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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.
PCDH1 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
28.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
89.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
81.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
72.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
70.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
58.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
58.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
55.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
55.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
55.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
53.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
53.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
51.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
51.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
50.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
50.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
49.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
48.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
47.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
46.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
46.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
46.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
45.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
45.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
45.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
44.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
44.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
44.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
44.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
44.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
43.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
43.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
42.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
42.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
41.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
41.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
41.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
41.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
41.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
40.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
40.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
40.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
39.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
39.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
38.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
38.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
38.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
38.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
37.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
37.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
37.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
37.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
37.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
37.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
37.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
36.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
36.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
36.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
36.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
36.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
36.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
36.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
35.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
35.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
35.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
35.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
35.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
35.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
35.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
35.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
35.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
34.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
34.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
34.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
34.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
34.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
34.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
33.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
33.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
33.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
33.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
33.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
32.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
32.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
31.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
31.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
31.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
31.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
31.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
31.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
31.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
31.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
31.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
31.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
31.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
30.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
30.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
30.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
30.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
30.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
29.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
29.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
29.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
29.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
29.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
29.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
28.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
28.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
28.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
28.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
28.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
28.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
28.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
28.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
27.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
27.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
27.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
27.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
27.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
27.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
26.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
26.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
26.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
26.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
26.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
26.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
26.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
26.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
26.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
26.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
26.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
25.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
25.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
25.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
25.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
25.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
25.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
25.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
25.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
24.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
24.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
24.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
24.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
24.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
24.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
24.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
24.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
24.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
23.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
23.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
23.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
23.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
23.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
23.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
23.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
23.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
23.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
23.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
22.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
22.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
22.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
22.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
22.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
22.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
22.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
21.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
21.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
21.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
21.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
21.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
21.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
21.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
21.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
21.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
21.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
20.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
20.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
20.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
20.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
20.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
20.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
20.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
20.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
19.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
19.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
19.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
19.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
19.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
19.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
19.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
19.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
19.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
18.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
18.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
18.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
18.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
18.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
18.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
17.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
17.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
17.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
16.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
16.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
16.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
16.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
16.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
16.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
16.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
16.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
16.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
16.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
16.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
16.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
16.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
16.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
15.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
15.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
15.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
15.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
15.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
14.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
14.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
14.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
14.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
14.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
13.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
13.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
13.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
13.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
13.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
12.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
12.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
11.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
11.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
10.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
10.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
10.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
10.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
8.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
8.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
8.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
6.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PCDH1 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
36.7
Number of samples
486
Samples
Sample
Description
TPM
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
93.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
91.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
82.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
77.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
76.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
75.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
75.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
73.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
72.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
72.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
72.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
71.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
71.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
69.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
67.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
63.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
63.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
63.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
63.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
63.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
62.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
61.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
61.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
61.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
61.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
60.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
59.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
59.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
59.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
58.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
58.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
58.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
58.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
57.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
57.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
56.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
56.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
55.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
55.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
55.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
54.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
54.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
54.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
54.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
54.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
53.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
53.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
53.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
52.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
52.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
52.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
52.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
52.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
51.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
51.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
51.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
51.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
50.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
50.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
50.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
50.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
50.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
50.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
50.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
50.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
50.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
49.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
49.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
49.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
49.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
49.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
49.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
49.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
49.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
48.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
48.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
48.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
48.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
48.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
48.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
47.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
47.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
47.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
47.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
47.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
47.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
47.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
46.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
46.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
46.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
46.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
46.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
46.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
46.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
45.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
45.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
45.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
45.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
45.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
45.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
45.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
45.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
44.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
44.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
44.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
44.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
44.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
44.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
44.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
44.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
44.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
44.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
44.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
44.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
44.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
43.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
43.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
43.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
43.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
43.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
42.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
42.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
42.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
42.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
42.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
42.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
42.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
42.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
42.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
42.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
42.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
42.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
41.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
41.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
41.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
41.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
41.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
41.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
41.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
41.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
41.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
41.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
41.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
41.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
41.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
40.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
40.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
40.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
40.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
40.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
40.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
40.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
40.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
40.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
40.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
39.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
39.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
39.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
39.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
39.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
39.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
39.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
39.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
39.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
39.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
39.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
39.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
39.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
39.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
38.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
38.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
38.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
38.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
38.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
38.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
38.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
38.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
38.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
38.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
38.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
38.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
38.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
38.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
38.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
38.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
38.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
37.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
37.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
37.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
37.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
37.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
37.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
36.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
36.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
36.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
36.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
36.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
36.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
36.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
36.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
36.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
36.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
36.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
36.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
36.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
36.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
36.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
36.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
35.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
35.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
35.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
35.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
35.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
35.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
35.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
35.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
35.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
35.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
34.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
34.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
34.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
34.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
34.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
34.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
34.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
34.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
34.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
34.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
34.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
34.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
34.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
34.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
34.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
34.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
33.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
33.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
33.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
33.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
33.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
33.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
33.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
33.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
33.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
33.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
33.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
33.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
33.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
33.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
33.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
33.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
33.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
33.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
33.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
33.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
33.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
32.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
32.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
32.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
32.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
32.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
32.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
32.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
32.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
32.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
32.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
32.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
32.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
32.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
32.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
31.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
31.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
31.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
31.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
31.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
31.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
31.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
30.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
30.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
30.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
30.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
30.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
30.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
30.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
30.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
29.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
29.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
29.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
29.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
29.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
29.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
29.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
29.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
29.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
29.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
29.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
28.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
28.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
28.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
28.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
28.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
28.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
28.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
28.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
28.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
28.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
28.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
28.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
28.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
27.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
27.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
27.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
27.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
27.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
27.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
27.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
27.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
27.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
27.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
26.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
26.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
26.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
26.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
26.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
26.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
26.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
26.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
26.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
26.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
26.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
26.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
26.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
26.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
26.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
26.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
26.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
26.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
26.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
26.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
25.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
25.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
25.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
25.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
25.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
25.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
25.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
25.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
25.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
24.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
24.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
24.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
24.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
24.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
24.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
24.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
24.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
24.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
24.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
24.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
24.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
23.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
23.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
23.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
23.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
23.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
23.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
23.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
23.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
23.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
23.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
23.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
23.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
23.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
23.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
23.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
23.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
22.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
22.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
22.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
22.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
22.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
22.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
22.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
22.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
21.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
21.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
21.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
21.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
21.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
21.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
21.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
21.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
21.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
21.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
20.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
20.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
20.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
20.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
20.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
19.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
19.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
19.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
19.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
19.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
19.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
18.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
18.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
18.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
18.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
18.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
18.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
17.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
17.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
17.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
16.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
16.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
16.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
15.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
15.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
14.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
14.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
13.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
13.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
11.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
11.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
11.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
10.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
9.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
9.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
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.
PCDH1 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
29.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
71.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
64.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
62.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
59.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
52.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
51.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
50.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
44.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
43.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
42.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
42.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
42.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
42.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
40.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
39.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
39.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
39.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
39.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
38.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
37.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
36.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
35.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
35.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
35.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
35.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
34.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
34.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
34.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
34.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
34.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
34.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
33.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
33.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
31.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
31.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
31.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
31.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
31.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
30.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
30.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
29.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
29.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
28.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
28.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
27.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
27.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
27.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
27.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
27.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
27.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
27.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
26.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
26.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
25.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
25.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
25.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
25.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
24.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
24.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
23.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
23.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
22.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
22.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
21.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
21.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
21.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
20.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
19.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
19.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
18.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
17.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
17.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
16.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
15.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
15.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
15.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
14.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
12.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
10.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
10.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
9.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
9.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
8.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 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.
PCDH1 is potential prognostic, high expression is unfavorable 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
35.7
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
78.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
75.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
72.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
72.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
69.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
67.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
66.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
65.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
62.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
62.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
62.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
55.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
55.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
54.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
54.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
54.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
53.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
50.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
50.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
50.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
50.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
49.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
49.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
48.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
48.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
48.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
48.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
47.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
47.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
47.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
47.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
47.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
46.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
46.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
46.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
45.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
45.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
45.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
45.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
44.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
44.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
44.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
44.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
43.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
43.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
43.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
42.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
42.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
42.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
42.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
42.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
42.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
41.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
41.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
41.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
41.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
41.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
41.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
40.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
40.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
39.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
39.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
39.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
39.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
38.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
38.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
38.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
38.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
38.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
37.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
37.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
37.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
37.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
37.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
36.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
36.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
36.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
35.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
35.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
35.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
35.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
35.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
35.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
34.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
34.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
34.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
34.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
34.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
34.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
33.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
33.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
33.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
33.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
33.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
33.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
32.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
32.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
32.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
32.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
32.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
31.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
31.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
30.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
30.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
30.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
30.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
30.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
30.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
30.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
30.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
30.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
30.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
29.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
29.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
29.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
29.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
29.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
29.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
29.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
29.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
29.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
28.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
28.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
28.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
28.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
28.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
28.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
28.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
28.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
27.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
27.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
27.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
27.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
27.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
27.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
27.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
26.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
26.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
26.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
25.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
25.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
25.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
25.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
25.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
25.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
25.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
24.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
24.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
24.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
24.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
24.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
24.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
23.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
23.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
22.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
22.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
22.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
22.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
22.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
21.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
21.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
21.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
21.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
20.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
20.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
20.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
20.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
20.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
19.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
19.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
19.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
18.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
18.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
17.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
17.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
15.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
15.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
15.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
12.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
1.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.8
963fc8db-f412-4427-a198-23f660_D2
Normal
0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
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Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
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Tumor
0.0
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
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Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
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Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
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Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
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Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
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Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
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Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
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Normal
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
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Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
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Tumor
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
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
