Transforming routine solid tumor profiling with automated next-generation sequencing: experience from a reference

Annarita Destro1, Federica Panebianco2, Cecília Durães2

  • 1Pathology Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy. annarita.destro@humanitas.it.

Insights

Integrated DNA- and RNA-based next-generation sequencing (NGS) provides rapid, comprehensive tumor profiling for personalized therapy. This approach successfully identified actionable mutations across lung adenocarcinoma, cholangiocarcinoma, and glioblastoma, aiding therapeutic decisions.

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Genomics

Background:

  • Targeted therapies are increasingly used in cancer treatment.
  • Comprehensive tumor profiling using DNA and RNA sequencing is crucial for effective treatment selection.
  • Next-generation sequencing (NGS) platforms offer a powerful tool for molecular diagnostics.

Purpose of the Study:

  • To evaluate an integrated DNA- and RNA-based NGS strategy for rapid, comprehensive tumor profiling.
  • To assess the utility of this approach in identifying actionable mutations for therapeutic decisions in various solid tumors.
  • To determine the clinical advantage of this integrated NGS strategy in early- and late-stage lung adenocarcinoma, cholangiocarcinoma, and glioblastoma.

Main Methods:

  • A single-center study analyzed 546 tumor samples (lung adenocarcinoma, cholangiocarcinoma, glioblastoma) using an automated, in-house DNA-RNA NGS platform.
  • The NGS assay simultaneously detected point mutations, gene fusions, and copy number variants.
  • Sequencing success rates were high (98.7%-100%), with a median turnaround time of eight days.

Main Results:

  • The integrated DNA-RNA NGS assay demonstrated high success rates and rapid turnaround times.
  • Actionable mutations, including EGFR exon 19 deletions and KRAS p.G12C, were identified in lung adenocarcinoma.
  • Significant associations between EGFR amplification and mutations, as well as distinct co-mutation profiles (e.g., with TP53), were observed, impacting therapy selection.

Conclusions:

  • Integrated DNA-RNA high-throughput NGS enables timely and precise molecular profiling of solid tumors.
  • This approach is valuable for personalized therapy selection, particularly in lung adenocarcinoma, cholangiocarcinoma, and glioblastoma.
  • The findings support the use of integrated NGS for comprehensive tumor characterization and informed therapeutic decisions.

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