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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
H. Niu, H. Shin, F. Gao, J. Zhang, B. Bahamon, H. Danaee, B. Melichar, RJ. Schilder, RL. Coleman, G. Falchook, A. Adenis, K. Behbakht, A. DeMichele, EC. Dees, K. Perez, U. Matulonis, P. Sawrycki, D. Huebner, J. Ecsedy,
Language English Country Netherlands
Document type Clinical Trial, Phase I, Clinical Trial, Phase II, Journal Article, Multicenter Study
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- MeSH
- Alleles MeSH
- Aurora Kinase A genetics MeSH
- Azepines administration & dosage adverse effects MeSH
- Adult MeSH
- Protein Kinase Inhibitors administration & dosage MeSH
- Polymorphism, Single Nucleotide MeSH
- Middle Aged MeSH
- Humans MeSH
- Biomarkers, Tumor genetics MeSH
- Neoplasms drug therapy genetics pathology MeSH
- Paclitaxel administration & dosage adverse effects MeSH
- Disease-Free Survival MeSH
- Pyrimidines administration & dosage adverse effects MeSH
- Aged MeSH
- Neoplasm Staging MeSH
- Treatment Outcome MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Clinical Trial, Phase I MeSH
- Clinical Trial, Phase II MeSH
- Multicenter Study MeSH
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.
Abramson Cancer Center of the University of Pennsylvania Philadelphia PA USA
Centre Oscar Lambret Lille France
Department of Gynecologic Oncology University of Colorado School of Medicine Aurora CO USA
Department of Medical Oncology Dana Farber Cancer Institute Boston MA USA
Department of Medical Oncology Thomas Jefferson University Hospital Philadelphia PA USA
Department of Oncology and Chemotherapy L Rydygiera District Hospital Torun Poland
Gynecologic Oncology Program Dana Farber Cancer Institute Boston MA USA
Millennium Pharmaceuticals Inc Cambridge MA USA
Sarah Cannon Research Institute at HealthONE Denver CO USA
The University of Texas MD Anderson Cancer Center Houston TX USA
UNC Lineberger Comprehensive Cancer Center Chapel Hill NC USA
References provided by Crossref.org
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