Literature DB >> 26987531

Incorporating Biomarkers in Studies of Chemoprevention.

Carol J Fabian1, Bruce F Kimler2.   

Abstract

Despite Food and Drug Administration approval of tamoxifen and raloxifene for breast cancer risk reduction and endorsement by multiple agencies, uptake of these drugs for primary prevention in the United States is only 4% for risk eligible women likely to benefit from their use. Side effects coupled with incomplete efficacy and lack of a survival advantage are the likely reasons. This disappointing uptake, after the considerable effort and expense of large Phase III cancer incidence trials required for approval, suggests that a new paradigm is required. Current prevention research is focused on (1) refining risk prediction, (2) exploring behavioral and natural product interventions, and (3) utilizing novel translational trial designs for efficacy. Risk biomarkers will play a central role in refining risk estimates from traditional models and selecting cohorts for prevention trials. Modifiable risk markers called surrogate endpoint or response biomarkers will continue to be used in Phase I and II prevention trials to determine optimal dose or exposure and likely effectiveness from an intervention. The majority of Phase II trials will continue to assess benign breast tissue for response and mechanism of action biomarkers. Co-trials are those in which human and animal cohorts receive the same effective dose and the same tissue biomarkers are assessed for modulation due to the intervention, but then additional animals are allowed to progress to cancer development. These collaborations linking biomarker modulation and cancer prevention may obviate the need for cancer incidence trials for non-prescription interventions.

Entities:  

Keywords:  Clinical trials; Mammographic density; Proliferation; Risk biomarker; Surrogate endpoint biomarker

Mesh:

Substances:

Year:  2016        PMID: 26987531     DOI: 10.1007/978-3-319-22909-6_3

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  3 in total

Review 1.  Mammographic density, endocrine therapy and breast cancer risk: a prognostic and predictive biomarker review.

Authors:  Emma C Atakpa; Mangesh A Thorat; Jack Cuzick; Adam R Brentnall
Journal:  Cochrane Database Syst Rev       Date:  2021-10-26

2.  Surrogate disease markers as substitutes for chronic disease outcomes in studies of diet and chronic disease relations.

Authors:  Elizabeth A Yetley; David L DeMets; William R Harlan
Journal:  Am J Clin Nutr       Date:  2017-10-11       Impact factor: 7.045

3.  Chemoprevention Agents to Reduce Mammographic Breast Density in Premenopausal Women: A Systematic Review of Clinical Trials.

Authors:  Ana S Salazar; Malika Rakhmankulova; Laura E Simon; Adetunji T Toriola
Journal:  JNCI Cancer Spectr       Date:  2021-01-22
  3 in total

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