Title |
Tumor Heterogeneity in Primary Colorectal Cancer and Corresponding Metastases. Does the Apple Fall Far From the Tree?
|
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Published in |
Frontiers in Medicine, August 2018
|
DOI | 10.3389/fmed.2018.00234 |
Pubmed ID | |
Authors |
Annika Blank, Daniel Edward Roberts, Heather Dawson, Inti Zlobec, Alessandro Lugli |
Abstract |
Colorectal cancer harbors tremendous heterogeneity, with temporal and spatial differences in genetic mutations, epigenetic regulation, and tumor microenvironment. Analyzing the distribution and frequency of genetic, epigenetic, and microenvironment differences within a given tumor and between different sites of a metastatic tumor has been used as a powerful tool to investigate tumorigenesis, tumor progression, and to yield insight into various models of tumor development. A better understanding of tumor heterogeneity would have tremendous clinical relevance, which may manifest most clearly when genetic analyses to inform treatment decisions are performed on a very limited sample of a large tumor. This review summarizes the current concepts of tumor heterogeneity, with a focus on primary colorectal cancers and their corresponding metastases as well as potential clinical implications. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 125 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 22% |
Researcher | 18 | 14% |
Student > Bachelor | 16 | 13% |
Student > Master | 13 | 10% |
Student > Doctoral Student | 5 | 4% |
Other | 11 | 9% |
Unknown | 34 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 35 | 28% |
Medicine and Dentistry | 30 | 24% |
Agricultural and Biological Sciences | 10 | 8% |
Immunology and Microbiology | 3 | 2% |
Computer Science | 2 | 2% |
Other | 10 | 8% |
Unknown | 35 | 28% |