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Oral mucosal scrapes capture cancer associated microRNA expression consistent with histopathology
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  • Published: 25 March 2026

Oral mucosal scrapes capture cancer associated microRNA expression consistent with histopathology

  • Nadia Kaunein1,2,
  • Michael McCullough1,3,
  • Catherine Butler1,
  • Nirav Bhatia1,3,
  • Ivy Tan1,
  • Caroline Moore1,
  • Christopher Angel4 &
  • …
  • Tami Yap1,3 

Scientific Reports , Article number:  (2026) Cite this article

  • 462 Accesses

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Biomarkers
  • Cancer
  • Computational biology and bioinformatics
  • Diseases
  • Oncology

Abstract

Oral mucosal abnormalities considered to have malignant potential may involve a large area of mucosa. Standard care histopathological investigation is invasive, limited to site selection and subject to variation in assessment between pathologists. A quantitative, minimally invasive, rapidly collected, oral mucosal site-specific assessment will assist in decision making and increase diagnostic precision. This study aimed to validate a workflow to analyse oral scrape derived cancer-associated microRNA analysis for mucosal site-specific assessment as a surrogate biomarker to histopathological diagnosis. Forty-one oral scrapes were collected from 33 patients undergoing investigation at the Royal Dental Hospital of Melbourne before mucosal biopsy. RNA from oral scrapes was used to investigate ten cancer-associated microRNAs. An algorithm for categorical high or low-risk based on histopathological diagnosis was developed. The novel risk stratification algorithm utilised two microRNAs and categorised all cases of carcinoma and severe dysplasia as high-risk and accurately distinguished all non-potentially malignant disorders as low-risk lesions. This study provides proof-of-concept that oral scrapes can be predictably collected in a clinical workflow to assess the expression of cancer-associated microRNA specific to an oral mucosal site with minimal invasiveness.

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Data availability

All processed data generated or analysed during this study are included in this published article. Raw data are available from the corresponding author on reasonable request.

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Acknowledgements

This work was generously funded by the Australian Dental Research Foundation (ADRF), Early Career Research Grant (UoM), Australia and New Zealand Head and Neck Cancer Society Research Foundation (ANZHNCSRF), Medical Research Future Fund – BioMedTech Horizons (BMTH) program awarded in partnership with Optiscan Imaging. Nadia Kaunein was a recipient of an Australian Government Research Training Program Scholarship provided by the Australian Commonwealth Government and the University of Melbourne.

Funding

Australian Dental Research Foundation(ADRF), Early Career Research Grant(UoM), Australia-New Zealand Head and Neck Cancer Society Research Foundation(ANZHNCSRF), Medical Research Future Fund–BioMedTech Horizons(BMTH) program awarded with Optiscan-Imaging. NK was a recipient of Australian Government Research Training Program Scholarship.

Author information

Authors and Affiliations

  1. Melbourne Dental School, The University of Melbourne, 720, Swanston Street, Carlton, Victoria, 3053, Australia

    Nadia Kaunein, Michael McCullough, Catherine Butler, Nirav Bhatia, Ivy Tan, Caroline Moore & Tami Yap

  2. Melbourne School of Population and Global Health, The University of Melbourne, 720, Swanston Street, Carlton, Victoria, 3053, Australia

    Nadia Kaunein

  3. Oral Medicine Unit, Royal Dental Hospital of Melbourne, 720 Swanston Street, Carlton, Victoria, 3053, Australia

    Michael McCullough, Nirav Bhatia & Tami Yap

  4. Department of Pathology, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, Victoria, 3000, Australia

    Christopher Angel

Authors
  1. Nadia Kaunein
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Contributions

NK-Writing-original draft, data curation, formal analysis, investigation, methodology, project admin, visualization, writing review and editing.MMC- Inception, Experiment Design and Conduction, Funding, Manuscript Review, Supervision, Writing – review and editingCB- Supervision, Writing - review and editingNB- Methodology, Writing – review and editingIV- Methodology, Writing – review and editingCM- Writing – review and editingCA- Writing - review and editingTY- Inception, Experiment Design and Conduction, Funding, Manuscript Review, Writing – review and editing.

Corresponding author

Correspondence to Nadia Kaunein.

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competing interests

The authors declare no competing interests.

Ethics

The study was approved by the Human Research Ethics Committee of the University of Melbourne (2021-13213-18885-5) and the Royal Dental Hospital Melbourne (2021- 22004-22381-5). Informed written consent was obtained from all participants.

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Cite this article

Kaunein, N., McCullough, M., Butler, C. et al. Oral mucosal scrapes capture cancer associated microRNA expression consistent with histopathology. Sci Rep (2026). https://doi.org/10.1038/s41598-026-45078-z

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  • Received: 12 January 2026

  • Accepted: 17 March 2026

  • Published: 25 March 2026

  • DOI: https://doi.org/10.1038/s41598-026-45078-z

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Keywords

  • Oral Squamous Cell Carcinoma
  • MicroRNA
  • Scrapes
  • Algorithm
  • miR-21
  • miR-181
  • miR-99a
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