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

Abstract

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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