Revolutionary OncoIndx® Platform Achieves 98% Sensitivity in Cancer Genomic Profiling

October 7, 2024
Revolutionary OncoIndx® Platform Achieves 98% Sensitivity in Cancer Genomic Profiling
  • Additionally, the assay provides insights into tumor mutational burden (TMB), homologous recombination deficiency (HRD), and genomic loss of heterozygosity (gLOH), further enhancing its clinical relevance.

  • A novel CRISPR-based assay developed in the study achieves sub-attomolar sensitivity for recognizing and amplifying target mRNA, showcasing its potential for clinical applications.

  • A groundbreaking study published in Nature Biotechnology on October 7, 2024, by authors including Song, J. et al., introduces innovative techniques in genomic profiling and cancer diagnostics.

  • The research emphasizes the critical role of comprehensive genomic profiling (CGP) in precision oncology, advancing personalized medicine.

  • Central to this study is the OncoIndx® platform, a next-generation sequencing (NGS) assay designed to identify essential mutations that inform therapeutic decisions in cancer treatment.

  • OncoIndx® has demonstrated remarkable accuracy, achieving a maximum clinical sensitivity of 98% and a positive predictive value of 100% for actionable genomic variants.

  • The assay's high sensitivity and specificity could enhance liquid biopsy techniques, addressing significant implementation challenges in clinical settings.

  • The study also explores pooled CRISPR screens, which facilitate the parallel measurement of cellular responses to genetic changes using DNA-encoded barcodes.

  • A new technique, CRISPRmap, enhances the detection of cellular barcodes through optical readout, improving analysis in various cell types, including primary and stem cells.

  • Single-cell multimodal profiling, which examines both proteins and RNA, is highlighted as essential for a more accurate understanding of cellular functions.

  • The OncoIndx® assay targets major exons and selected introns of 1,080 cancer-associated genes, analyzing complex biomarkers such as single nucleotide variants (SNVs), copy number alterations (CNAs), and specific gene fusions.

  • Results indicate that CRISPRmap can accurately replicate known phenotypes related to specific base edits, offering valuable insights into gene functionality and cellular responses.

Summary based on 3 sources


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