MicroRNAs (miRNAs) are a family of endogenous, small (approximately 22 nucleotides in length), noncoding, functional RNAs. With the development of molecular biology, the research of miRNA bio-logical function has attracted significant interest, as abnormal miRNA expression is identified to contribute to serious human diseases such as cancers. Traditional methods for miRNA detection do not meet current demands. In particular, nanomaterial-based methods, nucleic acid amplification-based methods such as rolling circle amplification (RCA), loop-mediated isothermal amplification (LAMP), strand-displacement amplification (SDA) and some enzyme-free amplifications have been employed widely for the highly sensitive detection of miRNA. MiRNA functional research and clinical diagnostics have been accelerated by these new techniques. Herein, we summarize and discuss the recent progress in the development of miRNA detection methods and new applications. This review will provide guidelines for the development of follow-up miRNA detection methods with high sensitivity and spec-ificity, and applicability to disease diagnosis and therapy.

Objective:To investigate the clinical application value of frameless stereotactic electroencephalography (SEEG) electrode implantation assisted by domestic Remebot robot in patients with drug-refractory epilepsy.Methods:Ten patients with medically-refractory epilepsy, admitted to and accepted SEEG electrode implantation assisted by domestic Remebot robot in our hospital from October 2021 to March 2022, were chosen in our study. Epileptogenic focuses of these patients were determined. Bone Fiducial Markers were used for registration during surgery, and the registration error and implantation time of each electrode were recorded in detail. Thin-layer CT scan was performed immediately after surgery to observe the occurrence of complications. Three-dimensional reconstruction of all implanted electrodes was performed postoperatively, which was fused with the preoperative surgical planning paths and targets, and the electrode entry point error and target error were calculated.Results:SEEG electrodes were implanted in all 10 patients with the assistance of frameless surgical robot, and the resection areas were accurately determined according to the results of SEEG records. The registered error of these 10 patients was (0.24±0.03) mm. A total of 97 SEEG electrodes were implanted, and the average effective implantation time of each electrode was (6.3±1.2) min. After the fusion of three-dimensional electrode reconstruction with preoperative surgical plan, the mean entry point error of 97 electrodes was (1.9±1.2) mm, and the mean target error was (2.1±1.2) mm. Immediate postoperative head CT showed that none of the 10 patients had surgical complications such as intracranial hemorrhage or severe pneumoencephalos.Conclusion:The SEEG electrode implantation assisted by Remebot frameless robot is safe, accurate, and effective, which can meet the clinical needs.

Objective:To study the efficiency and safety of domestic Remebot robot (neurosurgical positioning and navigation system) in the resection of craniocerebral microlesions and functional area lesions.Methods:Twelve patients accepted resection of craniocerebral microlesions and functional area lesions in our hospital from October 2021 to March 2022 were chosen in our study; navigation, localization and resection of craniocerebral microlesions and functional area lesions were performed with assistance of Remebot robot. Surface Markers were used for optical registration during the surgery, and the registration error was recorded in detail. Scalp incision and bone flap boundary were designed by laser navigation. Postoperative head CT and MRI scan were performed to observe intracranial hemorrhage and lesion resection. The postoperative image was fused with the preoperative surgical plan to calculate the deviation between the planned and actual flap centers.Results:The patient registration error was 0.6-1.5 mm, with an average of (0.9±0.12) mm. The registration error of the manipulator was 0.09-0.12 mm. Preoperative and postoperative image fusion showed that the deviation between the planned and actual flap centers was 1.4-4.5 mm, with an average of (1.9±1.1) mm. All surgical procedures were performed with robot laser navigation to find the lesion boundary along the planned path at one time, which was less destructive to the cortex and surrounding tissues. Postoperative head CT or MRI examination showed that all lesions were completely resected. No serious complications occurred in these 12 patients.Conclusion:Domestic robot can provide precise localization and navigation function for the resection of craniocerebral microlesions and functional area lesions, improving the surgical efficiency and ensuring the safety of surgery.

As an important component of the tumor microenvironment, cancer-associated fibroblasts (CAFs) secrete energy metabolites to supply energy for tumor progression. Abnormal regulation of long noncoding RNAs (lncRNAs) is thought to contribute to glucose metabolism, but the role of lncRNAs in glycolysis in oral CAFs has not been systematically examined. In the present study, by using RNA sequencing and bioinformatics analysis, we analyzed the lncRNA/mRNA profiles of normal fibroblasts (NFs) derived from normal tissues and CAFs derived from patients with oral squamous cell carcinoma (OSCC). LncRNA H19 was identified as a key lncRNA in oral CAFs and was synchronously upregulated in both oral cancer cell lines and CAFs. Using small interfering RNA (siRNA) strategies, we determined that lncRNA H19 knockdown affected proliferation, migration, and glycolysis in oral CAFs. We found that knockdown of lncRNA H19 by siRNA suppressed the MAPK signaling pathway, 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 3 (PFKFB3) and miR-675-5p. Furthermore, the lncRNA H19/miR-675-5p/PFKFB3 axis was involved in promoting the glycolysis pathway in oral CAFs, as demonstrated by a luciferase reporter system assay and treatment with a miRNA-specific inhibitor. Our study presents a new way to understand glucose metabolism in oral CAFs, theoretically providing a novel biomarker for OSCC molecular diagnosis and a new target for antitumor therapy.
Cancer-Associated Fibroblasts/metabolism* ; Carcinoma, Squamous Cell/genetics* ; Cell Line, Tumor ; Cell Proliferation ; Gene Expression Regulation, Neoplastic ; Glycolysis ; Head and Neck Neoplasms ; Humans ; MicroRNAs/metabolism* ; Mouth Neoplasms/genetics* ; Phosphofructokinase-2/genetics* ; RNA, Long Noncoding/genetics* ; Signal Transduction ; Tumor Microenvironment