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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FBXO7 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
47.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
99.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
88.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
78.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
76.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
74.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
73.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
72.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
71.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
70.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
68.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
68.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
68.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
67.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
65.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
65.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
64.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
64.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
63.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
62.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
62.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
62.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
62.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
61.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
61.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
61.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
61.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
60.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
60.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
60.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
59.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
59.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
59.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
58.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
58.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
58.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
58.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
58.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
58.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
57.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
57.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
57.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
57.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
57.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
56.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
56.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
56.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
56.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
56.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
56.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
56.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
56.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
55.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
55.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
55.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
55.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
55.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
55.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
55.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
55.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
54.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
54.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
54.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
54.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
54.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
54.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
53.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
53.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
53.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
53.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
52.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
52.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
52.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
52.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
52.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
52.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
52.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
52.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
52.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
52.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
51.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
51.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
51.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
51.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
51.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
51.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
50.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
50.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
50.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
50.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
50.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
50.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
50.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
50.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
50.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
50.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
50.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
50.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
50.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
49.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
49.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
49.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
49.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
49.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
49.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
49.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
49.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
49.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
49.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
49.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
49.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
49.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
48.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
48.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
48.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
48.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
48.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
48.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
47.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
47.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
47.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
47.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
47.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
47.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
47.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
47.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
47.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
46.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
46.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
46.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
46.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
46.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
46.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
46.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
46.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
46.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
45.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
45.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
45.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
45.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
45.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
45.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
45.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
45.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
45.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
45.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
44.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
44.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
44.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
44.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
44.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
44.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
44.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
44.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
44.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
44.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
44.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
44.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
44.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
44.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
44.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
43.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
43.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
43.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
43.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
43.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
43.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
43.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
43.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
42.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
42.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
42.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
42.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
42.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
42.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
42.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
42.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
41.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
41.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
41.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
40.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
40.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
40.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
40.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
40.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
40.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
40.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
40.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
40.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
39.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
38.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
38.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
38.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
38.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
38.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
38.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
38.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
38.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
38.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
38.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
37.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
37.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
37.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
37.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
37.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
37.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
37.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
37.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
37.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
36.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
36.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
36.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
36.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
36.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
35.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
35.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
35.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
35.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
35.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
34.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
34.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
34.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
34.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
33.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
33.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
33.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
32.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
32.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
32.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
32.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
31.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
31.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
31.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
31.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
31.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
30.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
30.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
29.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
29.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
28.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
28.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
28.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
27.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
26.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
25.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
25.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
23.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 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.
FBXO7 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
62.9
Number of samples
486
Samples
Sample
Description
TPM
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
115.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
111.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
106.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
106.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
104.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
96.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
95.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
94.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
92.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
92.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
90.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
89.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
89.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
89.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
89.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
88.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
87.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
87.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
85.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
84.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
84.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
84.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
84.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
83.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
83.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
83.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
83.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
83.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
82.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
82.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
81.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
81.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
81.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
81.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
81.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
81.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
81.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
81.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
80.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
80.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
80.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
80.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
80.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
80.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
80.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
80.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
79.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
79.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
79.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
79.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
79.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
79.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
78.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
78.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
78.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
78.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
78.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
77.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
77.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
77.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
77.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
77.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
76.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
76.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
76.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
76.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
76.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
76.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
76.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
75.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
75.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
75.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
75.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
75.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
75.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
75.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
75.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
75.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
75.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
75.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
75.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
75.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
75.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
75.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
74.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
74.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
74.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
74.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
73.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
73.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
73.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
73.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
73.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
73.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
73.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
72.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
72.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
72.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
72.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
72.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
72.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
72.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
72.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
72.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
72.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
72.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
72.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
72.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
72.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
71.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
71.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
71.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
71.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
71.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
71.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
71.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
71.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
71.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
71.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
71.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
71.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
71.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
70.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
70.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
70.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
70.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
70.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
70.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
70.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
70.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
70.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
70.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
69.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
69.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
69.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
69.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
69.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
69.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
69.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
68.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
68.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
68.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
68.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
68.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
68.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
68.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
68.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
68.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
68.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
68.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
68.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
68.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
68.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
68.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
68.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
67.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
67.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
67.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
67.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
67.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
67.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
67.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
67.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
67.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
67.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
67.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
67.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
67.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
67.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
67.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
67.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
66.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
66.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
66.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
66.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
66.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
66.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
66.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
66.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
66.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
66.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
66.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
66.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
66.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
66.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
66.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
66.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
66.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
65.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
65.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
65.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
65.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
65.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
65.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
64.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
64.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
64.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
64.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
64.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
64.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
64.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
64.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
64.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
64.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
64.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
64.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
64.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
64.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
63.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
63.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
63.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
63.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
63.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
63.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
63.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
63.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
63.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
63.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
63.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
63.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
63.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
63.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
63.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
63.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
63.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
63.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
62.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
62.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
62.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
62.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
62.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
62.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
62.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
62.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
62.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
62.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
62.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
62.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
62.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
62.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
62.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
62.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
62.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
62.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
61.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
61.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
61.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
61.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
61.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
61.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
61.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
61.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
61.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
60.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
60.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
60.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
60.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
60.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
60.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
60.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
60.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
60.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
60.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
60.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
60.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
60.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
60.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
60.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
60.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
60.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
60.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
60.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
60.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
60.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
60.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
60.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
60.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
60.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
59.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
59.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
59.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
59.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
59.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
59.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
59.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
59.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
59.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
59.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
59.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
59.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
59.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
59.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
59.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
58.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
58.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
58.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
58.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
58.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
58.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
58.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
58.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
58.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
58.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
58.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
58.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
58.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
58.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
58.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
58.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
57.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
57.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
57.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
57.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
57.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
57.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
57.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
57.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
57.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
57.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
57.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
57.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
56.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
56.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
56.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
56.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
56.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
56.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
56.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
56.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
56.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
56.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
56.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
56.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
56.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
56.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
55.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
55.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
55.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
55.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
55.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
55.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
55.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
55.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
55.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
55.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
55.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
55.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
55.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
55.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
55.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
55.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
55.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
55.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
55.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
55.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
55.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
55.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
54.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
54.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
54.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
54.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
54.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
54.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
54.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
54.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
54.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
54.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
54.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
54.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
54.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
54.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
53.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
53.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
53.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
53.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
53.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
53.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
53.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
53.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
53.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
53.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
53.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
52.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
52.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
52.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
52.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
52.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
52.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
52.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
52.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
52.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
52.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
51.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
51.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
51.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
51.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
51.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
51.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
51.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
51.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
50.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
50.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
50.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
50.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
50.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
50.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
50.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
50.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
50.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
50.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
50.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
50.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
50.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
49.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
49.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
49.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
49.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
49.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
49.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
49.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
49.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
49.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
48.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
48.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
48.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
48.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
48.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
48.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
48.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
48.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
48.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
48.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
47.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
47.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
47.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
47.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
47.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
47.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
46.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
46.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
46.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
45.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
45.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
45.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
45.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
45.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
44.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
44.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
44.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
43.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
43.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
42.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
42.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
41.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
40.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
40.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
39.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
39.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
38.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
37.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
36.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
36.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
31.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
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.
FBXO7 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
47.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
88.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
74.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
74.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
70.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
69.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
67.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
67.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
66.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
66.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
62.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
62.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
61.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
59.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
59.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
58.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
58.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
57.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
56.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
56.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
56.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
54.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
54.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
54.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
54.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
53.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
53.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
53.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
53.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
53.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
53.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
53.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
52.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
52.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
52.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
52.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
52.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
52.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
51.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
51.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
51.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
50.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
49.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
49.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
48.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
48.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
46.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
46.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
45.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
45.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
44.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
43.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
42.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
42.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
42.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
42.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
42.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
42.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
41.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
41.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
41.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
40.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
40.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
39.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
39.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
38.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
38.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
38.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
38.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
37.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
37.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
36.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
36.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
36.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
35.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
34.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
33.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
32.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
30.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
29.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
27.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
27.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
22.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
22.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FBXO7 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
56.9
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
100.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
100.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
91.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
82.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
80.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
78.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
78.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
76.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
76.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
75.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
74.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
74.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
74.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
74.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
74.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
74.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
74.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
74.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
73.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
73.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
73.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
73.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
72.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
72.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
71.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
70.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
70.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
70.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
70.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
70.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
69.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
69.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
69.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
68.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
68.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
68.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
68.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
68.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
68.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
67.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
67.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
67.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
67.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
67.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
67.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
66.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
66.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
66.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
66.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
66.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
66.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
65.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
65.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
65.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
65.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
64.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
63.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
63.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
63.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
63.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
63.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
63.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
63.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
62.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
62.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
62.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
61.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
61.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
61.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
61.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
61.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
61.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
61.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
61.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
61.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
60.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
60.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
60.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
60.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
60.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
60.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
60.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
60.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
60.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
59.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
59.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
59.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
59.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
59.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
59.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
59.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
59.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
58.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
58.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
58.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
58.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
58.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
57.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
57.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
57.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
57.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
57.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
57.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
56.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
56.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
56.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
56.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
56.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
55.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
55.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
55.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
55.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
54.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
54.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
54.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
54.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
54.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
54.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
54.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
54.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
53.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
53.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
53.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
53.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
53.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
53.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
53.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
53.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
52.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
52.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
52.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
52.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
52.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
52.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
51.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
51.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
51.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
51.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
51.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
51.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
50.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
50.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
50.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
50.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
49.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
49.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
49.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
49.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
48.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
48.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
48.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
48.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
47.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
47.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
47.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
46.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
46.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
46.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
46.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
46.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
46.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
45.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
45.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
45.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
45.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
45.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
44.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
44.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
44.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
44.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
43.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
42.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
41.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
40.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
40.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
40.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
40.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
39.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
39.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
39.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
38.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
38.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
38.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
36.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
36.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
34.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
34.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
33.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
1.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
1.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.9
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.9
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.7
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.6
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
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Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
