2026· International Research Journal of Medicine and Surgery· 0 citations· 27 references
TL;DR
The biological rationale rooted in the genomic basis of cancer and the concept of oncogene addiction is outlined, and the enabling technologies - next-generation sequencing, comprehensive genomic profiling, large reference atlases, and liquid biopsy - are described that have made molecular characterization feasible in routine care.
Abstract
Personalized medicine, also called precision medicine, is an approach to disease prevention and treatment that accounts for individual variability in genes, environment, and lifestyle. In oncology it has driven a decisive shift away from empirical, one-size-fits-all chemotherapy toward biomarker-directed care in which the molecular profile of a tumour, rather than its anatomical site alone, guides treatment selection. This review summarizes the current status and future prospects of personalized oncology. It outlines the biological rationale rooted in the genomic basis of cancer and the concept of oncogene addiction, and describes the enabling technologies - next-generation sequencing, comprehensive genomic profiling, large reference atlases, and liquid biopsy that have made molecular characterization feasible in routine care. The clinical achievements of targeted therapy are reviewed across haematological and solid tumours, together with the advent of immune checkpoint blockade and the first histology-independent, biomarkerdefined drug approvals. Innovations in clinical trial design, including basket and umbrella trials and frameworks for ranking the clinical actionability of molecular alterations, are considered alongside cellular therapies such as chimeric antigen receptor T cells. The review also addresses persistent challenges drug resistance, tumour heterogeneity, the still-modest proportion of patients who benefit, and issues of cost and equitable access before considering future directions in multi-omics, minimal residual disease monitoring, combination strategies, and the integration of artificial intelligence. Realizing the full promise of personalized oncology will require continued biological discovery, pragmatic trial designs, and deliberate attention to accessibility.
This review comprehensively synthesizes the evolutionary trajectory of genomic, transcriptomic, epigenetic, and spatial multi‐omic diagnostic pipelines and provides a unified, cross‐disciplinary blueprint to accelerate the transition of precision oncology from data‐rich analytical exploration to definitive clinical exe...
Asif Jan, Bushra Waheed, Rani Akbar et al.· Precision Medical Sciences· 0 citations
To improve reproducibility and worldwide applicability, future work will focus on standardizing biomarker validation, employing adaptive clinical trial designs, and integrating multi-omic data.
Keshava Kyatanahalli Shekharappa, Mohammad Ali· Current Chemical Biology· 0 citations
This narrative review explores the evolving role of biomarkers across cardiovascular, renal, neurological, metabolic, metabolic, and respiratory diseases, focusing on their clinical and regulatory contexts of use-diagnostic, prognostic, predictive, surrogate, safety, and pharmacodynamic/response.
Achilleas Livieratos, Laura Goea, V. Das et al.· Therapeutic Innovation and...· 0 citations
The identification of new molecular targets and the growth of personalized therapies for cancer depend on current studies, and it is believed that new advances in molecular science will contribute to the development of innovative and successful methods for therapy, and eventually decrease the prevalence of malignancies...
Hardha Balachandran, Gowramma Byran, S. Murugesan et al.· Current Cancer Drug Targets· 0 citations
Recent advances ranging from aberrant genetic and epigenetic alterations; dysregulation of oncogenic signaling pathways; sophisticated crosstalk within the tumor microenvironment; intricate microbiota-inflammation interactions; fundamental discoveries to potential clinical translation; and emerging therapeutic strategi...
Xi-Ya Cheng, Yun-Shu Ma, Jing-Lu Yan et al.· Oncology Research· 0 citations
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