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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.
TMED7 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
32.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
132.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
82.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
82.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
81.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
71.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
71.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
68.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
67.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
66.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
64.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
63.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
61.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
59.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
58.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
56.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
54.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
53.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
53.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
53.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
53.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
52.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
52.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
50.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
50.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
49.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
49.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
47.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
47.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
47.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
47.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
46.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
46.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
46.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
45.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
45.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
45.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
45.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
45.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
45.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
44.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
44.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
43.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
43.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
43.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
43.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
43.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
43.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
41.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
41.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
41.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
41.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
40.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
40.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
40.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
40.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
40.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
39.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
39.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
39.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
39.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
39.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
38.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
38.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
38.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
38.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
38.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
38.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
37.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
37.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
37.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
37.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
37.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
36.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
36.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
36.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
36.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
35.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
35.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
35.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
35.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
35.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
34.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
34.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
34.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
34.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
34.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
34.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
33.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
33.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
33.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
33.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
33.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
33.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
33.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
32.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
32.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
32.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
32.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
32.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
32.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
32.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
31.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
31.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
31.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
31.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
31.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
31.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
31.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
31.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
31.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
30.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
30.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
30.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
30.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
30.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
30.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
30.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
30.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
30.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
30.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
30.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
29.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
29.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
29.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
29.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
29.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
29.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
29.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
29.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
29.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
29.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
28.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
28.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
28.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
28.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
28.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
28.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
28.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
28.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
27.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
27.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
27.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
27.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
27.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
27.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
27.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
27.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
27.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
27.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
27.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
27.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
27.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
27.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
27.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
27.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
27.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
27.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
26.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
26.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
26.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
26.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
26.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
26.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
26.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
26.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
25.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
25.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
25.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
25.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
25.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
25.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
25.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
25.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
24.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
24.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
24.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
24.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
24.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
24.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
24.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
24.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
24.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
24.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
23.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
23.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
23.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
23.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
23.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
23.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
23.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
23.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
22.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
22.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
22.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
22.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
22.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
22.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
22.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
22.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
22.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
22.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
21.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
21.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
21.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
21.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
21.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
21.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
21.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
20.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
20.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
19.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
19.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
19.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
19.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
19.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
18.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
18.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
18.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
17.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
17.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
17.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
17.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
16.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
16.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
16.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
16.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
16.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
16.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
16.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
15.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
15.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
14.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
14.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
14.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
14.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
14.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
13.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
13.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
13.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
12.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
12.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 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.
TMED7 is potential prognostic, high expression is favorable 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
47.9
Number of samples
486
Samples
Sample
Description
TPM
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
108.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
106.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
95.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
93.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
91.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
89.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
87.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
84.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
83.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
83.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
82.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
82.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
81.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
81.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
81.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
81.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
80.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
80.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
79.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
78.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
77.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
77.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
77.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
76.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
75.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
75.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
75.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
74.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
74.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
72.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
72.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
72.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
72.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
72.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
72.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
71.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
71.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
71.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
71.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
71.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
71.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
71.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
71.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
71.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
71.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
71.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
71.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
70.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
70.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
69.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
69.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
68.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
68.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
68.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
68.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
68.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
68.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
68.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
67.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
67.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
67.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
66.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
66.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
66.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
66.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
65.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
65.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
65.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
65.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
64.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
64.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
64.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
64.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
64.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
64.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
63.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
63.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
63.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
63.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
63.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
63.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
63.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
62.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
62.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
62.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
62.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
62.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
62.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
61.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
61.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
61.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
61.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
61.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
61.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
61.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
61.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
60.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
60.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
60.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
60.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
60.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
60.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
59.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
59.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
59.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
59.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
59.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
58.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
58.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
58.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
58.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
58.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
58.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
58.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
58.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
58.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
58.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
58.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
57.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
57.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
57.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
57.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
57.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
57.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
57.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
57.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
57.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
56.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
56.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
56.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
56.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
56.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
56.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
56.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
56.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
55.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
55.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
55.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
55.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
55.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
55.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
55.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
55.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
54.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
54.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
54.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
54.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
54.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
54.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
54.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
54.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
54.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
54.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
54.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
54.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
53.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
53.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
53.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
53.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
53.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
53.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
53.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
53.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
53.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
53.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
53.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
52.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
52.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
52.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
52.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
52.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
52.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
52.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
52.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
52.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
52.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
52.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
52.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
52.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
51.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
51.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
51.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
51.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
51.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
51.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
51.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
51.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
51.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
51.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
50.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
50.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
50.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
50.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
50.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
50.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
50.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
50.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
50.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
49.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
49.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
49.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
49.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
49.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
49.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
49.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
48.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
48.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
48.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
48.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
48.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
48.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
48.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
48.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
48.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
47.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
47.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
47.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
47.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
47.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
47.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
47.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
47.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
47.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
47.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
46.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
46.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
46.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
46.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
46.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
46.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
46.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
45.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
45.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
45.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
45.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
45.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
45.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
45.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
45.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
45.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
45.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
45.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
45.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
45.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
45.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
44.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
44.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
44.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
44.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
44.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
44.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
44.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
44.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
44.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
44.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
44.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
44.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
44.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
44.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
44.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
44.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
43.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
43.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
43.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
43.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
43.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
43.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
43.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
43.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
43.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
43.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
42.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
42.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
42.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
42.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
42.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
42.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
42.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
42.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
42.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
42.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
41.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
41.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
41.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
41.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
41.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
41.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
41.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
41.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
41.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
40.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
40.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
40.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
40.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
40.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
40.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
40.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
40.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
40.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
40.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
40.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
40.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
39.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
39.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
39.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
39.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
39.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
39.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
39.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
39.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
38.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
38.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
38.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
38.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
38.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
38.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
38.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
37.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
37.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
37.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
37.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
37.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
37.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
37.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
37.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
36.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
36.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
36.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
36.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
36.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
36.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
36.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
36.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
36.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
36.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
36.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
36.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
36.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
36.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
35.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
35.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
35.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
35.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
35.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
35.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
35.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
35.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
35.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
35.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
35.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
35.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
34.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
34.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
34.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
34.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
34.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
34.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
34.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
33.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
33.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
33.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
33.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
33.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
33.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
33.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
33.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
33.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
33.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
33.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
32.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
32.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
32.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
32.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
32.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
32.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
32.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
32.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
32.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
32.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
32.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
31.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
31.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
31.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
31.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
31.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
31.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
31.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
31.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
30.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
30.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
30.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
30.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
30.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
30.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
30.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
30.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
30.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
30.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
29.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
28.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
28.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
28.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
27.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
27.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
27.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
27.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
27.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
27.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
27.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
27.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
26.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
26.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
26.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
25.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
25.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
25.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
24.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
24.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
24.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
24.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
24.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
23.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
23.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
23.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
22.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
22.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
20.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
20.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
20.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
19.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
19.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
19.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
18.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
18.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
14.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TMED7 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
32.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
88.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
66.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
60.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
53.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
51.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
47.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
45.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
45.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
44.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
44.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
43.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
43.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
42.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
42.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
41.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
41.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
41.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
41.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
40.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
40.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
40.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
40.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
39.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
39.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
38.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
38.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
37.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
37.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
36.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
35.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
35.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
35.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
35.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
35.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
34.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
34.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
34.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
34.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
34.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
33.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
32.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
32.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
32.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
31.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
31.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
31.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
31.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
30.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
30.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
29.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
28.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
28.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
28.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
28.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
27.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
27.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
27.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
27.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
27.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
27.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
25.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
25.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
25.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
25.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
23.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
23.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
22.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
22.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
22.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
21.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
21.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
20.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
20.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
18.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
18.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
17.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
17.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
16.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
16.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
16.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
15.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TMED7 is potential prognostic, high expression is unfavorable 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
43.9
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
85.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
72.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
72.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
71.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
70.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
66.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
66.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
66.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
64.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
64.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
63.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
63.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
63.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
62.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
62.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
62.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
61.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
61.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
61.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
60.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
59.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
59.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
58.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
57.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
56.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
56.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
56.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
56.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
55.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
55.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
54.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
54.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
54.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
54.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
54.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
53.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
53.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
52.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
52.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
52.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
51.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
51.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
51.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
51.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
51.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
51.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
51.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
50.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
50.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
50.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
50.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
49.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
49.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
49.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
49.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
49.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
49.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
49.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
48.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
48.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
48.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
48.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
48.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
48.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
47.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
47.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
46.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
46.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
46.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
46.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
46.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
46.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
46.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
46.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
45.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
45.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
45.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
45.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
44.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
44.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
44.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
44.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
44.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
44.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
44.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
44.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
43.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
43.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
43.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
43.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
43.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
43.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
43.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
43.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
43.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
42.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
42.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
42.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
42.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
42.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
42.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
42.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
41.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
41.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
40.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
40.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
40.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
40.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
39.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
39.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
39.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
39.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
39.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
39.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
39.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
39.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
38.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
38.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
38.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
37.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
37.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
37.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
37.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
37.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
37.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
37.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
36.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
36.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
36.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
36.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
36.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
35.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
35.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
35.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
34.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
34.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
34.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
34.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
34.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
34.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
33.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
33.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
33.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
33.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
33.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
32.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
32.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
32.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
32.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
32.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
32.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
31.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
31.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
30.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
29.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
29.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
29.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
29.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
25.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
25.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
25.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
24.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
23.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
23.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
21.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
21.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
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Normal
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
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Tumor
0.3
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Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.2
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Normal
0.2
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Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
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Tumor
0.2
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Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.0
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Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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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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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
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Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
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Tumor
-0.2
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Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
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Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
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Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
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Normal
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
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Normal
-0.4
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Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
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Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-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.