Patients with Rare Cancers in the Drug Rediscovery Protocol (DRUP) Benefit from Genomics-Guided Treatment

Abstract Purpose: Patients with rare cancers (incidence less than 6 cases per 100,000 persons per year) commonly have less treatment opportunities and are understudied at the level of genomic targets. We hypothesized that patients with rare cancer benefit from approved anticancer drugs outside their label similar to common cancers. Experimental Design: In the Drug Rediscovery Protocol (DRUP), patients with therapy-refractory metastatic cancers harboring an actionable molecular profile are matched to FDA/European Medicines Agency–approved targeted therapy or immunotherapy. Patients are enrolled in parallel cohorts based on the histologic tumor type, molecular profile and study drug. Primary endpoint is clinical benefit (complete response, partial response, stable disease ≥ 16 weeks). Results: Of 1,145 submitted cases, 500 patients, including 164 patients with rare cancers, started one of the 25 available drugs and were evaluable for treatment outcome. The overall clinical benefit rate was 33% in both the rare cancer and nonrare cancer subgroup. Inactivating alterations of CDKN2A and activating BRAF aberrations were overrepresented in patients with rare cancer compared with nonrare cancers, resulting in more matches to CDK4/6 inhibitors (14% vs. 4%; P ≤ 0.001) or BRAF inhibitors (9% vs. 1%; P ≤ 0.001). Patients with rare cancer treated with small-molecule inhibitors targeting BRAF experienced higher rates of clinical benefit (75%) than the nonrare cancer subgroup. Conclusions: Comprehensive molecular testing in patients with rare cancers may identify treatment opportunities and clinical benefit similar to patients with common cancers. Our findings highlight the importance of access to broad molecular diagnostics to ensure equal treatment opportunities for all patients with cancer.

[1]  C. von Kalle,et al.  Comprehensive Genomic and Transcriptomic Analysis for Guiding Therapeutic Decisions in Patients with Rare Cancers. , 2021, Cancer discovery.

[2]  G. Mills,et al.  Genomic, Transcriptomic, and Proteomic Profiling of Metastatic Breast Cancer , 2021, Clinical Cancer Research.

[3]  R. Bernards,et al.  Thinking Differently about Cancer Treatment Regimens. , 2021, Cancer discovery.

[4]  David C. Smith,et al.  Assessment of Clinical Benefit of Integrative Genomic Profiling in Advanced Solid Tumors , 2021, JAMA oncology.

[5]  P. Hegde,et al.  A pan-cancer analysis of PD-L1 immunohistochemistry and gene amplification, tumor mutation burden and microsatellite instability in 48,782 cases , 2020, Modern Pathology.

[6]  P. Casali,et al.  Rationale of the rare cancer list: a consensus paper from the Joint Action on Rare Cancers (JARC) of the European Union (EU) , 2020, ESMO Open.

[7]  Vinod Sharma,et al.  Encorafenib, Binimetinib, and Cetuximab in BRAF V600E-Mutated Colorectal Cancer. , 2020, The New England journal of medicine.

[8]  S. Sleijfer,et al.  The Drug Rediscovery protocol facilitates the expanded use of existing anticancer drugs , 2019, Nature.

[9]  Harpreet Wasan,et al.  Encorafenib, Binimetinib, and Cetuximab in BRAF V600E-Mutated Colorectal Cancer. , 2019, The New England journal of medicine.

[10]  N. Socci,et al.  Tumour lineage shapes BRCA-mediated phenotypes , 2019, Nature.

[11]  S. Sleijfer,et al.  Personalised reimbursement: a risk-sharing model for biomarker-driven treatment of rare subgroups of cancer patients. , 2019, Annals of oncology : official journal of the European Society for Medical Oncology.

[12]  J. Sicklick,et al.  Molecular profiling of cancer patients enables personalized combination therapy: the I-PREDICT study , 2019, Nature Medicine.

[13]  J. Sicklick,et al.  Analysis of NTRK Alterations in Pan-Cancer Adult and Pediatric Malignancies: Implications for NTRK-Targeted Therapeutics. , 2018, JCO precision oncology.

[14]  S. Sleijfer,et al.  Pan-cancer whole-genome analyses of metastatic solid tumours , 2018, bioRxiv.

[15]  Johannes G. Reiter,et al.  Minimal functional driver gene heterogeneity among untreated metastases , 2018, Science.

[16]  Edward S. Kim,et al.  Rationale and Design of the Targeted Agent and Profiling Utilization Registry (TAPUR) Study. , 2018, JCO precision oncology.

[17]  Steven J. M. Jones,et al.  Canadian profiling and targeted agent utilization trial (CAPTUR/PM.1): A phase II basket precision medicine trial. , 2018 .

[18]  J. Hainsworth,et al.  Targeted Therapy for Advanced Solid Tumors on the Basis of Molecular Profiles: Results From MyPathway, an Open-Label, Phase IIa Multiple Basket Study. , 2018, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[19]  Eva Ardanaz,et al.  Burden and centralised treatment in Europe of rare tumours: results of RARECAREnet-a population-based study. , 2017, The Lancet. Oncology.

[20]  Donavan T. Cheng,et al.  Mutational Landscape of Metastatic Cancer Revealed from Prospective Clinical Sequencing of 10,000 Patients , 2017, Nature Medicine.

[21]  J. Colwell NCI-MATCH Trial Draws Strong Interest. , 2016, Cancer discovery.

[22]  D. Huntsman,et al.  Rare cancers: a sea of opportunity. , 2016, The Lancet. Oncology.

[23]  J. Blay,et al.  The value of research collaborations and consortia in rare cancers. , 2016, The Lancet. Oncology.

[24]  Funda Meric-Bernstam,et al.  Feasibility of Large-Scale Genomic Testing to Facilitate Enrollment Onto Genomically Matched Clinical Trials. , 2015, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[25]  G. Gatta,et al.  Rare cancers are not so rare: the rare cancer burden in Europe. , 2011, European journal of cancer.

[26]  A. D’Andrea,et al.  Susceptibility pathways in Fanconi's anemia and breast cancer. , 2010, The New England journal of medicine.

[27]  M. Eck,et al.  The interplay of structural information and functional studies in kinase drug design: insights from BCR-Abl. , 2009, Current opinion in cell biology.

[28]  A. Feinberg,et al.  Wilms' tumor as a model for cancer biology. , 2003, Methods in molecular biology.

[29]  R. Simon,et al.  Optimal two-stage designs for phase II clinical trials. , 1989, Controlled clinical trials.