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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.
TCEA1 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
62.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
207.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
189.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
182.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
161.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
161.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
157.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
157.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
152.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
148.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
133.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
130.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
127.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
116.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
115.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
112.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
109.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
108.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
105.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
104.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
103.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
101.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
101.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
99.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
99.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
99.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
99.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
96.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
95.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
94.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
94.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
88.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
87.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
87.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
86.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
85.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
85.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
85.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
85.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
83.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
83.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
82.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
81.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
80.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
79.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
79.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
79.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
78.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
78.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
78.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
77.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
76.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
76.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
74.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
73.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
73.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
72.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
71.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
71.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
70.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
70.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
70.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
70.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
70.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
69.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
69.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
69.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
68.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
68.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
67.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
67.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
66.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
66.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
66.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
65.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
65.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
65.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
65.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
65.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
64.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
64.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
64.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
64.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
64.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
64.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
64.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
63.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
63.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
63.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
63.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
62.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
62.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
62.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
62.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
62.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
62.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
61.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
61.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
61.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
61.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
60.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
60.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
60.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
59.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
59.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
59.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
58.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
58.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
58.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
58.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
58.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
57.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
57.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
57.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
57.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
56.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
56.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
56.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
56.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
56.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
55.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
55.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
55.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
54.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
54.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
54.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
54.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
54.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
53.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
53.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
53.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
53.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
53.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
53.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
53.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
52.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
52.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
52.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
52.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
52.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
52.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
52.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
52.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
51.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
51.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
51.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
51.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
51.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
51.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
50.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
50.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
50.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
50.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
50.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
49.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
49.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
49.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
49.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
49.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
49.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
49.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
49.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
49.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
48.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
48.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
48.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
48.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
48.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
48.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
48.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
47.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
47.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
47.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
47.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
46.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
46.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
46.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
45.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
45.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
45.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
45.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
45.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
45.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
45.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
45.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
45.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
45.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
45.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
45.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
44.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
44.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
44.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
44.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
44.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
44.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
43.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
43.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
43.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
43.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
43.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
43.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
42.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
42.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
42.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
42.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
42.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
42.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
41.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
41.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
41.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
40.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
40.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
40.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
40.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
39.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
39.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
39.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
39.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
39.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
39.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
38.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
38.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
38.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
38.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
37.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
37.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
36.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
36.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
36.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
35.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
35.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
35.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
35.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
34.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
34.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
33.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
33.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
33.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
33.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
32.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
31.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
31.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
30.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
29.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
28.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
26.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
26.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
24.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
24.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
24.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
23.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 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.
TCEA1 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
65.9
Number of samples
486
Samples
Sample
Description
TPM
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
153.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
153.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
129.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
126.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
126.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
125.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
121.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
121.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
120.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
119.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
118.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
117.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
117.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
116.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
116.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
115.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
113.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
112.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
112.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
111.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
109.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
108.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
107.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
105.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
104.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
104.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
103.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
103.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
103.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
102.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
102.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
102.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
101.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
101.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
101.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
100.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
100.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
100.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
100.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
99.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
99.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
98.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
98.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
98.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
97.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
96.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
96.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
96.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
94.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
94.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
93.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
93.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
91.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
90.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
89.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
88.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
88.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
87.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
87.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
87.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
87.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
86.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
86.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
86.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
86.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
85.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
85.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
84.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
84.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
84.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
84.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
84.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
83.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
83.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
83.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
82.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
82.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
82.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
82.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
82.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
82.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
82.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
81.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
81.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
81.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
81.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
80.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
80.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
80.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
80.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
80.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
80.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
80.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
79.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
79.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
79.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
79.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
79.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
79.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
78.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
77.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
77.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
77.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
77.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
77.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
77.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
77.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
77.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
76.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
76.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
76.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
76.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
76.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
76.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
76.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
76.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
76.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
76.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
75.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
75.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
75.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
75.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
75.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
75.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
74.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
74.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
74.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
74.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
73.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
73.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
73.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
73.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
73.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
73.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
73.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
73.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
72.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
72.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
72.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
72.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
72.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
71.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
71.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
71.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
71.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
71.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
71.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
70.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
70.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
70.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
70.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
70.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
70.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
70.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
70.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
70.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
70.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
69.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
69.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
69.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
69.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
69.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
69.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
68.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
68.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
68.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
68.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
68.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
68.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
68.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
67.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
67.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
67.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
67.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
67.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
67.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
67.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
67.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
67.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
67.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
67.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
67.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
67.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
66.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
66.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
66.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
66.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
66.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
66.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
66.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
66.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
66.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
65.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
65.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
65.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
65.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
65.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
65.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
65.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
65.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
65.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
65.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
65.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
65.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
65.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
65.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
65.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
64.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
64.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
64.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
64.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
64.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
64.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
64.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
63.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
63.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
63.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
63.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
63.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
63.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
63.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
63.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
63.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
63.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
63.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
63.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
63.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
63.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
62.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
62.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
62.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
62.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
62.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
62.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
62.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
62.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
62.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
62.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
62.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
62.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
62.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
62.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
61.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
61.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
61.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
61.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
61.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
61.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
61.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
61.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
61.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
61.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
61.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
61.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
61.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
61.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
61.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
61.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
61.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
60.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
60.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
60.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
60.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
60.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
60.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
60.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
59.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
59.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
59.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
59.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
59.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
59.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
59.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
59.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
59.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
59.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
59.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
59.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
59.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
58.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
58.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
58.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
58.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
58.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
58.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
58.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
58.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
58.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
58.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
58.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
58.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
58.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
58.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
58.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
57.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
57.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
57.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
57.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
57.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
57.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
57.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
57.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
57.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
57.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
57.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
57.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
56.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
56.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
56.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
56.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
56.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
56.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
56.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
56.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
56.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
56.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
56.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
56.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
56.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
56.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
56.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
56.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
56.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
56.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
55.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
55.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
55.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
55.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
55.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
55.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
55.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
55.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
55.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
55.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
55.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
55.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
55.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
55.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
55.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
55.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
55.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
55.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
54.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
54.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
54.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
54.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
54.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
54.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
54.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
54.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
54.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
54.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
54.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
54.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
54.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
54.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
53.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
53.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
53.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
53.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
53.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
53.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
53.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
53.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
53.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
52.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
52.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
52.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
52.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
52.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
52.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
52.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
52.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
52.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
52.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
52.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
51.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
51.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
51.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
51.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
51.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
50.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
50.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
50.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
50.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
50.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
50.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
50.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
50.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
49.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
49.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
49.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
49.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
49.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
49.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
49.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
49.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
48.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
48.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
48.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
48.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
48.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
48.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
48.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
48.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
48.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
48.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
48.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
48.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
48.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
48.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
48.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
47.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
47.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
47.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
47.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
46.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
46.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
46.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
46.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
46.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
46.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
46.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
46.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
46.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
46.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
45.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
45.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
45.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
45.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
45.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
45.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
44.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
44.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
44.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
44.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
44.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
44.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
43.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
43.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
43.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
43.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
42.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
41.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
41.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
41.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
41.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
40.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
40.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
40.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
40.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
40.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
39.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
39.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
38.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
38.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
38.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
36.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
35.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
35.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
34.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
33.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
22.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.4
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.
TCEA1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
64.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
270.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
143.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
140.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
125.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
102.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
102.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
101.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
98.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
96.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
96.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
93.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
87.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
87.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
87.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
84.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
83.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
83.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
81.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
80.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
78.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
78.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
78.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
77.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
74.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
73.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
72.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
71.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
68.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
68.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
68.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
68.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
67.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
67.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
66.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
66.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
65.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
64.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
62.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
60.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
60.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
60.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
59.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
58.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
58.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
57.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
57.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
57.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
56.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
56.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
56.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
55.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
55.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
54.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
53.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
53.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
53.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
52.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
52.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
51.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
50.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
50.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
49.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
48.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
48.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
47.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
46.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
46.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
44.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
43.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
43.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
42.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
41.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
41.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
40.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
40.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
40.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
40.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
40.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
39.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
37.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
36.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
35.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
34.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
26.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
23.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
16.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TCEA1 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
58.0
Number of samples
207
Samples
Sample
Description
TPM
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
183.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
125.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
124.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
121.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
115.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
114.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
114.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
106.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
101.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
97.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
93.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
92.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
92.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
86.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
86.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
85.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
85.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
85.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
85.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
84.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
83.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
81.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
80.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
80.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
80.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
80.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
80.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
79.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
77.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
77.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
77.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
76.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
76.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
76.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
75.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
75.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
74.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
74.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
72.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
72.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
72.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
71.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
71.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
70.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
69.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
69.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
69.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
68.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
68.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
67.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
66.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
65.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
65.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
64.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
64.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
63.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
63.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
63.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
63.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
62.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
62.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
61.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
61.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
61.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
61.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
61.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
61.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
60.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
60.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
60.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
60.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
60.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
59.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
59.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
59.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
59.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
59.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
59.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
58.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
58.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
58.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
58.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
58.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
57.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
57.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
57.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
56.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
56.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
56.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
56.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
56.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
56.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
56.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
56.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
56.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
56.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
55.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
55.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
55.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
55.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
54.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
54.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
54.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
54.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
53.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
53.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
53.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
53.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
53.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
52.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
52.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
52.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
52.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
51.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
51.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
51.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
51.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
51.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
50.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
50.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
50.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
49.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
49.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
49.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
49.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
49.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
49.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
49.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
49.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
49.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
48.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
48.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
48.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
48.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
48.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
47.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
47.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
47.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
47.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
47.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
47.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
47.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
46.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
46.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
46.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
46.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
46.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
46.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
46.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
46.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
45.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
45.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
45.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
45.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
44.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
44.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
44.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
44.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
44.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
43.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
43.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
43.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
43.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
43.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
42.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
42.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
41.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
40.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
40.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
40.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
40.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
38.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
38.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
36.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
34.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
33.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
33.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
33.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
33.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
31.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
29.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
28.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
28.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
28.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
24.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
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Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
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Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
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Tumor
0.1
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Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
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Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
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Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.8
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
