MA16.10 Lung-MAP (S1400) Lung Master Protocol: Accrual and Genomic Screening Updates

Lung-MAP (S1400), is a master protocol that incorporates genomic testing of tumors through a next generation sequencing (NGS) platform (Foundation Medicine) and biomarker-driven (matched) therapies for patients with squamous cell lung cancer (SCCA) after progression on first-line chemotherapy. The Lung-MAP trial, activated June 16, 2014, includes 3 matched- and 1 non-match study. Matched studies include: S1400B evaluating taselisib, a PI3K inhibitor, S1400C evaluating palbociclib, a CDK 4/6 inhibitor and, S1400D evaluating AZD4547, an FGFR inhibitor. The non-match study S1400I tests nivolumab + ipilimumab vs. nivolumab. Two studies have closed: S1400E evaluating rilotumumab an HGF monoclonal antibody + erlotinib closed 11/26/2014 and S1400A evaluating MEDI4736 in non-match pts, closed 12/18/2015. From June 16, 2014 to June 15, 2016, 812 pts were screened and 292 pts registered to a study: 116 to S1400A, 27 to S1400B, 53 to S1400C, 32 to S1400D, 9 to S1400E and 55 to S1400I. Demographics: Screening was successful for 705 (87%) of screened eligible pts. Median age 67 (range 35-92); male 68%; ECOG PS 0-1 88%, PS 2 10%; Caucasian 85%, Black 9%, other 5%; never/former/current smokers 4%/58%/36%. Table 1 displays biomarker prevalence; 39% of pts matched; 33.9%, 4.8%, and 0.3% with 1, 2, and all 3 biomarkers, respectively. Tumor mutation burden (TMB) was available for 636 (90.4%) of eligible pts. The distribution of TMB is: 126 (19.8%) low (≤5 mutations Mb), 415 (65.1%) intermediate (6-19 mutations/Mb), and 96 (15.1%) high (≥20 mutations/Mb). The median TMB was 10.1. Genomic screening is feasible as part of this master protocol designed to expedite drug registration, confirm anticipated prevalence of targeted alterations in SCCA and reveal intermediate or high TMB in most (80.2%) pts. Treatment results are not yet available as patients continue to accrue. Clinical trial information: NCT02154490.Tabled 1TotalFGFRCDKPIK3CAFGFR (15.9%)12.9%2.4%0.6%CDK (18.8%)14.6%1.8%PIK3CA (8.8%)6.4%Biomarker prevalence and overlap. Open table in a new tab