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Precision Exercise for Breast Cancer-Related Outcomes: Towards Personalised Training Based on Tumour, Treatment and Patient Characteristics

  • Cristina Crespo-Garcia
  • , Anita Borsati
  • , Dennis R. Taaffe
  • , Carolyn J. Peddle-McIntyre
  • , John P. Campbell
  • , Alice Avancini
  • , Emily Jeffery
  • , Daniel A. Galvao
  • , Robert U. Newton
  • Edith Cowan University
  • University of Verona
  • Curtin University
  • University of Queensland

Research output: Contribution to journalReview articlepeer-review

Abstract

Exercise is a promising strategy associated with improved cancer-related outcomes through multiple biological mechanisms. However, current exercise guidelines largely adopt a one-size-fits-all approach and overlook inter-individual variability in response. Given the heterogeneity of breast cancer, precision exercise prescriptions may better target biological pathways linked to therapeutic efficacy and long-term prognosis. Observational studies consistently show that higher physical activity levels are associated with improved survival outcomes, including reduced all-cause and breast cancer-specific mortality. In contrast, evidence from interventional trials remains limited and inconsistent, with effects on tumour response and survival largely derived from secondary or exploratory analyses. These discrepancies likely reflect differences in study design, exercise dose, adherence and treatment-related factors, and may indicate that null findings are partly attributable to an insufficient or inconsistent exercise stimulus rather than a true biological non-response. Exercise influences key pathways involved in tumour progression and treatment response, including immune function, inflammation, metabolism, tumour perfusion and the gut microbiome. As these responses may vary according to tumour subtype, treatment context and host characteristics, a uniform approach to exercise prescription may fail to optimise its therapeutic potential. This review proposes a precision exercise framework that integrates tumour, treatment and patient-specific factors such as genetic and epigenetic profiles, metabolic status and body composition, systemic inflammation and the gut microbiome to guide precision exercise strategies. It also highlights the potential of digital tools, including wearable technologies and artificial intelligence, to enable data-driven personalisation and real-time adaptation, alongside key considerations for safe clinical implementation. While this framework is supported by biological plausibility, whether variability in these upstream biological responses translates into differences in cancer-related outcomes remains unknown. As such, this approach remains hypothesis generating. Future research should focus on adequately powered trials and mechanistic studies to determine whether precision exercise can meaningfully improve cancer-related outcomes in breast cancer.

Original languageEnglish
JournalSports Medicine
Early online date30 Jun 2026
DOIs
Publication statusE-pub ahead of print - 30 Jun 2026

Data Availability Statement

Not applicable.

Funding

Open Access funding enabled and organized by CAUL and its Member Institutions. No funding was received to assist with the preparation of this article.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Physical Therapy, Sports Therapy and Rehabilitation

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