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Proceedings of the third international molecular pathological epidemiology (MPE) meeting

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Abstract

Molecular pathological epidemiology (MPE) is a transdisciplinary and relatively new scientific discipline that integrates theory, methods, and resources from epidemiology, pathology, biostatistics, bioinformatics, and computational biology. The underlying objective of MPE research is to better understand the etiology and progression of complex and heterogeneous human diseases with the goal of informing prevention and treatment efforts in population health and clinical medicine. Although MPE research has been commonly applied to investigating breast, lung, and colorectal cancers, its methodology can be used to study most diseases. Recent successes in MPE studies include: (1) the development of new statistical methods to address etiologic heterogeneity; (2) the enhancement of causal inference; (3) the identification of previously unknown exposure-subtype disease associations; and (4) better understanding of the role of lifestyle/behavioral factors on modifying prognosis according to disease subtype. Central challenges to MPE include the relative lack of transdisciplinary experts, educational programs, and forums to discuss issues related to the advancement of the field. To address these challenges, highlight recent successes in the field, and identify new opportunities, a series of MPE meetings have been held at the Dana–Farber Cancer Institute in Boston, MA. Herein, we share the proceedings of the Third International MPE Meeting, held in May 2016 and attended by 150 scientists from 17 countries. Special topics included integration of MPE with immunology and health disparity research. This meeting series will continue to provide an impetus to foster further transdisciplinary integration of divergent scientific fields.

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Acknowledgments

Grant support: NIH R13 CA203287 (to S.O.: supported by the National Cancer Institute, National Human Genome Research Institute, and National Institute of Environmental Health Sciences). R35 CA197735 (to S.O.). P30 CA006516 (Dana–Farber Harvard Cancer Center Support Grant; to E.J. Benz;). Nodal Award (to S.O.) from Dana–Farber Harvard Cancer Center.

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Authors and Affiliations

  1. Epidemiology Research Program, American Cancer Society, 250 Williams Street NW, Atlanta, GA, 30303, USA

    Peter T. Campbell

  2. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA

    Timothy R. Rebbeck, Daniel Nevo, Elizabeth M. Poole, Stephanie A. Smith-Warner, Tyler J. VanderWeele, Molin Wang & Shuji Ogino

  3. Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA

    Timothy R. Rebbeck, Reiko Nishihara, Gordon J. Freeman, Zhi Rong Qian & Shuji Ogino

  4. Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA

    Reiko Nishihara, Yin Cao, Stephanie A. Smith-Warner & Mingyang Song

  5. Cancer Research Institute, Beth Israel Deaconess Cancer Center, Boston, MA, USA

    Andrew H. Beck & Yujing J. Heng

  6. Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA

    Andrew H. Beck & Yujing J. Heng

  7. Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA

    Colin B. Begg & Emily C. Zabor

  8. Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA

    Alexei A. Bogdanov

  9. Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA

    Yin Cao & Mingyang Song

  10. Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA

    Yin Cao

  11. Epidemiology and Health Services Research Group, Centre for Public Health, Queens University Belfast, Belfast, Northern Ireland

    Helen G. Coleman

  12. Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA

    Curtis Huttenhower, Rafael A. Irizarry, Franziska Michor, Daniel Nevo & John Quackenbush

  13. Microbial Systems and Communities, Genome Sequencing and Analysis Program, The Broad Institute, Cambridge, MA, USA

    Curtis Huttenhower

  14. Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA

    Rafael A. Irizarry, Franziska Michor & John Quackenbush

  15. Laboratory Medicine and Pathology, Geisinger Health System, Danville, PA, USA

    N. Sertac Kip

  16. Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA

    Ulrike Peters, Amanda I. Phipps & Harlan Robins

  17. Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA

    Ulrike Peters & Amanda I. Phipps

  18. Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA

    Elizabeth M. Poole & Xuehong Zhang

  19. Department of Biochemistry, University of Western Ontario, London, Canada

    Peter K. Rogan

  20. University of Utah School of Medicine, Salt Lake City, UT, USA

    Martha L. Slattery

  21. Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA

    Daniel Xia

  22. Division of 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

    Shuji Ogino

  23. Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA

    Shuji Ogino

Authors
  1. Peter T. Campbell
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  2. Timothy R. Rebbeck
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  3. Reiko Nishihara
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  4. Andrew H. Beck
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  5. Colin B. Begg
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  6. Alexei A. Bogdanov
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  7. Yin Cao
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  8. Helen G. Coleman
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  9. Gordon J. Freeman
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  10. Yujing J. Heng
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  11. Curtis Huttenhower
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  12. Rafael A. Irizarry
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  13. N. Sertac Kip
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  14. Franziska Michor
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  15. Daniel Nevo
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  16. Ulrike Peters
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  17. Amanda I. Phipps
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  18. Elizabeth M. Poole
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  19. Zhi Rong Qian
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  20. John Quackenbush
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  21. Harlan Robins
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  22. Peter K. Rogan
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  23. Martha L. Slattery
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  24. Stephanie A. Smith-Warner
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  25. Mingyang Song
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  26. Tyler J. VanderWeele
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  27. Daniel Xia
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  28. Emily C. Zabor
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  29. Xuehong Zhang
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  30. Molin Wang
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  31. Shuji Ogino
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Corresponding authors

Correspondence to Peter T. Campbell or Shuji Ogino.

Additional information

P. T. Campbell and S. Ogino contributed equally to this work.

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Campbell, P.T., Rebbeck, T.R., Nishihara, R. et al. Proceedings of the third international molecular pathological epidemiology (MPE) meeting. Cancer Causes Control 28, 167–176 (2017). https://doi.org/10.1007/s10552-016-0845-z

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