Literature DB >> 15637390

Integrative epidemiology: from risk assessment to outcome prediction.

Margaret R Spitz1, Xifeng Wu, Gordon Mills.   

Abstract

In this paper, we advance the concept of integrative epidemiology. Our unifying premise is that the same genes that are implicated in cancer risk may also be involved in a person's propensity to carcinogenic exposure and/or to modulation of therapeutic outcome. In the coming years, molecular epidemiology will play an increasingly prominent role in early detection of cancer and in identifying genetically high-risk subgroups that might benefit disproportionately from more intensive screening or chemoprevention interventions. Molecular epidemiology is also integral to pharmacogenetic research, by constructing genetic profiles that could be used to individualize therapy and to understand the functional consequences of chemoprevention, chemotherapy, or radiotherapy response. At the level of risk assessment, the focus might be on germline polymorphisms in candidate genes; for early detection, epigenetic events in these same or other genes may be relevant; and tumor tissue expression levels, loss of heterozygosity, genomic amplification, rearrangements, or somatic mutations in the same classes of genes may determine outcome. We will provide examples of how changes in the function of a single gene can contribute to susceptibility to carcinogenic exposure, predisposition to cancer development, patient prognosis, and prediction of outcome.

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Year:  2005        PMID: 15637390     DOI: 10.1200/JCO.2005.05.122

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  20 in total

Review 1.  The use of genomic information to optimize cancer chemotherapy.

Authors:  Federico Innocenti; Nancy J Cox; M Eileen Dolan
Journal:  Semin Oncol       Date:  2011-04       Impact factor: 4.929

2.  Racial and ethnic disparities in risk and survival in children with neuroblastoma: a Children's Oncology Group study.

Authors:  Tara O Henderson; Smita Bhatia; Navin Pinto; Wendy B London; Patrick McGrady; Catherine Crotty; Can-Lan Sun; Susan L Cohn
Journal:  J Clin Oncol       Date:  2010-11-22       Impact factor: 44.544

3.  Dissecting the heterogeneity of schizophrenia outcomes.

Authors:  John McGrath
Journal:  Schizophr Bull       Date:  2007-11-28       Impact factor: 9.306

Review 4.  Molecular epidemiology, cancer-related symptoms, and cytokines pathway.

Authors:  Cielito C Reyes-Gibby; Xifeng Wu; Margaret Spitz; Razelle Kurzrock; Michael Fisch; Eduardo Bruera; Sanjay Shete
Journal:  Lancet Oncol       Date:  2008-08       Impact factor: 41.316

Review 5.  Identifying genetic variants that contribute to chemotherapy-induced cytotoxicity.

Authors:  Christine M Hartford; M Eileen Dolan
Journal:  Pharmacogenomics       Date:  2007-09       Impact factor: 2.533

6.  ERCC1 and ERCC2 polymorphisms and adult glioma.

Authors:  Margaret Wrensch; Karl T Kelsey; Mei Liu; Rei Miike; Michelle Moghadassi; Jennette D Sison; Kenneth Aldape; Alex McMillan; Joseph Wiemels; John K Wiencke
Journal:  Neuro Oncol       Date:  2005-10       Impact factor: 12.300

7.  Genetic variations in microRNA-related genes are associated with survival and recurrence in patients with renal cell carcinoma.

Authors:  Jie Lin; Yohei Horikawa; Pheroze Tamboli; Jessica Clague; Christopher G Wood; Xifeng Wu
Journal:  Carcinogenesis       Date:  2010-08-23       Impact factor: 4.944

8.  Integrative cancer epidemiology--the next generation.

Authors:  Margaret R Spitz; Neil E Caporaso; Thomas A Sellers
Journal:  Cancer Discov       Date:  2012-12       Impact factor: 39.397

Review 9.  Genomics of the NF-κB signaling pathway: hypothesized role in ovarian cancer.

Authors:  Kristin L White; David N Rider; Kimberly R Kalli; Keith L Knutson; Gail P Jarvik; Ellen L Goode
Journal:  Cancer Causes Control       Date:  2011-02-27       Impact factor: 2.506

Review 10.  Advances in breast cancer: pathways to personalized medicine.

Authors:  Olufunmilayo I Olopade; Tatyana A Grushko; Rita Nanda; Dezheng Huo
Journal:  Clin Cancer Res       Date:  2008-12-15       Impact factor: 12.531

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