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The Cancer Spectrum Theory.
Lee, Hwa-Young; Song, Minkyo; Stopsack, Konrad H; Peng, Cheng; Phipps, Amanda I; Wang, Molin; Ogino, Shuji; Sasamoto, Naoko; Ugai, Tomotaka.
Afiliação
  • Lee HY; Graduate School of Public Health and Healthcare Management, The Catholic University of Korea, Seoul, Republic of Korea.
  • Song M; Catholic Institute for Public Health and Healthcare Management, The Catholic University of Korea, Seoul, Republic of Korea.
  • Stopsack KH; Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, Maryland.
  • Peng C; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Phipps AI; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Wang M; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
  • Ogino S; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.
  • Sasamoto N; Department of Epidemiology, University of Washington, Seattle, Washington.
  • Ugai T; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Cancer Discov ; 14(4): 589-593, 2024 Apr 04.
Article em En | MEDLINE | ID: mdl-38571425
ABSTRACT

SUMMARY:

Biological characteristics of tumors are heterogeneous, forming spectra in terms of several factors such as age at onset, anatomic spatial localization, tumor subtyping, and the degree of tumor aggressiveness (encompassing a neoplastic property spectrum). Instead of blindly using dichotomized approaches, the application of the multicategorical and continuous analysis approaches to detailed cancer spectrum data can contribute to a better understanding of the etiology of cancer, ultimately leading to effective prevention and precision oncology. We provide examples of cancer spectra and emphasize the importance of integrating the cancer spectrum theory into large-scale population cancer research.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Idioma: En Ano de publicação: 2024 Tipo de documento: Article