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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.
YY1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
31.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
74.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
73.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
59.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
54.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
52.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
50.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
50.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
50.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
50.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
49.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
48.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
48.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
48.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
47.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
46.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
45.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
43.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
43.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
43.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
43.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
42.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
42.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
42.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
42.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
42.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
41.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
41.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
41.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
41.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
41.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
40.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
40.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
40.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
40.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
40.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
39.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
39.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
39.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
39.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
39.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
38.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
38.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
38.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
38.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
38.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
38.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
37.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
37.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
37.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
37.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
37.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
37.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
37.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
37.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
36.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
36.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
36.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
36.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
36.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
36.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
36.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
36.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
36.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
35.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
35.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
35.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
35.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
35.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
35.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
34.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
34.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
34.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
34.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
34.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
34.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
34.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
34.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
33.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
33.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
33.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
33.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
33.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
33.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
33.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
32.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
32.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
32.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
32.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
32.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
32.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
32.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
32.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
32.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
32.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
32.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
32.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
32.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
32.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
32.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
32.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
32.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
31.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
31.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
31.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
31.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
31.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
31.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
31.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
31.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
31.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
31.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
31.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
30.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
30.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
30.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
30.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
30.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
30.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
30.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
30.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
30.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
30.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
30.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
30.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
30.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
30.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
30.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
29.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
29.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
29.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
29.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
29.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
29.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
29.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
29.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
29.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
29.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
29.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
29.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
28.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
28.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
28.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
28.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
28.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
28.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
28.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
28.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
28.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
28.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
28.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
28.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
27.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
27.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
27.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
27.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
27.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
27.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
27.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
27.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
27.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
27.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
27.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
27.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
26.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
26.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
26.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
26.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
26.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
26.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
26.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
26.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
26.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
26.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
25.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
25.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
25.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
25.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
25.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
25.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
25.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
25.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
25.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
25.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
25.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
25.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
25.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
25.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
25.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
25.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
24.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
24.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
24.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
24.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
24.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
24.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
24.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
24.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
24.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
24.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
23.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
23.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
23.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
23.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
23.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
23.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
23.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
23.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
23.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
23.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
23.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
23.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
23.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
22.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
22.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
22.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
22.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
22.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
22.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
22.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
22.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
22.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
21.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
21.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
21.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
21.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
20.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
20.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
20.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
20.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
20.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
20.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
19.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
19.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
19.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
18.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
18.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
18.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
18.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
18.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
17.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
17.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
YY1 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
39.3
Number of samples
486
Samples
Sample
Description
TPM
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
105.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
70.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
69.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
67.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
66.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
63.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
62.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
60.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
59.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
59.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
58.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
58.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
57.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
56.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
56.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
55.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
55.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
55.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
54.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
54.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
54.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
54.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
54.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
54.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
54.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
54.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
53.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
53.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
53.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
53.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
53.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
53.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
53.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
53.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
53.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
52.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
52.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
52.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
52.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
52.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
52.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
52.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
52.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
52.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
51.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
51.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
51.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
50.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
50.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
50.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
50.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
50.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
50.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
50.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
49.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
49.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
49.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
49.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
49.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
49.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
49.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
49.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
49.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
48.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
48.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
48.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
48.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
48.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
48.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
48.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
48.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
48.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
48.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
48.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
48.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
47.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
47.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
47.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
47.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
47.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
47.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
47.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
47.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
47.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
47.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
46.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
46.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
46.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
46.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
46.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
46.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
46.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
46.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
46.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
46.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
46.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
45.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
45.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
45.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
45.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
45.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
45.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
45.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
45.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
45.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
45.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
45.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
45.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
45.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
45.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
45.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
45.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
45.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
45.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
44.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
44.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
44.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
44.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
44.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
44.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
44.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
44.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
44.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
44.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
44.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
44.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
44.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
44.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
44.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
44.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
44.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
44.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
43.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
43.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
43.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
43.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
43.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
43.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
43.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
43.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
43.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
43.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
43.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
43.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
42.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
42.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
42.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
42.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
42.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
42.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
42.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
42.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
42.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
42.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
42.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
42.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
42.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
42.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
42.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
42.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
42.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
42.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
42.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
41.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
41.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
41.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
41.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
41.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
41.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
41.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
41.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
41.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
41.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
41.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
41.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
41.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
41.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
41.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
41.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
41.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
40.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
40.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
40.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
40.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
40.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
40.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
40.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
40.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
40.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
40.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
40.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
40.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
40.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
40.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
39.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
39.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
39.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
39.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
39.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
39.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
39.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
39.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
39.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
39.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
39.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
39.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
39.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
39.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
39.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
39.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
39.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
39.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
39.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
39.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
39.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
39.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
39.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
38.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
38.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
38.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
38.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
38.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
38.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
38.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
38.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
38.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
38.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
38.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
38.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
38.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
38.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
38.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
38.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
38.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
38.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
37.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
37.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
37.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
37.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
37.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
37.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
37.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
37.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
37.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
37.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
37.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
37.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
37.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
37.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
37.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
37.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
37.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
37.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
37.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
37.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
37.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
37.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
37.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
37.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
36.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
36.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
36.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
36.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
36.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
36.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
36.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
36.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
36.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
36.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
36.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
35.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
35.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
35.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
35.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
35.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
35.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
35.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
35.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
35.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
35.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
35.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
35.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
35.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
35.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
35.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
35.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
35.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
35.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
35.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
35.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
35.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
34.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
34.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
34.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
34.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
34.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
34.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
34.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
34.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
34.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
34.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
34.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
34.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
34.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
34.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
34.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
33.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
33.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
33.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
33.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
33.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
33.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
33.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
33.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
33.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
33.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
33.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
33.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
33.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
33.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
33.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
33.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
33.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
32.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
32.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
32.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
32.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
32.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
32.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
32.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
32.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
32.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
32.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
32.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
32.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
32.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
32.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
32.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
32.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
32.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
31.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
31.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
31.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
31.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
31.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
31.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
31.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
31.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
31.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
31.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
31.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
31.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
30.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
30.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
30.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
30.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
30.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
30.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
30.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
30.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
30.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
29.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
29.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
29.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
29.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
29.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
29.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
29.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
29.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
29.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
29.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
29.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
29.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
29.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
29.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
29.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
29.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
28.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
28.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
28.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
28.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
28.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
28.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
27.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
27.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
27.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
27.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
27.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
27.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
27.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
27.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
26.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
26.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
25.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
25.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
25.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
25.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
25.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
25.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
25.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
24.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
24.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
24.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
23.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
23.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
23.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
22.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
22.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
21.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
21.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
21.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
21.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
21.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
20.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
17.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
YY1 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
32.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
64.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
57.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
55.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
50.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
50.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
46.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
45.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
43.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
43.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
43.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
42.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
41.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
41.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
41.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
41.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
41.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
41.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
40.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
39.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
39.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
39.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
39.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
38.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
38.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
38.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
37.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
37.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
36.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
36.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
36.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
34.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
34.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
34.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
34.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
33.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
33.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
33.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
32.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
32.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
32.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
32.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
31.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
31.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
30.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
30.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
30.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
30.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
30.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
29.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
29.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
29.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
28.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
28.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
28.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
27.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
27.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
27.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
26.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
26.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
26.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
26.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
25.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
25.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
24.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
24.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
24.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
24.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
24.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
24.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
24.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
23.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
22.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
22.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
22.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
22.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
21.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
21.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
20.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
20.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
19.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
18.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
17.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
15.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
YY1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
37.1
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
63.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
63.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
61.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
60.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
58.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
56.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
56.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
56.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
56.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
54.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
54.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
53.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
53.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
53.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
52.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
51.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
50.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
50.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
50.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
49.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
49.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
48.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
48.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
47.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
47.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
46.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
46.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
46.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
45.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
45.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
45.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
45.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
44.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
44.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
44.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
44.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
44.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
43.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
43.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
43.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
43.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
42.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
42.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
42.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
42.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
41.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
41.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
41.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
41.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
41.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
41.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
41.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
41.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
41.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
41.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
40.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
40.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
40.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
40.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
39.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
39.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
39.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
39.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
38.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
38.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
38.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
38.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
37.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
37.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
37.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
37.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
37.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
37.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
37.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
37.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
37.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
37.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
37.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
36.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
36.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
36.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
36.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
35.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
35.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
35.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
35.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
35.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
35.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
35.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
35.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
34.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
34.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
34.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
34.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
34.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
33.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
33.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
33.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
33.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
33.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
33.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
33.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
33.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
33.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
33.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
33.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
33.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
33.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
32.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
32.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
32.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
32.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
32.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
32.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
31.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
31.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
31.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
31.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
31.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
31.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
31.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
31.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
30.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
30.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
30.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
30.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
30.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
29.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
29.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
29.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
29.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
29.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
29.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
29.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
29.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
28.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
28.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
28.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
28.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
28.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
27.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
26.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
26.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
25.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
25.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
25.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
25.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
25.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
24.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
23.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
23.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
22.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
20.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
17.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
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Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
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Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
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Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
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Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
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Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.1
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
