Clinical and Technical Validation of OncoIndx® Assay—A Comprehensive Genome Profiling Assay for Pan-Cancer Investigations
Comprehensive next-generation sequencing (NGS) assays enable the identification of clinically relevant mutations, enhancing the capability for targeted therapeutic interventions. In addition, genomic alterations driving the oncogenic roadmap and leading to resistance mechanisms are reshaping precision oncology. We report the workflow and clinical and technical validation of the OncoIndx<sup>®</sup> NGS platform-a comprehensive genomic profiling (CGP)-based assay for pan-cancer investigation. We evaluated the concordance between the OncoIndx<sup>®</sup> test findings and clinically established hotspot detection using SeraSeq reference standards. OncoIndx is a hybridization capture-based NGS assay for the targeted deep sequencing of all exons and selected introns of 1080 cancer-related genes. We show the outcome in the form of tier I and tier II single nucleotide variants (SNVs), copy number alterations (CNAs), and specific gene fusions. OncoIndx<sup>®</sup> also informs genome-wide tumor mutational burden (TMB), microsatellite instability (MSI), homologous recombination deficiency (HRD), and genomic loss of heterozygosity (gLOH). A total of 63 samples were utilized for validation with reference standards, clinical samples, and orthogonal assessment for genomic alterations. In addition, 49 cross-laboratory samples were validated for microsatellite instability (MSI), and for the tumor mutation burden (TMB), 18 samples as reference standards, 6 cross-laboratory samples, and 29 TCGA samples were utilized. We show a maximum clinical sensitivity of 98% and a positive predictive value (PPV) of 100% for the clinically actionable genomic variants detected by the assay. In addition, we demonstrate analytical validation with the performance of the assay, limit of detection (LoD), precision, and orthogonal concordance for various types of SVs, CNAs, genomic rearrangements, and complex biomarkers like TMB, MSI, and HRD. The assay offers reliable genomic predictions with the high-precision detection of actionable variants, validated by established reference standards.
Authors
- Kanchan Hariramani
- Sumit Halder (ORCID: https://orcid.org/0009-0004-6363-8316)
- Mohan Uttarwar
- Atul Bharde
- Aravindan Vasudevan
- Jayant Khandare (ORCID: https://orcid.org/0000-0002-7301-3107)
- Sandhya Iyer (ORCID: https://orcid.org/0009-0003-6760-6074)
- Sangeeta Prajapati
- Madhura Basavalingegowda
- Alain D’Souza (ORCID: https://orcid.org/0000-0003-1851-5638)
- Aarthi Ramesh (ORCID: https://orcid.org/0000-0002-1054-1471)
- Hrishita Kothavade
- Gowhar Shafi (ORCID: https://orcid.org/0000-0002-5606-800X)
- Bhagwat Jadhav (ORCID: https://orcid.org/0000-0003-4569-9268)
- Mahesh Deochake
Institutions
- Molecular Medicine Research Institute (US)
Publication Details
- Journal
- Cancers
- Published
- 2024-10-08
- DOI
- https://doi.org/10.3390/cancers16193415
- Citations
- 2
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.57