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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.
CYP4F3 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
6.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
25.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
25.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
22.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
20.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
20.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
20.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
19.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
19.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
18.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
18.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
17.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
17.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
17.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
17.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
16.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
15.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
15.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
15.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
15.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
15.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
14.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
14.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
14.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
13.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
13.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
13.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
13.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
13.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
13.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
12.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
12.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
12.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
12.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
12.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
12.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
11.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
11.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
11.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
11.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
11.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
11.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
10.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
10.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
10.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
10.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
10.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
10.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
9.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
9.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
9.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
9.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
9.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
9.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
8.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
8.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
8.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
8.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
8.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
8.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
8.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
8.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
8.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
8.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
8.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
7.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
7.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
7.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
7.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
7.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
7.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
7.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
7.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
7.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
7.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
7.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
7.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
6.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
6.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
6.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
6.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
6.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
6.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
6.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
6.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
6.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
6.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
6.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
6.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
6.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
6.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
6.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
6.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
6.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
6.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
6.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
6.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
5.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
5.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
5.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
5.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
5.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
5.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
5.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
5.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
5.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
5.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
5.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
5.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
5.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
5.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
5.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
5.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
5.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
5.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
5.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
5.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
5.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
5.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
5.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
5.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
4.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
4.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
4.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
4.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
4.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
4.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
4.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
4.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
4.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
4.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
4.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
4.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
4.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
4.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
3.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
3.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
3.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
3.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
3.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
3.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
3.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
3.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
3.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
3.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
3.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
3.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
3.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
3.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
3.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
3.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
3.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
3.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
3.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
3.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
3.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
3.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
2.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
2.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
2.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
2.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
2.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
2.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
2.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
2.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
2.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
2.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
2.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
2.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
2.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
2.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
2.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
2.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
1.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
1.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
1.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
0.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
0.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
0.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
0.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
0.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
0.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
0.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
0.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
0.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
0.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
0.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
0.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
0.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
0.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
0.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 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.
CYP4F3 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
12.2
Number of samples
486
Samples
Sample
Description
TPM
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
72.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
63.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
60.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
49.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
47.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
45.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
45.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
44.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
43.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
42.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
41.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
39.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
39.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
38.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
37.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
37.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
37.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
35.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
35.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
34.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
33.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
31.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
31.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
31.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
31.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
31.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
31.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
30.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
29.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
29.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
28.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
28.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
28.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
27.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
27.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
27.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
26.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
26.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
26.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
25.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
25.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
25.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
25.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
24.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
24.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
24.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
24.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
24.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
24.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
23.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
23.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
23.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
23.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
23.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
23.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
23.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
22.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
22.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
22.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
21.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
21.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
21.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
21.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
21.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
21.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
21.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
20.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
20.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
20.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
20.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
20.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
20.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
20.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
20.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
20.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
20.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
20.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
19.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
19.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
19.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
19.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
19.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
19.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
19.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
19.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
19.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
19.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
19.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
19.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
19.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
18.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
18.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
18.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
18.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
18.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
18.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
18.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
17.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
17.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
17.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
17.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
17.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
17.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
17.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
17.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
17.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
17.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
17.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
16.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
16.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
16.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
16.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
16.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
16.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
16.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
16.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
16.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
16.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
16.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
16.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
15.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
15.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
15.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
15.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
15.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
15.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
15.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
15.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
15.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
15.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
15.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
15.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
15.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
15.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
15.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
15.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
15.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
15.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
15.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
14.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
14.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
14.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
14.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
14.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
14.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
14.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
14.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
14.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
14.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
13.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
13.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
13.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
13.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
13.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
13.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
13.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
13.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
13.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
13.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
13.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
13.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
13.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
12.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
12.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
12.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
12.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
12.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
12.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
12.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
12.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
12.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
12.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
12.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
12.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
12.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
12.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
12.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
12.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
12.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
12.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
12.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
11.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
11.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
11.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
11.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
11.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
11.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
11.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
11.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
11.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
11.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
11.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
11.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
11.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
11.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
11.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
11.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
11.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
10.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
10.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
10.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
10.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
10.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
10.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
10.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
10.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
10.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
10.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
10.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
10.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
10.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
10.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
10.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
10.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
10.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
10.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
10.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
10.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
9.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
9.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
9.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
9.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
9.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
9.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
9.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
9.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
9.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
9.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
9.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
9.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
9.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
9.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
9.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
9.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
9.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
9.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
9.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
9.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
9.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
9.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
9.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
9.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
9.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
9.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
9.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
9.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
8.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
8.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
8.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
8.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
8.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
8.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
8.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
8.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
8.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
8.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
8.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
8.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
8.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
8.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
8.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
8.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
8.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
8.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
8.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
8.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
8.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
8.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
8.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
8.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
8.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
8.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
8.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
8.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
8.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
8.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
8.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
8.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
7.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
7.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
7.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
7.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
7.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
7.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
7.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
7.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
7.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
7.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
7.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
7.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
7.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
7.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
7.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
7.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
7.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
7.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
7.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
7.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
7.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
7.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
7.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
7.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
7.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
6.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
6.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
6.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
6.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
6.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
6.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
6.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
6.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
6.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
6.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
6.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
6.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
6.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
6.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
6.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
6.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
6.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
6.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
6.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
6.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
6.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
6.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
6.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
6.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
6.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
6.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
6.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
6.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
6.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
6.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
6.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
6.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
6.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
6.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
5.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
5.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
5.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
5.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
5.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
5.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
5.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
5.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
5.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
5.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
5.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
5.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
5.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
5.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
5.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
5.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
5.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
5.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
5.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
5.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
5.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
5.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
5.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
5.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
4.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
4.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
4.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
4.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
4.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
4.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
4.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
4.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
4.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
4.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
4.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
4.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
4.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
4.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
4.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
4.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
4.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
4.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
4.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
4.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
4.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
4.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
4.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
4.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
4.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
4.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
4.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
4.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
4.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
4.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
4.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
4.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
3.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
3.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
3.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
3.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
3.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
3.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
3.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
3.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
3.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
3.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
3.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
3.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
3.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
3.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
3.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
3.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
3.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
3.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
3.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
3.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
3.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
3.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
3.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
3.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
3.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
3.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
3.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
3.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
3.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
3.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
3.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
3.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
2.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
2.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
2.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
2.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
2.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
2.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
2.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
2.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
2.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
2.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
2.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
2.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
2.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
2.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
2.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
2.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
2.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
2.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
2.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
2.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
2.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
2.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
2.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
2.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
2.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
2.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
2.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
2.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
2.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
2.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
2.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
2.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
2.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
2.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
2.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
1.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
1.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
1.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
1.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
1.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
1.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
1.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
0.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
0.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.2
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.
CYP4F3 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
6.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
27.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
22.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
20.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
19.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
19.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
16.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
14.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
13.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
13.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
12.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
12.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
12.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
12.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
11.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
10.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
10.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
10.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
10.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
10.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
10.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
9.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
9.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
8.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
8.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
8.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
8.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
8.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
7.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
7.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
6.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
6.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
6.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
6.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
6.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
5.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
5.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
5.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
5.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
5.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
4.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
4.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
4.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
4.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
4.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
4.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
4.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
4.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
4.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
4.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
4.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
3.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
3.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
3.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
3.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
2.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
2.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
2.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
2.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
1.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
0.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
0.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
0.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 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.
CYP4F3 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
12.1
Number of samples
207
Samples
Sample
Description
TPM
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
51.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
40.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
39.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
38.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
37.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
34.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
33.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
31.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
31.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
29.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
29.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
27.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
27.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
26.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
26.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
26.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
25.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
24.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
23.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
23.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
22.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
22.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
22.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
21.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
21.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
21.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
20.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
20.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
20.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
20.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
19.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
19.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
19.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
19.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
19.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
19.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
18.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
18.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
18.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
18.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
18.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
17.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
17.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
17.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
17.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
17.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
17.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
17.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
17.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
17.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
17.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
16.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
16.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
16.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
15.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
15.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
15.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
15.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
15.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
15.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
15.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
14.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
14.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
14.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
14.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
14.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
14.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
13.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
13.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
13.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
12.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
12.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
12.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
12.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
12.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
12.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
12.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
11.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
11.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
11.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
11.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
11.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
10.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
10.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
10.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
10.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
10.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
10.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
10.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
10.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
10.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
10.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
10.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
10.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
10.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
9.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
9.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
9.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
9.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
9.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
9.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
9.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
9.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
9.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
9.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
9.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
9.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
8.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
8.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
8.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
8.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
8.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
8.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
8.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
8.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
8.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
8.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
8.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
8.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
8.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
8.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
8.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
7.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
7.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
7.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
7.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
7.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
7.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
7.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
7.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
7.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
7.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
7.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
7.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
6.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
6.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
6.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
6.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
6.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
6.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
6.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
6.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
6.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
6.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
6.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
6.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
5.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
5.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
5.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
5.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
5.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
5.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
5.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
5.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
5.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
5.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
5.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
5.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
5.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
5.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
4.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
4.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
4.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
4.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
4.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
4.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
4.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
4.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
4.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
4.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
4.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
4.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
4.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
4.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
4.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
3.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
3.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
3.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
3.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
3.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
3.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
3.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
3.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
3.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
3.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
3.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
3.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
3.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
3.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
3.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
3.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
2.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
2.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
2.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
2.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
2.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
2.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
2.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
2.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
2.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
0.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
0.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
1.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.9
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.9
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.9
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.8
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.8
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.8
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.8
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.9
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-1.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.3
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.