Assessment of stained direct cytology smears of breast cancer for whole transcriptome and targeted messenger RNA sequencing

Michal Marczyk, Chunxiao Fu, Rosanna Lau, Lili Du, Alexander J. Trevarton, Bruno V. Sinn, Rebekah E. Gould, Lajos Pusztai, Christos Hatzis, William Fraser Symmans

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Background: Rather than surgical resection, cytologic specimens are often used as first-line clinical diagnostic procedures due to higher safety, speed, and cost-effectiveness. Archival diagnostic cytology slides containing cancer can be equivalent to tissue biopsies for DNA mutation testing, but the accuracy of transcriptomic profiling by RNA sequencing (RNA-seq) is less understood. Methods: This study compares the results from whole transcriptome RNA-seq and a targeted RNA-seq assay of stained cytology smears (CS) versus matched tumor tissue samples preserved fresh-frozen (FF) and processed as formalin-fixed paraffin-embedded (FFPE) sections. Cellular cytology scrapes from all 11 breast cancers were fixed and stained using three common protocols: Carnoy's (CS_C) or 95% ethanol (CS_E) fixation and then Papanicolaou stain or air-dried then methanol fixation and DiffQuik stain (CS_DQ). Agreement between samples was assessed using Lin's concordance correlation coefficient. Results: Library yield for CS_DQ was too low, therefore it was not sequenced. The distributions of concordance correlation coefficient of gene expression levels in comparison to FF were comparable between CS_C and CS_E, but expression of genes enriched in stroma was lower in cytosmear samples than in FF or FFPE. Six signatures showed similar concordance to FF for all methods and two were slightly worse in CS_C and CS_E. Genomic signatures were highly concordant using targeted RNA-seq. The allele fraction of selected mutations calculated on cytosmear specimens was highly correlated with FF tissues using both RNA-seq methods. Conclusion: RNA can be reliably extracted from cytology smears and is suitable for transcriptome profiling or mutation detection, except for signatures of tumor stroma.

Original languageEnglish (US)
Pages (from-to)289-299
Number of pages11
JournalCancer Cytopathology
Volume131
Issue number5
DOIs
StatePublished - May 2023

Keywords

  • biopsy
  • breast neoplasms
  • cytology smears
  • RNA-seq
  • transcriptomics

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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