Exploring the impact of body mass index on tumor biology and cancer development

Johanne Ahrenfeldt, Stine Carstensen, Ida Maria Hemdorff Eriksen, Nicolai Juul Birkbak*

*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Abstract

Purpose: Cancer continues to be a major global health challenge, affecting millions of individuals and placing substantial burdens on healthcare systems worldwide. Recent research suggests a complex relationship between obesity and cancer, with obesity increasing the risk of various cancers while potentially improving outcomes for diagnosed patients, a phenomenon termed the "obesity paradox". In this study, we used a cohort of 1781 patients to investigate the impact of obesity on tumor characteristics, including gene expression, pathway dysfunction, genetic alterations and immune infiltration. Methods: Patient samples spanned 10 different cancer types, and were obtained from the Cancer Genome Atlas, with annotations for body mass index (BMI), age, sex, tumor size and tumor gene expression data. Results: When we compared the proportion of large (T3–T4) to small tumors (T1–T2) between obese and non-obese patients, we found that obese patients tended to present with smaller, less invasive tumors and exhibited distinct gene expression profiles, particularly in metabolic and proliferative pathways. Moreover, smaller tumors in obese patients show higher immune cell infiltration and increased T cell diversity, suggesting enhanced immune activity. Conclusion: Taken together, these findings highlight the influence of obesity on tumor biology, with implications for personalized treatment strategies that consider patient physiology alongside tumor characteristics.

Original languageEnglish
Article number372
JournalJournal of Cancer Research and Clinical Oncology
Volume150
Issue7
ISSN0171-5216
DOIs
Publication statusPublished - Jul 2024

Keywords

  • Cancer and obesity
  • Pathway analysis
  • Transcriptomics
  • Tumor aggresiveness
  • Tumor biology

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