Microfluidic chip technology applied to fine-needle aspiration cytology samples for IGH clonality assessment.


Journal

Diagnostic cytopathology
ISSN: 1097-0339
Titre abrégé: Diagn Cytopathol
Pays: United States
ID NLM: 8506895

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 04 01 2019
revised: 15 03 2019
accepted: 19 03 2019
pubmed: 7 4 2019
medline: 18 12 2019
entrez: 7 4 2019
Statut: ppublish

Résumé

Most cases of non-Hodgkin lymphoma (NHL) can be diagnosed using a combination of fine-needle cytology (FNC) and flow cytometry together with immunoglobulin light chain restriction and/or specific phenotypic profiles. However, 5%-15% of B-cell NHLs lack these specific diagnostic features. In such cases, the diagnosis of NHL may be supported by molecular clonality testing based on the immunoglobulin heavy chain (IGH) assay of clonality by polyacrylamide heteroduplex analysis or by automated capillary electrophoresis via GeneScan analysis. Chip-based microfluidic technology (MT), based on miniaturized parallel capillary electrophoresis structures, is a viable alternative to capillary electrophoresis analysis, being less costly and cumbersome. In this study, we evaluated the performance of MT platform in IGH clonality assessment in a series of lymph node FNC samples. Thirty-five consecutive lymph node FNCs were evaluated. In all cases, the first and the second passes were used to prepare a conventional smear and to collect material for flow cytometry analysis; residual material was collected for molecular clonality assessment, and PCR products were analyzed both by MT and GeneScan platforms. Molecular clonality assessment by MT had a sensitivity of 84.2% and a specificity of 76.9%; GeneScan analysis had a sensitivity of 88.8% and a specificity of 92.8%. The overall agreement between the two platforms was 85.7% (30/35). MT analysis proved to be a viable technique for IGH clonality assessment on FNC samples. Should our data be confirmed in larger studies, the MT procedure may be suitable for routine diagnostic practice, even on cytological samples.

Sections du résumé

BACKGROUND BACKGROUND
Most cases of non-Hodgkin lymphoma (NHL) can be diagnosed using a combination of fine-needle cytology (FNC) and flow cytometry together with immunoglobulin light chain restriction and/or specific phenotypic profiles. However, 5%-15% of B-cell NHLs lack these specific diagnostic features. In such cases, the diagnosis of NHL may be supported by molecular clonality testing based on the immunoglobulin heavy chain (IGH) assay of clonality by polyacrylamide heteroduplex analysis or by automated capillary electrophoresis via GeneScan analysis. Chip-based microfluidic technology (MT), based on miniaturized parallel capillary electrophoresis structures, is a viable alternative to capillary electrophoresis analysis, being less costly and cumbersome. In this study, we evaluated the performance of MT platform in IGH clonality assessment in a series of lymph node FNC samples.
METHODS METHODS
Thirty-five consecutive lymph node FNCs were evaluated. In all cases, the first and the second passes were used to prepare a conventional smear and to collect material for flow cytometry analysis; residual material was collected for molecular clonality assessment, and PCR products were analyzed both by MT and GeneScan platforms.
RESULTS RESULTS
Molecular clonality assessment by MT had a sensitivity of 84.2% and a specificity of 76.9%; GeneScan analysis had a sensitivity of 88.8% and a specificity of 92.8%. The overall agreement between the two platforms was 85.7% (30/35).
CONCLUSIONS CONCLUSIONS
MT analysis proved to be a viable technique for IGH clonality assessment on FNC samples. Should our data be confirmed in larger studies, the MT procedure may be suitable for routine diagnostic practice, even on cytological samples.

Identifiants

pubmed: 30953406
doi: 10.1002/dc.24184
doi:

Substances chimiques

Immunoglobulin Heavy Chains 0
DNA 9007-49-2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

749-757

Informations de copyright

© 2019 Wiley Periodicals, Inc.

Auteurs

Elena Vigliar (E)

Department of Public Health, University of Naples "Federico II", Naples, Italy.

Francesco Pepe (F)

Department of Public Health, University of Naples "Federico II", Naples, Italy.

Ilaria Migliatico (I)

Department of Public Health, University of Naples "Federico II", Naples, Italy.

Mariantonia Nacchio (M)

Department of Public Health, University of Naples "Federico II", Naples, Italy.

Sonia Cesaro (S)

Department of Medicine (DIMED), Surgical Pathology & Cytopathology Unit, University of Padua, Padua, Italy.

Roberta Della Pepa (R)

Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.

Claudio Bellevicine (C)

Department of Public Health, University of Naples "Federico II", Naples, Italy.

Umberto Malapelle (U)

Department of Public Health, University of Naples "Federico II", Naples, Italy.

Matteo Fassan (M)

Department of Medicine (DIMED), Surgical Pathology & Cytopathology Unit, University of Padua, Padua, Italy.

Fabrizio Pane (F)

Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.

Marco Picardi (M)

Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.

Giancarlo Troncone (G)

Department of Public Health, University of Naples "Federico II", Naples, Italy.

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Classifications MeSH