Demographic Analysis of Cancer Research Priorities and Treatment Correlations

Curr Oncol. 2024 Mar 29;31(4):1839-1864. doi: 10.3390/curroncol31040139.

Abstract

Understanding the diversity in cancer research priorities and the correlations among different treatment modalities is essential to address the evolving landscape of oncology. This study, conducted in collaboration with the European Cancer Patient Coalition (ECPC) and Childhood Cancer International-Europe (CCI-E) as part of the "UNCAN.eu" initiative, analyzed data from a comprehensive survey to explore the complex interplay of demographics, time since cancer diagnosis, and types of treatments received. Demographic analysis revealed intriguing trends, highlighting the importance of tailoring cancer research efforts to specific age groups and genders. Individuals aged 45-69 exhibited highly aligned research priorities, emphasizing the need to address the unique concerns of middle-aged and older populations. In contrast, patients over 70 years demonstrated a divergence in research priorities, underscoring the importance of recognising the distinct needs of older individuals in cancer research. The analysis of correlations among different types of cancer treatments underscored the multidisciplinary approach to cancer care, with surgery, radiotherapy, chemotherapy, precision therapy, and biological therapies playing integral roles. These findings support the need for personalized and combined treatment strategies to achieve optimal outcomes. In conclusion, this study provides valuable insights into the complexity of cancer research priorities and treatment correlations in a European context. It emphasizes the importance of a multifaceted, patient-centred approach to cancer research and treatment, highlighting the need for ongoing support, adaptation, and collaboration to address the ever-changing landscape of oncology.

Keywords: cancer; demographics; oncology; patients; personalized medicine; policy; priorities; research.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Biomedical Research
  • Demography
  • Europe
  • Female
  • Humans
  • Male
  • Middle Aged
  • Neoplasms* / therapy
  • Research

Grants and funding

This research was funded by Reducing Disparities Across the European Union (BEACON) Project Number: 101080005, and by the CAN.HEAL project through the European Commission EU4Health Program 2021–2027 under Grant No. 101080009.