Department of Histopathology, Postgraduation Institute of Medical Education and Research (PGIMER), Chandigarh 160012, India.
Keenan Research Centre for Biomedical Science and Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada.
Life Sci. 2020 Apr 1;246:117417. doi: 10.1016/j.lfs.2020.117417. Epub 2020 Feb 7.
Breast cancer is one of the genetic diseases causing a high mortality among women around the world. Despite the availability of advanced diagnostic tools and treatment strategies, the incidence of breast cancer is increasing every year. This is due to the lack of accurate and reliable biomarkers whose deficiency creates difficulty in early breast cancer recognition, subtypes determination, and metastasis prophecy. Although biomarkers such as ER, PR, Her2, Ki-67, and other genetic platforms e.g. MammaPrint®, Oncotype DX®, Prosigna® or EndoPredict® are available for determination of breast cancer diagnosis and prognosis. However, pertaining to heterogeneous nature, lack of sensitivity, and specificity of these markers, it is still incessant to overcome breast cancer burden. Therefore, a novel biomarker is urgently needed for therapeutic diagnosis and improving prognosis. Lately, it has become more evident that cell-free miRNAs might be useful as good non-invasive biomarkers that are associated with different events in carcinogenesis. For example, some known biomarkers such as miR-21, miR-23a, miR-34a are associated with molecular subtyping and different biomolecular aspects i.e. apoptosis, angiogenesis, metastasis, and miR-1, miR-10b, miR-16 are associated with drug response. Cell-free miRNAs present in human body fluids have proven to be potential biomarkers with significant prognostic and predictive values. Numerous studies have found a distinct expression profile of circulating miRNAs in breast tumour versus non-tumour and in early and advanced-stage, thus implicating its clinical relevance. This review article will highlight the importance of different cell-free miRNAs as a biomarker for early breast cancer detection, subtype classification, and metastasis forecast.
乳腺癌是全球女性死亡率较高的遗传疾病之一。尽管有先进的诊断工具和治疗策略,但乳腺癌的发病率仍在逐年上升。这是因为缺乏准确可靠的生物标志物,其缺乏导致早期乳腺癌识别、亚型确定和转移预测困难。尽管 ER、PR、Her2、Ki-67 等生物标志物以及 MammaPrint®、Oncotype DX®、Prosigna®或 EndoPredict®等遗传平台可用于确定乳腺癌的诊断和预后。然而,由于这些标志物的异质性、敏感性和特异性缺乏,仍然需要克服乳腺癌的负担。因此,迫切需要一种新的生物标志物用于治疗诊断和改善预后。最近,越来越明显的是,细胞游离 miRNA 可能是一种有用的非侵入性生物标志物,与癌变过程中的不同事件相关。例如,一些已知的生物标志物,如 miR-21、miR-23a、miR-34a,与分子亚型和不同的生物分子方面相关,如细胞凋亡、血管生成、转移,miR-1、miR-10b、miR-16 与药物反应相关。人体体液中的细胞游离 miRNA 已被证明是具有显著预后和预测价值的潜在生物标志物。许多研究发现,循环 miRNA 在乳腺癌与非肿瘤、早期和晚期的表达谱明显不同,因此暗示其具有临床相关性。本文综述了不同细胞游离 miRNA 作为早期乳腺癌检测、亚型分类和转移预测的生物标志物的重要性。