Laryngeal squamous cell cancer (LSCC) accounts for almost 25–30% of all head and neck squamous cell cancers and is clustered according to the affected districts, as this determines distinct tendency to recur and metastasize. A major role for numerous genetic alterations in driving the onset and progression of this neoplasm is emerging. However, major efforts are still required for the identification of molecular markers useful for both early diagnosis and prognostic definition of LSCC that is still characterized by significant morbidity and mortality. Non-coding RNAs appear the most promising as they circulate in all the biological fluids allowing liquid biopsy determination, as well as due to their quick and characteristic modulation useful for non-invasive detection and monitoring of cancer. Other critical aspects are related to recent progress in circulating tumor cells and DNA detection, in metastatic status and chemo-refractoriness prediction, and in the functional interaction of LSCC with chronic inflammation and innate immunity. We review all these aspects taking into account the progress of the technologies in the field of next generation sequencing.

MicroRNA (miRNA) are constituted of approximately 22 nucleotides and play an important role in the regulation of many physiological functions and diseases. In the last 10 years, an increasing interest has been recorded in studying the expression profile of miRNAs in cancer. Real time-quantitative polymerase chain reaction (RT-qPCR), microarrays, and small RNA sequencing represent the gold standard techniques used in the last 30 years as detection methods. The advent of nanotechnology has allowed the fabrication of nanostructured biosensors which are widely exploited in the diagnostic field. Nanostructured biosensors offer many advantages: (i) their small size allows the construction of portable, wearable, and low-cost products; (ii) the large surface–volume ratio enables the loading of a great number of biorecognition elements (e.g., probes, receptors); and (iii) direct contact of the recognition element with the analyte increases the sensitivity and specificity inducing low limits of detection (LOD). In this review, the role of nanostructured biosensors in miRNA detection is explored, focusing on electrochemical and optical sensing. In particular, four types of nanomaterials (metallic nanoparticles, graphene oxide, quantum dots, and nanostructured polymers) are reported for both detection strategies with the aim to show their distinct properties and applications.

Hepatocellular carcinoma (HCC) is a predominant malignancy with increasing incidences and mortalities worldwide. In Western countries, the progressive affirmation of Non-alcoholic Fatty Liver Disease (NAFLD) as the main chronic liver disorder in which HCC occurrence is appreciable even in non-cirrhotic stages, constitutes a real health emergency. In light of this, a further comprehension of molecular pathways supporting HCC onset and progression represents a current research challenge to achieve more tailored prognostic models and appropriate therapeutic approaches. RNA non-coding transcripts (ncRNAs) are involved in the regulation of several cancer-related processes, including HCC. When dysregulated, these molecules, conventionally classified as “small ncRNAs” (sncRNAs) and “long ncRNAs” (lncRNAs) have been reported to markedly influence HCC-related progression mechanisms. In this review, we describe the main dysregulated ncRNAs and the relative molecular pathways involved in HCC progression, analyzing their implications in certain etiologically related contexts, and their applicability in clinical practice as novel diagnostic, prognostic, and therapeutic tools. Finally, given the growing evidence supporting the immune system response, the oxidative stress-regulated mechanisms, and the gut microbiota composition as relevant emerging elements mutually influencing liver-cancerogenesis processes, we investigate the relationship of ncRNAs with this triad, shedding light on novel pathogenetic frontiers of HCC progression.

Pancreatic ductal adenocarcinoma (PDAC), a neoplasm of the gastrointestinal tract, is the most common pancreatic malignancy (90%) and the fourth highest cause of cancer mortality worldwide. Surgery intervention is currently the only strategy able to offer an advantage in terms of overall survival, but prognosis remains poor even for operated patients. Therefore, the development of robust biomarkers for early diagnosis and prognostic stratification in clinical practice is urgently needed. In this work, we investigated deregulated microRNAs (miRNAs) in tissues from PDAC patients with high (G3) or low (G2) histological grade and with (N+) or without (N−) lymph node metastases. miRNA expression profiling was performed by a comprehensive PCR array and subsequent validation by RT-qPCR. The results showed a significant increase in miR-1-3p, miR-31-5p, and miR-205-5p expression in G3 compared to G2 patients (** p < 0.01; *** p < 0.001; *** p < 0.001). miR-518d-3p upregulation and miR-215-5p downregulation were observed in N+ compared to N− patients. A statistical analysis performed using OncomiR program showed the significant involvement (p < 0.05) of two miRNAs (miR-31 and miR-205) in the histological grade of PDAC patients. Also, an expression analysis in PDAC patients showed that miR-31 and miR-205 had the highest expression at grade 3 compared with normal and other tumor grades. Overall, survival plots confirmed that the overexpression of miR-31 and miR-205 was significantly correlated with decreased survival in TCGA PDAC clinical samples. A KEGG pathway analysis showed that all three miRNAs are involved in the regulation of multiple pathways, including the Hippo signaling, adherens junction and microRNAs in cancer, along with several target genes. Based on in silico analysis and experimental validation, our study suggests the potential role of miR-1-3p, miR-31-5p, and miR-205-5p as useful clinical biomarkers and putative therapeutic targets in PDAC, which should be further investigated to determine the specific molecular processes affected by their aberrant expression.

Background/Objectives: Over the past two decades, non-coding RNAs (ncRNAs) have emerged as key regulators of gene expression, reshaping the classical view of the genome as predominantly protein-coding. Among them, microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) play central roles in controlling gene expression at multiple levels. Rather than acting independently, these molecules form complex and interconnected regulatory networks, and their interplay appears particularly relevant in cancer. This review aims to examine the mechanisms underlying miRNA-lncRNA cross-regulation and to explore their functional and clinical implications in tumor biology. Methods: We performed a comprehensive analysis of the current literature focusing on studies investigating miRNA-lncRNA interactions in cancer. Particular attention was given to mechanistic insights, including the competing endogenous RNA (ceRNA) hypothesis, as well as alternative regulatory models involving direct RNA interactions and chromatin-associated processes. Results: miRNA-lncRNA interactions have been associated with cancer progression and therapeutic response across different tumor types, although their mechanisms are highly context-dependent. While the ceRNA hypothesis, based on competition for shared microRNA response elements (MREs), provides a useful framework, it does not fully explain all observed phenomena. Evidence shows that miRNAs can directly regulate lncRNA stability, whereas lncRNAs can influence miRNA biogenesis. Additionally, chromatin-related mechanisms suggest that these interactions extend beyond post-transcriptional regulation. These RNA networks intersect with major oncogenic pathways, including PI3K/AKT/mTOR signaling, hypoxia responses, and epigenetic regulators such as EZH2, thereby affecting key cancer processes such as proliferation, epithelial–mesenchymal transition (EMT), and metabolic reprogramming. From a clinical perspective, the stability of ncRNAs in biological fluids highlights their potential as biomarkers. Combined miRNA-lncRNA signatures may improve diagnostic and prognostic accuracy compared to single markers, although further validation is required. Therapeutic strategies targeting ncRNA networks, such as miRNA mimics, antagomiRs, and lncRNA-directed approaches, are under investigation; however, challenges related to delivery, specificity, and toxicity remain. Conclusions: miRNA-lncRNA cross-regulation represents a complex and multifaceted layer of gene regulation in cancer. A deeper understanding of these interactions could support the development of more accurate diagnostic tools and more effective RNA-based therapeutic strategies, although significant technical and biological challenges still need to be addressed.