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鉴定乳腺癌基因工程 C(3)1-TAg 小鼠模型唾液中的早期生物标志物。

Identification of early biomarkers in saliva in genetically engineered mouse model C(3)1-TAg of breast cancer.

机构信息

Department of Pathology, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.

Post Graduate Program in Dentistry, Cruzeiro do Sul University, São Paulo, Brazil.

出版信息

Sci Rep. 2022 Jul 7;12(1):11544. doi: 10.1038/s41598-022-14514-1.

Abstract

Breast cancer is one of leading causes of death worldwide in the female population. Deaths from breast cancer could be reduced significantly through earlier and more efficient detection of the disease. Saliva, an oral fluid that contains an abundance of protein biomarkers, has been recognized as a promising diagnostic biofluid that is easy to isolate through non-invasive techniques. Assays on saliva can be performed rapidly and are cost-effective. Therefore, our work aimed to identify salivary biomarkers present in the initial stages of breast cancer, where cell alterations are not yet detectable by histopathological analysis. Using state-of-the-art techniques, we employed a transgenic mouse model of mammary cancer to identify molecular changes in precancerous stage breast cancer through protein analysis in saliva. Through corroborative molecular approaches, we established that proteins related to metabolic changes, inflammatory process and cell matrix degradation are detected in saliva at the onset of tumor development. Our work demonstrated that salivary protein profiles can be used to identify cellular changes associated with precancerous stage breast cancer through non-invasive means even prior to biopsy-evident disease.

摘要

乳腺癌是全球女性人群中主要的致死病因之一。通过更早、更高效地发现这种疾病,可以显著降低乳腺癌的死亡率。唾液是一种含有丰富蛋白质生物标志物的口腔液体,已被认为是一种很有前途的诊断生物流体,可通过非侵入性技术轻松分离。唾液检测可快速进行,且具有成本效益。因此,我们的工作旨在鉴定出乳腺癌早期阶段的唾液生物标志物,在这一阶段,组织病理学分析还无法检测到细胞变化。我们利用最先进的技术,通过乳腺肿瘤的转基因小鼠模型,在唾液中进行蛋白质分析,从而鉴定出癌前阶段乳腺癌的分子变化。通过补充性分子方法,我们确定在肿瘤发生的早期阶段,与代谢变化、炎症过程和细胞基质降解相关的蛋白质会在唾液中被检测到。我们的工作表明,通过非侵入性手段,甚至在活检明确疾病之前,唾液蛋白谱可用于识别与癌前阶段乳腺癌相关的细胞变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1dd/9263110/8f7a2d7a5672/41598_2022_14514_Fig1_HTML.jpg

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