Literature DB >> 31575653

Pralatrexate in Combination with Oxaliplatin in Advanced Esophagogastric Cancer: A Phase II Trial with Predictive Molecular Correlates.

Usha Malhotra1, Sarbajit Mukherjee2, Christos Fountzilas1, Patrick Boland1, Austin Miller1, Santosh Patnaik1, Kristopher Attwood1, Sai Yendamuri1, Araba Adjei1, Eric Kannisto1, Mateusz Opyrchal1, Peter Bushunow3, Peter Loud1, Renuka Iyer1, Nikhil Khushalani1.   

Abstract

The purpose of our study was to evaluate the efficacy of a combination of pralatrexate plus oxaliplatin in advanced esophagogastric cancer (EGC), analyze the impact of polymorphisms in folate metabolism pathway genes on toxicity and efficacy of pralatrexate, and to evaluate microRNA profile of tumor epithelium as a predictive biomarker. This was a two-stage trial with a safety lead in cohort and a primary endpoint of overall response rate (ORR). Patients received biweekly intravenous oxaliplatin (85 mg/m2) and pralatrexate (Dose level 1 [D1], 120 mg/m2; dose level-1 [D-1] 100 mg/m2). Single-nucleotide polymorphisms (SNP) in genes encoding proteins involved in pralatrexate metabolism were evaluated in germline DNA. microRNA profiling of the tumor epithelium was performed. ORR was 26%. Dose-limiting toxicities were observed in 2 of 4 patients at D1 and none at D-1. The T>C polymorphism in DHFR rs11951910 was significantly associated with lower progression-free survival (PFS; P ≤ 0.01), whereas the presence of the SLC19A1 rs2838957 G>A polymorphism was associated with improved PFS (P = 0.02). Presence of the GGH rs3780130 A>T and SLC19A1 rs1051266 G>A polymorphisms were significantly associated with better overall survival (OS; P = 0.01), whereas GGH rs7010484 T>C polymorphism was associated significantly with reduced OS (P = 0.04). There was no correlation between epithelial microRNA expression profile with disease progression or response. We conclude that the combination of oxaliplatin and pralatrexate is safe, is well tolerated, and has modest efficacy in advanced EGC. Pharmacogenomic analysis may be relevant to the use of pralatrexate in combination with platinum agents. ©2019 American Association for Cancer Research.

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Year:  2019        PMID: 31575653     DOI: 10.1158/1535-7163.MCT-19-0240

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.261


  2 in total

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Authors:  Shrunjal Shah; Sarbajit Mukherjee
Journal:  Oncoscience       Date:  2020-09-09

2.  Developing a machine learning model to identify protein-protein interaction hotspots to facilitate drug discovery.

Authors:  Rohit Nandakumar; Valentin Dinu
Journal:  PeerJ       Date:  2020-12-07       Impact factor: 2.984

  2 in total

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