Initiative for Molecular Profiling and Advanced Cancer Therapy (IMPACT): An MD Anderson Precision Medicine Study.

PURPOSE Genomic profiling is increasingly used in the management of cancer. We have previously reported preliminary results of our precision medicine program. Here, we present response and survival outcomes for 637 additional patients who were referred for phase I trials and were treated with matched targeted therapy (MTT) when available. PATIENTS AND METHODS Patients with advanced cancer who underwent tumor genomic analyses were treated with MTT when available. RESULTS Overall, 1,179 (82.1%) of 1,436 patients had one or more alterations (median age, 59.7 years; men, 41.2%); 637 had one or more actionable aberrations and were treated with MTT (n = 390) or non-MTT (n = 247). Patients who were treated with MTT had higher rates of complete and partial response (11% v 5%; P = .0099), longer failure-free survival (FFS; 3.4 v 2.9 months; P = .0015), and longer overall survival (OS; 8.4 v 7.3 months; P = .041) than did unmatched patients. Two-month landmark analyses showed that, for MTT patients, FFS for responders versus nonresponders was 7.6 versus 4.3 months (P < .001) and OS was 23.4 versus 8.5 months (P < .001), whereas for non-MTT patients (responders v nonresponders), FFS was 6.6 versus 4.1 months (P = .001) and OS was 15.2 versus 7.5 months (P = .43). Patients with phosphatidylinositol 3-kinase (PI3K) and mitogen-activated protein kinase pathway alterations matched to PI3K/Akt/mammalian target of rapamycin axis inhibitors alone demonstrated outcomes comparable to unmatched patients. CONCLUSION Our results support the use of genomic matching. Subset analyses indicate that matching patients who harbor a PI3K and mitogen-activated protein kinase pathway alteration to only a PI3K pathway inhibitor does not improve outcome. We have initiated IMPACT2, a randomized trial to compare treatment with and without genomic selection.

[1]  Razelle Kurzrock,et al.  Targeted therapies: What have we learned from SHIVA? , 2016, Nature Reviews Clinical Oncology.

[2]  R. Yelensky,et al.  TP53 Alterations Correlate with Response to VEGF/VEGFR Inhibitors: Implications for Targeted Therapeutics , 2016, Molecular Cancer Therapeutics.

[3]  R. Yelensky,et al.  Cancer Therapy Directed by Comprehensive Genomic Profiling: A Single Center Study. , 2016, Cancer research.

[4]  D. Liebner,et al.  TP53 mutational status is predictive of pazopanib response in advanced sarcomas. , 2016, Annals of oncology : official journal of the European Society for Medical Oncology.

[5]  R. Kurzrock,et al.  Precision medicine: lessons learned from the SHIVA trial. , 2015, The Lancet. Oncology.

[6]  Nicolas Servant,et al.  Molecularly targeted therapy based on tumour molecular profiling versus conventional therapy for advanced cancer (SHIVA): a multicentre, open-label, proof-of-concept, randomised, controlled phase 2 trial. , 2015, The Lancet. Oncology.

[7]  Razelle Kurzrock,et al.  Precision oncology: the UC San Diego Moores Cancer Center PREDICT experience. , 2015 .

[8]  R. Kurzrock,et al.  On the Road to Precision Cancer Medicine: Analysis of Genomic Biomarker Actionability in 439 Patients , 2015, Molecular Cancer Therapeutics.

[9]  Razelle Kurzrock,et al.  PD-L1 Expression as a Predictive Biomarker in Cancer Immunotherapy , 2015, Molecular Cancer Therapeutics.

[10]  Pierre Validire,et al.  VEGF-A Expression Correlates with TP53 Mutations in Non-Small Cell Lung Cancer: Implications for Antiangiogenesis Therapy. , 2015, Cancer research.

[11]  Razelle Kurzrock,et al.  Personalized Medicine for Patients with Advanced Cancer in the Phase I Program at MD Anderson: Validation and Landmark Analyses , 2014, Clinical Cancer Research.

[12]  K. Aldape,et al.  Characteristics and survival of patients with advanced cancer and p53 mutations , 2014, Oncotarget.

[13]  William Pao,et al.  Using multiplexed assays of oncogenic drivers in lung cancers to select targeted drugs. , 2014, JAMA.

[14]  Razelle Kurzrock,et al.  Assessing PIK3CA and PTEN in early-phase trials with PI3K/AKT/mTOR inhibitors. , 2014, Cell reports.

[15]  J. Lee,et al.  P53 Mutations in Advanced Cancers: Clinical Characteristics, Outcomes, and Correlation between Progression-Free Survival and Bevacizumab-Containing Therapy , 2013, Oncotarget.

[16]  Razelle Kurzrock,et al.  Personalized Medicine in a Phase I Clinical Trials Program: The MD Anderson Cancer Center Initiative , 2012, Clinical Cancer Research.

[17]  R. Kurzrock,et al.  Survival of 1,181 Patients in a Phase I Clinic: The MD Anderson Clinical Center for Targeted Therapy Experience , 2012, Clinical Cancer Research.

[18]  Kenneth Offit,et al.  Personalized medicine: new genomics, old lessons , 2011, Human Genetics.

[19]  Edward S. Kim,et al.  The BATTLE trial: personalizing therapy for lung cancer. , 2011, Cancer discovery.

[20]  Jannik N. Andersen,et al.  Cancer genomics: from discovery science to personalized medicine , 2011, Nature Medicine.

[21]  Michael Bittner,et al.  Pilot study using molecular profiling of patients' tumors to find potential targets and select treatments for their refractory cancers. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[22]  L. Schwartz,et al.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). , 2009, European journal of cancer.

[23]  C. Sawyers,et al.  Efficacy and safety of a specific inhibitor of the BCR-ABL tyrosine kinase in chronic myeloid leukemia. , 2001, The New England journal of medicine.

[24]  M. van Glabbeke,et al.  New guidelines to evaluate the response to treatment in solid tumors , 2000, Journal of the National Cancer Institute.

[25]  M Van Glabbeke,et al.  New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. , 2000, Journal of the National Cancer Institute.