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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.
LAMC1 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
24.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
143.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
93.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
80.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
78.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
69.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
63.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
63.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
55.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
54.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
54.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
53.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
52.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
52.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
48.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
48.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
46.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
46.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
46.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
46.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
45.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
43.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
42.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
42.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
41.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
41.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
40.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
39.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
39.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
39.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
39.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
39.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
38.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
38.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
37.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
37.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
37.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
37.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
36.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
36.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
36.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
36.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
35.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
35.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
35.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
34.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
33.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
33.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
32.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
32.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
32.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
32.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
31.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
31.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
31.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
31.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
31.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
31.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
29.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
29.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
28.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
28.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
28.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
28.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
28.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
28.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
28.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
28.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
27.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
27.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
27.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
27.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
27.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
26.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
26.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
26.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
26.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
25.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
25.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
25.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
25.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
25.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
25.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
25.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
25.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
25.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
25.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
25.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
25.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
24.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
24.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
24.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
24.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
24.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
24.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
23.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
23.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
23.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
23.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
23.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
22.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
22.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
22.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
22.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
21.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
21.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
21.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
21.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
21.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
21.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
21.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
21.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
21.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
21.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
21.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
21.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
21.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
20.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
20.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
20.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
20.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
20.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
20.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
20.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
20.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
20.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
20.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
20.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
20.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
20.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
20.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
19.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
19.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
19.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
19.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
19.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
19.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
19.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
18.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
18.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
18.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
18.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
18.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
18.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
18.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
18.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
18.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
18.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
18.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
18.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
17.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
17.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
17.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
17.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
17.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
17.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
16.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
16.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
16.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
16.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
16.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
16.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
16.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
15.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
15.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
15.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
15.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
15.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
15.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
15.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
15.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
15.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
15.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
15.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
15.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
15.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
15.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
14.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
14.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
14.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
14.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
14.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
14.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
14.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
14.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
14.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
14.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
14.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
13.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
13.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
13.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
13.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
12.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
12.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
12.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
12.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
12.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
12.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
12.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
12.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
12.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
12.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
11.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
11.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
11.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
11.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
11.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
11.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
11.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
11.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
11.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
11.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
10.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
10.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
10.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
10.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
10.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
10.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
9.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
9.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
9.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
9.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
8.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
8.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
7.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
7.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
7.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
6.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
6.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
6.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
5.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
LAMC1 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
50.3
Number of samples
486
Samples
Sample
Description
TPM
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
154.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
153.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
152.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
126.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
126.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
124.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
116.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
110.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
110.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
104.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
101.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
100.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
99.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
96.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
95.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
94.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
91.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
91.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
89.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
89.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
87.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
87.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
86.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
86.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
83.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
82.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
80.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
80.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
80.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
79.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
79.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
77.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
75.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
75.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
75.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
75.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
74.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
74.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
73.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
73.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
73.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
72.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
72.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
72.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
72.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
72.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
71.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
71.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
71.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
71.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
70.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
70.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
70.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
70.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
69.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
69.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
68.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
68.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
68.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
68.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
67.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
67.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
67.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
67.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
67.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
66.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
66.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
65.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
65.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
65.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
65.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
65.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
64.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
64.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
64.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
64.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
63.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
63.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
63.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
63.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
63.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
63.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
63.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
62.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
62.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
62.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
62.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
62.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
62.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
62.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
62.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
62.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
61.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
61.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
61.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
61.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
61.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
61.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
61.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
61.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
61.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
61.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
60.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
60.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
60.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
60.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
60.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
60.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
60.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
60.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
60.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
59.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
59.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
59.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
59.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
58.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
58.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
58.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
58.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
58.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
58.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
58.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
57.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
57.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
57.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
57.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
57.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
56.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
56.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
56.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
56.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
56.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
56.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
56.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
56.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
56.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
55.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
55.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
55.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
55.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
55.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
55.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
55.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
55.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
55.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
54.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
54.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
54.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
54.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
54.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
54.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
54.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
54.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
54.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
54.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
54.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
54.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
54.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
53.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
53.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
53.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
53.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
53.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
52.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
52.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
52.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
52.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
52.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
52.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
52.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
52.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
52.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
52.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
52.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
52.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
51.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
51.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
51.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
51.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
51.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
51.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
51.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
51.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
50.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
50.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
50.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
50.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
50.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
50.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
50.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
50.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
50.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
50.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
50.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
50.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
50.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
49.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
49.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
49.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
49.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
49.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
49.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
49.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
49.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
49.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
49.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
49.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
49.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
49.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
49.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
49.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
49.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
48.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
48.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
48.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
48.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
48.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
48.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
48.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
48.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
48.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
48.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
48.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
48.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
47.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
47.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
47.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
47.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
47.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
47.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
47.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
47.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
47.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
47.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
47.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
47.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
47.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
47.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
47.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
47.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
47.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
47.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
47.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
46.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
46.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
46.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
46.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
46.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
46.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
46.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
46.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
46.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
46.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
46.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
46.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
46.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
46.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
46.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
46.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
46.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
45.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
45.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
45.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
45.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
45.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
45.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
45.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
45.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
45.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
45.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
45.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
44.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
44.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
44.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
44.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
44.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
44.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
44.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
44.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
44.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
43.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
43.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
43.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
43.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
43.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
43.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
43.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
43.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
43.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
43.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
42.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
42.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
42.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
42.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
42.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
42.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
42.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
42.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
42.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
42.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
42.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
41.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
41.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
41.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
41.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
41.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
41.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
41.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
41.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
40.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
40.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
40.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
40.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
40.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
40.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
40.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
40.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
40.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
40.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
39.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
39.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
39.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
39.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
39.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
39.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
39.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
39.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
39.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
38.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
38.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
38.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
38.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
38.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
38.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
37.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
37.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
37.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
37.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
37.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
37.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
37.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
37.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
37.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
37.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
36.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
36.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
36.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
36.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
36.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
36.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
36.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
36.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
35.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
35.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
35.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
35.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
35.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
35.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
35.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
35.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
35.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
35.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
34.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
34.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
34.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
34.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
34.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
34.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
34.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
34.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
34.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
34.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
34.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
34.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
33.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
33.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
33.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
33.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
33.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
32.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
32.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
32.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
32.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
32.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
32.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
32.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
32.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
32.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
32.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
31.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
31.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
31.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
31.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
31.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
31.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
31.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
31.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
31.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
31.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
31.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
30.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
30.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
30.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
30.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
30.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
30.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
30.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
30.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
29.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
29.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
29.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
29.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
29.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
28.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
28.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
28.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
28.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
28.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
28.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
26.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
26.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
26.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
26.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
26.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
26.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
26.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
25.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
24.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
24.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
23.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
22.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
22.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
22.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
19.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
19.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
15.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LAMC1 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
26.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
109.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
60.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
57.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
55.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
54.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
53.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
53.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
52.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
49.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
48.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
48.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
43.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
42.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
39.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
38.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
35.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
35.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
34.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
34.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
34.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
34.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
33.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
32.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
31.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
31.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
30.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
29.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
29.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
28.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
28.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
27.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
27.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
25.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
25.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
25.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
24.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
24.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
23.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
23.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
23.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
23.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
23.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
22.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
21.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
21.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
21.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
20.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
20.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
20.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
19.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
19.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
19.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
19.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
19.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
19.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
19.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
19.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
18.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
17.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
17.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
17.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
16.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
16.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
16.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
16.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
15.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
15.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
15.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
14.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
12.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
12.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
11.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
10.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
10.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
10.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
10.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
10.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
10.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
10.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
9.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
8.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
7.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LAMC1 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
52.3
Number of samples
207
Samples
Sample
Description
TPM
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
128.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
128.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
122.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
114.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
110.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
105.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
104.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
104.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
100.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
97.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
95.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
95.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
93.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
93.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
92.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
91.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
91.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
90.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
88.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
86.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
85.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
84.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
84.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
84.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
82.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
79.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
78.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
77.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
77.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
75.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
74.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
74.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
74.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
72.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
71.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
71.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
70.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
70.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
70.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
69.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
68.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
67.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
67.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
66.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
66.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
66.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
66.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
65.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
65.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
65.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
64.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
64.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
63.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
63.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
62.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
61.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
61.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
60.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
60.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
59.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
58.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
57.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
57.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
57.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
56.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
56.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
56.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
55.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
55.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
55.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
54.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
53.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
53.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
53.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
52.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
52.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
52.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
52.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
52.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
52.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
52.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
52.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
52.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
51.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
51.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
51.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
51.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
51.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
50.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
50.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
50.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
50.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
50.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
50.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
49.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
49.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
49.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
48.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
47.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
47.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
47.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
46.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
46.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
46.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
46.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
45.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
45.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
45.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
44.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
44.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
43.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
43.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
43.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
43.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
43.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
42.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
42.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
42.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
42.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
41.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
41.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
41.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
41.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
41.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
40.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
39.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
39.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
39.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
39.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
39.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
39.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
39.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
39.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
38.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
38.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
37.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
37.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
37.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
37.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
37.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
37.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
37.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
37.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
36.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
36.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
36.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
36.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
36.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
35.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
35.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
35.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
35.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
35.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
35.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
34.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
34.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
34.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
34.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
33.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
33.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
33.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
32.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
32.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
31.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
31.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
30.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
30.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
29.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
29.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
29.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
29.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
28.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
27.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
27.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
27.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
27.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
26.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
26.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
26.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
24.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
24.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
21.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
19.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
18.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
17.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
1.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
1.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
1.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
1.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
1.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
1.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
1.0
41a04113-2061-4923-bca5-da586c_D2
Normal
1.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.9
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.9
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.9
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.9
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.8
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.8
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.8
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.8
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.8
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.7
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.7
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.7
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.8
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.9
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.9
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-1.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
