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Fine-needle aspiration cytology in head and neck diagnosis.

ABSTRACT: The proper performing of the fine-needle aspiration cytology of head and neck neoplasms leads to an accurate preoperative diagnosis by an inexpensive and relatively simple technique.

SUBMITTER: Tempesta A

PROVIDER: S-EPMC6406213 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Fine-needle aspiration cytology in head and neck diagnosis.

Tempesta Angela A Limongelli Luisa L Capodiferro Saverio S Maiorano Eugenio E Favia Gianfranco G

Clinical case reports 20190207 3

The proper performing of the fine-needle aspiration cytology of head and neck neoplasms leads to an accurate preoperative diagnosis by an inexpensive and relatively simple technique. ...[more]

PMID: 30899511

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Project description:INTRODUCTION. Gene expression profiling has emerged as a potentially useful tool for personalized management of breast cancer. Adequate RNA can be obtained for this scope from dedicated fine-needle aspiration cytology (FNAC), with the limitation that separate sampling prohibits direct comparison with the material used for cytology. The aim of this study was to investigate whether syringe leftovers of cytological smears obtained in diagnostic FNACs can be successfully used to extract RNA for reliable PCR- and microarray-based gene expression analysis. METHODS. Twenty-eight FNACs were performed under ultrasound guide. After preparing two smears for cytological diagnosis, the syringes were immediately rinsed with Trizol® to extract RNA from residual material. The abundance and type of cells obtained from the smears was recorded and compared to RNA amounts and quality as determined by spectrophotometry and RT-PCR. FNAC leftovers of eleven breast cancers of different size, histological type, grade and immunoprofile were then selected for gene expression profiling using oligonucleotide microarrays. RESULTS. FNAC leftovers yielded an average of over 10 micrograms of RNA, more proportional to the amount of cells on the smear than to the lesion size, and adequate for expression analysis in 26/28 cases. The samples chosen for microarray analysis were clustered according to four criteria: (i) gene expression profiles of all detected genes; (ii) gene expression profiles of a previously defined stromal gene signature; (iii) “biological scores”, related to diagnostic cytological variables; (iv) “technical scores”, related to RNA/cRNA/microarray quality controls. Clusters generated by both expression profiles partitioned the samples in well-distinguished subgroups that were highly overlapping with clusters obtained using biological scores. Conversely, poor overlap was observed with clusters based on technical scores, demonstrating that sample divergences in RNA quality and amounts due to acquisition, handling and processing did not severely influence gene expression profiling. CONCLUSIONS. The syringe leftover after the smearing procedures of FNAC samples is suitable for RNA banking even when taken from small, non-palpable breast lesions, which guarantees congruity between morphological and molecular analysis. RNA yield mostly correlates with cellularity of the smears, and gene expression profiles are consistent with the cytologic features, and therefore with tumour biology.

Dataset Information

Fine-needle aspiration cytology in head and neck diagnosis.

Publications

Fine-needle aspiration cytology in head and neck diagnosis.

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