Special considerations in prognostic research in cancer involving genetic polymorphisms

نویسندگان

  • Sevtap Savas
  • Geoffrey Liu
  • Wei Xu
چکیده

Analysis of genetic polymorphisms may help identify putative prognostic markers and determine the biological basis of variable prognosis in patients. However, in contrast to other variables commonly used in the prognostic studies, there are special considerations when studying genetic polymorphisms. For example, variable inheritance patterns (recessive, dominant, codominant, and additive genetic models) need to be explored to identify the specific genotypes associated with the outcome. In addition, several characteristics of genetic polymorphisms, such as their minor allele frequency and linkage disequilibrium among multiple polymorphisms, and the population substructure of the cohort investigated need to be accounted for in the analyses. In addition, in cancer research due to the genomic differences between the tumor and non-tumor DNA, differences in the genetic information obtained using these tissues need to be carefully assessed in prognostic studies. In this article, we review these and other considerations specific to genetic polymorphism by focusing on genetic prognostic studies in cancer.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Title: Special Considerations in Prognostic Research in Cancer Involving Genetic Polymorphisms

I sincerely thank you and Drs. Dragani and Toffoli for the valuable and constructive comments that improved our manuscript entitled " Special considerations in prognostic research in cancer involving genetic polymorphisms ". Based on the comments, we have done modifications to the manuscript as explained below. We hope you and the reviewers will find this version of the manuscript suitable to b...

متن کامل

Gene-Gene Interaction Study Between Genetic Polymorphisms of Folate Metabolism and MTR SNPs on Prognostic Features Impact for Breast Cancer

Background: Breast Cancer (BC), the second leading cause of cancer mortality after lung cancer and varied across the world due to genetic and environmental factors. In this study, we evaluated the interaction between the polymorphisms in genes encoding enzymes of folate metabolism: methylenetetrahydrofolate reductase (MTHFR), methionine synthesis reductase (MTR) with the BC prognostic factors. ...

متن کامل

Study of Association Between TLR4 D299G and T399I Polymorphisms and Risk of Gastric Cancer

Introduction:Gastrointestinal cancers constitute more than one-third of the most common cancers and half of the fatal cancers worldwide. Toll-like receptors (TLRs) are identified as pivotal receptors in innate immunity responses. TLR4 is the main receptor that plays a role in lipopolysaccharide  (LPS)  sensing  of  gram-positive  bacteria.  D299G  (rs4986790)&...

متن کامل

Study of Association Between TLR4 D299G and T399I Polymorphisms and Risk of Gastric Cancer

Introduction:Gastrointestinal cancers constitute more than one-third of the most common cancers and half of the fatal cancers worldwide. Toll-like receptors (TLRs) are identified as pivotal receptors in innate immunity responses. TLR4 is the main receptor that plays a role in lipopolysaccharide  (LPS)  sensing  of  gram-positive  bacteria.  D299G  (rs4986790)&...

متن کامل

Association between Polymorphisms of X-ray Repair Cross Complementing 5 and 6 Promoter Genes and the Risk of Metastatic Breast Cancer

Background and Objective: Breast cancer is the second leading cause of cancer-related death in women. Better individualized treatment needs novel prognostic predictors. X-ray repair cross complementing XRCC5 and XRCC6 are coding genes of the Ku protein complex (key components of the non-homologous end-joining [NHEJ] pathway), which could serve as prognostic factors in breast cancer. Hence, in t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 11  شماره 

صفحات  -

تاریخ انتشار 2013