Massively parallel DNA sequencing from routinely processed cytological smears.
BACKGROUND
Data generated by next-generation sequencing technologies have a pivotal role in precision medicine. These high-throughput techniques are preferentially performed on fresh tissue, but there is an increasing need for protocols adapted to materials derived from formalin-fixed, paraffin-embedded tissue and cytology specimens.


METHODS
The aim of this work was to show that cytological material collected from archival smears processed for routine diagnoses could be used for massively parallel sequencing and array-based genomic analysis for further studies.


RESULTS
As a proof of concept, data obtained from May-Grünwald Giemsa- and Diff-Quik-stained archival smears were shown to be in keeping with those obtained from matched frozen controls.


CONCLUSIONS
The quality of DNA extracted from routinely processed smears is compatible with the multitargeted sequencing of a large series of genes of interest with methods such as array-based genomic analysis and whole-exome sequencing.
Gustave Roussy, Villejuif, France.|Unité Mixte de Recherche 981, INSERM, Villejuif, France.
Laure
L
Piqueret-Stephan
Genopole Campus 1, IntegraGen SA, Evry, France.
Charles
C
Marcaillou
Genomic Platform, Translational Research Department, Institut Curie, Paris, France.
Cécile
C
Reyes
Analyse Moléculaire, Modélisation et Imagerie de la maladie Cancéreuse (AMMICa) CNRS Unité Mixte de Service 3655, INSERM US23, Paris Sud University), Translational Research Laboratory, Gustave Roussy, Villejuif, France.
Aurélie
A
Honoré
Genopole Campus 1, IntegraGen SA, Evry, France.
Mélanie
M
Letexier
Genomic Platform, Translational Research Department, Institut Curie, Paris, France.
David
D
Gentien
Gustave Roussy, Villejuif, France.|Unit 1009, INSERM, Villejuif, France.
Nathalie
N
Droin
Analyse Moléculaire, Modélisation et Imagerie de la maladie Cancéreuse (AMMICa) CNRS Unité Mixte de Service 3655, INSERM US23, Paris Sud University), Translational Research Laboratory, Gustave Roussy, Villejuif, France.|Department of Biopathology, Gustave Roussy, Villejuif, France.
Ludovic
L
Lacroix
Analyse Moléculaire, Modélisation et Imagerie de la maladie Cancéreuse (AMMICa) CNRS Unité Mixte de Service 3655, INSERM US23, Paris Sud University), Translational Research Laboratory, Gustave Roussy, Villejuif, France.|Department of Biopathology, Gustave Roussy, Villejuif, France.
Jean-Yves
JY
Scoazec
Gustave Roussy, Villejuif, France.|Unité Mixte de Recherche 981, INSERM, Villejuif, France.|Analyse Moléculaire, Modélisation et Imagerie de la maladie Cancéreuse (AMMICa) CNRS Unité Mixte de Service 3655, INSERM US23, Paris Sud University), Translational Research Laboratory, Gustave Roussy, Villejuif, France.|Department of Biopathology, Gustave Roussy, Villejuif, France.
Philippe
P
Vielh
D015331:Cohort Studies; D003581:Cytodiagnosis / Q000379:methods; D004273:DNA, Neoplasm / Q000235:genetics*; D003955:Diagnostic Tests, Routine; D006801:Humans; D009369:Neoplasms / Q000235:genetics* / Q000473:pathology; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D016612:Paraffin Embedding; D016133:Polymerase Chain Reaction / Q000379:methods; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D057285:Precision Medicine; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D017422:Sequence Analysis, DNA / Q000379:methods*
D004273:DNA, Neoplasm
cytological smear; macrodissection; next-generation sequencing; precision medicine; single-nucleotide polymorphism array; whole-exome sequencing