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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.
TMED5 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
10.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
33.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
31.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
27.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
27.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
25.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
25.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
23.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
22.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
22.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
21.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
21.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
20.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
20.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
20.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
19.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
19.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
19.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
19.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
19.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
19.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
18.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
18.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
17.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
17.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
17.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
17.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
17.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
16.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
16.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
16.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
16.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
16.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
16.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
16.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
16.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
16.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
15.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
15.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
15.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
15.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
15.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
15.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
15.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
15.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
14.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
14.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
14.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
14.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
14.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
14.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
14.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
14.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
13.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
13.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
13.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
13.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
13.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
13.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
13.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
13.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
13.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
12.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
12.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
12.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
12.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
12.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
12.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
12.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
12.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
12.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
12.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
12.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
12.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
12.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
11.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
11.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
11.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
11.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
11.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
11.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
11.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
11.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
11.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
11.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
11.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
11.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
11.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
11.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
11.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
11.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
11.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
11.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
11.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
10.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
10.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
10.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
10.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
10.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
10.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
10.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
10.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
10.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
10.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
10.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
10.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
10.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
10.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
10.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
10.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
10.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
10.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
9.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
9.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
9.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
9.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
9.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
9.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
9.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
9.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
9.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
9.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
9.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
9.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
9.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
9.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
9.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
9.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
9.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
9.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
9.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
9.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
9.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
9.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
9.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
9.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
8.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
8.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
8.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
8.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
8.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
8.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
8.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
8.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
8.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
8.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
8.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
8.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
8.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
8.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
8.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
8.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
8.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
8.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
8.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
8.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
8.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
8.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
8.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
8.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
7.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
7.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
7.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
7.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
7.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
7.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
7.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
7.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
7.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
7.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
7.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
7.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
7.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
7.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
7.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
7.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
7.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
7.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
7.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
7.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
7.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
6.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
6.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
6.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
6.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
6.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
6.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
6.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
6.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
6.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
6.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
6.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
6.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
6.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
6.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
6.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
6.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
5.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
5.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
5.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
5.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
5.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
5.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
5.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
5.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
5.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
5.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
5.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
4.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
4.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
4.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
4.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
4.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
4.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
4.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
4.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
4.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
4.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
3.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
3.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 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.
TMED5 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
37.8
Number of samples
486
Samples
Sample
Description
TPM
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
119.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
110.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
78.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
78.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
68.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
67.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
64.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
64.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
64.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
63.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
63.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
62.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
62.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
61.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
61.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
60.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
60.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
59.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
58.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
58.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
58.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
55.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
55.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
55.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
55.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
54.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
53.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
53.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
53.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
52.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
52.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
52.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
52.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
52.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
51.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
51.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
51.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
51.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
51.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
50.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
50.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
49.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
49.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
49.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
49.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
49.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
49.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
49.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
49.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
49.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
48.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
48.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
48.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
48.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
48.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
48.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
48.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
48.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
47.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
47.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
47.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
47.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
47.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
47.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
47.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
47.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
46.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
46.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
46.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
46.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
46.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
46.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
45.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
45.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
45.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
45.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
45.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
45.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
45.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
45.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
45.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
44.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
44.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
44.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
44.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
44.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
44.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
43.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
43.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
43.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
43.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
43.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
43.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
43.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
43.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
43.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
43.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
43.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
43.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
43.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
43.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
43.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
43.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
43.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
43.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
43.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
42.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
42.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
42.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
42.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
42.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
42.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
42.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
42.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
42.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
41.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
41.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
41.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
41.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
41.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
41.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
41.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
41.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
41.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
41.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
41.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
41.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
41.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
40.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
40.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
40.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
40.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
40.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
40.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
40.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
40.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
40.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
40.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
40.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
40.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
40.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
40.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
40.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
40.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
40.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
40.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
40.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
40.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
40.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
40.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
40.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
40.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
40.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
39.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
39.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
39.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
39.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
39.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
39.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
39.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
39.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
39.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
39.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
39.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
39.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
39.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
39.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
39.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
39.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
39.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
38.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
38.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
38.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
38.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
38.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
38.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
38.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
38.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
38.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
38.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
38.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
38.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
38.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
38.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
38.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
37.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
37.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
37.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
37.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
37.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
37.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
37.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
37.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
37.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
37.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
37.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
37.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
37.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
37.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
37.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
37.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
37.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
37.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
37.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
37.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
37.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
37.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
37.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
36.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
36.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
36.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
36.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
36.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
36.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
36.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
36.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
36.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
36.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
36.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
36.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
36.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
36.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
36.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
36.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
36.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
36.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
36.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
36.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
36.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
36.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
35.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
35.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
35.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
35.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
35.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
35.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
35.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
35.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
35.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
35.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
35.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
35.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
34.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
34.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
34.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
34.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
34.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
34.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
34.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
34.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
34.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
34.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
34.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
34.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
34.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
34.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
33.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
33.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
33.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
33.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
33.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
33.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
33.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
33.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
33.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
33.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
33.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
33.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
33.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
33.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
33.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
33.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
33.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
32.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
32.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
32.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
32.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
32.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
32.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
32.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
32.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
32.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
32.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
32.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
32.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
32.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
32.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
32.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
32.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
32.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
32.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
32.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
32.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
32.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
32.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
32.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
32.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
31.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
31.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
31.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
31.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
31.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
31.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
31.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
31.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
31.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
31.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
31.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
31.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
31.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
31.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
31.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
31.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
31.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
31.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
30.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
30.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
30.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
30.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
30.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
30.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
30.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
30.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
30.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
30.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
30.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
30.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
30.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
29.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
29.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
29.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
29.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
29.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
29.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
29.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
29.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
29.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
29.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
29.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
29.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
29.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
28.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
28.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
28.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
28.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
28.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
28.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
28.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
28.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
28.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
28.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
28.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
28.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
28.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
28.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
28.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
28.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
28.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
28.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
27.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
27.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
27.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
27.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
26.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
26.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
26.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
26.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
26.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
26.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
26.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
26.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
26.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
26.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
25.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
25.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
25.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
25.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
25.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
25.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
25.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
25.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
25.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
24.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
24.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
24.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
24.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
24.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
23.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
23.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
23.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
22.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
22.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
22.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
22.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
22.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
22.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
22.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
21.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
21.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
20.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
20.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
20.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
20.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
20.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
19.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
19.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
19.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
19.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
19.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
19.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
19.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
18.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
18.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
17.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
16.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.3
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.
TMED5 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
10.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
25.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
23.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
19.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
18.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
18.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
18.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
17.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
17.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
16.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
15.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
15.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
15.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
14.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
14.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
14.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
14.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
14.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
14.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
13.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
13.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
13.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
13.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
13.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
12.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
12.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
12.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
11.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
11.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
11.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
11.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
11.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
11.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
11.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
11.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
11.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
11.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
10.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
10.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
10.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
10.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
10.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
10.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
10.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
9.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
9.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
9.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
9.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
9.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
9.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
9.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
8.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
8.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
8.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
8.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
8.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
8.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
8.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
8.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
7.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
7.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
6.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
6.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
6.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
6.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
5.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
5.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
5.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
5.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
5.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
5.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
4.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
4.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.4
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.
TMED5 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
36.3
Number of samples
207
Samples
Sample
Description
TPM
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
66.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
62.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
58.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
57.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
56.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
54.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
54.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
53.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
52.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
52.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
52.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
52.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
51.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
51.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
50.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
50.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
50.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
49.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
49.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
48.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
47.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
47.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
47.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
47.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
46.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
46.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
46.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
45.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
45.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
44.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
44.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
44.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
43.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
43.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
43.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
43.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
43.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
42.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
42.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
42.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
42.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
42.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
42.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
41.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
41.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
41.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
41.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
41.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
41.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
41.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
40.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
40.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
40.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
39.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
39.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
39.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
38.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
38.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
38.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
38.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
38.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
38.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
38.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
38.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
37.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
37.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
37.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
37.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
37.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
37.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
37.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
37.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
36.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
36.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
36.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
36.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
36.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
36.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
36.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
36.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
36.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
35.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
35.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
35.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
35.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
35.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
35.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
35.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
35.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
35.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
35.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
35.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
34.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
34.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
34.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
34.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
34.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
34.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
34.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
34.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
34.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
34.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
34.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
34.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
33.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
33.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
33.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
33.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
33.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
33.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
33.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
33.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
33.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
33.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
33.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
33.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
32.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
32.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
32.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
31.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
31.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
31.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
31.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
31.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
31.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
30.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
30.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
30.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
30.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
30.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
30.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
30.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
30.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
30.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
30.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
29.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
29.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
29.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
29.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
29.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
29.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
28.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
28.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
28.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
27.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
27.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
26.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
26.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
25.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
25.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
25.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
24.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
24.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
24.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
23.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
23.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
22.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
22.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
21.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
21.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
20.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
19.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
19.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
19.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
17.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
17.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.7
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
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Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
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Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
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Tumor
0.1
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Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.