Literature DB >> 33323360

Opportunities for Gene and Environment Research in Cancer: An Updated Review of NCI's Extramural Grant Portfolio.

Armen A Ghazarian1, Naoko Ishibe Simonds2, Gabriel Y Lai1, Leah E Mechanic3.   

Abstract

BACKGROUND: The study of gene-environment (GxE) interactions is a research priority for the NCI. Previously, our group analyzed NCI's extramural grant portfolio from fiscal years (FY) 2007 to 2009 to determine the state of the science in GxE research. This study builds upon our previous effort and examines changes in the landscape of GxE cancer research funded by NCI.
METHODS: The NCI grant portfolio was examined from FY 2010 to 2018 using the iSearch application. A time-trend analysis was conducted to explore changes over the study interval.
RESULTS: A total of 107 grants met the search criteria and were abstracted. The most common cancer types studied were breast (19.6%) and colorectal (18.7%). Most grants focused on GxE using specific candidate genes (69.2%) compared with agnostic approaches using genome-wide (26.2%) or whole-exome/whole-genome next-generation sequencing (NGS) approaches (19.6%); some grants used more than one approach to assess genetic variation. More funded grants incorporated NGS technologies in FY 2016-2018 compared with prior FYs. Environmental exposures most commonly examined were energy balance (46.7%) and drugs/treatment (40.2%). Over the time interval, we observed a decrease in energy balance applications with a concurrent increase in drug/treatment applications.
CONCLUSIONS: Research in GxE interactions has continued to concentrate on common cancers, while there have been some shifts in focus of genetic and environmental exposures. Opportunities exist to study less common cancers, apply new technologies, and increase racial/ethnic diversity. IMPACT: This analysis of NCI's extramural grant portfolio updates previous efforts and provides a review of NCI grant support for GxE research. ©2020 American Association for Cancer Research.

Entities:  

Mesh:

Year:  2020        PMID: 33323360      PMCID: PMC8049944          DOI: 10.1158/1055-9965.EPI-20-1264

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  50 in total

Review 1.  Lifestyle and dietary environmental factors in colorectal cancer susceptibility.

Authors:  Neil Murphy; Victor Moreno; David J Hughes; Ludmila Vodicka; Pavel Vodicka; Elom K Aglago; Marc J Gunter; Mazda Jenab
Journal:  Mol Aspects Med       Date:  2019-06-28

Review 2.  Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies.

Authors:  Chirag J Patel; Jacqueline Kerr; Duncan C Thomas; Bhramar Mukherjee; Beate Ritz; Nilanjan Chatterjee; Marta Jankowska; Juliette Madan; Margaret R Karagas; Kimberly A McAllister; Leah E Mechanic; M Daniele Fallin; Christine Ladd-Acosta; Ian A Blair; Susan L Teitelbaum; Christopher I Amos
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-07-14       Impact factor: 4.254

3.  Design considerations for genomic association studies: importance of gene-environment interactions.

Authors:  Loïc Le Marchand; Lynne R Wilkens
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-02       Impact factor: 4.254

Review 4.  Consensus report of the 8 and 9th Weinman Symposia on Gene x Environment Interaction in carcinogenesis: novel opportunities for precision medicine.

Authors:  Michele Carbone; Ivano Amelio; El Bachir Affar; James Brugarolas; Lisa A Cannon-Albright; Lewis C Cantley; Webster K Cavenee; Zhijian Chen; Carlo M Croce; Alan D' Andrea; David Gandara; Carlotta Giorgi; Wei Jia; Qing Lan; Tak Wah Mak; James L Manley; Katsuhiko Mikoshiba; Jose N Onuchic; Harvey I Pass; Paolo Pinton; Carol Prives; Nathaniel Rothman; Said M Sebti; James Turkson; Xifeng Wu; Haining Yang; Herbert Yu; Gerry Melino
Journal:  Cell Death Differ       Date:  2018-10-15       Impact factor: 15.828

Review 5.  Review of the Gene-Environment Interaction Literature in Cancer: What Do We Know?

Authors:  Naoko I Simonds; Armen A Ghazarian; Camilla B Pimentel; Sheri D Schully; Gary L Ellison; Elizabeth M Gillanders; Leah E Mechanic
Journal:  Genet Epidemiol       Date:  2016-04-07       Impact factor: 2.135

6.  Use of the "Exposome" in the Practice of Epidemiology: A Primer on -Omic Technologies.

Authors:  D Gayle DeBord; Tania Carreón; Thomas J Lentz; Paul J Middendorf; Mark D Hoover; Paul A Schulte
Journal:  Am J Epidemiol       Date:  2016-08-15       Impact factor: 4.897

Review 7.  Lessons Learned From Past Gene-Environment Interaction Successes.

Authors:  Beate R Ritz; Nilanjan Chatterjee; Montserrat Garcia-Closas; W James Gauderman; Brandon L Pierce; Peter Kraft; Caroline M Tanner; Leah E Mechanic; Kimberly McAllister
Journal:  Am J Epidemiol       Date:  2017-10-01       Impact factor: 5.363

Review 8.  Gene-environment interactions and colorectal cancer risk: An umbrella review of systematic reviews and meta-analyses of observational studies.

Authors:  Tian Yang; Xue Li; Zahra Montazeri; Julian Little; Susan M Farrington; John P A Ioannidis; Malcolm G Dunlop; Harry Campbell; Maria Timofeeva; Evropi Theodoratou
Journal:  Int J Cancer       Date:  2019-01-16       Impact factor: 7.396

9.  The metabolome: A key measure for exposome research in epidemiology.

Authors:  Douglas I Walker; Damaskini Valvi; Nathaniel Rothman; Qing Lan; Gary W Miller; Dean P Jones
Journal:  Curr Epidemiol Rep       Date:  2019-04-26

10.  Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases.

Authors:  Kimberly McAllister; Leah E Mechanic; Christopher Amos; Hugues Aschard; Ian A Blair; Nilanjan Chatterjee; David Conti; W James Gauderman; Li Hsu; Carolyn M Hutter; Marta M Jankowska; Jacqueline Kerr; Peter Kraft; Stephen B Montgomery; Bhramar Mukherjee; George J Papanicolaou; Chirag J Patel; Marylyn D Ritchie; Beate R Ritz; Duncan C Thomas; Peng Wei; John S Witte
Journal:  Am J Epidemiol       Date:  2017-10-01       Impact factor: 5.363

View more
  1 in total

1.  Application of Genetic Optimization Algorithm in Financial Portfolio Problem.

Authors:  He Li; Naiyu Shi
Journal:  Comput Intell Neurosci       Date:  2022-07-15
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.