Accuracy of next-generation sequencing for the identification of clinically relevant variants in cytology smears in lung adenocarcinoma. Academic Article uri icon

Overview

abstract

  • BACKGROUND: Minimally invasive diagnostic procedures such as needle-core biopsy and fine-needle aspiration provide adequate material for molecular analyses. Advances in precision oncology are trending toward the interrogation of limited amounts of genomic material to guide clinical and therapeutic decisions. The aim of this study was to investigate the minimum cellularity needed on cytologic smears for the identification of clinically relevant variants with next-generation sequencing (NGS). METHODS: Thirty cases of cytologically diagnosed, resection-proven primary lung adenocarcinoma were identified. Nineteen of the 30 cases were known to harbor actionable variants. One Diff-Quik (DQ)-stained slide and 1 Papanicolaou (Pap)-stained slide were selected from each case. Cases were categorized as containing fewer than 100 tumor cells, 100 to 500 tumor cells, or more than 500 tumor cells. NGS was performed on the Ion Torrent platform. RESULTS: NGS was successfully performed on all cell blocks and on 90% of the smears. Paired DQ and Pap smears showed similar cellularity, and cases that differed in cellularity were within 1 category of each other. The cases with more than 100 tumor cells had a 93% success rate; this was significantly different from the situation for cases with fewer than 100 tumor cells, which were successfully sequenced only 67% of the time. Overall, NGS was able to provide clinically relevant information for 83% of DQ smears and for 90% of Pap smears tested. CONCLUSIONS: The data show a significantly higher likelihood of successful NGS with cytologic smears with more than 100 tumor cells. There was a trend for a higher NGS success rate with Pap smears versus DQ smears. Cancer Cytopathol 2017;125:398-406. © 2017 American Cancer Society.

publication date

  • March 8, 2017

Research

keywords

  • Adenocarcinoma
  • High-Throughput Nucleotide Sequencing
  • Lung Neoplasms
  • Sequence Analysis, DNA

Identity

Scopus Document Identifier

  • 85014585827

Digital Object Identifier (DOI)

  • 10.1002/cncy.21844

PubMed ID

  • 28272845

Additional Document Info

volume

  • 125

issue

  • 6