7 research outputs found

    Aurora A Functional Single Nucleotide Polymorphism (SNP) Correlates With Clinical Outcome in Patients With Advanced Solid Tumors Treated With Alisertib, an Investigational Aurora A Kinase Inhibitor

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    BACKGROUND: Alisertib (MLN8237) is an investigational, oral, selective Aurora A kinase inhibitor. Aurora A contains two functional single nucleotide polymorphisms (SNPs; codon 31 [F/I] and codon 57 [V/I]) that lead to functional changes. This study investigated the prognostic and predictive significance of these SNPs. METHODS: This study evaluated associations between Aurora A SNPs and overall survival (OS) in The Cancer Genome Atlas (TCGA) database. The Aurora A SNPs were also evaluated as predictive biomarkers for clinical outcomes to alisertib in two phase 2 studies (NCT01045421 and NCT01091428). Aurora A SNP genotyping was obtained from 85 patients with advanced solid tumors receiving single-agent alisertib and 122 patients with advanced recurrent ovarian cancer treated with alisertib plus weekly paclitaxel (n=62) or paclitaxel alone (n=60). Whole blood was collected prior to treatment and genotypes were analyzed by PCR. FINDINGS: TCGA data suggested prognostic significance for codon 57 SNP; solid tumor patients with VV and VI alleles had significantly reduced OS versus those with II alleles (HR 1.9 [VI] and 1.8 [VV]; p<0.0001). In NCT01045421, patients carrying the VV alleles at codon 57 (n=53, 62%) had significantly longer progression-free survival (PFS) than patients carrying IV or II alleles (n=32, 38%; HR 0.5; p=0.0195). In NCT01091428, patients with the VV alleles at codon 57 who received alisertib plus paclitaxel (n=47, 39%) had a trend towards improved PFS (7.5months) vs paclitaxel alone (n=32, 26%; 3.8months; HR 0.618; p=0.0593). In the paclitaxel alone arm, patients with the VV alleles had reduced PFS vs modified intent-to-treat (mITT) patients (3.8 vs 5.1months), consistent with the TCGA study identifying the VV alleles as a poor prognostic biomarker. No significant associations were identified for codon 31 SNP from the same data set. INTERPRETATION: These findings suggest that Aurora A SNP at codon 57 may predict disease outcome and response to alisertib in patients with solid tumors. Further investigation is warranted

    Aurora A Functional Single Nucleotide Polymorphism (SNP) Correlates With Clinical Outcome in Patients With Advanced Solid Tumors Treated With Alisertib, an Investigational Aurora A Kinase Inhibitor

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    International audienceBACKGROUND:Alisertib (MLN8237) is an investigational, oral, selective Aurora A kinase inhibitor. Aurora A contains two functional single nucleotide polymorphisms (SNPs; codon 31 [F/I] and codon 57 [V/I]) that lead to functional changes. This study investigated the prognostic and predictive significance of these SNPs.METHODS:This study evaluated associations between Aurora A SNPs and overall survival (OS) in The Cancer Genome Atlas (TCGA) database. The Aurora A SNPs were also evaluated as predictive biomarkers for clinical outcomes to alisertib in two phase 2 studies (NCT01045421 and NCT01091428). Aurora A SNP genotyping was obtained from 85 patients with advanced solid tumors receiving single-agent alisertib and 122 patients with advanced recurrent ovarian cancer treated with alisertib plus weekly paclitaxel (n=62) or paclitaxel alone (n=60). Whole blood was collected prior to treatment and genotypes were analyzed by PCR

    Randomized Phase II Study of Paclitaxel plus Alisertib versus Paclitaxel plus Placebo as Second-Line Therapy for SCLC: Primary and Correlative Biomarker Analyses

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    INTRODUCTION: We assessed the Aurora A kinase inhibitor, alisertib, plus paclitaxel (henceforth referred to as alisertib/paclitaxel) as second-line treatment for SCLC. METHODS: In this double-blind study, patients with relapsed or refractory SCLC were stratified by relapse type (sensitive versus resistant or refractory) and brain metastases and randomized 1:1 to alisertib/paclitaxel or placebo plus paclitaxel (henceforth referred to as placebo/paclitaxel) in 28-day cycles. The primary end point was progression-free survival (PFS). Associations of c-Myc expression in tumor tissue (prespecified) and genetic alterations in circulating tumor DNA (retrospective) with clinical outcome were evaluated. RESULTS: A total of 178 patients were enrolled (89 in each arm). The median PFS was 3.32 months with alisertib/paclitaxel versus 2.17 months with placebo/paclitaxel (hazard ratio [HR] = 0.77, 95% confidence limit [CI]: 0.557-1.067, p = 0.113 in the intent-to-treat population versus HR = 0.71, 95% CI: 0.509-0.985, p = 0.038 with corrected analysis applied). Among 140 patients with genetic alternations, patients with cell cycle regulator mutations (cyclin-dependent kinase 6 gene [CDK6], retinoblastoma-like 1 gene [RBL1], retinoblastoma-like 2 gene [RBL2], and retinoblastoma 1 gene [RB1]) had significantly improved PFS with alisertib/paclitaxel versus with placebo/paclitaxel (3.68 versus 1.80 months, respectively [HR = 0.395, 95% CI: 0.239-0.654, p = 0.0003]), and overall survival (7.20 versus 4.47 months, respectively [HR = 0.427, 95% CI: 0.259-0.704, p = 0.00085]). A subset of patients with c-Myc expression showed significantly improved PFS with alisertib/paclitaxel. The incidence of grade 3 or higher drug-related adverse events was 67% (58 patients) with alisertib/paclitaxel versus 22% (25 patients) with placebo/paclitaxel. Twelve patients (14%) versus 11 (12%) died on study, including four versus zero treatment-related deaths. CONCLUSIONS: Efficacy signals were seen with alisertib/paclitaxel in relapsed or refractory SCLC. c-Myc expression and mutations in cell cycle regulators may be potential predictive biomarkers of alisertib efficacy; further prospective validations are warranted.status: publishe

    Randomized Phase II Study of Paclitaxel plus Alisertib versus Paclitaxel plus Placebo as Second-Line Therapy for SCLC: Primary and Correlative Biomarker Analyses.

    Get PDF
    We assessed the Aurora A kinase inhibitor, alisertib, plus paclitaxel (henceforth referred to as alisertib/paclitaxel) as second-line treatment for SCLC. In this double-blind study, patients with relapsed or refractory SCLC were stratified by relapse type (sensitive versus resistant or refractory) and brain metastases and randomized 1:1 to alisertib/paclitaxel or placebo plus paclitaxel (henceforth referred to as placebo/paclitaxel) in 28-day cycles. The primary end point was progression-free survival (PFS). Associations of c-Myc expression in tumor tissue (prespecified) and genetic alterations in circulating tumor DNA (retrospective) with clinical outcome were evaluated. A total of 178 patients were enrolled (89 in each arm). The median PFS was 3.32 months with alisertib/paclitaxel versus 2.17 months with placebo/paclitaxel (hazard ratio [HR] = 0.77, 95% confidence limit [CI]: 0.557-1.067, p = 0.113 in the intent-to-treat population versus HR = 0.71, 95% CI: 0.509-0.985, p = 0.038 with corrected analysis applied). Among 140 patients with genetic alternations, patients with cell cycle regulator mutations (cyclin-dependent kinase 6 gene [CDK6], retinoblastoma-like 1 gene [RBL1], retinoblastoma-like 2 gene [RBL2], and retinoblastoma 1 gene [RB1]) had significantly improved PFS with alisertib/paclitaxel versus with placebo/paclitaxel (3.68 versus 1.80 months, respectively [HR = 0.395, 95% CI: 0.239-0.654, p = 0.0003]), and overall survival (7.20 versus 4.47 months, respectively [HR = 0.427, 95% CI: 0.259-0.704, p = 0.00085]). A subset of patients with c-Myc expression showed significantly improved PFS with alisertib/paclitaxel. The incidence of grade 3 or higher drug-related adverse events was 67% (58 patients) with alisertib/paclitaxel versus 22% (25 patients) with placebo/paclitaxel. Twelve patients (14%) versus 11 (12%) died on study, including four versus zero treatment-related deaths. Efficacy signals were seen with alisertib/paclitaxel in relapsed or refractory SCLC. c-Myc expression and mutations in cell cycle regulators may be potential predictive biomarkers of alisertib efficacy; further prospective validations are warranted
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