Breast cancer research : BCR

Using microRNA to predict the risk of cancer spread in breast cancer patients

Updated

Abstract

Eight differentially expressed miRNAs were identified in a discovery cohort of 34 breast cancer patients.

  • miR-3916 expression was associated with a reduced risk of metastasis (odds ratio = 0.42).
  • Higher levels of miR-3613-5p were linked to an increased risk of developing metastases (odds ratio = 2.06).
  • Incorporating miR-3916 and miR-3613-5p into a predictive model improved risk discrimination (AUC = 0.85).
  • The model was effective across all breast cancer subtypes.
  • miR-3613-5p was more abundant in tumor extracellular vesicles compared to benign lesions.
  • In silico analyses suggest miR-3613-5p and miR-3916 play roles in processes related to metastasis, such as cell plasticity and DNA damage response.

Simplified

Key numbers

0.42
Odds Ratio for
Odds ratio indicating association with metastasis risk.
2.06
Odds Ratio for
Odds ratio indicating association with metastasis risk.
0.85
improvement
Area under the curve for the multivariable model.

Full Text

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Funding

Competing interests

Declarations. Ethics approval and consent to participate: The study methodologies using human samples were carried out following the international of Helsinki Declaration 7th revision (2013, EU Directive 2004/23/EC) and the Italian (D. Lgs. 30/06/2003, n. 196) regulations for research on human subjects. All experimental procedures of this study were approved by the Ethical Committee of the IRCCS Casa Sollievo della Sofferenza (Prot N 140/CE). The informed consent was obtained from all patients following the experimental protocol approved by the Ethical Committee. Consent for pubblication: Not applicable. Competing interests: The authors declare no competing interests.
PubMed

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