We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
FBLN5 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
7.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
53.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
43.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
41.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
30.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
29.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
29.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
28.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
28.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
26.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
25.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
24.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
22.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
22.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
22.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
20.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
20.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
19.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
19.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
19.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
18.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
18.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
18.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
16.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
16.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
16.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
16.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
15.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
15.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
15.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
14.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
14.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
13.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
13.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
13.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
13.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
13.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
12.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
12.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
12.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
12.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
12.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
12.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
12.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
11.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
11.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
11.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
11.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
11.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
10.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
10.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
10.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
10.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
10.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
10.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
10.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
10.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
10.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
9.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
9.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
9.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
9.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
9.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
9.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
9.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
9.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
9.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
9.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
9.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
9.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
8.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
8.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
8.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
8.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
8.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
8.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
8.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
7.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
7.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
7.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
7.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
7.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
7.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
7.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
7.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
7.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
7.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
7.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
7.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
7.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
6.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
6.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
6.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
6.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
6.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
6.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
6.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
6.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
6.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
6.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
6.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
6.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
6.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
6.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
6.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
6.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
6.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
6.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
6.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
5.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
5.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
5.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
5.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
5.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
5.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
5.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
5.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
5.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
5.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
5.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
5.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
5.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
5.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
5.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
4.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
4.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
4.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
4.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
4.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
4.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
4.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
4.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
4.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
4.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
4.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
4.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
4.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
4.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
4.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
4.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
4.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
4.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
3.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
3.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
3.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
3.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
3.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
3.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
3.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
3.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
3.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
3.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
3.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
3.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
3.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
3.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
3.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
3.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
3.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
3.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
3.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
3.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
3.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
3.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
3.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
2.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
2.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
2.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
2.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
2.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
2.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
2.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
2.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
2.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
0.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
FBLN5 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
15.4
Number of samples
486
Samples
Sample
Description
TPM
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
46.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
42.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
41.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
39.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
38.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
36.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
36.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
35.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
34.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
33.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
32.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
31.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
31.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
31.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
31.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
31.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
30.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
30.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
30.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
30.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
30.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
30.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
29.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
29.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
29.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
29.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
29.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
28.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
28.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
27.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
27.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
27.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
27.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
27.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
27.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
26.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
26.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
26.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
26.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
26.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
26.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
26.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
25.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
25.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
25.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
25.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
25.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
25.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
24.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
24.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
24.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
24.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
24.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
24.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
24.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
24.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
23.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
23.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
23.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
23.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
23.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
23.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
23.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
23.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
23.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
23.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
23.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
23.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
23.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
23.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
23.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
23.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
23.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
23.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
22.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
22.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
22.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
22.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
22.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
22.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
22.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
22.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
22.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
22.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
22.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
21.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
21.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
21.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
21.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
21.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
21.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
21.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
21.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
21.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
21.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
21.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
21.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
21.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
21.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
21.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
21.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
20.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
20.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
20.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
20.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
20.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
20.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
20.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
20.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
20.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
20.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
20.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
20.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
20.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
20.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
20.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
20.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
19.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
19.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
19.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
19.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
19.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
19.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
19.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
19.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
19.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
19.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
19.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
19.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
19.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
19.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
19.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
19.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
19.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
19.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
19.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
18.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
18.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
18.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
18.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
18.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
18.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
18.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
18.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
18.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
18.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
18.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
18.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
18.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
18.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
18.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
18.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
18.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
17.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
17.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
17.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
17.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
17.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
17.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
17.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
17.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
17.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
17.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
17.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
17.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
16.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
16.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
16.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
16.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
16.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
16.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
16.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
16.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
16.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
16.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
16.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
16.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
16.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
16.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
16.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
16.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
16.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
16.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
16.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
16.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
16.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
16.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
16.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
16.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
16.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
16.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
16.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
15.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
15.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
15.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
15.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
15.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
15.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
15.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
15.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
15.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
15.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
15.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
15.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
15.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
15.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
15.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
15.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
15.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
15.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
15.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
15.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
15.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
15.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
15.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
15.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
14.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
14.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
14.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
14.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
14.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
14.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
14.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
14.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
14.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
14.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
14.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
14.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
14.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
14.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
14.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
14.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
14.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
14.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
14.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
13.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
13.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
13.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
13.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
13.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
13.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
13.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
13.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
13.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
13.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
13.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
13.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
13.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
13.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
13.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
13.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
13.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
13.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
13.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
13.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
13.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
13.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
13.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
13.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
13.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
12.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
12.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
12.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
12.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
12.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
12.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
12.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
12.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
12.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
12.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
12.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
12.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
12.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
12.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
12.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
12.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
12.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
12.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
12.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
12.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
12.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
12.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
12.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
12.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
12.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
12.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
12.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
12.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
11.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
11.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
11.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
11.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
11.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
11.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
11.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
11.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
11.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
11.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
11.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
11.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
11.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
11.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
11.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
11.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
11.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
11.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
11.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
11.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
11.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
11.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
11.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
11.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
11.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
11.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
10.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
10.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
10.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
10.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
10.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
10.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
10.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
10.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
10.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
10.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
10.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
10.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
10.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
10.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
10.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
10.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
10.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
10.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
10.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
10.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
10.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
10.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
10.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
10.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
10.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
10.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
10.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
10.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
10.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
10.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
10.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
10.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
9.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
9.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
9.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
9.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
9.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
9.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
9.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
9.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
9.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
9.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
9.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
9.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
9.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
9.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
9.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
9.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
9.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
9.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
9.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
9.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
8.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
8.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
8.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
8.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
8.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
8.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
8.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
8.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
8.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
8.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
8.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
8.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
8.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
8.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
8.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
8.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
8.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
8.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
8.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
8.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
8.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
8.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
8.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
8.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
7.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
7.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
7.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
7.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
7.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
7.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
7.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
7.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
7.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
7.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
7.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
7.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
7.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
7.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
7.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
7.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
7.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
7.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
7.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
6.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
6.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
6.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
6.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
6.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
6.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
6.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
6.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
6.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
6.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
6.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
6.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
6.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
6.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
6.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
6.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
6.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
6.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
6.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
6.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
6.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
6.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
5.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
5.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
5.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
5.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
5.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
5.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
5.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
5.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
5.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
5.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
5.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
5.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
5.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
5.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
5.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
5.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
5.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
4.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
4.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
4.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
4.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
4.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
4.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
4.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
4.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
4.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
4.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
4.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
4.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
4.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
4.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
4.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
3.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
3.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
3.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
3.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
2.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
2.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
2.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
2.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
1.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FBLN5 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
9.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
37.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
30.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
30.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
29.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
27.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
24.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
24.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
23.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
22.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
20.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
20.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
18.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
17.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
16.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
16.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
15.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
14.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
14.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
13.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
13.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
11.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
10.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
10.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
10.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
9.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
9.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
8.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
8.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
8.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
8.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
8.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
8.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
8.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
7.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
7.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
7.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
7.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
7.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
7.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
6.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
6.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
6.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
6.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
6.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
6.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
5.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
5.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
5.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
5.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
5.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
5.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
5.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
5.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
4.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
4.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
4.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
4.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
4.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
4.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
4.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
4.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
4.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
4.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
3.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
3.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
2.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
2.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
2.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
2.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 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.
FBLN5 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
16.6
Number of samples
207
Samples
Sample
Description
TPM
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
80.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
66.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
55.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
51.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
49.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
48.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
43.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
42.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
38.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
37.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
37.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
36.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
36.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
36.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
35.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
34.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
34.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
33.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
32.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
31.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
31.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
31.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
30.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
29.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
29.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
27.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
27.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
26.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
26.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
25.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
25.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
24.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
24.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
23.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
23.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
22.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
22.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
22.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
21.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
21.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
21.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
20.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
20.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
20.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
20.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
20.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
19.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
19.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
19.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
19.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
19.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
19.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
19.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
19.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
19.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
18.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
18.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
18.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
18.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
18.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
18.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
18.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
17.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
17.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
17.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
17.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
17.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
17.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
16.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
16.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
16.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
16.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
15.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
15.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
15.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
15.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
15.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
15.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
14.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
14.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
14.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
14.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
14.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
14.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
14.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
14.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
14.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
14.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
13.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
13.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
13.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
13.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
13.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
13.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
13.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
13.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
13.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
13.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
12.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
12.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
12.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
12.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
12.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
12.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
11.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
11.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
11.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
11.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
11.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
11.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
11.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
11.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
11.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
11.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
11.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
11.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
11.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
11.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
11.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
11.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
11.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
10.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
10.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
10.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
10.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
10.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
10.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
10.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
10.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
10.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
10.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
10.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
10.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
10.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
10.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
10.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
9.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
9.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
9.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
9.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
9.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
9.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
9.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
9.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
9.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
9.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
8.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
8.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
8.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
8.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
8.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
8.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
8.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
8.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
8.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
8.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
8.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
8.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
8.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
7.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
7.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
7.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
7.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
7.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
7.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
7.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
7.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
6.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
6.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
6.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
6.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
6.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
6.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
6.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
6.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
6.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
6.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
5.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
5.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
5.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
5.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
5.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
5.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
4.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
4.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
4.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
4.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
4.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
4.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
4.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
4.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
3.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
3.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
3.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
2.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
2.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
2.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1.2
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
1.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
1.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
1.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
1.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
1.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
1.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
1.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.9
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.9
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.8
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.7
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.7
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.8
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.9
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.9
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-1.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.