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.
NFU1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
47.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
95.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
92.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
91.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
90.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
89.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
87.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
87.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
86.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
86.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
86.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
85.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
84.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
82.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
81.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
79.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
78.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
76.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
76.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
74.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
73.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
73.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
72.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
72.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
71.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
71.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
70.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
69.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
69.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
69.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
68.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
68.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
66.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
66.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
66.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
66.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
66.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
66.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
64.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
64.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
63.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
62.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
62.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
61.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
61.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
61.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
61.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
61.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
61.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
60.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
60.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
59.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
59.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
59.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
59.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
58.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
58.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
58.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
58.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
57.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
57.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
57.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
57.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
56.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
56.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
56.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
56.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
56.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
56.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
56.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
56.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
56.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
55.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
55.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
55.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
55.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
55.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
54.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
54.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
54.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
53.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
53.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
53.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
53.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
53.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
53.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
53.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
53.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
52.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
52.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
52.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
51.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
51.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
51.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
51.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
51.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
50.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
50.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
50.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
49.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
49.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
49.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
48.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
48.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
48.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
48.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
48.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
48.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
48.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
48.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
47.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
47.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
47.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
47.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
47.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
47.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
47.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
46.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
46.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
46.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
46.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
46.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
46.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
45.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
45.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
45.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
45.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
44.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
44.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
44.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
44.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
44.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
44.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
44.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
44.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
43.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
43.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
43.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
43.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
42.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
42.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
42.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
42.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
42.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
42.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
42.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
42.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
42.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
42.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
42.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
42.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
42.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
42.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
42.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
41.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
41.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
41.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
41.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
41.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
40.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
40.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
40.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
40.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
40.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
40.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
40.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
40.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
39.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
39.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
39.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
39.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
39.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
39.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
39.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
38.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
38.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
37.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
37.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
37.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
36.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
36.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
36.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
36.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
36.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
36.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
36.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
36.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
36.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
36.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
35.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
35.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
35.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
35.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
35.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
35.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
34.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
34.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
34.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
34.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
34.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
33.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
33.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
33.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
33.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
32.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
32.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
32.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
32.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
32.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
31.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
31.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
31.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
31.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
31.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
31.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
31.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
31.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
30.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
30.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
30.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
30.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
30.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
30.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
29.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
29.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
29.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
29.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
28.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
28.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
28.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
27.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
27.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
27.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
27.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
27.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
26.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
26.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
26.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
25.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
25.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
25.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
24.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
24.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
23.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
22.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
22.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
22.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
20.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
19.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 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.
NFU1 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
35.2
Number of samples
486
Samples
Sample
Description
TPM
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
94.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
79.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
73.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
68.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
65.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
62.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
62.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
61.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
59.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
59.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
59.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
58.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
57.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
56.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
55.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
55.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
54.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
54.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
54.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
53.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
53.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
52.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
52.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
52.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
51.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
51.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
51.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
51.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
50.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
50.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
50.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
50.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
50.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
49.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
49.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
49.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
49.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
49.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
49.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
49.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
48.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
48.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
48.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
48.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
48.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
48.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
48.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
47.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
47.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
47.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
47.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
47.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
47.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
47.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
47.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
47.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
46.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
46.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
46.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
46.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
46.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
46.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
45.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
45.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
45.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
45.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
45.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
45.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
44.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
44.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
44.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
44.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
44.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
44.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
43.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
43.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
43.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
43.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
43.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
43.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
43.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
43.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
43.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
43.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
43.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
43.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
43.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
42.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
42.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
42.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
42.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
42.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
42.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
42.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
42.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
42.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
42.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
42.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
41.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
41.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
41.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
41.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
41.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
41.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
41.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
41.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
41.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
40.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
40.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
40.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
40.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
40.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
40.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
40.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
40.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
40.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
40.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
40.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
40.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
40.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
39.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
39.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
39.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
39.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
39.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
39.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
39.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
39.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
38.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
38.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
38.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
38.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
38.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
38.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
38.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
38.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
38.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
38.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
38.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
37.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
37.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
37.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
37.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
37.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
37.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
37.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
37.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
37.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
37.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
37.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
37.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
36.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
36.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
36.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
36.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
36.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
36.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
36.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
36.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
36.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
36.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
36.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
36.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
36.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
36.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
36.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
36.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
36.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
36.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
35.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
35.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
35.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
35.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
35.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
35.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
35.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
35.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
35.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
35.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
35.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
35.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
35.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
35.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
35.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
35.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
35.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
35.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
35.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
35.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
35.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
35.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
35.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
34.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
34.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
34.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
34.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
34.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
34.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
34.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
34.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
34.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
34.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
34.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
34.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
34.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
34.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
34.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
34.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
34.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
34.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
34.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
34.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
34.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
34.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
34.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
34.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
34.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
34.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
33.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
33.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
33.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
33.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
33.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
33.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
33.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
33.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
33.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
33.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
33.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
33.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
33.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
32.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
32.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
32.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
32.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
32.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
32.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
32.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
32.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
32.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
32.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
32.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
32.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
32.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
32.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
32.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
32.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
32.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
32.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
32.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
31.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
31.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
31.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
31.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
31.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
31.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
31.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
31.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
31.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
31.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
31.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
31.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
31.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
31.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
31.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
31.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
31.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
31.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
31.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
31.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
31.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
31.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
30.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
30.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
30.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
30.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
30.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
30.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
30.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
30.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
30.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
30.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
30.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
30.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
30.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
30.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
30.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
30.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
30.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
30.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
30.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
30.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
30.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
30.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
30.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
30.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
30.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
29.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
29.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
29.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
29.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
29.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
29.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
29.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
29.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
29.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
29.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
29.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
29.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
29.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
29.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
29.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
29.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
29.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
29.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
29.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
29.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
29.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
29.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
28.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
28.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
28.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
28.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
28.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
28.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
28.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
28.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
28.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
28.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
28.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
28.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
28.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
28.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
28.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
28.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
28.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
28.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
28.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
28.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
28.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
27.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
27.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
27.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
27.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
27.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
27.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
27.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
27.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
27.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
27.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
27.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
27.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
27.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
27.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
27.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
27.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
26.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
26.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
26.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
26.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
26.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
26.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
26.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
26.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
26.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
25.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
25.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
25.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
25.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
25.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
25.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
25.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
25.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
24.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
24.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
24.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
24.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
24.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
24.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
24.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
24.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
24.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
24.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
24.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
23.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
23.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
23.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
23.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
23.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
23.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
23.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
23.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
23.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
23.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
22.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
22.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
22.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
22.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
22.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
22.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
22.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
22.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
22.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
22.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
22.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
21.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
21.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
21.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
21.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
21.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
21.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
21.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
21.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
21.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
21.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
21.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
20.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
20.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
20.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
20.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
20.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
20.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
20.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
19.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
19.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
19.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
19.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
18.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
18.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
17.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
17.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
17.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
16.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
16.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
12.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
11.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NFU1 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
49.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
125.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
93.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
92.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
83.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
82.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
79.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
76.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
74.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
73.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
70.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
69.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
68.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
66.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
64.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
62.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
60.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
59.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
59.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
58.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
58.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
56.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
56.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
56.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
56.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
56.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
55.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
54.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
53.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
53.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
53.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
53.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
53.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
52.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
52.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
52.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
51.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
51.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
51.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
50.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
50.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
49.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
49.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
49.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
49.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
48.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
48.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
48.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
47.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
47.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
47.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
47.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
45.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
44.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
44.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
44.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
43.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
43.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
42.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
41.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
41.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
40.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
40.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
40.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
38.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
37.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
36.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
35.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
35.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
34.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
34.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
33.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
33.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
32.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
32.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
31.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
31.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
30.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
30.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
29.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
29.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
29.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
27.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
27.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
26.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
26.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
24.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
23.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 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.
NFU1 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
31.3
Number of samples
207
Samples
Sample
Description
TPM
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
65.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
59.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
53.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
51.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
47.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
47.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
47.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
46.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
44.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
44.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
43.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
42.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
42.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
41.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
41.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
41.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
41.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
41.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
41.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
41.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
40.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
40.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
40.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
40.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
40.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
40.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
39.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
39.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
39.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
39.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
39.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
39.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
39.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
39.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
39.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
39.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
39.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
38.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
38.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
38.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
38.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
38.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
38.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
37.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
37.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
37.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
37.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
37.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
37.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
36.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
36.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
36.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
35.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
35.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
35.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
34.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
34.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
34.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
34.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
34.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
34.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
33.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
33.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
33.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
33.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
32.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
32.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
32.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
32.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
32.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
32.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
32.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
32.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
32.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
32.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
32.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
31.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
31.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
31.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
31.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
31.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
30.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
30.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
30.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
30.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
30.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
30.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
30.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
30.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
30.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
30.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
30.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
29.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
29.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
29.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
29.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
29.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
29.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
29.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
29.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
29.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
29.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
29.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
29.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
29.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
28.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
28.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
28.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
28.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
28.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
28.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
28.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
27.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
27.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
27.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
27.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
27.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
27.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
27.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
27.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
27.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
27.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
27.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
27.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
26.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
26.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
26.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
26.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
26.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
26.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
26.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
26.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
25.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
25.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
25.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
25.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
25.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
25.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
24.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
24.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
24.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
24.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
24.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
23.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
23.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
23.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
23.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
23.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
23.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
23.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
22.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
22.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
22.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
21.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
21.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
21.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
21.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
21.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
21.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
21.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
21.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
21.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
20.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
20.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
19.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
18.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
18.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
18.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
18.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
18.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
17.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
17.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
17.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
17.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
17.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
16.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
16.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.3
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.9
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.7
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.8
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.8
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.3
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
