Alberto A Chiappori1, Gregory A Otterson2, Afshin Dowlati3, Anne M Traynor4, Leora Horn5, Taofeek K Owonikoko6, Helen J Ross7, Christine L Hann8, Taher Abu Hejleh9, Jorge Nieva10, Xiuhua Zhao11, Michael Schell11, Daniel M Sullivan11. 1. H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA alberto.chiappori@moffitt.org. 2. Ohio State University, Columbus, Ohio, USA. 3. University Hospitals Case Medical Center, Cleveland, Ohio, USA. 4. University of Wisconsin, Madison, Wisconsin, USA. 5. Vanderbilt University, Nashville, Tennessee, USA. 6. Winship Cancer Institute of Emory University, Atlanta, Georgia, USA. 7. Mayo Clinic, Scottsdale, Arizona, USA. 8. Johns Hopkins University, Baltimore, Maryland, USA. 9. University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA. 10. University of Southern California, Los Angeles, California, USA. 11. H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Improved understanding of the molecular mechanisms and signaling pathways involved in tumor development and progression, leading to identification of potential targets (receptors and/or ligands) for anticancer therapy and development of pharmacological agents able to interfere with these targetable pathways, has resulted in therapeutic benefit in non-small cell lung cancer (NSCLC). However, SCLC has proven less amenable to a targeted approach. Few studies have attempted targeted therapy in this disease, and none has produced a strategy promising enough to progress to phase III trials [1].The progress achieved in NSCLC is clearly related to the presence of powerful, predictive biomarkers (e.g., EGFR, ALK) and to access to tissue where these biomarkers are identified. The former (predictive biomarkers) and the latter (tissue obtained from biopsies) are routinely not available in SCLC.Recently, ERK phosphorylation (pERK) has been proposed as a marker of resistance to insulin growth factor-1 receptor (IGF-1R) inhibition in SCLC [2]; additionally, circulating tumor cells (CTCs) have been described as a prognostic marker [3] and used as a source of tumor material in patients with SCLC. Furthermore, [18F]fluorodeoxyglucose-positron emission tomography [18FDG-PET] has been reported to predict response to linsitinib in mouse models of preclinical lung cancer [4], with “metabolic burden” similarly measured by 18FDG-PET scan also described as a prognostic factor in patients with SCLC [5]. Therefore, a reasonable personalized trial would be one in which patients with relapsed SCLC, selected by pERK expression in CTCs, are treated with linsitinib and followed with PET scans as surrogates of response and/or clinical benefit.Unfortunately, failure of benefit with agents targeting IGF-1R, including linsitinib, has not been limited to relapsed SCLC. Indeed, the addition of monoclonal antibodies against IGF-1R, like cixutumumab (IMCA12); to platinum-doublet chemotherapy in SCLC (E1508) [6]; or figitumumab to chemotherapy and targeted therapies in NSCLC [7] also failed to provide a significant clinical benefit.Although it is tempting to speculate that the incorporation of a predictive biomarker could have produced a different outcome in our study, the repeated failure of various IGF-1R inhibitors is difficult to ignore or to attribute to lack of reliable predictive biomarkers for patient selection. Thus, in our view, linsitinib showed no activity against relapsed SCLC and further development of this agent is not justified.
Trial Information
Lung cancer – SCLCMetastatic / Advanced1 prior regimenPhase IIRandomizedP: 0.1, hazard ratio (HR): 0.6PFSOverall SurvivalThis Cancer Therapy Evaluation Program (CTEP) multi-institution, randomized phase II clinical trial (ClinicalTrials.gov: NCT01533181) was conducted in accordance with the International Conference on Harmonization Good Clinical Practice guidelines, the Declaration of Helsinki, and applicable regulatory requirements. Approval from the institutional review board of each participating center was required, and patients provided written informed consent. Patients were randomly assigned to receive either linsitinib (150 mg orally, twice daily, every day until disease progression) or topotecan (1.5 mg/m2 intravenously or 2.3 mg/m2 orally, once daily on days 1–5 for 4 cycles). The treatment cycle was 21 days (Fig. 1). Linsitinib was provided by CTEP.
Kaplan-Meier curves for survival from the time of randomization by treatment arm. (A): Progression-free survival. (B): Overall survival.
Safety evaluations for treatment-emergent adverse events (AEs) were performed using scheduled hematology, blood chemistry, urinalysis, vital signs, and physical examination assessments. AEs were graded using National Cancer Institute Common Terminology Criteria for Adverse Events version 4.0. Two dose reductions were permitted per patient for grade 3 or 4 toxicities, with treatment resumed after AE resolution to grade 2 or below, and dose delays of up to 4 weeks were permitted to allow recovery from AEs.Primary and/or secondary prophylactic growth factor support was allowed.Tumor assessments were performed at screening and after every two cycles, using cross-sectional computed tomography and/or magnetic resonance imaging. Tumor response was evaluated by local investigator assessment and categorized according to RECIST version 1.1.Our primary endpoint was PFS. Secondary endpoints included overall response rate, overall survival, and safety. Patients were randomly assigned 2:1 in favor of linsitinib and stratified on the basis of sensitivity to first-line treatment (sensitive vs. refractory) and performance status (0/1 vs. 2) (Fig. 2).
An increase in median PFS from 10 weeks (2.5 months) in the topotecan arm (control) to 16.7 weeks (4.2 months) in the linsitinib arm (experimental) was hypothesized. Using a one-sided log-rank test, an overall sample size of 95 patients (31 in the topotecan arm and 64 in the linsitinib arm) would achieve 81.6% power at an α level of 0.1 to detect a hazard ratio (HR) of 0.60 (calculation performed using PASS; NCSS Statistical Software, Kaysville, UT, http://www.ncss.com).Descriptive statistics were used to summarize patient characteristics and treatment administration, tumor response, and safety parameters. Overall survival (OS) and PFS were estimated using the Kaplan-Meier method; between-treatment comparisons for OS and PFS were conducted using the log-rank test.Inactive because results did not meet primary endpoint.
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