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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.
PGRMC2 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
40.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
92.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
85.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
85.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
74.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
73.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
68.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
67.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
65.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
64.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
63.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
62.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
61.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
61.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
61.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
60.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
60.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
60.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
59.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
59.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
57.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
57.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
56.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
56.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
56.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
56.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
55.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
55.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
55.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
54.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
53.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
53.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
53.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
53.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
53.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
52.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
52.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
52.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
52.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
52.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
52.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
51.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
51.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
51.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
51.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
51.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
50.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
50.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
50.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
50.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
50.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
50.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
49.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
49.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
49.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
48.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
48.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
48.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
48.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
48.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
47.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
47.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
47.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
47.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
47.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
46.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
46.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
46.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
46.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
46.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
45.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
45.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
45.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
45.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
45.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
45.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
45.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
45.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
44.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
44.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
44.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
44.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
44.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
43.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
43.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
43.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
43.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
43.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
43.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
43.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
42.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
42.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
42.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
42.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
42.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
42.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
41.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
41.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
41.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
41.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
41.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
41.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
41.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
41.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
41.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
41.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
41.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
40.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
40.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
40.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
40.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
40.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
40.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
39.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
39.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
39.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
39.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
39.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
39.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
38.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
38.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
38.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
38.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
38.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
38.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
38.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
38.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
38.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
37.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
37.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
37.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
37.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
37.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
36.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
36.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
36.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
36.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
36.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
36.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
36.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
36.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
36.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
36.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
35.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
35.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
35.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
35.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
35.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
35.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
35.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
35.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
35.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
35.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
35.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
34.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
34.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
34.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
34.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
34.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
34.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
34.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
34.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
34.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
34.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
34.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
34.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
33.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
33.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
33.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
33.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
33.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
33.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
33.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
33.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
33.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
32.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
32.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
32.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
32.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
32.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
32.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
32.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
32.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
32.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
32.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
32.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
32.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
32.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
32.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
32.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
32.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
31.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
31.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
31.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
31.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
31.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
31.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
31.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
31.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
30.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
30.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
30.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
30.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
30.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
30.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
29.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
29.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
29.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
29.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
28.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
28.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
28.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
28.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
28.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
28.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
28.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
27.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
27.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
27.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
27.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
26.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
26.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
26.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
26.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
26.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
26.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
26.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
26.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
26.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
25.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
24.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
24.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
24.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
24.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
24.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
23.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
23.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
23.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
22.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
22.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
21.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
21.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
21.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
20.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
16.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 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.
PGRMC2 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
40.1
Number of samples
486
Samples
Sample
Description
TPM
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
71.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
65.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
63.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
62.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
61.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
61.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
60.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
60.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
58.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
58.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
58.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
57.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
57.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
57.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
57.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
56.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
56.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
56.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
55.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
55.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
55.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
55.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
55.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
54.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
54.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
54.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
54.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
54.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
53.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
53.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
53.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
52.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
52.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
52.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
52.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
52.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
52.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
52.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
52.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
51.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
51.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
51.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
51.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
51.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
51.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
51.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
50.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
50.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
50.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
50.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
50.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
50.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
50.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
50.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
50.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
50.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
49.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
49.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
49.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
49.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
49.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
49.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
49.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
49.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
49.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
49.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
49.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
49.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
49.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
49.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
48.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
48.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
48.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
48.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
48.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
48.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
48.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
48.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
48.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
48.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
48.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
48.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
48.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
48.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
48.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
47.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
47.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
47.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
47.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
47.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
47.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
47.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
47.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
47.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
47.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
47.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
46.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
46.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
46.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
46.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
46.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
46.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
46.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
46.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
46.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
46.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
46.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
46.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
46.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
46.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
46.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
46.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
46.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
46.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
45.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
45.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
45.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
45.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
45.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
45.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
45.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
45.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
45.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
45.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
45.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
45.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
45.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
44.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
44.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
44.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
44.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
44.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
44.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
44.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
44.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
44.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
44.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
44.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
44.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
44.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
44.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
44.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
44.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
44.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
44.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
44.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
44.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
44.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
44.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
44.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
44.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
44.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
44.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
43.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
43.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
43.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
43.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
43.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
43.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
42.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
42.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
42.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
42.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
42.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
42.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
42.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
42.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
42.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
42.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
42.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
42.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
42.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
42.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
42.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
42.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
42.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
42.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
42.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
42.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
42.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
42.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
41.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
41.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
41.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
41.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
41.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
41.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
41.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
41.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
41.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
41.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
41.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
41.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
41.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
41.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
41.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
41.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
41.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
41.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
40.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
40.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
40.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
40.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
40.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
40.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
40.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
40.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
40.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
40.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
40.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
40.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
39.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
39.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
39.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
39.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
39.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
39.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
39.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
39.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
39.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
39.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
39.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
39.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
39.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
39.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
39.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
39.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
39.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
39.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
39.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
39.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
39.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
39.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
39.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
39.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
39.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
39.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
39.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
39.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
38.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
38.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
38.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
38.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
38.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
38.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
38.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
38.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
38.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
38.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
38.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
38.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
38.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
38.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
38.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
38.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
38.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
38.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
38.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
38.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
38.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
38.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
38.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
37.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
37.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
37.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
37.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
37.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
37.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
37.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
37.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
37.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
37.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
37.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
37.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
37.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
37.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
37.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
37.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
37.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
37.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
37.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
36.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
36.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
36.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
36.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
36.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
36.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
36.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
36.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
36.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
36.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
36.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
36.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
36.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
36.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
36.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
36.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
36.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
35.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
35.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
35.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
35.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
35.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
35.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
35.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
35.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
35.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
35.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
35.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
35.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
35.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
35.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
35.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
35.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
35.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
35.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
34.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
34.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
34.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
34.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
34.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
34.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
34.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
34.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
34.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
34.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
34.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
34.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
34.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
34.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
33.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
33.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
33.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
33.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
33.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
33.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
33.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
33.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
33.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
33.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
33.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
33.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
32.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
32.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
32.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
32.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
32.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
32.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
32.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
32.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
32.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
32.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
32.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
32.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
32.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
32.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
32.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
31.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
31.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
31.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
31.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
31.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
31.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
31.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
31.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
31.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
31.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
31.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
31.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
31.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
31.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
30.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
30.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
30.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
30.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
30.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
30.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
30.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
30.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
30.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
29.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
29.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
29.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
29.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
29.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
29.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
29.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
29.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
28.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
28.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
28.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
28.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
28.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
28.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
28.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
28.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
28.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
28.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
28.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
28.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
27.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
27.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
27.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
27.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
27.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
27.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
27.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
26.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
26.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
25.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
25.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
25.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
25.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
23.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
23.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
23.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
23.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
22.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
22.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
22.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
22.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
20.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
17.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.3
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.
PGRMC2 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
41.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
66.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
65.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
64.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
61.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
61.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
60.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
58.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
54.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
54.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
54.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
53.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
53.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
53.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
52.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
52.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
52.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
50.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
50.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
49.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
49.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
49.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
49.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
48.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
48.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
48.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
47.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
47.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
47.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
47.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
46.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
46.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
46.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
45.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
45.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
44.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
43.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
43.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
43.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
43.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
43.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
42.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
41.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
40.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
40.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
40.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
40.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
40.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
40.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
39.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
39.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
39.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
39.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
39.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
38.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
38.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
38.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
37.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
37.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
36.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
35.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
35.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
35.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
34.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
34.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
33.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
33.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
33.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
31.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
31.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
30.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
30.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
29.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
29.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
29.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
29.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
28.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
27.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
27.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
27.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
25.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
24.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
24.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
21.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
20.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
15.8
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.
PGRMC2 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
37.1
Number of samples
207
Samples
Sample
Description
TPM
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
65.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
61.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
60.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
58.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
58.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
57.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
54.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
53.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
52.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
52.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
51.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
51.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
50.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
50.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
50.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
49.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
49.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
48.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
47.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
47.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
47.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
47.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
47.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
47.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
47.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
46.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
46.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
46.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
46.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
46.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
45.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
45.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
45.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
44.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
44.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
44.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
44.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
43.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
43.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
43.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
43.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
43.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
43.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
43.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
43.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
42.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
42.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
42.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
42.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
42.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
42.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
42.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
42.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
42.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
42.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
41.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
41.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
41.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
41.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
41.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
41.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
40.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
40.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
40.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
40.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
39.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
39.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
39.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
39.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
39.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
39.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
39.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
39.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
39.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
39.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
39.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
39.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
39.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
39.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
38.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
38.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
38.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
38.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
38.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
38.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
38.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
38.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
38.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
38.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
37.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
37.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
37.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
37.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
37.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
37.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
36.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
36.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
36.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
36.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
36.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
36.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
35.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
35.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
35.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
35.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
35.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
35.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
34.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
34.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
34.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
34.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
34.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
34.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
34.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
34.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
33.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
32.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
32.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
32.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
32.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
32.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
32.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
32.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
32.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
32.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
32.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
32.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
31.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
31.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
31.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
31.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
31.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
31.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
30.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
30.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
30.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
30.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
29.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
29.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
29.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
29.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
29.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
29.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
29.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
28.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
28.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
28.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
28.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
28.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
28.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
27.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
27.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
27.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
27.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
25.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
25.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
25.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
25.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
24.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
24.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
23.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
22.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
22.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
22.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
21.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
20.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
20.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
20.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
19.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
19.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
13.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
12.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-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
