The purpose of our research was to evaluate diagnostic performance of serum microRNA-135a (miR-135a) in non-small cell lung cancer (NSCLC).Quantitative real time-polymerase chain reaction was employed to detect the expression serum of miR-135a in NSCLC patients and controls. The influence of serum miR-135a level on clinical characteristics of NSCLC patients was explored through the Chi-square test. Serum carcinoembryonic antigen (CEA) level was estimated via enzyme-linked immunosorbent assay. Receiver operating characteristic (ROC) curve was plotted to elucidate diagnostic roles of serum miR-135a and CEA in NSCLC.The expression level of serum miR-135a was significantly lower in NSCLC patients than in healthy controls (0.40 ± 0.29 vs 1.00 ± 0.40, P < .001). Moreover, miR-135a expression was related to lymph node metastasis (P = .021), tumor differentiation (P = .020), and tumor node metastasis stage (P = .031). ROC curve showed serum miR-135a level could discriminate NSCLC patients from healthy controls (P < .0001) with a corresponding cutoff value of 0.665, and a sensitivity and specificity of 81.3% and 83.1%, respectively. The area under the curve was 0.888. In diagnosis analysis on the combination of miR-135a and CEA, when its specificity was maintained at 90%, diagnosis cut-off point reached 0.678.Serum miR-135a level is significantly downregulated in NSCLC and serves as a potential diagnostic biomarker for the disease.
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http://dx.doi.org/10.1097/MD.0000000000017814 | DOI Listing |
Genes (Basel)
December 2024
Department of Biochemistry & Biotechnology, School of Health Sciences, University of Thessaly, 41335 Larissa, Greece.
Background/objectives: Testicular germ cell tumors (TGCT) are common in young adult men and have high cure rates. Conventional serum tumor markers and imaging are not able to differentiate between histologic subtypes of the disease, which portend different prognoses and require distinct therapeutic strategies. Micro-RNAs (miRNAs) are small non-coding transcripts involved in the post-transcriptional regulation of gene expression, which have emerged as promising biomarkers in a variety of tumors.
View Article and Find Full Text PDFExp Neurol
December 2024
Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China. Electronic address:
MicroRNAs (miRNAs) are widely involved in signal transduction and regulation during cerebral ischemia-reperfusion injury (CIRI). This study investigates the molecular mechanisms of the specific miRNA/DDX3X/NLRP3 pathway in early-stage CIRI and explores its potential clinical applications. Through public database analysis, miR-135a-5p targeting DDX3X after CIRI was determined.
View Article and Find Full Text PDFKaohsiung J Med Sci
January 2025
Department of Rehabilitation Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.
Int J Mol Sci
September 2024
College of Animal Science, South China Agricultural University, Guangzhou 510642, China.
The objectives of this investigation were to identify differentially expressed circular RNAs (circRNAs) in the hypothalamus of goats with high and low prolificacy and construct a circRNA-mRNA regulatory network to uncover key potential circRNAs that influence goat prolificacy. Transcriptome analysis was performed on hypothalamus samples from low-prolificacy ( = 5) and high-prolificacy ( = 6) Chuanzhong black goats to identify circRNAs that influence prolificacy in these goats. Differential expression analysis identified a total of 205 differentially expressed circRNAs, comprising 100 upregulated and 105 downregulated circRNAs in the high-prolificacy group compared with the low-prolificacy group.
View Article and Find Full Text PDFCurr Neuropharmacol
August 2024
Department of Medical, Surgical and Advanced Technologies 'G.F. Ingrassia', University of Catania, Catania, Italy.
Background: The identification of specific circulating miRNAs has been proposed as a valuable tool for elucidating the pathophysiology of brain damage or injury and predicting patient outcomes.
Objective: This study aims to apply several bioinformatic tools in order to clarify miRNA interactions with potential genes involved in brain injury, emphasizing the need of using a computational approach to determine the most likely correlations between miRNAs and target genes. Specifically, this study centers on elucidating the roles of miR-34b, miR-34c, miR-135a, miR-200c, and miR-451a.
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