Cancer Risk Analysis in Families With Hereditary Nonpolyposis Colorectal Cancer

Colorectal cancer (CRC) is one of the most common fatal cancers in developed countries and represents a significant public-health issue. About 3%-5% of patients with CRC have hereditary nonpolyposis colorectal cancer (HNPCC). Cancer morbidity and mortality can be reduced if early and intensive screening is pursued. However, despite advances in screening, population-wide genetic screening for HNPCC is not currently considered feasible due to its complexity and expense. If the risk of a family having HNPCC can be identified/assessed, then only the high-risk fraction of the population would undergo intensive screening. This identification is currently performed by a genetic counselor/physician who makes the decision based on some pre-defined criteria. Here, we report on a system to identify the risk of a family having HNPCC based on its history. We compare artificial neural networks and statistical approaches for assessing the risk of a family having HNPCC and discuss the experimental results obtained by these two approaches

[1]  W. Baxt.  Application of artificial neural networks to clinical medicine , 1995, The Lancet.

[2]  Fionn Murtagh,et al.  DataLab-J: a signal and image processing laboratory for teaching and research , 2001, IEEE Trans. Educ..

[3]  N. Dubrawsky.  Cancer statistics , 1989, CA: a cancer journal for clinicians.

[4]  L. Aaltonen,et al.  Incidence of hereditary nonpolyposis colorectal cancer and the feasibility of molecular screening for the disease. , 1998, The New England journal of medicine.

[5]  Ahmedin Jemal,et al.  Cancer Statistics, 2002 , 2002, CA: a cancer journal for clinicians.

[6]  S. Gallinger,et al.  Colorectal Screening is Associated with Reduced Colorectal Cancer Risk: A Case–Control Study within the Population-Based Ontario Familial Colorectal Cancer Registry , 2005, Cancer Causes & Control.

[7]  Statement of the American Society of Clinical Oncology: genetic testing for cancer susceptibility, Adopted on February 20, 1996. , 1996, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[8]  Shigeo Abe DrEng.  Pattern Classification , 2001, Springer London.

[9]  K. Calzone,et al.  Genetic testing for cancer susceptibility. , 2008, The Surgical clinics of North America.

[10]  Igor V. Tetko,et al.  Data modelling with neural networks: Advantages and limitations , 1997, J. Comput. Aided Mol. Des..

[11]  M. Skolnick,et al.  Statement of the American Society of Clinical Oncology : Genetic testing for cancer susceptibility. Commentaries , 1996 .

[12]  A. Zwinderman,et al.  Clinical findings with implications for genetic testing in families with clustering of colorectal cancer. , 1998, The New England journal of medicine.

[13]  J. Mecklin,et al.  The International Collaborative Group on Hereditary Non-Polyposis Colorectal Cancer (ICG-HNPCC) , 1991, Diseases of the colon and rectum.

[14]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..

[15]  Paul King.  Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management , 2003 .

[16]  H. Thornton-Jones,et al.  Cancer Registry data. , 1990, British Journal of Cancer.

[17]  Raouf N. Gorgui-Naguib,et al.  A fuzzy logic based-method for prognostic decision making in breast and prostate cancers , 2003, IEEE Transactions on Information Technology in Biomedicine.

[18]  Martin A. Riedmiller,et al.  A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.

[19]  R. Elston,et al.  A general model for the genetic analysis of pedigree data. , 1971, Human heredity.

[20]  H. El‐Serag,et al.  Surgical Volume and Long-Term Survival Following Surgery for Colorectal Cancer in the Veterans Affairs Health-Care System , 2004, American Journal of Gastroenterology.

[21]  Fionn Murtagh,et al.  A Wavelet, Fourier, and PCA Data Analysis Pipeline: Application to Distinguishing Mixtures of Liquids , 2003, J. Chem. Inf. Comput. Sci..

[22]  H T Lynch,et al.  Hereditary Nonpolyposis Colorectal Cancer Patients Replication Errors in Benign and Malignant Tumors from , 2006 .