Transcription Factors and Methylation Drive Prognostic miRNA Dysregulation in Hepatocellular Carcinoma

Current updates regarding biogenesis, functions and dysregulation of microRNAs in cancer: Innovative approaches for detection using CRISPR/Cas13‑based platforms (Review)

MicroRNAs (miRNAs) are short non‑coding RNAs, which perform a key role in cellular differentiation and development. Most human diseases, particularly cancer, are linked to miRNA functional dysregulation implicated in the expression of tumor‑suppressive or oncogenic targets. Cancer hallmarks such as continued proliferative signaling, dodging growth suppressors, invasion and metastasis, triggering angiogenesis, and avoiding cell death have all been demonstrated to be affected by dysregulated miRNAs. Thus, for the treatment of different cancer types, the detection and quantification of this type of RNA is significant. The classical and current methods of RNA detection, including northern blotting, reverse transcription‑quantitative PCR, rolling circle amplification and next‑generation sequencing, may be effective but differ in efficiency and accuracy. Furthermore, these approaches are expensive, and require special instrumentation and expertise. Thus, researchers are constantly looking for more innovative approaches for miRNA detection, which can be advantageous in all aspects. In this regard, an RNA manipulation tool known as the CRISPR and CRISPR‑associated sequence 13 (CRISPR/Cas13) system has been found to be more advantageous in miRNA detection. The Cas13‑based miRNA detection approach is cost effective and requires no special instrumentation or expertise. However, more research and validation are required to confirm the growing body of CRISPR/Cas13‑based research that has identified miRNAs as possible cancer biomarkers for diagnosis and prognosis, and as targets for treatment. In the present review, current updates regarding miRNA biogenesis, structural and functional aspects, and miRNA dysregulation during cancer are described. In addition, novel approaches using the CRISPR/Cas13 system as a next‑generation tool for miRNA detection are discussed. Furthermore, challenges and prospects of CRISPR/Cas13‑based miRNA detection approaches are described.

CircPIK3C3 inhibits hepatocellular carcinoma progression and lenvatinib resistance by suppressing the Wnt/β-catenin pathway via the miR-452-5p/SOX15 axis

INTRODUCTION

Resistance to lenvatinib limits the effectiveness of the targeted treatments for HCC. However, the exact mechanism behind this resistance remains elusive. Current research suggests that circular RNA (circRNA) is pivotal in mediating drug resistance during targeted treatments.

OBJECTIVES

To investigate the influence of circRNA on HCC progression and its resistance to lenvatinib.

METHODS

We identified the crucial circRNA hsa_circ_0005711 (circPIK3C3) through bioinformatics. Study (in-vitro and in-vivo) on the expression of circPIK3C3 (measured by qRT-PCR) and its association with progress of HCC patients including lenvatinib resistance were performed. Techniques such as dual-luciferase reporter assays, RNA FISH, RAP, and AGO2-RIP were employed for discerning circPIK3C3's specific mechanisms related to progression of HCC and its lenvatinib resistance.

RESULTS

Study (in-vitro and in-vivo) revealed that circPIK3C3 exhibited reduced expression and lenvatinib resistance in HCC, which was intimately tied to patient outcomes. Moreover, circPIK3C3 elevated SOX15 expression while suppressing the signaling pathway related to Wnt/β-catenin via inhibition of miR-452-5p through a competitive endogenous RNA (ceRNA) network. This, in turn, mitigated HCC progression and its resistance to lenvatinib.

CONCLUSION

CircPIK3C3 is instrumental in the disease progression and resistance to Lenvatinib in HCC. It presents a potential therapeutic avenue for patients with lenvatinib-resistant HCC and could serve as a valuable molecular marker for forecasting lenvatinib resistance in HCC patients.

LncRNA PTENP1/miR-21/PTEN Axis Modulates EMT and Drug Resistance in Cancer: Dynamic Boolean Modeling for Cell Fates in DNA Damage Response

It is well established that microRNA-21 (miR-21) targets phosphatase and tensin homolog (PTEN), facilitating epithelial-to-mesenchymal transition (EMT) and drug resistance in cancer. Recent evidence indicates that PTEN activates its pseudogene-derived long non-coding RNA, PTENP1, which in turn inhibits miR-21. However, the dynamics of PTEN, miR-21, and PTENP1 in the DNA damage response (DDR) remain unclear. Thus, we propose a dynamic Boolean network model by integrating the published literature from various cancers. Our model shows good agreement with the experimental findings from breast cancer, hepatocellular carcinoma (HCC), and oral squamous cell carcinoma (OSCC), elucidating how DDR activation transitions from the intra-S phase to the G2 checkpoint, leading to a cascade of cellular responses such as cell cycle arrest, senescence, autophagy, apoptosis, drug resistance, and EMT. Model validation underscores the roles of PTENP1, miR-21, and PTEN in modulating EMT and drug resistance. Furthermore, our analysis reveals nine novel feedback loops, eight positive and one negative, mediated by PTEN and implicated in DDR cell fate determination, including pathways related to drug resistance and EMT. Our work presents a comprehensive framework for investigating cellular responses following DDR, underscoring the therapeutic potential of targeting PTEN, miR-21, and PTENP1 in cancer treatment.

Elucidating hepatocellular carcinoma progression: a novel prognostic miRNA-mRNA network and signature analysis

There is increasing evidence that miRNAs play an important role in the prognosis of HCC. There is currently a lack of acknowledged models that accurately predict patient prognosis. The aim of this study is to create a miRNA-based model to precisely forecast a patient's prognosis and a miRNA-mRNA network to investigate the function of a targeted mRNA. TCGA miRNA dataset and survival data of HCC patients were downloaded for differential analysis. The outcomes of variance analysis were subjected to univariate and multivariate Cox regression analyses and LASSO analysis. We constructed and visualized prognosis-related models and subsequently used violin plots to probe the function of miRNAs in tumor cells. We predicted the target mRNAs added those to the String database, built PPI protein interaction networks, and screened those mRNA using Cytoscape. The hub mRNA was subjected to GO and KEGG analysis to determine its biological role. Six of them were associated with prognosis: hsa-miR-139-3p, hsa-miR-139-5p, hsa-miR-101-3p, hsa-miR-30d-5p, hsa-miR-5003-3p, and hsa-miR-6844. The prognostic model was highly predictive and consistently performs, with the C index exceeding 0.7 after 1, 3, and 5 years. The model estimated significant differences in the Kaplan-Meier plotter and the model could predict patient prognosis independently of clinical indicators. A relatively stable miRNA prognostic model for HCC patients was constructed, and the model was highly accurate in predicting patients with good stability over 5 years. The miRNA-mRNA network was constructed to explore the function of mRNA.

SP1-stimulated miR-208a-5p aggravates sepsis-induced myocardial injury via targeting XIAP

The development of sepsis can lead to many organ dysfunction and even death. Myocardial injury is one of the serious complications of sepsis leading to death. New evidence suggests that microRNAs (miRNAs) play a critical role in infection myocardial injury. However, the mechanism which miR-208a-5p regulates sepsis-induced myocardial injury remains unclear. To mimic sepsis-induced myocardial injury in vitro, rat primary cardiomyocytes were treated with LPS. Cell viability and apoptosis were tested by CCK-8 and flow cytometry, respectively. The secretion of inflammatory factors was analyzed by ELISA. mRNA and protein levels were detected by RT-qPCR and Western blotting. The interaction among SP1, XIAP and miR-208a-5p was detected using dual luciferase report assay. Ultrasonic analysis and HE staining was performed to observe the effect of miR-208a-5p in sepsis-induced rats. Our findings indicated that miR-208a-5p expression in primary rat cardiomyocytes was increased by LPS. MiR-208a-5p inhibitor reversed LPS-induced cardiomyocytes injury through inhibiting the apoptosis. Furthermore, the inflammatory injury in cardiomyocytes was induced by LPS, which was rescued by miR-208a-5p inhibitor. In addition, downregulation of miR-208a-5p improved LPS-induced sepsis myocardial injury in vivo. Mechanistically, XIAP might be a target gene of miR-208a-5p. SP1 promoted transcription of miR-208a by binding to the miR-208a promoter region. Moreover, silencing of XIAP reversed the regulatory of miR-208a-5p inhibitor on cardiomyocytes injury. To sum up, those findings revealed silencing of miR-208a-5p could alleviate sepsis-induced myocardial injury, which would grant a new process for the treatment of sepsis.

Increased hsa-miR-100-5p Expression Improves Hepatocellular Carcinoma Prognosis in the Asian Population with PLK1 Variant rs27770A>G

Hepatocellular carcinoma (HCC) has the highest incidence and mortality in the Asian population, and race is an independent risk factor affecting survival time in liver cancer. Micro RNAs (miRNAs) are remarkably dysregulated in HCC and closely associated with HCC prognosis. Recent studies show that genetic variability between ethnic groups may result in differences in the specificity of HCC miRNA biomarkers. Here, we reveal a high expression level of hsa-miR-100-5p, an HCC prognosis-related miRNA, which improves HCC prognosis in the Asian Population with Polo-like kinase 1 (PLK1) variant rs27770A>G. In this study, we discovered that hsa-miR-100-5p was downregulated in various HCC cell lines. While mimics transient transfection and mouse liver cancer model confirmed the interaction between hsa-miR-100-5p and PLK1, a stratified analysis based on the Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC) data suggest both low hsa-miR-100-5p expression level and high PLK1 expression level associated with poor HCC prognosis, especially in the Asian population. According to the 1000 Genomes Project database, the SNP rs27770 located in 3'UTR of PLK1 had a significantly higher G allele frequency in the East Asian population. Bioinformatics analysis suggested that rs27770 A>G affects PLK1 mRNA secondary structure and alters the hsa-miR-100-5p/PLK1 interaction by forming an additional seedless binding site. This racial variation caused PLK1 to be more vulnerable to hsa-miR-100-5p inhibition, resulting in hsa-miR-100-5p being more favorable for HCC prognosis in the Asian population.

Comparison of Oncogenes, Tumor Suppressors, and MicroRNAs Between Schizophrenia and Glioma: The Balance of Power

The risk of cancer in schizophrenia has been controversial. Confounders of the issue are cigarette smoking in schizophrenia, and antiproliferative effects of antipsychotic medications. The author has previously suggested comparison of a specific cancer like glioma to schizophrenia might help determine a more accurate relationship between cancer and schizophrenia. To accomplish this goal, the author performed three comparisons of data; the first a comparison of conventional tumor suppressors and oncogenes between schizophrenia and cancer including glioma. This comparison determined schizophrenia has both tumor-suppressive and tumor-promoting characteristics. A second, larger comparison between brain-expressed microRNAs in schizophrenia with their expression in glioma was then performed. This identified a core carcinogenic group of miRNAs in schizophrenia offset by a larger group of tumor-suppressive miRNAs. This proposed "balance of power" between oncogenes and tumor suppressors could cause neuroinflammation. This was assessed by a third comparison between schizophrenia, glioma and inflammation in asbestos-related lung cancer and mesothelioma (ALRCM). This revealed that schizophrenia shares more oncogenic similarity to ALRCM than glioma.

MicroRNA-452: a double-edged sword in multiple human cancers

MicroRNAs (miRNAs) are small, noncoding RNAs with important functions in development, cell differentiation, and regulation of cell cycle and apoptosis. MiRNA expression is deregulated in various pathological processes including tumorigenesis and cancer progression through various mechanisms including amplification or deletion of miRNA genes, mutations, and epigenetic silencing and defects in the miRNA biogenesis machinery. Several studies have now shown abnormal miRNA profiles and proved their involvement in the initiation and progression of cancer. Since miR-452 has diverse roles (as suppressor or oncogene) in different cellular processes including epithelial-mesenchymal transition (EMT), proliferation, migration, and invasion, in this review we highlight a brief overview of the biological function and regulatory mechanism of miR-452 and its involvement as a potential biomarker for diagnosis and treatment of various cancer types.

Overview of MicroRNAs as Diagnostic and Prognostic Biomarkers for High-Incidence Cancers in 2021

MicroRNAs (miRNAs) are small non-coding RNAs (ncRNAs) about 22 nucleotides in size, which play an important role in gene regulation and are involved in almost all major cellular physiological processes. In recent years, the abnormal expression of miRNAs has been shown to be associated with human diseases including cancer. In the past ten years, the link between miRNAs and various cancers has been extensively studied, and the abnormal expression of miRNAs has been reported in various malignant tumors, such as lung cancer, gastric cancer, colorectal cancer, liver cancer, breast cancer, and prostate cancer. Due to the high malignancy grade of these cancers, it is more necessary to develop the related diagnostic and prognostic methods. According to the study of miRNAs, many potential cancer biomarkers have been proposed for the diagnosis and prognosis of diseases, especially cancer, thus providing a new theoretical basis and perspective for cancer screening. The use of miRNAs as biomarkers for diagnosis or prognosis of cancer has the advantages of being less invasive to patients, with better accuracy and lower price. In view of the important clinical significance of miRNAs in human cancer research, this article reviewed the research status of miRNAs in the above-mentioned cancers in 2021, especially in terms of diagnosis and prognosis, and provided some new perspectives and theoretical basis for the diagnosis and treatment of cancers.

Monitoring Clinical-Pathological Grading of Hepatocellular Carcinoma Using MicroRNA-Guided Semiconducting Polymer Dots

MicroRNAs (miRNAs) are a class of small, noncoding RNAs involved in nearly all genetic central dogma processes and human biological behavior, which also play a significant role in the pathological activity of tumors, such as gene transcription, protein translation, and exosome secretion. Therefore, through the navigation of certain specific miRNAs, we can trace the specific physiological processes or image some specific tissues. Designing and accurately positioning microRNA (miRNA)-sensitive fluorescent nanoprobes with benign specificity and recognition in cells or tissues are a challenging research field. To solve the difficulties, we introduce four semiconducting polymer dots (Pdots) as nanoprobes linked by specific miRNA antisense sequences for monitoring the pathological grading by the variation in miRNA expression. Based on the base pairing principle, these miRNA-sensitive Pdots could bind to specific miRNAs within the cancerous cells. As impacted by the background of different pathology gradings, the proportions of the four hepatocellular carcinoma (HCC)-specific miRNAs within the cancerous cell are different, and the pathological grading of the patient tissues can be determined by comparing the palette combinations. The short single-stranded RNA-functionalized Pdots, which have excellent microRNA sensitivity, are observed in an experimental cell model and a series of tissue specimens from HCC patients for the first time. Using the Förster (or fluorescence) resonance energy transfer (FRET) model of Pdots and Cy3dt tag to simulate in vivo miRNA detection, the superior sensitivity and specificity of these nanoprobes are verified. The interference of subjective factors in traditional single/bis-dye emission intensity detection is abandoned, and multiple label staining is used to enhance sensitivity further and reduce the false-positive rate. The feasibility exhibited by this novel staining method is verified in normal hepatocellular HCC cell lines and 16 frozen ultrathin tissue sections, which are employed to quantify pathological grading-related color presentation systems for clinical doctors and pathologists' use. The intelligently designed miRNA-guided Pdots will emerge as an ideal platform with promising biological imaging.

MicroRNA-let-7 Targets HMGA2 to Regulate the Proliferation, Migration, and Invasion of Colon Cancer Cell HCT116

Objective

To investigate the effect of microRNA-let-7 (miR-let-7) on the proliferation, migration, and invasion of colon cancer cell HCT116 in vitro and its regulatory mechanism on downstream HMGA2.

Methods

It was planned to synthesize miR-let-7 overexpression (mimics) and interference expression (inhibitor) and transiently transfect colon cancer cell HCT116, detect the expression levels of miR-let-7 and HMGA2 in the cells after transfection and the targeted regulation effect of miR-let-7 on HMGA2, then detect the effect of upregulation/downregulation of miR-let-7 on HMGA2, and detect the proliferation, migration, and invasion of HCT116 cells.

Results

The expression of miR-let-7 was downregulated, and the expression of HMGA2 was upregulated in HCT116. The expression of miR-let-7 increased significantly after HCT116 was transfected with miR-let-7 mimics. The expression of miR-let-7 decreased significantly after HCT116 was transfected with miR-let-7 inhibitor. The bioinformatics websites predicted that miR-let-7 has a binding site with HMGA2, and the dual-luciferase reporter gene experiment detected that miR-let-7 has a targeting relationship with HMGA2. The expression of HMGA2 decreased after HCT116 was transfected with miR-let-7 mimics; the expression of HMGA2 increased after HCT116 was transfected with miR-let-7 inhibitor. After upregulating miR-let-7, the proliferation, migration, and invasion ability of HCT116 was weakened. After miR-let-7 was inhibited, the proliferation, migration, and invasion ability of HCT116 was enhanced.

Conclusion

Abnormal expression of miR-let-7 is an important factor affecting the proliferation, migration, and invasion of HCT116 cells, and it can promote or inhibit the biological behavior of cancer cells by targeting the expression of HMGA2. This study provides ideas for the drug development of new gene targets.