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Molecular Profiling-Selected Therapy for Treatment of Advanced Pancreaticobiliary Cancer: A Retrospective Multicenter Study

  • Technion-Israel Institute of Technology
  • Sheba Medical Center at Tel Hashomer
  • Assuta Hospital
  • Meir Hospital Sapir Medical Center
  • Department of Oncology, Rambam Health Care Campus
  • Rabin Medical Center Israel
  • Edith Wolfson Medical Center Israel
  • Tel Aviv Sourasky Medical Center
  • Hadassah University Medical Centre
  • Hebrew University of Jerusalem
  • Caris Life Sciences
  • Teva Pharmaceutical Industries Ltd.

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This multicenter cohort study assessed the impact of molecular profiling (MP) on advanced pancreaticobiliary cancer (PBC). The study included 30 patients treated with MP-guided therapy after failing ≥1 therapy for advanced PBC. Treatment was considered as having benefit for the patient if the ratio between the longest progression-free survival (PFS) on MP-guided therapy and the PFS on the last therapy before MP was ≥1.3. The null hypothesis was that ≤15% of patients gain such benefit. Overall, ≥1 actionable (i.e., predictive of response to specific therapies) biomarker was identified/patient. Immunohistochemistry (the most commonly used method for guiding treatment decisions) identified 1-6 (median: 4) actionable biomarkers per patient. After MP, patients received 1-4 (median: 1) regimens/patient (most commonly, FOLFIRI/XELIRI). In a decision-impact analysis, of the 27 patients for whom treatment decisions before MP were available, 74.1% experienced a treatment decision change in the first line after MP. Twenty-four patients were evaluable for clinical outcome analysis; in 37.5%, the PFS ratio was ≥1.3. In one-sided exact binomial test versus the null hypothesis, P = 0.0015; therefore, the null hypothesis was rejected. In conclusion, our analysis demonstrated the feasibility, clinical decision impact, and potential clinical benefits of MP-guided therapy in advanced PBC.

Original languageEnglish
Article number681653
JournalBioMed Research International
Volume2015
DOIs
StatePublished - 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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