Your browser doesn't support javascript.
loading
Proceedings of the fourth international molecular pathological epidemiology (MPE) meeting.
Campbell, Peter T; Ambrosone, Christine B; Nishihara, Reiko; Aerts, Hugo J W L; Bondy, Melissa; Chatterjee, Nilanjan; Garcia-Closas, Montserrat; Giannakis, Marios; Golden, Jeffrey A; Heng, Yujing J; Kip, N Sertac; Koshiol, Jill; Liu, X Shirley; Lopes-Ramos, Camila M; Mucci, Lorelei A; Nowak, Jonathan A; Phipps, Amanda I; Quackenbush, John; Schoen, Robert E; Sholl, Lynette M; Tamimi, Rulla M; Wang, Molin; Weijenberg, Matty P; Wu, Catherine J; Wu, Kana; Yao, Song; Yu, Kun-Hsing; Zhang, Xuehong; Rebbeck, Timothy R; Ogino, Shuji.
Afiliación
  • Campbell PT; Behavioral and Epidemiology Research Group, American Cancer Society, 250 Williams Street NW, Atlanta, GA, 30303, USA. peter.campbell@cancer.org.
  • Ambrosone CB; Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
  • Nishihara R; Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, 450 Brookline Ave, Room SM1036, Boston, MA, 02215, USA.
  • Aerts HJWL; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Bondy M; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Chatterjee N; Departments of Radiation Oncology and Radiology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Garcia-Closas M; Cancer Prevention and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
  • Giannakis M; Department of Biostatistics, Bloomberg School of Public Health, Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Golden JA; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Heng YJ; Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.
  • Kip NS; Broad Institute of Harvard & MIT, Cambridge, MA, USA.
  • Koshiol J; Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Liu XS; Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
  • Lopes-Ramos CM; Sema4, Mount Sinai Icahn School of Medicine, Genetics & Genomic Sciences and Pathology, Branford, CT, USA.
  • Mucci LA; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Nowak JA; Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA.
  • Phipps AI; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Quackenbush J; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Schoen RE; Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Sholl LM; Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Tamimi RM; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Wang M; Departments of Medicine and Epidemiology, The University of Pittsburgh, Pittsburgh, PA, USA.
  • Weijenberg MP; Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Wu CJ; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Wu K; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Yao S; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Yu KH; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Zhang X; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Rebbeck TR; Department of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands.
  • Ogino S; Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.
Cancer Causes Control ; 30(8): 799-811, 2019 Aug.
Article en En | MEDLINE | ID: mdl-31069578
ABSTRACT
An important premise of epidemiology is that individuals with the same disease share similar underlying etiologies and clinical outcomes. In the past few decades, our knowledge of disease pathogenesis has improved, and disease classification systems have evolved to the point where no complex disease processes are considered homogenous. As a result, pathology and epidemiology have been integrated into the single, unified field of molecular pathological epidemiology (MPE). Advancing integrative molecular and population-level health sciences and addressing the unique research challenges specific to the field of MPE necessitates assembling experts in diverse fields, including epidemiology, pathology, biostatistics, computational biology, bioinformatics, genomics, immunology, and nutritional and environmental sciences. Integrating these seemingly divergent fields can lead to a greater understanding of pathogenic processes. The International MPE Meeting Series fosters discussion that addresses the specific research questions and challenges in this emerging field. The purpose of the meeting series is to discuss novel methods to integrate pathology and epidemiology; discuss studies that provide pathogenic insights into population impact; and educate next-generation scientists. Herein, we share the proceedings of the Fourth International MPE Meeting, held in Boston, MA, USA, on 30 May-1 June, 2018. Major themes of this meeting included 'integrated genetic and molecular pathologic epidemiology', 'immunology-MPE', and 'novel disease phenotyping'. The key priority areas for future research identified by meeting attendees included integration of tumor immunology and cancer disparities into epidemiologic studies, further collaboration between computational and population-level scientists to gain new insight on exposure-disease associations, and future pooling projects of studies with comparable data.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Epidemiología / Patología Molecular Tipo de estudio: Diagnostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Cancer Causes Control Asunto de la revista: EPIDEMIOLOGIA / NEOPLASIAS Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Epidemiología / Patología Molecular Tipo de estudio: Diagnostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Cancer Causes Control Asunto de la revista: EPIDEMIOLOGIA / NEOPLASIAS Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos