The Promise and the Hype of 'Personalised Medicine'

Tim Maughan1

  • 1a CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford , Oxford , UK.

Insights

Personalised medicine faces challenges in complex diseases like cancer due to tumour heterogeneity. A realistic approach focusing on genomics and the individual is crucial for future healthcare improvements.

Area of Science:

  • Genomic Medicine
  • Oncology
  • Healthcare Policy

Background:

  • Personalised medicine is a highly anticipated future in healthcare.
  • Progress in applying personalised medicine to cancer has been limited by tumor heterogeneity and clonal evolution.
  • Diseases with single genetic origins are more suitable for precision medicine than complex multifactorial diseases.

Purpose of the Study:

  • To critically evaluate the current state and future prospects of personalised medicine.
  • To address the challenges hindering the widespread adoption of personalised medicine, particularly in complex diseases.
  • To advocate for a balanced perspective on personalised medicine, integrating genomic insights with holistic patient care.

Main Methods:

  • Literature review and critical analysis of current research and clinical practices in personalised medicine.
  • Examination of the impact of tumour heterogeneity and clonal evolution on cancer treatment.
  • Discussion of the complexities of multifactorial diseases in the context of precision medicine.

Main Results:

  • The application of personalised medicine in cancer has not met expectations due to significant biological complexities.
  • Most common diseases involve intricate genetic and environmental interactions, posing substantial challenges for personalised medicine.
  • Current enthusiasm for personalised medicine may be misdirecting clinical resources and research priorities.

Conclusions:

  • A realistic appraisal of genomics' capabilities is essential for advancing personalised medicine.
  • Focusing on the individual patient beyond their genome is vital for effective healthcare.
  • Integrating genomic data with a comprehensive understanding of the patient will drive meaningful health improvements.

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