Literature DB >> 23462925

Bridging the gap between biologic, individual, and macroenvironmental factors in cancer: a multilevel approach.

Shannon M Lynch1, Timothy R Rebbeck.   

Abstract

To address the complex nature of cancer occurrence and outcomes, approaches have been developed to simultaneously assess the role of two or more etiologic agents within hierarchical levels including the: (i) macroenvironment level (e.g., health care policy, neighborhood, or family structure); (ii) individual level (e.g., behaviors, carcinogenic exposures, socioeconomic factors, and psychologic responses); and (iii) biologic level (e.g., cellular biomarkers and inherited susceptibility variants). Prior multilevel approaches tend to focus on social and environmental hypotheses, and are thus limited in their ability to integrate biologic factors into a multilevel framework. This limited integration may be related to the limited translation of research findings into the clinic. We propose a "Multi-level Biologic and Social Integrative Construct" (MBASIC) to integrate macroenvironment and individual factors with biology. The goal of this framework is to help researchers identify relationships among factors that may be involved in the multifactorial, complex nature of cancer etiology, to aid in appropriate study design, to guide the development of statistical or mechanistic models to study these relationships, and to position the results of these studies for improved intervention, translation, and implementation. MBASIC allows researchers from diverse fields to develop hypotheses of interest under a common conceptual framework, to guide transdisciplinary collaborations, and to optimize the value of multilevel studies for clinical and public health activities.

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Year:  2013        PMID: 23462925      PMCID: PMC3645448          DOI: 10.1158/1055-9965.EPI-13-0010

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  71 in total

1.  Gene-environment interactions in genome-wide association studies: a comparative study of tests applied to empirical studies of type 2 diabetes.

Authors:  Marilyn C Cornelis; Eric J Tchetgen Tchetgen; Liming Liang; Lu Qi; Nilanjan Chatterjee; Frank B Hu; Peter Kraft
Journal:  Am J Epidemiol       Date:  2011-12-22       Impact factor: 4.897

Review 2.  Translating social ecological theory into guidelines for community health promotion.

Authors:  D Stokols
Journal:  Am J Health Promot       Date:  1996 Mar-Apr

Review 3.  Identification of new genetic risk factors for prostate cancer.

Authors:  Michelle Guy; Zsofia Kote-Jarai; Graham G Giles; Ali Amin Al Olama; Sarah K Jugurnauth; Shani Mulholland; Daniel A Leongamornlert; Stephen M Edwards; Jonathan Morrison; Helen I Field; Melissa C Southey; Gianluca Severi; Jenny L Donovan; Freddie C Hamdy; David P Dearnaley; Kenneth R Muir; Charmaine Smith; Melisa Bagnato; Audrey T Ardern-Jones; Amanda L Hall; Lynne T O'Brien; Beatrice N Gehr-Swain; Rosemary A Wilkinson; Angela Cox; Sarah Lewis; Paul M Brown; Sameer G Jhavar; Malgorzata Tymrakiewicz; Artitaya Lophatananon; Sarah L Bryant; Alan Horwich; Robert A Huddart; Vincent S Khoo; Christopher C Parker; Christopher J Woodhouse; Alan Thompson; Tim Christmas; Chris Ogden; Cyril Fisher; Charles Jameson; Colin S Cooper; Dallas R English; John L Hopper; David E Neal; Douglas F Easton; Rosalind A Eeles
Journal:  Asian J Androl       Date:  2008-12-01       Impact factor: 3.285

4.  Prostate-specific antigen as a serum marker for adenocarcinoma of the prostate.

Authors:  T A Stamey; N Yang; A R Hay; J E McNeal; F S Freiha; E Redwine
Journal:  N Engl J Med       Date:  1987-10-08       Impact factor: 91.245

5.  Prostate cancer screening between low-income African-American and Caucasian men.

Authors:  Jay H Fowke; David Schlundt; Lisa B Signorello; Flora A M Ukoli; William J Blot
Journal:  Urol Oncol       Date:  2005 Sep-Oct       Impact factor: 3.498

6.  Incorporating biological information into association studies of sequencing data.

Authors:  Gary K Chen; Gary Chen; Peng Wei; Anita L DeStefano
Journal:  Genet Epidemiol       Date:  2011       Impact factor: 2.135

Review 7.  Environmental asbestos exposure and mesothelioma.

Authors:  M R Orenstein; M B Schenker
Journal:  Curr Opin Pulm Med       Date:  2000-07       Impact factor: 3.155

8.  Context-dependent effects of genome-wide association study genotypes and macroenvironment on time to biochemical (prostate specific antigen) failure after prostatectomy.

Authors:  Timothy R Rebbeck; Anita L Weber; Amy H Walker; Klara Stefflova; Teo V Tran; Elaine Spangler; Bao-Li Chang; Charnita M Zeigler-Johnson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-09       Impact factor: 4.254

9.  Molecular cancer epidemiology: a new tool in cancer prevention.

Authors:  F P Perera
Journal:  J Natl Cancer Inst       Date:  1987-05       Impact factor: 13.506

Review 10.  Epidemiology of prostate cancer.

Authors:  E David Crawford
Journal:  Urology       Date:  2003-12-22       Impact factor: 2.649

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  42 in total

1.  Impact of Social and Built Environment Factors on Body Size among Breast Cancer Survivors: The Pathways Study.

Authors:  Salma Shariff-Marco; Julie Von Behren; Peggy Reynolds; Theresa H M Keegan; Andrew Hertz; Marilyn L Kwan; Janise M Roh; Catherine Thomsen; Candyce H Kroenke; Christine Ambrosone; Lawrence H Kushi; Scarlett Lin Gomez
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-02-02       Impact factor: 4.254

2.  Neighborhood Predictors of Mammography Barriers Among US-Based Latinas.

Authors:  Yamile Molina; Jesse J Plascak; Donald L Patrick; Sonia Bishop; Gloria D Coronado; Shirley A A Beresford
Journal:  J Racial Ethn Health Disparities       Date:  2016-04-08

Review 3.  The impact of neighborhood social and built environment factors across the cancer continuum: Current research, methodological considerations, and future directions.

Authors:  Scarlett Lin Gomez; Salma Shariff-Marco; Mindy DeRouen; Theresa H M Keegan; Irene H Yen; Mahasin Mujahid; William A Satariano; Sally L Glaser
Journal:  Cancer       Date:  2015-04-06       Impact factor: 6.860

4.  A conceptual model of social networks and mechanisms of cancer mortality, and potential strategies to improve survival: an invited commentary.

Authors:  Yamilé Molina
Journal:  Transl Behav Med       Date:  2018-07-17       Impact factor: 3.046

Review 5.  Disadvantaged neighborhoods and racial disparity in breast cancer outcomes: the biological link.

Authors:  Geetanjali Saini; Angela Ogden; Lauren E McCullough; Mylin Torres; Padmashree Rida; Ritu Aneja
Journal:  Cancer Causes Control       Date:  2019-05-20       Impact factor: 2.506

6.  Use of empiric methods to inform prostate cancer health disparities: Comparison of neighborhood-wide association study "hits" in black and white men.

Authors:  Shannon M Lynch; Kristen Sorice; Erin K Tagai; Elizabeth A Handorf
Journal:  Cancer       Date:  2020-02-03       Impact factor: 6.860

7.  Multilevel analysis in rural cancer control: A conceptual framework and methodological implications.

Authors:  Whitney E Zahnd; Sara L McLafferty; Jan M Eberth
Journal:  Prev Med       Date:  2019-09-11       Impact factor: 4.018

8.  Characterizing the neighborhood obesogenic environment in the Multiethnic Cohort: a multi-level infrastructure for cancer health disparities research.

Authors:  Shannon M Conroy; Salma Shariff-Marco; Juan Yang; Andrew Hertz; Myles Cockburn; Yurii B Shvetsov; Christina A Clarke; Cheryl L Abright; Christopher A Haiman; Loïc Le Marchand; Laurence N Kolonel; Kristine R Monroe; Lynne R Wilkens; Scarlett Lin Gomez; Iona Cheng
Journal:  Cancer Causes Control       Date:  2017-12-08       Impact factor: 2.506

9.  The "Empowering Latinas to Obtain Breast Cancer Screenings" study: Rationale and design.

Authors:  Yamile Molina; Liliana G San Miguel; Lizeth Tamayo; Casandra Robledo; Carola Sánchez Díaz; Araceli Lucio; Nora Coronado; Carol Estwing Ferrans
Journal:  Contemp Clin Trials       Date:  2018-05-25       Impact factor: 2.226

Review 10.  Evolution of the "drivers" of translational cancer epidemiology: analysis of funded grants and the literature.

Authors:  Tram Kim Lam; Christine Q Chang; Scott D Rogers; Muin J Khoury; Sheri D Schully
Journal:  Am J Epidemiol       Date:  2015-03-11       Impact factor: 4.897

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