1. Molecular profiling of cancer patients enables personalized combination therapy: the I-PREDICT study
- Author
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Ryosuke Okamura, Razelle Kurzrock, J. Jack Lee, Philip J. Stephens, Michael E. Hahn, Shumei Kato, Amy Krie, Jennifer Webster, Jeffrey S. Ross, Brian Leyland-Jones, David Piccioni, Pradip De, Scott M. Lippman, Maria Schwaederle, Adam Benson, Paul T. Fanta, Vincent A. Miller, Jason K. Sicklick, and Casey Williams
- Subjects
Male ,0301 basic medicine ,Oncology ,Medical Oncology ,Medical and Health Sciences ,0302 clinical medicine ,Neoplasms ,80 and over ,Prospective Studies ,Molecular Targeted Therapy ,Precision Medicine ,Young adult ,Prospective cohort study ,Cancer ,media_common ,High-Throughput Nucleotide Sequencing ,General Medicine ,Middle Aged ,Combined Modality Therapy ,Progression-Free Survival ,3. Good health ,6.1 Pharmaceuticals ,030220 oncology & carcinogenesis ,Female ,Biotechnology ,Adult ,Drug ,medicine.medical_specialty ,Combination therapy ,media_common.quotation_subject ,Clinical Trials and Supportive Activities ,Immunology ,Article ,General Biochemistry, Genetics and Molecular Biology ,Young Adult ,03 medical and health sciences ,Rare Diseases ,Clinical Research ,Internal medicine ,Genetics ,medicine ,Humans ,Progression-free survival ,Aged ,Organizations ,business.industry ,Patient Selection ,Gene Expression Profiling ,Evaluation of treatments and therapeutic interventions ,Precision medicine ,Clinical trial ,Good Health and Well Being ,030104 developmental biology ,business - Abstract
Cancer treatments have evolved from indiscriminate cytotoxic agents to selective genome- and immune-targeted drugs that have transformed outcomes for some malignancies.1 Tumor complexity and heterogeneity suggest that the “precision medicine” paradigm of cancer therapy requires treatment to be personalized to the individual patient.2–6 To date, precision oncology trials have been based upon molecular matching with predetermined monotherapies.7–14 Several of these trials have been hindered by very low matching rates, often in the 5–10% range,15 and low response rates. Low matching rates may be due to the use of limited gene panels, restrictive molecular matching algorithms, lack of drug availability or the deterioration and death of end-stage patients before therapy can be implemented. We hypothesized that personalized treatment with combination therapies would improve outcomes in patients with refractory malignancies. As a first test of this concept, we implemented a cross-institutional, prospective study (I-PREDICT, NCT02534675) that used tumor DNA sequencing and timely recommendations for individualized treatment with combination therapies. We found that administration of customized multi-drug regimens was feasible, with 49% of consented patients receiving personalized treatment. Targeting of a larger fraction of identified molecular alterations, yielding a higher “matching score,” was correlated with significantly improved disease control rates, as well as longer progression-free and overall survival rates, as compared to when fewer somatic alterations were targeted. Our findings suggest that the current clinical trial paradigm for precision oncology, which pairs one driver mutation with one drug, may be optimized by treating molecularly complex and heterogeneous cancers with combinations of customized agents.
- Published
- 2019