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EPMA position paper in cancer: current overview and future perspectives
Godfrey Grech1, Xianquan Zhan2, Byong Chul Yoo3
1Department of Pathology, Faculty of Medicine and Surgery, University of Malta, Msida, Malta.
Predictive, preventive, and personalized medicine (PPPM) is revolutionizing cancer care. Early detection and risk factor identification are key for better patient outcomes and quality of life.
Area of Science:
- Oncology
- Personalized Medicine
- Cancer Prevention and Screening
Background:
- Cancer treatment is undergoing a paradigm shift towards predictive, preventive, and personalized medicine (PPPM).
- PPPM emphasizes increased patient participation in healthcare decisions.
- Advancements in PPPM necessitate improved coordination among healthcare professionals and harmonized guidelines.
Purpose of the Study:
- To review current knowledge on cancer predisposition, risk factors, and cellular biology.
- To discuss advancements in predictive markers, diagnostic technologies, and drug development for personalized medicine.
- To highlight strategies for implementing personalized cancer care, including risk identification and early screening.
Main Methods:
- Review of existing literature on cancer predisposition, risk factors, and cellular biology.
- Analysis of current technologies in cancer screening and diagnosis.
- Discussion of predictive markers, treatment outcomes, and drug development solutions in the context of personalized medicine.
Main Results:
- Identification of major risk factors is crucial for effective cancer prevention strategies.
- Well-defined cancer predisposing syndromes, particularly monogenic subtypes, require focused implementation strategies for risk identification.
- Challenges in implementing personalized medicine include data misuse and the need for robust data protection measures.
Conclusions:
- Personalized medicine offers improved cancer management and quality of life through earlier detection and tailored treatments.
- Effective implementation requires addressing challenges in data management, healthcare professional coordination, and cost-benefit analyses for population screening.
- Focusing on identifying individuals at risk through genetic predisposition and risk factors is essential for preventive measures and early intervention.
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