ABSTRACT
Background: This study aimed to explore the potential effects of long non-coding RNAs (lncRNAs) in multiple myeloma (MM) patients using two detection methods: high-throughput sequencing and microarray. Methods: In this study, lncRNAs were detected in 20 newly diagnosed MM patients, with 10 patients analyzed by whole transcriptome-specific RNA sequencing and 10 patients analyzed by microarray (Affymetrix Human Clariom D). The expression levels of lncRNAs, microRNAs, and messenger RNAs (mRNAs) were analyzed, and the differentially expressed lncRNAs identified by both methods were selected. The significant differentially expressed lncRNAs were further validated using PCR. Results: This study established the aberrant expression of certain lncRNAs involved in the occurrence of MM, with AC007278.2 and FAM157C showing the most significant differences. The top 5 common pathways identified by the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were the chemokine signaling pathway, inflammatory mediator regulation, Th17 cell differentiation, apoptosis, and NF-kappa B signaling pathway. Furthermore, three microRNAs (miRNAs) (miR-4772-3p, miR-617, and miR-618) were found to constitute competing endogenous RNA (ceRNA) networks in both sequencing and microarray analyses. Conclusions: By the combination analysis, our understanding of lncRNAs in MM will be increased significantly. More overlapping differentially expressed lncRNAs were found to predict therapeutic targets precisely.
ABSTRACT
Accumulating studies have focused on circulating microRNAs, which might be potential biomarkers for different malignancies. The aim of this study was to investigate the potential of serum exosomal microRNAs to be novel serum biomarkers for smouldering myeloma (SMM) or even multiple myeloma (MM). The levels of serum exosomal microRNAs and serum circulating microRNAs were measured in healthy individuals and patients with SMM (n = 20) or MM (n = 20). Serum exosomal microRNAs and serum circulating microRNAs were extracted from serum, and the expression levels of selected microRNAs were quantified by real-time polymerase chain reaction (PCR). The levels of serum exosome-derived miR-20a-5p, miR-103a-3p, and miR-4505 were significantly different among patients with MM, patients with SMM, and healthy individuals, while there were differences in the levels of let-7c-5p, miR-185-5p, and miR-4741 in patients with MM relative to those in SMM patients or healthy controls. Additionally, a significant correlation was rarely found between the levels of serum and exosomal microRNAs. This study shows that serum exosomal microRNAs can be used independently as novel serum biomarkers for MM.
Subject(s)
Exosomes/chemistry , MicroRNAs/blood , Multiple Myeloma/blood , RNA, Neoplasm/blood , Adult , Aged , Asymptomatic Diseases , Biomarkers, Tumor/blood , Female , Gene Expression Profiling , Humans , Male , MicroRNAs/biosynthesis , MicroRNAs/genetics , Middle Aged , Monoclonal Gammopathy of Undetermined Significance/blood , RNA, Neoplasm/biosynthesis , RNA, Neoplasm/geneticsABSTRACT
OBJECTIVE: To analyze the expression of deleted in liver cancer 1 (DLC1) and phosphorelated focal adhesion kinase (p-FAK) in breast cancer tissue to further understand the molecular mechanisms of the carcinogenesis and metastasis of breast cancer. METHODS: Immunohistochemistry was employed to determine the protein level of DLC1 and p-FAK in 61 breast cancer, 30 benign breast disease and the adjacent normal breast tissues. RESULTS: The positivity rates of DLC1 differed significantly between breast cancer, benign and normal tissues (34.43%, 80.00% and 76.67%, respectively, P<0.001). The positivity rates of p-FAK in the 3 tissues were 77.05%, 33.33% and 26.67%, also showing significant differences (P<0.001). The aberrant expression of DLC1 showed an inverse correlation to p-FAK (κ=-0.4591). Both DLC1 and p-FAK were closely correlated to the carcinogenesis, clinical stage, PR and lymphatic metastasis of breast cancer (P<0.05), but not to the patients age, pathological subtype, familial history, ER or CerbB-2 (P>0.05). CONCLUSION: The abnormal expression of DLC1 and p-FAK might participate in the carcinogenesis, progression, and metastasis of breast cancer. The role of DLC1 and p-FAK might be related to the regulation of progestone. DLC1 and p-FAK may serve as candidate markers for early diagnosis, prognostic evaluation and target treatment of breast cancer.
