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.
HECTD1 is potential prognostic, high expression is favorable 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
25.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
137.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
68.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
63.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
62.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
55.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
53.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
49.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
48.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
48.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
46.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
43.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
42.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
41.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
40.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
39.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
39.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
39.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
38.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
38.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
37.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
37.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
36.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
35.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
35.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
35.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
35.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
35.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
35.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
35.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
34.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
34.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
34.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
34.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
33.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
33.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
33.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
33.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
33.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
33.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
33.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
33.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
33.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
32.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
32.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
32.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
32.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
32.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
32.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
31.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
31.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
31.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
31.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
31.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
31.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
31.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
30.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
30.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
30.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
30.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
30.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
29.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
29.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
29.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
29.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
29.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
29.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
29.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
29.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
28.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
28.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
28.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
28.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
28.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
28.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
28.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
28.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
28.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
28.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
28.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
28.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
28.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
27.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
27.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
27.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
27.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
27.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
27.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
27.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
27.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
27.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
27.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
27.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
27.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
27.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
27.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
27.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
26.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
26.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
26.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
26.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
26.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
26.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
26.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
25.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
25.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
25.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
25.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
25.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
25.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
25.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
25.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
25.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
25.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
25.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
25.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
25.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
25.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
25.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
24.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
24.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
24.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
24.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
24.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
24.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
24.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
24.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
24.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
23.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
23.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
23.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
23.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
23.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
23.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
23.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
23.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
23.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
23.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
22.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
22.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
22.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
22.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
22.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
22.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
22.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
22.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
22.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
22.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
22.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
22.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
22.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
22.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
22.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
21.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
21.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
21.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
21.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
21.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
21.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
21.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
20.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
20.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
20.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
20.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
20.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
20.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
20.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
20.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
20.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
20.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
20.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
20.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
19.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
19.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
19.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
19.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
19.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
19.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
19.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
19.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
19.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
19.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
19.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
19.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
19.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
19.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
19.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
19.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
19.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
18.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
18.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
18.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
18.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
18.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
18.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
18.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
18.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
18.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
18.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
18.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
18.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
18.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
17.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
17.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
17.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
17.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
17.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
17.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
17.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
17.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
17.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
17.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
17.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
16.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
16.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
16.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
16.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
16.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
16.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
15.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
15.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
15.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
15.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
14.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
14.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
14.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
14.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
14.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
13.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
13.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
13.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
13.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
12.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
12.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
12.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
12.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
12.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
12.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
12.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
11.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 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.
HECTD1 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
68.5
Number of samples
486
Samples
Sample
Description
TPM
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
180.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
139.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
127.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
124.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
119.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
117.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
111.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
111.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
111.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
109.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
108.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
106.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
106.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
105.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
103.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
102.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
102.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
102.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
102.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
101.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
101.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
101.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
101.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
100.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
100.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
99.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
99.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
99.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
98.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
97.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
97.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
97.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
97.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
97.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
97.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
96.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
96.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
95.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
94.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
93.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
93.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
93.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
92.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
92.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
92.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
92.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
92.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
91.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
91.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
91.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
91.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
90.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
90.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
90.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
90.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
90.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
90.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
89.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
89.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
89.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
89.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
88.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
88.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
88.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
87.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
87.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
87.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
86.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
86.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
86.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
86.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
86.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
86.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
86.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
86.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
85.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
85.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
85.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
85.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
85.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
85.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
85.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
85.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
85.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
84.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
84.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
84.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
84.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
83.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
83.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
83.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
83.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
83.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
82.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
82.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
82.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
82.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
81.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
81.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
81.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
81.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
81.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
81.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
80.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
80.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
80.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
80.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
80.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
80.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
80.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
80.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
79.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
79.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
79.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
79.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
79.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
78.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
78.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
78.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
78.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
78.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
78.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
78.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
78.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
78.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
77.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
77.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
77.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
77.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
77.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
77.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
77.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
77.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
77.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
77.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
76.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
76.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
76.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
76.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
76.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
76.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
76.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
76.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
76.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
76.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
76.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
75.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
75.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
75.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
75.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
75.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
75.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
74.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
74.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
74.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
74.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
74.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
74.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
74.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
74.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
73.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
73.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
73.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
73.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
73.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
73.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
72.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
72.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
72.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
72.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
72.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
72.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
72.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
72.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
72.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
72.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
72.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
72.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
72.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
72.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
72.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
72.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
72.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
72.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
71.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
71.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
71.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
71.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
71.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
71.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
71.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
71.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
70.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
70.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
70.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
70.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
70.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
70.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
70.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
70.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
70.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
70.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
69.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
69.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
69.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
69.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
69.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
69.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
69.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
69.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
69.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
69.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
69.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
69.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
69.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
69.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
69.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
69.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
69.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
68.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
68.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
68.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
68.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
68.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
68.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
68.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
68.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
68.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
68.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
68.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
68.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
68.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
67.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
67.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
67.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
67.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
67.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
67.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
66.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
66.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
66.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
66.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
66.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
66.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
66.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
66.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
65.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
65.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
65.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
65.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
65.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
65.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
65.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
65.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
65.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
65.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
65.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
65.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
65.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
65.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
65.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
65.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
65.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
65.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
64.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
64.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
64.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
64.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
64.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
64.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
64.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
64.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
64.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
64.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
64.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
64.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
64.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
64.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
63.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
63.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
63.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
63.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
63.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
63.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
63.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
63.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
63.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
63.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
63.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
63.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
63.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
62.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
62.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
62.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
62.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
62.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
62.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
62.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
62.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
62.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
62.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
61.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
61.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
61.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
61.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
61.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
61.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
61.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
61.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
61.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
61.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
61.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
61.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
61.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
60.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
60.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
60.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
60.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
60.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
60.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
60.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
60.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
60.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
60.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
60.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
59.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
59.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
59.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
59.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
59.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
59.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
58.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
58.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
58.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
58.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
58.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
58.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
58.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
58.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
58.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
58.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
57.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
57.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
57.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
57.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
57.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
57.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
57.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
57.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
57.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
57.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
57.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
57.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
56.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
56.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
56.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
56.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
56.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
56.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
56.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
56.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
56.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
56.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
56.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
56.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
56.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
55.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
55.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
55.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
55.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
55.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
55.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
55.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
55.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
55.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
55.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
55.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
54.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
54.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
54.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
54.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
54.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
53.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
53.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
53.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
53.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
53.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
53.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
53.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
52.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
52.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
52.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
52.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
52.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
52.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
52.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
51.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
51.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
51.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
51.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
51.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
50.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
50.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
50.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
50.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
50.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
50.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
50.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
49.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
49.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
49.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
49.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
49.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
49.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
49.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
49.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
48.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
48.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
48.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
48.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
48.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
47.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
47.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
47.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
47.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
47.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
47.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
47.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
47.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
47.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
47.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
46.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
46.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
46.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
46.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
45.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
45.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
45.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
45.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
45.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
45.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
45.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
45.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
44.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
44.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
43.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
43.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
43.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
42.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
42.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
42.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
42.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
41.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
41.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
41.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
41.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
40.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
40.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
40.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
38.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
37.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
36.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
35.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
34.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
34.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
30.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.5
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.
HECTD1 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
23.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
44.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
42.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
41.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
39.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
39.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
39.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
38.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
35.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
35.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
34.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
34.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
33.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
33.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
32.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
32.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
32.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
31.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
31.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
31.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
30.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
29.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
29.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
28.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
28.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
27.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
27.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
27.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
27.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
27.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
26.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
26.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
26.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
26.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
25.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
25.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
25.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
24.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
23.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
23.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
23.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
22.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
22.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
22.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
22.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
21.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
21.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
21.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
21.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
21.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
21.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
20.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
20.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
19.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
19.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
19.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
19.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
19.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
18.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
18.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
18.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
18.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
18.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
18.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
18.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
17.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
17.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
17.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
16.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
16.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
16.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
15.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
15.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
15.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
14.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
14.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
14.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
13.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
13.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HECTD1 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
63.2
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
149.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
109.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
109.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
106.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
104.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
99.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
98.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
97.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
92.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
92.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
91.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
90.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
90.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
88.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
88.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
87.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
87.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
87.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
85.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
85.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
85.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
84.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
84.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
82.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
81.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
80.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
80.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
79.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
79.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
78.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
78.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
78.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
78.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
78.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
78.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
77.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
77.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
76.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
76.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
76.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
76.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
76.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
75.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
75.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
75.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
75.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
75.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
74.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
74.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
73.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
73.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
73.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
73.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
73.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
73.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
71.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
71.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
71.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
71.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
70.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
70.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
69.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
69.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
69.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
69.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
68.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
68.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
68.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
68.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
68.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
68.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
68.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
67.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
67.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
67.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
67.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
66.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
66.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
65.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
65.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
65.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
65.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
65.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
65.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
65.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
65.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
65.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
64.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
64.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
64.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
64.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
64.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
64.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
64.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
64.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
63.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
63.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
63.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
62.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
62.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
62.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
62.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
61.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
61.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
60.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
60.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
60.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
60.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
60.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
60.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
60.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
60.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
59.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
59.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
58.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
58.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
58.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
58.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
58.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
57.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
57.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
57.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
57.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
57.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
57.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
57.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
57.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
57.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
57.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
57.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
56.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
56.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
56.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
56.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
56.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
56.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
55.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
55.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
55.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
55.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
55.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
55.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
54.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
54.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
54.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
54.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
54.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
53.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
53.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
53.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
53.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
52.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
52.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
52.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
52.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
52.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
51.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
51.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
50.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
50.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
50.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
50.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
50.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
49.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
49.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
49.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
48.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
48.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
47.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
47.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
47.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
47.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
47.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
47.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
47.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
47.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
46.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
46.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
45.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
45.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
43.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
43.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
43.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
43.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
43.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
43.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
42.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
42.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
42.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
41.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
40.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
40.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
38.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
33.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
25.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.7
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
