Correlation of exosomal microRNA clusters with bone metastasis in non-small cell lung cancer

• DOI: 10.1007/s10585-020-10062-y
• Publication Date: 2020-11-24T09:03:01Z
• Authors: Xiao-Rong Yang; Can Pi; Ruoying Yu; Xiao-Jun Fan; Xiao-Xiao Peng; Xu-Chao Zhang; Zhi-Hong Chen; Xue Wu; Yang Shao; Yi-Long Wu; Qing Zhou
• Keywords: Surgical oncology

20-40% of lung cancer patients develop bone metastasis (BM) with significantly decreased overall survival. Currently, BM is mainly diagnosed by computerized tomography (CT) scan or magnetic resonance imaging (MRI) when symptom develops. Novel biomarkers higher prediction value are needed. Plasma-derived exosomal microRNAs had been isolated and sequenced total 30 non-small cell (NSCLC) including 16 14 without metastasis. Hierarchical clustering based on the miRNA profile can clearly separate healthy individuals (H), but not (BM +) (BM-) BM. Weight Co-expression network miRNAs (WGCNA) analyses identified three consensus clusters (A, B, C) highly correlated miRNAs, among which cluster B (144 miRNAs) showed differential expression in patients, especially + group. Pathway analysis revealed enrichment metabolic pathways that may involve preconditioning metastatic niche. Three differentially expressed between BM- within were as miR-574-5p, a suppressor Wnt/β-catenin pathway, was down-regulated, while miR-328-3p miR-423-3p, two activators same up-regulated patients. Cluster A (n = 49) also trend upregulation Interestingly, pathway indicated 43 them associated chromosome14, has suggested to promote epithelial-mesenchymal transition (EMT)