Literature DB >> 33556149

Development and validation of a multigene variant profiling assay to guide targeted and immuno therapy selection in solid tumors.

Dadasaheb Akolkar1, Darshana Patil1, Navin Srivastava1, Revati Patil1, Vineet Datta1, Sachin Apurwa1, Nitin Yashwante1, Raja Dhasarathan1, Rahul Gosavi1, Jinumary John1, Shabishta Khan1, Ninad Jadhav1, Priti Mene1, Dhanashri Ahire1, Sushant Pawar1, Harshal Bodke1, Subhraline Sahoo1, Arun Nile1, Dinesh Saindane1, Harshal Darokar1, Pradip Devhare1, Ajay Srinivasan1, Rajan Datar1.   

Abstract

We present data on analytical validation of the multigene variant profiling assay (CellDx) to provide actionable indications for selection of targeted and immune checkpoint inhibitor (ICI) therapy in solid tumors. CellDx includes Next Generation Sequencing (NGS) profiling of gene variants in a targeted 452-gene panel as well as status of total Tumor Mutation Burden (TMB), Microsatellite instability (MSI), Mismatch Repair (MMR) and Programmed Cell Death-Ligand 1 (PD-L1) respectively. Validation parameters included accuracy, sensitivity, specificity and reproducibility for detection of Single Nucleotide Alterations (SNAs), Copy Number Alterations (CNAs), Insertions and Deletions (Indels), Gene fusions, MSI and PDL1. Cumulative analytical sensitivity and specificity of the assay were 99.03 (95% CI: 96.54-99.88) and 99.23% (95% CI: 98.54% - 99.65%) respectively with 99.20% overall Accuracy (95% CI: 98.57% - 99.60%) and 99.7% Precision based on evaluation of 116 reference samples. The clinical performance of CellDx was evaluated in a subsequent analysis of 299 clinical samples where 861 unique mutations were detected of which 791 were oncogenic and 47 were actionable. Indications in MMR, MSI and TMB for selection of ICI therapies were also detected in the clinical samples. The high specificity, sensitivity, accuracy and reproducibility of the CellDx assay is suitable for clinical application for guiding selection of targeted and immunotherapy agents in patients with solid organ tumors.

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Year:  2021        PMID: 33556149      PMCID: PMC7870065          DOI: 10.1371/journal.pone.0246048

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  36 in total

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Journal:  Lancet       Date:  2016-03-04       Impact factor: 79.321

8.  Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden.

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Journal:  Genome Med       Date:  2017-04-19       Impact factor: 11.117

9.  First-Line Nivolumab Plus Ipilimumab in Advanced Non-Small-Cell Lung Cancer (CheckMate 568): Outcomes by Programmed Death Ligand 1 and Tumor Mutational Burden as Biomarkers.

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10.  COSMIC: the Catalogue Of Somatic Mutations In Cancer.

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Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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