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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.
TEX264 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
61.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
142.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
137.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
126.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
117.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
109.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
104.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
103.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
98.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
95.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
92.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
91.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
91.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
90.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
89.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
88.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
88.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
87.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
87.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
86.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
85.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
85.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
83.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
83.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
82.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
82.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
81.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
81.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
81.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
81.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
81.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
81.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
80.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
80.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
79.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
79.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
78.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
78.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
78.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
77.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
77.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
76.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
76.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
76.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
76.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
74.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
74.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
74.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
74.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
74.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
73.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
72.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
72.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
72.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
72.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
72.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
71.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
71.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
71.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
70.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
70.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
70.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
70.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
70.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
70.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
70.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
70.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
70.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
70.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
70.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
69.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
69.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
69.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
69.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
69.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
68.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
68.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
68.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
68.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
68.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
67.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
67.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
67.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
67.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
67.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
67.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
67.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
67.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
66.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
66.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
66.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
66.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
65.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
65.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
65.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
65.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
64.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
64.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
64.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
64.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
63.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
63.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
63.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
63.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
63.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
63.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
63.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
62.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
62.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
62.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
62.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
62.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
62.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
61.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
61.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
61.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
61.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
61.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
61.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
61.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
61.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
61.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
60.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
60.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
60.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
60.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
59.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
59.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
59.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
59.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
59.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
59.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
59.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
59.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
59.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
59.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
59.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
59.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
59.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
59.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
58.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
58.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
58.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
58.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
58.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
58.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
58.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
58.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
58.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
57.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
57.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
57.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
57.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
57.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
57.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
57.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
57.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
56.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
56.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
56.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
56.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
56.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
56.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
56.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
56.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
56.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
56.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
55.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
55.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
55.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
55.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
55.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
54.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
54.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
54.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
54.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
54.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
54.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
53.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
53.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
53.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
53.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
53.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
53.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
52.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
52.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
52.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
52.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
52.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
52.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
52.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
52.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
52.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
52.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
51.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
51.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
51.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
50.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
50.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
50.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
50.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
50.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
49.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
49.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
49.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
49.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
48.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
48.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
48.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
48.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
47.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
47.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
47.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
47.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
46.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
45.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
45.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
45.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
43.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
43.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
43.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
43.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
43.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
43.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
42.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
42.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
42.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
41.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
41.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
40.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
39.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
39.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
38.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
38.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
38.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
38.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
37.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
37.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
37.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
36.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
35.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
35.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
35.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
33.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
32.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
32.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
31.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
28.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
28.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
27.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
26.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
24.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
22.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 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.
TEX264 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
35.5
Number of samples
486
Samples
Sample
Description
TPM
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
79.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
69.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
63.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
60.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
55.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
55.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
55.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
54.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
54.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
54.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
54.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
53.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
53.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
53.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
52.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
52.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
52.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
52.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
52.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
51.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
51.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
51.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
51.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
51.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
50.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
50.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
50.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
50.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
50.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
50.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
50.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
49.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
49.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
49.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
49.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
49.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
48.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
48.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
48.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
48.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
48.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
48.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
47.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
47.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
47.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
46.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
46.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
46.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
46.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
46.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
46.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
46.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
46.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
46.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
45.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
45.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
45.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
45.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
45.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
45.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
45.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
44.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
44.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
44.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
44.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
44.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
44.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
44.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
43.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
43.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
43.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
43.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
43.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
43.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
43.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
43.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
43.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
43.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
43.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
43.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
43.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
42.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
42.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
42.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
42.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
42.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
42.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
42.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
42.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
42.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
42.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
42.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
42.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
42.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
41.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
41.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
41.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
41.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
41.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
41.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
41.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
41.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
41.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
41.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
41.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
41.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
41.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
41.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
40.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
40.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
40.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
40.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
40.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
40.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
40.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
40.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
40.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
40.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
40.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
40.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
39.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
39.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
39.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
39.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
39.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
39.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
39.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
39.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
39.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
39.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
39.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
39.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
38.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
38.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
38.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
38.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
38.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
38.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
38.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
38.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
38.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
38.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
38.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
38.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
38.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
38.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
38.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
38.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
38.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
37.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
37.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
37.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
37.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
37.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
37.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
37.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
37.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
37.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
37.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
37.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
37.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
37.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
37.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
37.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
37.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
37.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
37.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
37.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
37.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
36.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
36.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
36.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
36.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
36.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
36.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
36.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
36.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
36.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
36.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
36.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
36.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
36.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
36.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
36.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
36.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
36.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
36.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
36.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
36.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
36.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
36.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
36.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
36.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
36.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
35.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
35.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
35.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
35.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
35.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
35.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
35.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
35.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
35.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
35.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
35.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
35.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
35.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
35.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
35.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
35.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
35.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
35.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
35.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
35.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
35.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
34.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
34.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
34.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
34.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
34.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
34.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
34.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
34.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
34.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
34.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
34.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
34.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
34.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
34.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
34.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
34.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
34.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
34.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
34.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
34.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
34.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
34.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
34.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
34.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
34.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
34.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
33.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
33.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
33.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
33.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
33.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
33.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
33.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
33.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
33.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
33.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
33.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
33.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
33.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
33.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
33.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
33.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
33.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
33.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
33.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
33.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
33.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
32.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
32.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
32.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
32.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
32.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
32.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
32.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
32.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
32.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
32.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
32.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
32.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
32.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
32.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
32.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
32.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
32.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
32.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
32.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
31.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
31.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
31.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
31.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
31.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
31.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
31.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
31.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
31.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
31.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
31.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
31.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
31.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
31.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
31.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
31.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
31.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
31.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
31.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
30.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
30.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
30.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
30.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
30.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
30.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
30.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
30.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
30.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
30.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
30.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
30.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
30.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
30.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
30.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
29.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
29.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
29.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
29.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
29.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
29.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
29.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
29.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
29.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
29.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
29.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
29.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
28.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
28.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
28.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
28.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
28.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
28.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
28.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
28.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
28.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
28.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
28.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
28.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
28.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
28.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
28.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
28.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
28.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
28.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
28.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
28.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
28.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
27.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
27.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
27.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
27.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
27.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
27.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
27.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
27.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
27.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
27.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
27.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
27.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
27.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
27.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
27.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
26.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
26.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
26.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
26.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
26.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
26.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
26.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
26.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
26.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
26.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
26.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
26.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
26.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
25.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
25.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
25.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
25.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
25.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
25.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
25.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
25.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
25.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
25.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
25.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
25.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
25.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
25.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
24.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
24.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
24.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
24.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
24.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
24.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
24.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
24.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
24.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
23.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
23.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
23.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
23.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
23.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
23.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
23.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
23.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
23.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
23.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
22.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
22.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
22.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
22.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
22.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
21.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
21.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
21.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
21.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
21.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
20.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
20.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
20.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
20.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
19.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
19.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
18.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
17.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
17.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
17.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
17.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
16.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
16.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
15.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
14.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TEX264 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
59.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
116.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
115.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
106.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
103.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
96.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
87.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
85.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
83.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
83.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
81.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
80.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
74.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
72.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
72.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
72.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
72.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
71.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
70.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
70.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
69.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
69.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
68.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
67.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
66.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
66.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
65.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
65.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
65.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
64.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
64.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
63.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
63.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
62.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
62.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
62.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
61.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
60.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
60.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
60.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
60.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
58.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
58.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
57.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
57.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
56.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
56.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
56.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
55.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
54.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
54.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
54.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
53.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
53.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
53.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
53.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
52.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
52.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
51.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
51.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
51.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
51.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
51.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
50.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
50.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
49.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
49.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
49.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
48.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
48.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
48.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
48.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
47.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
47.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
46.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
46.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
46.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
46.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
45.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
45.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
44.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
33.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
33.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
33.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
32.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
30.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 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.
TEX264 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
32.5
Number of samples
207
Samples
Sample
Description
TPM
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
55.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
53.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
51.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
50.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
49.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
49.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
48.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
47.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
47.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
47.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
46.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
46.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
45.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
45.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
44.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
44.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
44.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
43.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
43.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
43.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
42.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
42.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
42.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
42.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
42.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
41.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
41.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
41.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
40.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
40.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
40.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
40.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
39.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
39.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
38.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
38.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
38.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
38.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
37.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
37.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
37.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
37.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
37.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
37.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
37.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
37.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
36.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
36.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
36.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
36.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
36.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
36.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
36.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
36.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
36.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
36.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
35.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
35.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
35.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
34.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
34.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
34.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
34.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
34.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
34.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
34.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
34.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
34.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
34.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
34.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
34.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
34.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
34.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
34.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
33.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
33.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
33.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
33.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
33.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
32.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
32.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
32.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
32.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
32.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
32.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
32.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
31.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
31.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
31.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
31.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
31.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
31.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
31.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
31.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
31.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
30.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
30.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
30.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
30.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
30.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
30.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
30.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
30.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
30.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
29.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
29.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
29.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
29.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
29.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
29.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
29.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
29.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
29.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
29.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
29.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
29.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
29.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
28.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
28.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
28.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
28.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
28.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
28.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
27.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
27.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
27.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
27.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
27.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
27.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
26.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
26.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
26.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
26.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
26.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
26.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
26.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
26.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
26.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
25.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
25.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
25.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
25.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
24.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
23.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
23.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
23.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
23.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
22.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
22.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
22.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
21.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
21.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
21.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
21.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
20.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
20.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
20.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
20.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
20.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
19.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
18.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
18.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
17.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
17.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
17.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
16.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
16.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
16.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
15.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
14.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
12.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.9
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
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Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
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Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
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Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
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Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
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Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
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Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.9
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.9
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.