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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.
ERLIN1 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
31.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
68.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
68.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
66.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
63.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
62.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
60.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
57.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
57.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
56.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
56.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
55.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
54.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
54.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
53.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
53.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
53.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
50.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
50.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
50.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
49.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
48.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
48.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
48.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
48.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
48.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
48.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
48.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
47.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
46.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
46.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
45.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
45.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
44.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
44.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
43.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
42.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
42.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
42.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
42.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
41.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
41.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
41.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
41.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
41.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
40.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
40.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
40.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
40.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
40.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
40.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
40.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
40.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
40.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
39.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
39.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
39.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
39.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
39.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
39.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
38.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
38.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
38.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
38.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
38.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
38.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
38.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
38.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
37.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
37.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
37.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
37.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
37.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
37.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
36.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
36.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
36.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
36.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
36.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
36.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
36.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
35.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
35.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
35.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
35.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
35.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
34.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
34.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
34.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
34.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
34.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
34.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
34.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
34.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
34.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
33.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
33.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
33.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
33.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
33.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
32.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
32.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
32.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
32.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
32.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
32.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
32.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
32.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
31.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
31.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
31.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
31.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
31.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
31.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
31.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
31.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
30.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
30.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
30.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
30.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
30.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
30.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
30.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
30.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
30.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
29.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
29.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
29.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
29.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
29.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
29.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
29.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
29.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
29.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
29.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
28.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
28.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
28.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
28.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
28.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
27.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
27.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
27.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
27.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
27.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
27.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
27.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
27.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
27.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
27.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
27.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
27.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
27.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
26.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
26.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
26.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
26.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
26.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
26.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
26.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
26.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
26.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
26.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
26.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
25.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
25.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
25.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
25.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
25.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
25.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
25.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
25.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
25.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
25.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
25.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
25.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
25.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
25.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
24.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
24.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
24.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
24.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
24.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
23.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
23.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
23.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
23.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
23.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
23.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
23.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
23.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
23.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
23.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
23.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
22.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
22.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
22.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
22.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
22.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
22.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
22.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
22.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
22.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
21.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
21.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
21.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
21.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
21.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
21.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
20.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
20.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
20.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
20.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
20.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
19.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
19.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
19.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
19.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
18.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
18.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
18.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
18.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
18.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
17.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
17.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
17.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
17.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
16.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
16.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
16.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
16.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
16.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
16.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
15.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
15.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
14.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
14.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
14.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
14.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
13.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
13.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
13.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
13.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
12.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
12.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
ERLIN1 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
45.5
Number of samples
486
Samples
Sample
Description
TPM
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
126.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
88.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
87.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
87.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
86.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
84.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
83.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
82.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
80.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
77.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
77.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
77.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
77.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
75.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
75.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
74.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
74.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
73.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
72.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
72.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
71.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
70.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
70.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
70.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
69.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
69.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
69.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
67.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
66.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
66.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
66.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
66.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
66.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
65.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
65.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
65.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
64.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
64.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
64.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
64.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
64.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
63.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
63.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
63.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
63.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
63.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
63.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
62.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
62.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
62.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
62.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
62.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
62.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
62.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
62.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
61.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
61.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
60.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
60.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
60.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
60.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
60.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
60.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
59.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
59.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
59.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
58.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
58.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
58.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
58.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
58.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
57.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
57.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
57.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
57.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
57.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
57.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
56.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
56.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
56.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
56.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
56.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
56.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
56.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
56.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
55.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
55.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
55.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
55.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
55.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
55.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
55.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
54.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
54.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
54.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
54.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
54.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
54.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
54.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
54.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
53.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
53.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
53.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
53.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
53.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
53.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
53.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
53.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
53.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
53.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
53.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
52.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
52.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
52.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
52.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
52.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
52.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
52.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
52.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
52.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
52.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
52.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
51.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
51.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
51.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
51.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
51.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
51.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
51.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
51.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
51.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
51.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
51.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
51.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
51.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
50.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
50.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
50.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
50.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
50.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
50.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
50.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
50.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
50.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
50.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
50.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
49.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
49.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
49.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
49.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
49.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
49.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
49.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
49.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
49.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
49.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
49.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
49.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
49.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
49.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
48.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
48.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
48.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
48.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
48.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
48.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
48.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
48.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
48.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
48.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
48.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
48.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
48.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
47.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
47.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
47.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
47.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
47.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
47.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
47.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
47.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
46.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
46.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
46.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
46.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
46.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
46.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
46.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
46.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
46.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
46.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
46.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
46.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
45.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
45.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
45.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
45.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
45.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
45.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
45.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
45.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
45.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
45.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
45.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
45.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
45.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
45.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
45.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
44.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
44.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
44.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
44.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
44.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
44.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
44.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
44.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
44.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
44.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
44.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
44.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
44.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
44.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
44.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
43.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
43.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
43.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
43.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
43.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
43.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
43.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
43.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
43.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
43.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
43.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
43.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
43.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
42.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
42.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
42.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
42.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
42.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
42.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
42.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
42.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
42.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
42.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
42.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
42.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
42.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
42.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
42.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
41.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
41.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
41.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
41.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
41.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
41.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
41.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
41.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
41.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
41.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
41.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
41.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
41.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
41.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
41.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
41.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
41.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
41.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
41.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
40.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
40.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
40.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
40.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
40.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
40.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
40.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
40.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
40.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
40.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
40.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
40.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
40.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
40.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
40.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
39.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
39.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
39.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
39.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
39.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
39.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
39.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
39.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
39.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
39.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
39.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
39.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
39.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
39.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
39.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
39.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
39.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
39.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
39.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
38.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
38.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
38.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
38.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
38.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
38.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
38.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
38.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
38.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
37.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
37.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
37.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
37.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
37.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
37.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
37.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
37.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
37.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
37.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
37.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
37.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
37.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
37.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
36.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
36.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
36.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
36.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
36.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
36.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
36.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
36.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
36.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
36.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
36.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
36.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
36.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
36.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
36.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
36.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
36.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
35.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
35.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
35.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
35.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
35.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
35.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
35.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
35.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
35.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
34.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
34.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
34.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
34.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
34.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
34.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
34.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
34.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
34.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
34.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
34.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
34.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
34.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
33.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
33.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
33.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
33.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
33.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
33.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
33.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
32.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
32.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
32.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
32.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
32.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
32.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
32.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
32.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
31.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
31.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
31.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
31.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
31.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
31.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
30.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
30.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
30.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
30.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
30.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
30.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
30.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
29.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
29.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
29.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
28.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
28.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
28.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
28.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
28.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
27.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
27.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
27.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
27.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
26.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
26.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
25.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
24.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
24.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
24.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
24.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
24.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
24.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
24.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
24.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
24.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
23.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
23.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
20.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
19.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
17.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
17.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.3
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.
ERLIN1 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
30.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
61.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
49.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
47.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
45.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
44.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
44.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
44.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
43.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
43.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
42.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
42.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
40.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
40.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
40.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
40.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
39.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
39.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
38.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
38.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
37.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
37.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
36.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
36.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
35.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
35.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
35.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
35.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
35.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
35.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
34.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
34.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
34.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
34.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
33.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
33.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
33.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
32.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
32.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
32.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
31.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
31.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
31.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
30.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
30.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
30.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
29.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
29.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
29.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
29.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
28.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
28.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
27.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
27.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
27.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
27.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
26.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
26.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
26.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
25.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
25.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
25.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
24.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
24.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
24.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
24.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
24.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
23.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
23.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
22.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
21.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
21.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
20.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
20.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
20.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
19.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
18.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
17.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
17.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
16.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
15.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
14.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
12.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.6
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.
ERLIN1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
41.1
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
88.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
72.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
66.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
64.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
63.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
62.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
60.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
60.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
59.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
59.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
59.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
58.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
58.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
58.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
58.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
57.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
57.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
56.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
56.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
56.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
55.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
55.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
55.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
54.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
54.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
53.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
53.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
53.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
53.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
52.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
52.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
52.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
52.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
52.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
52.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
52.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
51.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
51.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
51.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
51.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
51.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
51.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
50.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
50.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
50.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
49.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
49.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
49.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
48.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
48.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
48.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
48.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
48.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
47.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
47.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
47.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
47.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
47.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
47.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
46.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
46.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
46.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
46.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
46.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
46.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
46.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
45.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
45.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
45.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
45.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
45.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
44.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
44.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
44.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
44.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
44.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
44.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
44.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
44.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
44.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
43.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
43.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
42.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
42.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
42.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
42.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
42.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
42.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
41.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
41.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
41.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
40.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
40.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
40.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
40.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
40.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
40.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
39.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
39.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
39.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
39.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
39.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
39.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
38.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
38.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
37.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
37.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
37.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
37.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
37.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
37.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
37.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
37.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
36.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
36.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
36.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
36.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
35.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
35.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
35.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
35.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
34.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
34.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
34.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
33.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
33.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
33.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
33.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
33.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
33.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
33.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
32.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
32.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
32.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
31.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
31.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
31.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
31.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
30.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
30.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
30.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
30.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
29.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
29.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
29.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
29.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
29.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
29.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
28.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
28.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
28.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
27.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
27.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
27.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
27.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
27.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
27.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
27.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
27.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
26.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
26.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
26.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
26.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
25.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
25.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
25.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
24.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
24.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
23.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
22.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
22.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
19.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
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Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
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Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
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Tumor
0.2
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Normal
0.1
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Tumor
0.1
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Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
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Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
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Normal
0.1
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Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
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Normal
0.1
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Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
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Tumor
0.1
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Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
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Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
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Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
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Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
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Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
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Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
