Unlocking the Potential of Circulating miRNAs in the Breast Cancer Neoadjuvant Setting: A Systematic Review and Meta-Analysis

Flavonoids as modulators of miRNA expression in pancreatic cancer: Pathways, Mechanisms, And Therapeutic Potential

Pancreatic cancer (PC) is a complex malignancy, distinguished by its aggressive characteristics and unfavorable prognosis. Recent developments in understanding the molecular foundations of this disease have brought attention to the noteworthy involvement of microRNAs (miRNAs) in disease development, advancement, and treatment resistance. The anticancer capabilities of flavonoids, which are a wide range of phytochemicals present in fruits and vegetables, have attracted considerable interest because of their ability to regulate miRNA expression. This review provides the effects of flavonoids on miRNA expression in PC, explains the underlying processes, and explores the possible therapeutic benefits of flavonoid-based therapies. Flavonoids inhibit PC cell proliferation, induce apoptosis, and enhance chemosensitivity via the modulation of miRNAs involved in carcinogenesis. Additionally, this review emphasizes the significance of certain miRNAs as targets of flavonoid action. These miRNAs have a role in regulating important signaling pathways such as the phosphoinositide-3-kinase-protein kinase B/Protein kinase B (Akt), mitogen activated protein kinase (MAPK), Janus kinase/signal transducers and activators of transcription (JAK/STAT), and Wnt/β-catenin pathways. This review aims to consolidate current knowledge on the interaction between flavonoids and miRNAs in PC, providing a comprehensive analysis of how flavonoid-mediated modulation of miRNA expression could influence cancer progression and therapy. It highlights the use of flavonoid nanoformulations to enhance stability, increase absorption, and maximize anti-PC activity, improving patient outcomes. The review calls for further research to optimize the use of flavonoid nanoformulations in clinical trials, leading to innovative treatment strategies and more effective approaches for PC.

BRCA Mutations and MicroRNA Expression Patterns in the Peripheral Blood of Breast Cancer Patients

Breast cancer (BC) persists as the predominant malignancy globally, standing as the foremost cause of cancer-related mortality among women. Despite notable advancements in prevention and treatment, encompassing the incorporation of targeted immunotherapies, a continued imperative exists for the development of innovative methodologies. These methodologies would facilitate the identification of women at heightened risk, enhance the optimization of therapeutic approaches, and enable the vigilant monitoring of emergent treatment resistance. Circulating microRNAs (miRNAs), found either freely circulating in the bloodstream or encapsulated within extracellular vesicles, have exhibited substantial promise for diverse clinical applications. These applications range from diagnostic and prognostic assessments to predictive purposes. This study aimed to explore the potential associations between BRCA mutations and specific miRNAs (miR-21, miR-155, miR-126, and miR-200c) expression that are known to be dysregulated in BC patient samples. Our findings indicate a robust correlation between miRNA expression status and disease subtypes. We found a correlation between the expression status of miRNAs and distinct disease subtypes. Intriguingly, however, no significant associations were discerned between disease status, subtypes, or miRNA expression levels and the presence of BRCA mutations. To advance the validation of miRNAs as clinically relevant biomarkers, additional investigations within larger and meticulously selected patient cohorts are deemed imperative. These microRNA entities hold the potential to emerge as groundbreaking and readily accessible tools, poised for seamless integration into the landscape of clinical practice.

An evolutionary learning-based method for identifying a circulating miRNA signature for breast cancer diagnosis prediction

Breast cancer (BC) is one of the most commonly diagnosed cancers worldwide. As key regulatory molecules in several biological processes, microRNAs (miRNAs) are potential biomarkers for cancer. Understanding the miRNA markers that can detect BC may improve survival rates and develop new targeted therapeutic strategies. To identify a circulating miRNA signature for diagnostic prediction in patients with BC, we developed an evolutionary learning-based method called BSig. BSig established a compact set of miRNAs as potential markers from 1280 patients with BC and 2686 healthy controls retrieved from the serum miRNA expression profiles for the diagnostic prediction. BSig demonstrated outstanding prediction performance, with an independent test accuracy and area under the receiver operating characteristic curve were 99.90% and 0.99, respectively. We identified 12 miRNAs, including hsa-miR-3185, hsa-miR-3648, hsa-miR-4530, hsa-miR-4763-5p, hsa-miR-5100, hsa-miR-5698, hsa-miR-6124, hsa-miR-6768-5p, hsa-miR-6800-5p, hsa-miR-6807-5p, hsa-miR-642a-3p, and hsa-miR-6836-3p, which significantly contributed towards diagnostic prediction in BC. Moreover, through bioinformatics analysis, this study identified 65 miRNA-target genes specific to BC cell lines. A comprehensive gene-set enrichment analysis was also performed to understand the underlying mechanisms of these target genes. BSig, a tool capable of BC detection and facilitating therapeutic selection, is publicly available at https://github.com/mingjutsai/BSig.

miR-125 in Breast Cancer Etiopathogenesis: An Emerging Role as a Biomarker in Differential Diagnosis, Regenerative Medicine, and the Challenges of Personalized Medicine

Breast Cancer (BC) is one of the most common cancer types worldwide, and it is characterized by a complex etiopathogenesis, resulting in an equally complex classification of subtypes. MicroRNA (miRNA or miR) are small non-coding RNA molecules that have an essential role in gene expression and are significantly linked to tumor development and angiogenesis in different types of cancer. Recently, complex interactions among coding and non-coding RNA have been elucidated, further shedding light on the complexity of the roles these molecules fulfill in cancer formation. In this context, knowledge about the role of miR in BC has significantly improved, highlighting the deregulation of these molecules as additional factors influencing BC occurrence, development and classification. A considerable number of papers has been published over the past few years regarding the role of miR-125 in human pathology in general and in several types of cancer formation in particular. Interestingly, miR-125 family members have been recently linked to BC formation as well, and complex interactions (competing endogenous RNA networks, or ceRNET) between this molecule and target mRNA have been described. In this review, we summarize the state-of-the-art about research on this topic.

Circulating microRNAs as potential biomarkers in triple-negative breast cancer: a translational research study of the NACATRINE trial

Liquid biopsy is increasingly vital in monitoring neoadjuvant breast cancer treatment. This study collected plasma samples at three time points from participants in the Neoadjuvant Carboplatin in Triple Negative Breast Cancer (NACATRINE), analyzing miRNA expression with NanoString's nCounter® Human v3 miRNA assay. In the carboplatin arm, four ct-miRNAs exhibited dynamic changes linked to pathologic complete response, with a combined area under the curve of 0.811. Similarly, the non-carboplatin arm featured four ct-miRNAs with an area under the curve of 0.843. These findings underscore the potential of ct-miRNAs as personalized tools in breast cancer treatment, assisting in predicting treatment response and assessing the risk of relapse. Integrating ct-miRNA analysis into clinical practice can optimize decisions and enhance patient outcomes.