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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.
LRG1 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
15.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
54.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
50.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
46.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
45.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
43.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
41.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
40.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
40.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
39.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
38.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
36.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
35.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
34.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
33.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
33.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
33.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
32.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
32.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
31.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
30.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
30.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
30.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
29.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
29.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
28.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
28.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
28.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
28.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
28.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
27.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
27.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
26.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
26.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
26.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
26.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
26.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
26.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
25.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
25.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
25.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
24.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
24.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
24.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
24.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
24.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
24.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
24.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
24.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
23.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
23.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
23.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
22.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
22.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
22.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
22.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
22.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
22.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
22.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
22.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
21.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
21.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
21.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
21.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
21.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
21.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
20.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
20.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
20.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
20.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
20.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
20.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
20.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
19.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
19.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
19.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
19.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
19.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
19.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
19.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
19.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
19.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
19.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
19.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
19.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
19.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
18.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
18.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
18.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
18.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
17.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
17.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
17.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
17.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
17.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
17.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
17.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
16.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
16.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
16.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
16.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
16.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
16.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
16.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
16.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
16.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
16.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
16.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
16.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
16.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
15.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
15.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
14.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
14.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
14.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
14.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
14.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
14.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
14.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
14.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
14.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
14.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
14.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
14.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
13.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
13.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
13.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
13.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
13.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
13.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
13.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
12.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
12.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
12.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
12.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
12.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
12.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
12.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
12.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
11.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
11.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
11.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
11.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
11.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
11.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
11.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
11.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
11.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
10.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
10.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
10.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
10.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
10.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
10.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
10.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
10.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
10.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
10.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
9.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
9.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
9.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
9.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
9.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
9.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
9.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
9.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
9.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
9.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
8.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
8.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
8.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
8.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
8.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
8.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
8.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
8.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
7.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
7.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
7.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
7.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
7.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
6.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
6.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
6.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
6.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
6.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
6.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
6.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
6.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
6.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
6.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
6.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
6.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
5.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
5.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
5.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
5.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
5.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
5.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
5.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
4.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
4.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
4.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
4.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
4.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
4.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
4.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
3.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
3.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
3.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
3.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
3.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
3.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
2.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
2.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
2.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
2.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
2.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
2.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
2.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
2.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
2.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
1.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
0.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
0.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 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.
LRG1 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
13.1
Number of samples
486
Samples
Sample
Description
TPM
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
62.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
51.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
40.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
38.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
36.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
34.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
34.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
34.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
34.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
32.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
32.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
32.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
31.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
31.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
30.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
30.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
29.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
29.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
29.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
29.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
29.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
29.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
27.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
27.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
27.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
26.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
26.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
26.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
26.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
26.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
26.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
25.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
25.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
24.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
24.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
24.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
24.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
23.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
23.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
23.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
23.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
23.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
23.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
22.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
22.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
22.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
22.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
22.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
22.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
22.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
21.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
21.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
21.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
21.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
21.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
21.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
21.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
21.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
21.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
21.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
20.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
20.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
20.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
20.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
20.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
20.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
20.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
20.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
20.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
20.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
20.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
20.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
20.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
20.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
19.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
19.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
19.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
19.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
19.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
19.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
19.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
19.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
19.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
19.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
19.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
19.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
18.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
18.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
18.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
18.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
18.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
18.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
18.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
18.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
18.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
18.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
18.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
17.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
17.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
17.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
17.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
17.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
17.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
17.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
17.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
17.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
17.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
17.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
17.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
17.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
17.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
17.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
17.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
17.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
17.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
16.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
16.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
16.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
16.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
16.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
16.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
16.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
16.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
16.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
16.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
16.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
16.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
16.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
16.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
16.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
16.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
16.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
15.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
15.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
15.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
15.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
15.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
15.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
15.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
15.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
15.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
15.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
15.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
15.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
15.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
15.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
15.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
15.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
15.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
15.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
15.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
15.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
15.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
15.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
15.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
15.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
14.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
14.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
14.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
14.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
14.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
14.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
14.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
14.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
14.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
14.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
14.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
14.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
14.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
14.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
14.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
14.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
14.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
14.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
14.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
14.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
14.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
14.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
13.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
13.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
13.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
13.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
13.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
13.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
13.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
13.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
13.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
13.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
13.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
13.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
13.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
13.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
13.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
13.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
13.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
13.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
13.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
13.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
13.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
13.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
13.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
13.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
13.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
13.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
13.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
13.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
13.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
12.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
12.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
12.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
12.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
12.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
12.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
12.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
12.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
12.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
12.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
12.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
12.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
12.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
12.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
12.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
12.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
12.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
12.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
12.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
12.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
12.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
11.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
11.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
11.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
11.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
11.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
11.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
11.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
11.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
11.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
11.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
11.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
11.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
11.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
11.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
11.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
11.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
11.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
11.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
11.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
11.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
11.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
11.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
11.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
11.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
11.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
11.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
11.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
11.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
11.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
11.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
11.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
10.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
10.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
10.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
10.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
10.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
10.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
10.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
10.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
10.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
10.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
10.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
10.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
10.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
10.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
10.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
10.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
10.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
10.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
10.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
10.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
10.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
10.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
10.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
10.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
10.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
10.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
10.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
10.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
10.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
9.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
9.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
9.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
9.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
9.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
9.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
9.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
9.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
9.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
9.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
9.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
9.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
9.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
9.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
9.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
9.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
9.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
9.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
9.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
9.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
9.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
9.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
9.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
9.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
9.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
9.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
9.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
9.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
9.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
9.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
9.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
9.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
9.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
9.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
8.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
8.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
8.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
8.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
8.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
8.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
8.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
8.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
8.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
8.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
8.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
8.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
8.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
8.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
8.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
8.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
8.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
8.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
8.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
8.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
8.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
8.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
8.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
8.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
8.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
8.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
8.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
8.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
8.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
8.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
8.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
8.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
8.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
8.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
8.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
7.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
7.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
7.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
7.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
7.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
7.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
7.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
7.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
7.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
7.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
7.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
7.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
7.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
7.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
7.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
7.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
7.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
7.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
7.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
7.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
7.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
7.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
7.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
6.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
6.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
6.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
6.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
6.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
6.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
6.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
6.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
6.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
6.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
6.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
6.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
6.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
6.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
6.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
6.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
6.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
6.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
6.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
6.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
6.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
6.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
6.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
6.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
6.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
6.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
6.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
6.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
5.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
5.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
5.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
5.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
5.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
5.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
5.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
5.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
5.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
5.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
5.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
5.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
5.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
5.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
5.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
5.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
5.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
5.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
5.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
5.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
5.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
5.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
5.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
5.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
5.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
5.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
4.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
4.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
4.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
4.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
4.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
4.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
4.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
4.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
4.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
4.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
4.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
4.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
4.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
4.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
4.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
3.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
3.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
3.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
3.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
3.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
3.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
3.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
3.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
3.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
3.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
3.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
3.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
3.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
3.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
3.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
3.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
3.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
2.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
2.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
2.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
2.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
2.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
2.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
2.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
2.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
2.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
2.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
1.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
1.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LRG1 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
12.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
38.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
35.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
30.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
29.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
28.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
28.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
25.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
24.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
24.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
23.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
23.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
22.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
22.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
22.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
21.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
20.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
20.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
20.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
19.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
18.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
18.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
18.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
17.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
16.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
16.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
16.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
16.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
15.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
15.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
15.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
15.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
14.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
14.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
14.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
13.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
12.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
12.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
11.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
11.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
11.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
10.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
10.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
10.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
10.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
10.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
10.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
9.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
9.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
9.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
9.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
8.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
8.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
8.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
8.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
8.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
8.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
8.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
7.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
7.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
7.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
7.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
7.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
7.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
6.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
5.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
5.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
5.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
5.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
5.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
5.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
5.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
4.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
4.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
3.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
3.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
2.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
2.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
2.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
2.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
1.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
LRG1 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
11.4
Number of samples
207
Samples
Sample
Description
TPM
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
32.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
32.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
25.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
24.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
24.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
24.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
23.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
23.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
23.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
22.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
22.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
22.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
22.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
21.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
21.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
21.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
20.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
20.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
20.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
19.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
19.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
19.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
18.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
18.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
18.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
18.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
17.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
17.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
17.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
17.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
16.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
16.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
16.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
16.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
16.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
16.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
15.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
15.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
15.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
15.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
15.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
15.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
15.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
15.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
15.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
15.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
15.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
15.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
14.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
14.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
14.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
14.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
14.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
14.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
14.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
14.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
14.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
14.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
13.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
13.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
13.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
13.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
13.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
13.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
13.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
13.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
13.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
13.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
13.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
13.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
13.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
13.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
13.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
12.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
12.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
12.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
12.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
12.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
12.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
12.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
12.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
12.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
12.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
11.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
11.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
11.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
11.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
11.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
11.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
11.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
11.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
11.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
11.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
10.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
10.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
10.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
10.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
10.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
10.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
10.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
10.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
10.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
10.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
10.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
10.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
10.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
10.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
10.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
10.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
9.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
9.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
9.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
9.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
9.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
9.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
9.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
9.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
9.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
9.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
9.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
9.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
9.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
9.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
9.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
9.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
9.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
9.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
8.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
8.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
8.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
8.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
8.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
8.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
8.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
8.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
8.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
8.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
8.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
8.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
8.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
8.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
8.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
8.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
7.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
7.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
7.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
7.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
7.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
7.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
7.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
7.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
7.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
7.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
7.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
7.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
7.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
7.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
7.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
6.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
6.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
6.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
6.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
6.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
6.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
6.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
5.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
5.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
5.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
5.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
5.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
5.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
5.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
5.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
5.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
5.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
5.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
4.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
4.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
4.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
4.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
4.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
4.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
4.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
4.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
4.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
4.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
4.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
4.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
4.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
4.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
4.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
3.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
3.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
3.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
3.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
3.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
3.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
2.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
2.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
2.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
2.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
2.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
2.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
1.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
2.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
1.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.9
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
1.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
1.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
1.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
1.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
1.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
1.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
1.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
1.2
1c070992-647b-4173-a481-904c4d_D2
Normal
1.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
1.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
1.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
1.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
1.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
1.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
1.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.8
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.8
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.8
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.8
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.7
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.7
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.8
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.8
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.9
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-1.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-1.0
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-1.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-1.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-2.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-2.2
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
