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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
BCAS1 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
16.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
162.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
87.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
76.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
65.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
65.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
59.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
56.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
54.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
54.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
52.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
51.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
51.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
50.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
50.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
48.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
47.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
46.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
44.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
42.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
40.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
40.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
39.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
39.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
38.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
37.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
36.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
36.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
35.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
35.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
34.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
34.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
34.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
32.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
32.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
32.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
32.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
31.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
31.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
29.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
29.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
29.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
29.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
28.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
28.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
28.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
27.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
26.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
26.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
26.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
26.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
25.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
25.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
25.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
24.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
24.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
24.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
24.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
23.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
23.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
23.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
22.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
22.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
22.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
22.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
22.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
22.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
21.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
20.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
20.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
20.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
19.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
19.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
19.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
19.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
18.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
18.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
18.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
18.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
18.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
17.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
16.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
16.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
15.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
15.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
15.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
15.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
15.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
14.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
14.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
14.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
14.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
14.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
14.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
14.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
13.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
13.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
13.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
13.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
13.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
13.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
13.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
13.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
13.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
12.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
12.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
12.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
12.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
11.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
11.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
11.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
11.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
11.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
11.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
11.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
11.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
11.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
11.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
11.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
10.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
10.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
10.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
10.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
10.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
10.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
9.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
9.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
9.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
9.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
9.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
9.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
9.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
9.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
8.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
8.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
8.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
8.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
8.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
8.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
8.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
8.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
8.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
8.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
8.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
8.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
8.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
7.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
7.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
7.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
7.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
7.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
7.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
7.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
7.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
7.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
7.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
7.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
7.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
7.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
7.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
6.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
6.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
6.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
6.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
6.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
6.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
6.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
6.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
6.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
6.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
5.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
5.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
5.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
5.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
5.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
5.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
4.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
4.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
4.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
4.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
4.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
4.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
4.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
4.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
4.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
4.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
4.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
4.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
4.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
3.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
3.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
3.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
3.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
3.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
3.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
3.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
3.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
3.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
3.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
3.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
3.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
3.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
3.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
2.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
2.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
2.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
2.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
2.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
2.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
2.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
2.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
1.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
0.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
0.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
0.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
0.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 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.
BCAS1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
35.0
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
389.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
218.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
198.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
184.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
167.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
163.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
159.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
130.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
124.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
120.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
117.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
113.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
113.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
108.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
107.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
107.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
105.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
104.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
98.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
98.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
96.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
95.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
95.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
89.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
88.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
87.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
86.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
86.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
86.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
85.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
85.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
85.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
85.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
83.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
83.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
82.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
81.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
80.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
79.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
78.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
74.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
72.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
72.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
71.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
71.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
70.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
70.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
69.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
69.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
69.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
68.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
68.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
67.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
67.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
67.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
66.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
65.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
65.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
65.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
64.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
64.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
63.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
63.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
61.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
60.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
60.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
60.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
60.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
59.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
59.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
59.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
59.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
57.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
57.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
57.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
57.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
57.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
56.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
56.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
56.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
55.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
55.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
55.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
54.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
54.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
53.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
53.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
53.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
53.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
52.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
52.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
52.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
51.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
51.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
50.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
50.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
49.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
49.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
49.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
49.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
48.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
48.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
48.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
47.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
47.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
47.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
47.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
47.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
46.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
46.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
45.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
45.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
45.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
44.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
44.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
44.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
44.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
44.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
43.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
43.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
43.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
43.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
43.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
43.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
42.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
42.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
42.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
42.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
42.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
41.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
41.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
41.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
41.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
41.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
41.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
40.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
40.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
40.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
39.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
39.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
39.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
39.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
39.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
39.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
38.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
38.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
38.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
38.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
37.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
37.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
37.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
37.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
37.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
37.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
37.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
37.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
37.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
37.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
36.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
36.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
36.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
35.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
35.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
35.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
35.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
35.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
35.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
35.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
34.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
34.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
34.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
33.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
33.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
33.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
33.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
32.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
32.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
32.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
32.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
32.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
31.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
31.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
31.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
31.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
30.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
30.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
30.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
30.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
30.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
29.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
29.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
29.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
29.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
29.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
29.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
29.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
29.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
29.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
29.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
29.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
28.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
28.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
28.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
28.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
28.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
28.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
28.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
28.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
27.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
27.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
27.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
27.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
27.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
27.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
27.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
27.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
27.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
27.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
26.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
26.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
26.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
26.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
26.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
26.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
26.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
26.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
26.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
26.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
26.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
25.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
25.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
25.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
25.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
25.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
25.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
25.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
25.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
25.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
25.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
25.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
25.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
24.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
24.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
24.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
24.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
24.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
24.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
24.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
24.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
24.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
23.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
23.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
23.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
23.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
23.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
23.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
23.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
23.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
22.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
22.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
22.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
22.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
22.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
22.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
22.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
22.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
21.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
21.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
21.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
21.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
21.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
21.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
21.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
21.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
21.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
21.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
20.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
20.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
20.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
20.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
20.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
20.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
20.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
20.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
20.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
20.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
20.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
19.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
19.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
19.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
19.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
19.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
19.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
18.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
18.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
18.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
18.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
18.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
18.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
18.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
18.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
18.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
18.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
18.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
18.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
18.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
17.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
17.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
17.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
17.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
17.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
17.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
17.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
17.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
17.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
17.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
17.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
17.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
17.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
16.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
16.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
16.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
16.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
16.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
16.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
16.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
16.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
16.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
15.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
15.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
15.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
15.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
15.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
15.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
15.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
15.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
14.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
14.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
14.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
14.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
14.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
14.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
14.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
14.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
14.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
13.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
13.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
13.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
13.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
13.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
13.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
13.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
13.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
13.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
13.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
13.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
12.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
12.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
12.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
12.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
12.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
12.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
12.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
12.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
12.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
12.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
12.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
11.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
11.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
11.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
11.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
11.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
11.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
11.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
11.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
11.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
11.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
11.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
10.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
10.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
10.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
10.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
10.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
10.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
10.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
10.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
10.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
10.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
10.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
10.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
10.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
10.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
9.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
9.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
9.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
9.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
8.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
8.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
8.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
8.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
8.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
8.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
8.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
8.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
8.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
7.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
7.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
7.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
7.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
7.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
7.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
7.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
7.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
7.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
7.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
6.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
6.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
6.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
6.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
6.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
6.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
6.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
6.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
5.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
5.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
5.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
5.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
5.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
5.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
5.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
5.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
5.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
4.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
4.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
4.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
4.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
4.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
3.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
3.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
3.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
3.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
2.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
2.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
2.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
2.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
2.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
2.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
2.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
2.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
2.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
2.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
1.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
1.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
0.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 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.
BCAS1 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
17.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
121.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
92.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
70.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
67.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
57.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
48.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
44.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
42.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
40.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
38.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
35.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
33.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
32.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
29.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
26.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
25.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
25.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
23.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
23.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
22.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
22.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
21.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
21.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
21.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
19.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
19.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
19.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
16.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
16.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
15.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
15.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
14.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
14.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
13.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
12.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
11.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
11.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
11.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
11.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
11.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
11.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
11.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
11.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
10.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
10.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
9.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
9.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
8.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
7.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
7.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
7.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
7.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
7.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
7.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
6.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
6.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
6.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
5.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
5.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
4.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
4.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
4.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
4.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
4.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
3.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
3.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
2.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
2.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
0.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
0.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
BCAS1 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
41.3
Number of samples
207
Samples
Sample
Description
TPM
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
234.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
215.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
164.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
154.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
130.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
119.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
118.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
112.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
106.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
98.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
97.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
95.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
94.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
92.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
91.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
83.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
81.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
79.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
79.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
79.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
78.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
77.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
77.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
74.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
73.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
72.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
72.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
71.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
71.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
71.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
70.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
69.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
69.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
69.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
69.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
69.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
68.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
68.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
67.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
67.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
66.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
65.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
65.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
65.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
61.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
61.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
61.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
60.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
60.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
59.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
59.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
57.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
56.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
56.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
55.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
55.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
55.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
55.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
55.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
55.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
54.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
54.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
51.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
51.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
50.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
48.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
48.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
47.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
47.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
46.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
45.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
44.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
44.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
44.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
44.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
43.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
42.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
41.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
41.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
41.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
40.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
39.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
38.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
38.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
38.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
37.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
37.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
37.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
37.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
36.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
35.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
35.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
34.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
34.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
34.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
34.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
34.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
32.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
31.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
31.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
31.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
31.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
31.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
30.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
30.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
29.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
29.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
29.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
28.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
28.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
28.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
27.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
25.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
24.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
24.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
24.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
24.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
24.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
24.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
23.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
22.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
22.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
22.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
21.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
21.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
21.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
20.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
20.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
20.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
19.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
19.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
19.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
18.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
18.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
17.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
16.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
16.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
15.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
15.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
14.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
14.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
14.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
13.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
13.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
13.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
13.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
12.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
12.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
11.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
11.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
11.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
11.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
10.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
10.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
10.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
10.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
10.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
9.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
9.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
9.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
8.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
8.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
8.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
8.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
8.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
7.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
7.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
6.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
6.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
5.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
5.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
5.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
5.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
5.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
4.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
4.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
4.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
4.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
4.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
3.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
3.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
3.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
2.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
2.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
2.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
2.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
2.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
2.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
1.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
0.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
0.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
348f6009-e1be-44d2-a093-9ca844_D2
Normal
1.9
82157a70-12f1-4913-b548-d98881_D2
Normal
1.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
1.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
1.3
963fc8db-f412-4427-a198-23f660_D2
Normal
1.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
1.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
1.2
8cc7e656-0152-4359-8566-0581c3
Tumor
1.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
1.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
1.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
1.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
1.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
1.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
1.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
1.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
1.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
1.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.9
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.9
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.9
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.8
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.7
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.7
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.8
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.8
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.9
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.9
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-1.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-1.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-1.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-1.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-1.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-1.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-1.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-1.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-1.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-1.6
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-1.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-1.8
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-1.8
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-1.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.9
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-2.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-2.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-2.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-2.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-2.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-2.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-2.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-2.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-2.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-2.5
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.
The Human Protein Atlas project is funded
