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

Author:

Marczyk Michal12ORCID,Fu Chunxiao34,Lau Rosanna34,Du Lili34,Trevarton Alexander J.34,Sinn Bruno V.5,Gould Rebekah E.34,Pusztai Lajos1,Hatzis Christos1,Symmans William Fraser34

Affiliation:

1. Yale Cancer Center Yale School of Medicine New Haven Connecticut USA

2. Department of Data Science and Engineering Silesian University of Technology Gliwice Poland

3. Department of Pathology The University of Texas MD Anderson Cancer Center Houston Texas USA

4. Department of Translational Molecular Pathology The University of Texas MD Anderson Cancer Center Houston Texas USA

5. Institute of Pathology Charité Universitätsmedizin Berlin Berlin Germany

Abstract

AbstractBackgroundRather 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.MethodsThis 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.ResultsLibrary 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.ConclusionRNA can be reliably extracted from cytology smears and is suitable for transcriptome profiling or mutation detection, except for signatures of tumor stroma.

Publisher

Wiley

Subject

Cancer Research,Oncology

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