We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
HYOU1 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
39.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
108.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
94.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
89.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
80.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
80.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
79.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
78.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
75.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
74.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
74.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
73.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
72.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
70.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
70.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
70.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
69.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
66.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
63.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
61.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
60.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
59.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
58.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
58.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
58.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
58.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
58.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
57.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
57.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
57.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
57.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
55.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
54.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
53.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
52.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
52.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
52.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
52.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
52.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
52.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
52.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
51.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
50.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
50.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
50.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
50.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
50.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
49.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
49.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
49.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
49.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
48.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
48.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
48.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
48.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
48.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
48.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
47.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
47.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
47.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
47.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
47.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
47.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
46.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
46.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
46.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
46.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
46.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
45.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
45.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
45.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
45.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
45.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
44.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
44.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
44.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
44.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
44.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
43.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
43.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
43.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
43.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
43.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
42.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
42.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
42.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
42.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
42.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
41.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
41.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
41.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
41.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
41.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
41.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
41.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
40.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
40.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
40.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
40.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
39.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
39.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
39.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
39.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
39.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
39.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
39.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
39.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
39.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
39.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
39.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
39.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
38.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
38.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
37.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
37.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
37.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
37.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
37.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
37.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
37.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
37.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
37.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
36.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
36.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
36.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
36.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
36.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
36.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
36.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
36.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
36.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
36.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
36.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
35.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
35.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
35.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
35.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
35.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
35.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
35.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
35.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
35.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
35.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
35.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
34.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
34.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
34.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
34.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
34.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
34.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
34.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
34.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
34.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
34.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
34.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
33.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
33.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
33.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
33.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
33.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
33.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
32.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
32.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
32.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
32.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
32.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
32.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
32.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
32.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
32.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
32.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
31.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
31.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
31.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
31.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
31.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
31.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
30.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
30.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
30.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
30.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
30.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
30.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
30.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
30.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
29.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
29.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
29.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
29.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
29.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
29.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
28.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
28.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
28.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
28.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
28.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
28.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
28.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
28.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
27.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
27.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
27.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
27.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
27.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
27.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
26.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
26.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
26.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
26.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
25.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
25.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
25.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
25.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
24.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
24.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
24.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
24.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
23.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
23.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
23.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
23.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
23.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
23.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
23.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
23.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
23.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
23.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
22.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
22.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
22.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
22.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
22.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
21.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
21.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
21.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
20.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
19.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
19.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
18.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
17.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
17.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
17.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
16.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
15.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
14.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 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.
HYOU1 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
57.1
Number of samples
486
Samples
Sample
Description
TPM
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
280.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
257.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
152.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
148.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
137.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
126.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
116.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
116.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
111.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
106.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
106.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
105.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
102.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
102.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
102.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
101.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
101.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
100.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
100.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
98.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
96.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
95.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
95.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
95.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
94.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
93.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
93.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
93.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
93.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
93.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
92.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
91.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
91.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
89.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
89.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
88.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
88.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
88.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
87.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
87.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
87.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
85.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
85.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
84.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
84.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
83.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
83.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
83.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
82.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
82.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
82.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
81.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
81.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
81.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
80.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
80.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
79.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
79.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
79.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
79.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
78.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
78.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
77.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
77.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
76.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
76.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
76.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
75.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
75.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
75.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
74.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
74.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
74.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
74.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
74.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
73.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
73.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
73.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
73.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
73.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
73.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
73.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
73.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
72.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
72.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
72.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
72.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
72.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
72.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
72.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
72.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
71.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
71.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
71.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
71.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
71.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
71.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
71.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
71.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
70.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
70.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
70.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
70.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
70.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
70.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
70.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
70.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
70.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
69.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
69.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
69.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
69.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
68.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
68.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
68.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
68.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
68.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
68.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
68.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
67.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
67.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
67.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
67.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
67.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
66.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
66.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
66.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
66.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
66.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
66.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
65.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
65.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
65.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
65.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
65.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
65.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
65.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
65.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
65.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
64.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
64.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
64.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
64.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
64.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
64.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
64.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
63.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
63.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
63.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
63.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
63.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
63.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
63.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
63.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
62.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
62.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
62.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
62.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
62.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
62.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
62.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
62.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
62.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
62.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
61.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
61.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
61.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
61.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
61.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
61.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
61.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
61.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
61.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
61.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
61.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
61.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
61.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
61.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
61.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
60.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
60.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
59.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
59.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
59.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
59.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
59.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
59.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
59.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
59.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
59.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
58.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
58.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
58.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
58.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
58.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
58.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
58.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
58.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
58.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
58.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
58.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
57.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
57.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
57.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
57.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
57.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
57.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
56.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
56.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
56.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
56.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
56.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
56.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
55.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
55.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
55.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
55.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
55.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
55.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
55.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
55.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
55.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
54.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
54.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
54.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
54.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
54.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
54.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
54.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
54.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
54.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
54.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
54.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
54.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
54.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
53.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
53.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
53.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
53.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
53.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
53.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
52.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
52.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
52.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
52.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
52.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
52.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
52.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
52.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
51.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
51.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
51.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
51.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
51.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
51.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
51.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
51.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
51.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
51.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
51.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
51.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
50.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
50.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
50.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
50.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
50.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
50.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
50.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
49.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
49.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
49.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
49.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
49.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
49.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
49.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
49.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
49.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
49.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
49.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
49.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
49.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
48.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
48.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
48.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
48.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
48.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
48.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
48.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
48.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
48.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
47.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
47.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
47.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
47.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
47.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
47.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
47.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
47.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
47.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
47.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
47.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
47.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
46.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
46.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
46.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
46.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
46.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
46.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
46.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
46.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
45.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
45.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
45.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
45.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
45.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
45.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
45.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
45.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
45.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
44.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
44.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
44.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
44.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
44.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
44.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
44.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
43.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
43.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
43.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
43.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
43.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
43.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
43.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
43.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
43.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
43.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
43.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
43.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
42.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
42.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
42.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
42.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
42.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
42.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
42.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
42.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
42.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
41.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
41.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
41.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
41.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
41.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
41.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
41.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
41.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
41.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
41.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
41.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
41.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
41.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
41.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
40.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
40.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
40.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
40.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
40.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
40.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
40.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
40.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
39.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
39.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
39.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
39.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
39.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
39.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
39.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
39.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
39.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
38.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
38.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
38.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
38.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
38.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
38.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
37.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
37.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
37.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
37.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
37.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
37.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
37.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
37.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
36.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
36.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
36.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
36.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
36.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
36.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
36.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
35.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
35.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
35.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
35.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
35.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
35.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
35.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
35.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
35.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
35.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
35.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
34.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
34.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
33.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
33.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
33.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
33.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
33.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
33.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
32.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
32.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
31.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
31.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
31.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
30.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
30.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
29.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
29.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
29.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
29.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
29.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
28.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
28.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
27.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
27.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
25.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
23.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
22.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
22.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HYOU1 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
38.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
184.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
100.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
91.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
85.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
65.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
65.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
62.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
55.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
55.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
55.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
54.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
53.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
53.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
51.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
50.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
48.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
45.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
44.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
44.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
44.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
44.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
44.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
43.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
42.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
41.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
40.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
40.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
39.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
39.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
39.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
38.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
38.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
37.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
37.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
37.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
37.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
37.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
36.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
36.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
35.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
35.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
34.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
34.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
33.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
33.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
33.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
32.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
31.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
31.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
31.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
31.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
31.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
31.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
30.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
30.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
29.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
29.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
29.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
29.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
29.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
29.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
28.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
27.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
27.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
27.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
27.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
26.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
25.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
24.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
24.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
24.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
23.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
23.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
20.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
20.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
18.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
18.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
17.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
16.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
15.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
15.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
10.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
HYOU1 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
51.3
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
184.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
113.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
98.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
93.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
89.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
88.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
83.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
82.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
81.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
81.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
79.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
79.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
78.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
77.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
76.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
74.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
74.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
74.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
74.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
72.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
72.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
69.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
68.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
68.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
68.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
67.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
66.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
66.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
66.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
65.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
64.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
64.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
64.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
64.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
63.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
63.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
63.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
63.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
63.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
62.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
62.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
62.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
62.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
61.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
61.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
61.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
61.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
61.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
61.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
60.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
60.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
59.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
59.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
58.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
58.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
58.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
58.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
58.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
58.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
58.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
58.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
57.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
57.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
57.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
56.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
56.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
55.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
55.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
55.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
55.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
55.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
55.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
54.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
54.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
54.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
54.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
53.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
53.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
53.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
53.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
52.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
52.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
52.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
52.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
52.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
52.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
52.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
50.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
50.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
50.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
50.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
50.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
50.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
49.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
49.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
49.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
49.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
48.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
48.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
48.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
48.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
48.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
48.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
48.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
47.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
47.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
47.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
47.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
47.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
47.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
46.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
46.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
46.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
46.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
46.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
46.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
46.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
45.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
45.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
45.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
45.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
45.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
44.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
44.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
44.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
43.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
43.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
43.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
43.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
43.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
43.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
42.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
42.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
42.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
42.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
42.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
42.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
42.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
42.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
41.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
41.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
41.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
40.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
40.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
40.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
40.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
40.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
40.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
39.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
39.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
39.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
39.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
38.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
38.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
38.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
37.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
37.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
36.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
36.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
35.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
35.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
34.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
34.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
33.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
32.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
32.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
32.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
31.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
31.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
30.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
29.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
27.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
27.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
27.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
26.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
25.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
25.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
24.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
22.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.1
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
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
