Systematic review and meta-analysis on targeted therapy in advanced pancreatic cancer

Domenico Ciliberto1, Nicoletta Staropoli1, Silvia Chiellino1

  • 1Medical Oncology and Translational Medical Oncology Units, Department of Experimental and Clinical Medicine, Magna Graecia University, AOU Materdomini Catanzaro, CampusSalvatore Venuta, Catanzaro 88100, Italy.

Abstract

Insights

Targeted therapy shows no overall survival benefit for advanced pancreatic cancer patients. Further research is needed to identify predictive factors for patient selection in clinical trials.

Area of Science:

  • Oncology
  • Clinical Trials
  • Cancer Therapeutics

Background:

  • Advanced pancreatic cancer has a poor prognosis with limited treatment options.
  • Targeted therapies aim to inhibit specific molecular pathways involved in cancer growth.
  • Evaluating the efficacy of targeted agents is crucial for improving patient outcomes.

Purpose of the Study:

  • To systematically review and meta-analyze randomized clinical trials on targeted therapy for advanced pancreatic cancer.
  • To assess the impact of targeted agents on overall survival, progression-free survival, and response rates.

Main Methods:

  • Systematic literature search of databases and cancer meeting proceedings (2007-2015).
  • Inclusion of 27 randomized clinical trials with 8205 patients.
  • Random effects model meta-analysis to evaluate predefined endpoints, including Hazard Ratios and response rates.

Main Results:

  • Anti-EGFR agents showed a significant benefit in overall survival (HR=0.880; p=0.011).
  • Pooled analysis revealed no significant benefit for targeted therapies versus conventional treatments in overall survival (p=0.153) or progression-free survival (p=0.075).
  • No significant advantage in response rates was observed (OR=1.210; p=0.063).

Conclusions:

  • Molecular targeted agents, in general, do not currently translate into significant clinical benefit for advanced pancreatic cancer.
  • Identification of predictive biomarkers is essential for patient selection.
  • Future clinical trials should be rationally designed to maximize the potential of targeted therapies.