131.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
130.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
124.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
120.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
118.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
118.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
118.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
117.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
116.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
115.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
115.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
110.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
110.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
107.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
105.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
105.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
103.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
101.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
100.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
99.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
98.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
98.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
97.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
96.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
94.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
94.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
93.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
93.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
92.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
90.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
90.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
89.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
89.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
89.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
88.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
88.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
87.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
87.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
87.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
86.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
86.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
86.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
86.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
84.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
84.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
83.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
83.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
83.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
81.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
80.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
80.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
80.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
80.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
79.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
79.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
78.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
77.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
77.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
77.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
76.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
76.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
75.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
75.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
74.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
74.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
74.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
73.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
73.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
73.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
73.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
72.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
72.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
71.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
70.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
70.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
69.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
69.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
69.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
68.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
68.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
68.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
68.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
67.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
67.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
67.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
66.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
66.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
66.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
66.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
65.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
64.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
64.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
63.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
63.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
62.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
62.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
61.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
61.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
61.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
60.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
60.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
60.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
59.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
59.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
59.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
59.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
58.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
58.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
58.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
57.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
57.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
57.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
57.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
56.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
56.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
56.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
56.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
56.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
56.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
56.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
55.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
55.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
54.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
54.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
53.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
53.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
53.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
52.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
52.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
52.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
52.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
51.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
51.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
51.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
50.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
50.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
49.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
48.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
47.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
46.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
46.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
46.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
46.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
45.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
43.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
42.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
42.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
42.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
41.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
41.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
41.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
41.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
40.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
40.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
40.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
39.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
38.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
38.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
36.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
35.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
35.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
34.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
33.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
33.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
33.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
32.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
31.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
31.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
29.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
28.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
28.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
27.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
27.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
22.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
22.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
19.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
17.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
12.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
1.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
1.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.6
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
