Highly Multiplexed Droplet Digital PCR for Ultra-Sensitive NSCLC Biomarker Detection in Research Workflows

September 11, 2026 - 05:10
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Highly Multiplexed Droplet Digital PCR for Ultra-Sensitive NSCLC Biomarker Detection in Research Workflows

Image of Surbhi Jain, PhD, MBBS

Surbhi Jain, PhD, MBBS

Staff Scientist
Bio-Rad Laboratories

Panelist

Image of Surbhi Jain, PhD, MBBS

Surbhi Jain, PhD, MBBS

Surbhi Jain, PhD, MBBS, is a staff scientist at Bio-Rad Laboratories and the R&D lead for the ddPLEX EGFR/KRAS/BRAF multiplexed droplet digital PCR panel. She is focused on developing ddPCR assay solutions for precision oncology and has more than 16 years of experience in diagnostic assay development, with expertise spanning liquid biopsy biomarkers and high-throughput molecular workflows. Before joining Bio-Rad, Surbhi developed reagents for CRISPR-enabled massively parallel genome editing and served as principal investigator on SBIR programs developing cell-free DNA technologies for cancer detection and monitoring. She earned her PhD in microbiology and immunology from Temple University in Philadelphia and her medical degree (MBBS) from B.Y.L. Nair Hospital in Mumbai.

Image of Prithwish Pal, PhD

Prithwish Pal, PhD

Director, Global Product Marketing – Oncology
Director, Global Product Marketing – Oncology

Panelist

Image of Prithwish Pal, PhD

Prithwish Pal, PhD

Prithwish Pal, PhD, is director of global product marketing for oncology at Bio-Rad Laboratories, leading the company’s ddPCR oncology portfolio for liquid biopsy, MRD, and treatment monitoring applications. With over 15 years of experience in precision oncology, he has held leadership roles in product management, market development, and medical affairs at Illumina and other diagnostics companies. He holds a PhD in biophysics from the University of Rochester and an MBA from the University of California, San Diego.

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National and international guidelines recommend biomarker testing for oncogenic driver mutations in metastatic non-small cell lung cancer (NSCLC). Emerging technologies such as Droplet Digital™ PCR (ddPCR™) enable sensitive detection and quantification of nucleic acid targets and have been widely used in scientific research involving solid and hematologic cancer samples. Such technologies support oncology research applications, including biomarker characterization and molecular profiling studies.

In this GEN webinar, two experts will discuss the growing role of ddPCR in clinical research and translational oncology. In the first session, Prithwish Pal, PhD, will explore the use of ddPCR in liquid biopsies that require highly sensitive variant detection and precise quantification in research settings. In the second session, Surbhi Jain, PhD, will present analytical data for ddPLEX EGFR/KRAS/BRAF Mutation Detection Assay Kit*, a research-use-only kit developed for the QX600 Droplet Digital PCR System. She will share results from an external analytical validation study of the assay against alternative reference methods that showed 100% concordance in archived plasma cell-free DNA and 96.5% in FFPE specimens.

Key takeaways from the webinar include:

  • Workflow and precision of ddPCR systems ideal for cancer research, including biomarker discovery, development of biomarker driven therapy, and monitoring applications in research settings
  • How multiplexing extracts maximum information from limited testing research material with greater sensitivity and precision than qPCR and with less time and cost than next-generation sequencing
  • A streamlined RUO ddPCR assay for metastatic NSCLC research that quantifies 37 EGFR, KRAS, and BRAF variants in a single well, paired with a mutation-agnostic total quantification well for variant allele frequency calculations.

A live Q&A session will follow the presentation offering you a chance to pose questions to our expert panelists.

*For Research Use Only. Not for use in diagnostic procedures.

Produced with support from:

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The post Highly Multiplexed Droplet Digital PCR for Ultra-Sensitive NSCLC Biomarker Detection in Research Workflows appeared first on GEN - Genetic Engineering and Biotechnology News.

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