Abstract
The concept of the adenoma-carcinoma sequence, as first espoused by Morson et al. whereby the development of colorectal cancer is dependent on a stepwise progression from adenomatous polyp to carcinoma is well documented. Initial studies of the genetics of inherited colorectal cancer susceptibility concentrated on the inherited colorectal cancer syndromes, such as Familial Adenomatous Polyposis (FAP) and Lynch Syndrome (also known as HNPCC). These syndromes, whilst easily characterisable, have a well understood sequence of genetic mutations that predispose the sufferer to developing colorectal cancer, initiated for example in FAP by the loss of the second, normal allelle of the tumour supressor APC gene. Later research has identified other inherited variants such as MUTYH (MYH) polyposis and Hyperplastic Polyposis Syndrome. Recent research has concentrated on the pathways by which colorectal adenomatous polyps not due to one of these known inherited susceptibilities undergo malignant transformation, and determination of the types of polyps most likely to do so. Also, why do individuals in certain families have a predisposition to colorectal cancer. In this article, we will discuss briefly the current state of knowledge of the genomics of the classical inherited colorectal cancer syndromes. We will also discuss in detail the genetic changes in polyps that undergo malignant transformation as well as current knowledge with regards to the epigenomic changes found in colorectal polyps.
Keywords: Colorectal, cancer, genomics, epigenomics
Current Genomics
Title: The Genomics of Colorectal Cancer: State of the Art
Volume: 9 Issue: 1
Author(s): Andrew D. Beggs and Shirley V. Hodgson
Affiliation:
Keywords: Colorectal, cancer, genomics, epigenomics
Abstract: The concept of the adenoma-carcinoma sequence, as first espoused by Morson et al. whereby the development of colorectal cancer is dependent on a stepwise progression from adenomatous polyp to carcinoma is well documented. Initial studies of the genetics of inherited colorectal cancer susceptibility concentrated on the inherited colorectal cancer syndromes, such as Familial Adenomatous Polyposis (FAP) and Lynch Syndrome (also known as HNPCC). These syndromes, whilst easily characterisable, have a well understood sequence of genetic mutations that predispose the sufferer to developing colorectal cancer, initiated for example in FAP by the loss of the second, normal allelle of the tumour supressor APC gene. Later research has identified other inherited variants such as MUTYH (MYH) polyposis and Hyperplastic Polyposis Syndrome. Recent research has concentrated on the pathways by which colorectal adenomatous polyps not due to one of these known inherited susceptibilities undergo malignant transformation, and determination of the types of polyps most likely to do so. Also, why do individuals in certain families have a predisposition to colorectal cancer. In this article, we will discuss briefly the current state of knowledge of the genomics of the classical inherited colorectal cancer syndromes. We will also discuss in detail the genetic changes in polyps that undergo malignant transformation as well as current knowledge with regards to the epigenomic changes found in colorectal polyps.
Export Options
About this article
Cite this article as:
Beggs D. Andrew and Hodgson V. Shirley, The Genomics of Colorectal Cancer: State of the Art, Current Genomics 2008; 9 (1) . https://dx.doi.org/10.2174/138920208783884865
DOI https://dx.doi.org/10.2174/138920208783884865 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
Call for Papers in Thematic Issues
Advanced AI Techniques in Big Genomic Data Analysis
The thematic issue on "Advanced AI Techniques in Big Genomic Data Analysis" aims to explore the cutting-edge methodologies and applications of artificial intelligence (AI) in the realm of genomic research, where vast amounts of data pose both challenges and opportunities. This issue will cover a broad spectrum of AI-driven strategies, ...read more
Advanced Computational Algorithms and Artificial Intelligence in Clinical Pharmacogenomics
In the era of personalized medicine, understanding the relationship between genetics and drug response is crucial. This issue delves into innovative methodologies, leveraging deep computational analysis and artificial intelligence, to enhance the field of Clinical Pharmacogenomics. The interdisciplinary approach harnesses the power of advanced high-throughput genotyping technologies, sophisticated computational analysis, ...read more
Applications of Single-cell Sequencing Technology in Reproductive Medicine
Single cell sequencing (SCS) technology utilizes individual cells' genetic material to sequence their genome, transcriptome, and epigenetics at the molecular level. It offers insights into cell heterogeneity and enables the study of limited biological materials. Since its recognition as a valuable technique in 2011, single cell sequencing has yielded numerous ...read more
Big Data in Cancer Research
Cancer is a significant threat to human life and health, remaining a highly aggressive killer. It is a leading cause of death worldwide and represents a crucial medical issue for humanity. However, in the past decade, the effectiveness of new synthetic anticancer agents has not matched the current clinical speculation. ...read more
Related Journals
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Endogenous Enzyme-responsive Nanoplatforms for Anti-tumor Therapy
Current Drug Targets Role of Mitochondrial Translocator Protein (18 kDa) on Mitochondrial- Related Cell Death Processes
Recent Patents on Endocrine, Metabolic & Immune Drug Discovery Clinico-Pathologic and Biologic Predictors of EGFR Inhibitors Activity and Efficacy in Lung and in Colorectal Cancer
Current Signal Transduction Therapy Targeting DNA Topoisomerase I with Non-Camptothecin Poisons
Current Medicinal Chemistry The Use of Fas Ligand, TRAIL and Bax in Gene Therapy of Prostate Cancer
Current Gene Therapy Design, Synthesis and Studies on Novel Polymeric Prodrugs of Erlotinib for Colon Drug Delivery
Anti-Cancer Agents in Medicinal Chemistry Berberine Administration in Treatment of Colitis: A Review
Current Drug Targets The Phosphoinositide 3-Kinase Pathway in Human Cancer: Genetic Alterations and Therapeutic Implications
Current Genomics Comparative Proteomics and Bioinformatics Analysis of Tissue from Non-Small Cell Lung Cancer Patients
Current Proteomics Synthesis of Isoxazole Moiety Containing Thieno[2,3-d]pyrimidine Derivatives and Preliminarily in vitro Anticancer Activity (Part II)
Anti-Cancer Agents in Medicinal Chemistry Formulation and Evaluation of Polymeric Nanomicelles of Gliptin for Controlled Drug Delivery
Drug Delivery Letters Mechanisms of Allostery and Membrane Attachment in Ras GTPases: Implications for Anti-Cancer Drug Discovery
Current Medicinal Chemistry The CXCL12/CXCR4 Axis as a Therapeutic Target in Cancer and HIV-1 Infection
Current Medicinal Chemistry Natural Sirtuin Modulators in Drug Discovery: A Review (2010 -2020)
Current Medicinal Chemistry P38 MAPK Contributes to Resistance and Invasiveness of HER2- Overexpressing Breast Cancer
Current Medicinal Chemistry NLRP3 Inhibitors as Potential Therapeutic Agents for Treatment of Inflammatory Bowel Disease
Current Pharmaceutical Design Biological Nanofactories: Using Living Forms for Metal Nanoparticle Synthesis
Mini-Reviews in Medicinal Chemistry Farnesylated Proteins as Anticancer Drug Targets: From Laboratory to the Clinic
Current Medicinal Chemistry - Anti-Cancer Agents Anti-cancer Therapies in High Grade Gliomas
Current Proteomics Integrated Analysis of mRNA-seq and miRNA-seq to Identify c-MYC, YAP1 and miR-3960 as Major Players in the Anticancer Effects of Caffeic Acid Phenethyl Ester in Human Small Cell Lung Cancer Cell Line
Current Gene Therapy