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Published on: February 23, 2024
The paradigm of personalized therapy in oncology
Giampietro Gasparini1, Raffaele Longo
1San Filippo Neri Hospital, Division of MedicalOncology, via G. Martinotti, 20 Rome, Italy. gasparini.oncology@hotmail.it
Introduction:
Currently, anticancer therapy is mainly based on histology and on giving the same treatment to presumed homogeneous patients. The switch from histology-driven therapy to molecular clinical oncology is correlated with a better understanding of the 'molecular taxonomy' of each tumor that can provide us with targets for specific drugs. Cancer therapy is moving irreversibly towards personalized therapy that benefits selected patients. Once the potential therapeutic targets are identified, the availability of predictive biomarkers is the key element and their prospective evaluation should be a parallel component of the clinical evaluation of a new drug.
Areas Covered:
The state of the art in clinical results of personalized therapy. The authors discuss the finding that, in patients with advanced disease, a limited number of targeted agents improve overall survival, whilst the majority only have an effect on response rate and/or time to tumor progression, with efficacy limited in time due to acquired resistance.
Expert Opinion:
The mechanisms leading to resistance are related to tumor cell heterogeneity and in part explained by the cancer stem cell model and genetic instability. The steps toward the optimization of tailored therapy need validated predictive biomarkers, pharmacogenetics analysis and a close collaboration between bench and bedside.
Insights
Personalized anticancer therapy targets molecular tumor characteristics for improved patient outcomes. Optimizing tailored treatments requires validated biomarkers and understanding resistance mechanisms like tumor heterogeneity.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacology
Background:
- Anticancer therapy is shifting from histology-based treatments to molecularly targeted approaches.
- Understanding tumor molecular taxonomy enables the identification of specific drug targets.
- Personalized therapy aims to benefit selected patients based on their tumor's molecular profile.
Purpose of the Study:
- To review the current clinical results of personalized anticancer therapy.
- To discuss the efficacy and limitations of targeted agents in advanced cancer.
- To highlight the importance of predictive biomarkers in drug evaluation.
Main Methods:
- Review of the state of the art in personalized therapy clinical results.
- Discussion of targeted agents' impact on overall survival, response rate, and time to tumor progression.
- Analysis of factors contributing to acquired resistance.
Main Results:
- A limited number of targeted agents improve overall survival in advanced cancer patients.
- Most targeted agents primarily affect response rate or time to tumor progression.
- Efficacy of targeted agents is often limited by the development of acquired resistance.
Conclusions:
- Tumor cell heterogeneity and the cancer stem cell model contribute to resistance.
- Validated predictive biomarkers and pharmacogenetics are crucial for optimizing tailored therapies.
- Close collaboration between research (bench) and clinical practice (bedside) is essential.
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