MicroRNAs (miRNAs) have emerged as important regulators of gene expression in various biological processes, including cancer. miR-182-5p has gained attention for its potential implications in gynecologic cancers, including breast, ovarian, endometrial, and cervical cancers. miR-182-5p dysregulation has been associated with multiple facets of tumor biology in gynecologic cancers, including tumor initiation, progression, metastasis, and therapeutic response. Studies have highlighted its involvement in key signaling pathways and cellular processes that contribute to cancer development and progression. In addition, miR-182-5p has shown potential as a diagnostic and prognostic biomarker, with studies demonstrating its correlation with clinicopathological features and patient outcomes. Furthermore, the therapeutic potential of miR-182-5p is being explored in gynecologic cancers. Strategies such as miRNA mimics or inhibitors targeting miR-182-5p have shown promise in preclinical and early clinical studies. These approaches aim to modulate miR-182-5p expression, restoring normal cellular functions and potentially enhancing treatment responses. Understanding the biologic and clinical implications of miR-182-5p in gynecologic cancers is crucial for the development of targeted therapeutic strategies and personalized medicine approaches. Further investigations are needed to unravel the specific target genes and pathways regulated by miR-182-5p. It is important to consider the emerging biologic and clinical implications of miR-182-5p in gynecologic cancers.

• MeSH
• Humans MeSH
• MicroRNAs * genetics   MeSH
• Biomarkers, Tumor genetics   MeSH
• Genital Neoplasms, Female * genetics   therapy   MeSH
• Prognosis MeSH
• Gene Expression Regulation, Neoplastic MeSH
• Check Tag
• Humans MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Review MeSH

The glycoprotein clusterin (CLU) is involved in cell proliferation and DNA damage repair and is highly expressed in tumor cells. Here, we aimed to investigate the effects of CLU dysregulation on two human astrocytic cell lines: CCF-STTG1 astrocytoma cells and SV-40 immortalized normal human astrocytes. We observed that suppression of CLU expression by RNA interference inhibited cell proliferation, triggered the DNA damage response, and resulted in cellular senescence in both cell types tested. To further investigate the underlying mechanism behind these changes, we measured reactive oxygen species, assessed mitochondrial function, and determined selected markers of the senescence-associated secretory phenotype. Our results suggest that CLU deficiency triggers oxidative stress-mediated cellular senescence associated with pronounced alterations in mitochondrial membrane potential, mitochondrial mass, and expression levels of OXPHOS complex I, II, III and IV, indicating mitochondrial dysfunction. This report shows the important role of CLU in cell cycle maintenance in astrocytes. Based on these data, targeting CLU may serve as a potential therapeutic approach valuable for treating gliomas.

• MeSH
• Astrocytes * metabolism   pathology   MeSH
• Clusterin * metabolism   genetics   MeSH
• Humans MeSH
• Membrane Potential, Mitochondrial * physiology   MeSH
• Mitochondria * metabolism   MeSH
• Cell Line, Tumor MeSH
• Oxidative Stress physiology   MeSH
• Oxidative Phosphorylation MeSH
• DNA Damage MeSH
• Cell Proliferation * MeSH
• Reactive Oxygen Species metabolism   MeSH
• Cellular Senescence * physiology   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH

Cancer immunotherapy is increasingly used in clinical practice, but its success rate is reduced by tumor escape from the immune system. This may be due to the genetic instability of tumor cells, which allows them to adapt to the immune response and leads to intratumoral immune heterogeneity. The study investigated spatial immune heterogeneity in the tumor microenvironment and its possible drivers in a mouse model of tumors induced by human papillomaviruses (HPV) following immunotherapy. Gene expression was determined by RNA sequencing and mutations by whole exome sequencing. A comparison of different tumor areas revealed heterogeneity in immune cell infiltration, gene expression, and mutation composition. While the mean numbers of mutations with every impact on gene expression or protein function were comparable in treated and control tumors, mutations with high or moderate impact were increased after immunotherapy. The genes mutated in treated tumors were significantly enriched in genes associated with ECM metabolism, degradation, and interactions, HPV infection and carcinogenesis, and immune processes such as antigen processing and presentation, Toll-like receptor signaling, and cytokine production. Gene expression analysis of DNA damage and repair factors revealed that immunotherapy upregulated Apobec1 and Apobec3 genes and downregulated genes related to homologous recombination and translesion synthesis. In conclusion, this study describes the intratumoral immune heterogeneity, that could lead to tumor immune escape, and suggests the potential mechanisms involved.

• MeSH
• Immunotherapy * methods   MeSH
• Papillomavirus Infections immunology   virology   MeSH
• Humans MeSH
• Disease Models, Animal * MeSH
• Mutation * MeSH
• Mice, Inbred C57BL MeSH
• Mice MeSH
• Tumor Microenvironment * immunology   MeSH
• Gene Expression Regulation, Neoplastic MeSH
• Exome Sequencing MeSH
• Tumor Escape genetics   MeSH
• Animals MeSH
• Check Tag
• Humans MeSH
• Mice MeSH
• Female MeSH
• Animals MeSH
• Publication type
• Journal Article MeSH

BACKGROUND: Cell cycle progression and leukemia development are tightly regulated processes in which even a small imbalance in the expression of cell cycle regulatory molecules and microRNAs (miRNAs) can lead to an increased risk of cancer/leukemia development. Here, we focus on the study of a ubiquitous, multifunctional, and oncogenic miRNA-hsa-miR-155-5p (miR-155, MIR155HG), which is overexpressed in malignancies including chronic lymphocytic leukemia (CLL). Nonetheless, the precise mechanism of how miR-155 regulates the cell cycle in leukemic cells remains the subject of extensive research. METHODS: We edited the CLL cell line MEC-1 by CRISPR/Cas9 to introduce a short deletion within the MIR155HG gene. To describe changes at the transcriptome and miRNome level in miR-155-deficient cells, we performed mRNA-seq/miRNA-seq and validated changes by qRT-PCR. Flow cytometry was used to measure cell cycle kinetics. A WST-1 assay, hemocytometer, and Annexin V/PI staining assessed cell viability and proliferation. RESULTS: The limited but phenotypically robust miR-155 modification impaired cell proliferation, cell cycle, and cell ploidy. This was accompanied by overexpression of the negative cell cycle regulator p21/CDKN1A and Cyclin D1 (CCND1). We confirmed the overexpression of canonical miR-155 targets such as PU.1, FOS, SHIP-1, TP53INP1 and revealed new potential targets (FCRL5, ISG15, and MX1). CONCLUSIONS: We demonstrate that miR-155 deficiency impairs cell proliferation, cell cycle, transcriptome, and miRNome via deregulation of the MIR155HG/TP53INP1/CDKN1A/CCND1 axis. Our CLL model is valuable for further studies to manipulate miRNA levels to revert highly aggressive leukemic cells to nearly benign or non-leukemic types.

• MeSH
• Leukemia, Lymphocytic, Chronic, B-Cell * genetics   pathology   MeSH
• Cyclin D1 genetics   metabolism   MeSH
• Cyclin-Dependent Kinase Inhibitor p21 * genetics   metabolism   MeSH
• Cell Cycle Checkpoints * genetics   MeSH
• Humans MeSH
• MicroRNAs * genetics   metabolism   MeSH
• Cell Line, Tumor MeSH
• Cell Proliferation genetics   MeSH
• Heat-Shock Proteins MeSH
• Gene Expression Regulation, Leukemic MeSH
• Carrier Proteins genetics   metabolism   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH

Acute kidney injury (AKI) due to gentamicin nephrotoxicity is a significant concern in clinical medicine, particularly in patients receiving prolonged or high-dose gentamicin therapy. Gentamicin is an aminoglycoside antibiotic frequently used in the treatment of a range of bacterial infections. However, its use is associated with nephrotoxicity which can manifest as AKI. Due to this, it is crucial to diagnose promptly and manage treatment effectively. Ongoing studies are therefore focusing on non-protein-coding RNAs as potential biomarkers for AKI. Numerous microRNAs (miRNAs) have been implicated in gentamicin-induced nephrotoxicity and AKI. They participate in pathways associated with inflammation, cell death, and oxidative stress and each of these factors play critical roles in the development of gentamicin-induced kidney injury. Research studies have demonstrated changes in the expression levels of these miRNAs in response to gentamicin exposure both in vitro and in in vivo models, as well as in human clinical trials involving patients receiving gentamicin therapy. The dysregulation of these miRNAs correlates with the severity of kidney injury and may serve as sensitive biomarkers for early detection and monitoring of AKI induced by gentamicin.

• MeSH
• Acute Kidney Injury * chemically induced   diagnosis   MeSH
• Anti-Bacterial Agents * adverse effects   MeSH
• Biomarkers * MeSH
• Gentamicins * adverse effects   MeSH
• Humans MeSH
• MicroRNAs * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Review MeSH

The FGFR3::TACC3 fusion has been reported in subsets of diverse cancers including urothelial and squamous cell carcinomas (SCC). However, the morphology of FGFR3::TACC3-positive head and neck carcinomas has not been well studied and it is unclear if this fusion represents a random event, or if it might characterize a morphologically distinct tumor type. We describe nine FGFR3::TACC3 fusion-positive head and neck carcinomas affecting six males and three females aged 38 to 89 years (median, 59). The tumors originated in the sinonasal tract (n = 4), parotid gland (n = 2), and one case each in the oropharynx, submandibular gland, and larynx. At last follow-up (9-21 months; median, 11), four patients developed local recurrence and/or distant metastases, two died of disease at 11 and 12 months, one died of other cause, one was alive with disease, and two were disease-free. Three of six tumors harbored high risk oncogenic HPV infection (HPV33, HPV18, one unspecified). Histologically, three tumors revealed non-keratinizing transitional cell-like or non-descript morphology with variable mixed inflammatory infiltrate reminiscent of mucoepidermoid or DEK::AFF2 carcinoma (all were HPV-negative), and three were HPV-associated (all sinonasal) with multiphenotypic (1) and non-intestinal adenocarcinoma (2) pattern, respectively. One salivary gland tumor showed poorly cohesive large epithelioid cells with prominent background inflammation and expressed AR and GATA3, in line with a possible salivary duct carcinoma variant. Two tumors were conventional SCC. Targeted RNA sequencing revealed an in-frame FGFR3::TACC3 fusion in all cases. This series highlights heterogeneity of head and neck carcinomas harboring FGFR3::TACC3 fusions, which segregates into three categories: (1) unclassified HPV-negative category, morphologically distinct from SCC and other entities; (2) heterogeneous group of HPV-associated carcinomas; and (3) conventional SCC. A driver role of the FGFR3::TACC3 fusion in the first category (as a potential distinct entity) remains to be further studied. In the light of available FGFR-targeting therapies, delineation of these tumors and enhanced recognition is recommended.

• MeSH
• Squamous Cell Carcinoma of Head and Neck virology   pathology   genetics   MeSH
• Adult MeSH
• Phenotype MeSH
• Oncogene Proteins, Fusion genetics   MeSH
• Papillomavirus Infections * pathology   complications   genetics   virology   MeSH
• Middle Aged MeSH
• Humans MeSH
• Biomarkers, Tumor genetics   MeSH
• Head and Neck Neoplasms * pathology   virology   genetics   MeSH
• Microtubule-Associated Proteins genetics   MeSH
• Receptor, Fibroblast Growth Factor, Type 3 * genetics   MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Carcinoma, Squamous Cell pathology   genetics   virology   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

Alexander disease (AxD) is a rare and severe neurodegenerative disorder caused by mutations in glial fibrillary acidic protein (GFAP). While the exact disease mechanism remains unknown, previous studies suggest that mutant GFAP influences many cellular processes, including cytoskeleton stability, mechanosensing, metabolism, and proteasome function. While most studies have primarily focused on GFAP-expressing astrocytes, GFAP is also expressed by radial glia and neural progenitor cells, prompting questions about the impact of GFAP mutations on central nervous system (CNS) development. In this study, we observed impaired differentiation of astrocytes and neurons in co-cultures of astrocytes and neurons, as well as in neural organoids, both generated from AxD patient-derived induced pluripotent stem (iPS) cells with a GFAPR239C mutation. Leveraging single-cell RNA sequencing (scRNA-seq), we identified distinct cell populations and transcriptomic differences between the mutant GFAP cultures and a corrected isogenic control. These findings were supported by results obtained with immunocytochemistry and proteomics. In co-cultures, the GFAPR239C mutation resulted in an increased abundance of immature cells, while in unguided neural organoids and cortical organoids, we observed altered lineage commitment and reduced abundance of astrocytes. Gene expression analysis revealed increased stress susceptibility, cytoskeletal abnormalities, and altered extracellular matrix and cell-cell communication patterns in the AxD cultures, which also exhibited higher cell death after stress. Overall, our results point to altered cell differentiation in AxD patient-derived iPS-cell models, opening new avenues for AxD research.

• MeSH
• Alexander Disease * genetics   pathology   metabolism   MeSH
• Astrocytes * metabolism   pathology   MeSH
• Cell Differentiation * physiology   MeSH
• Glial Fibrillary Acidic Protein * metabolism   genetics   MeSH
• Induced Pluripotent Stem Cells * metabolism   MeSH
• Coculture Techniques MeSH
• Cells, Cultured MeSH
• Humans MeSH
• Mutation MeSH
• Neural Stem Cells metabolism   MeSH
• Neurons metabolism   pathology   MeSH
• Organoids metabolism   pathology   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH

In advanced prostate cancer (PC), in particular after acquisition of resistance to androgen receptor (AR) signaling inhibitors (ARSI), upregulation of AR splice variants compromises endocrine therapy efficiency. Androgen receptor splice variant-7 (ARV7) is clinically the most relevant and has a distinct 3' untranslated region (3'UTR) compared to the AR full-length variant, suggesting a unique post-transcriptional regulation. Here, we set out to evaluate the applicability of the ARV7 3'UTR as a therapy target. A common single nucleotide polymorphism, rs5918762, was found to affect the splicing rate and thus the expression of ARV7 in cellular models and patient specimens. Serine/arginine-rich splicing factor 9 (SRSF9) was found to bind to and increase the inclusion of the cryptic exon 3 of ARV7 during the splicing process in the alternative C allele of rs5918762. The dual specificity protein kinase CLK2 interferes with the activity of SRSF9 by regulating its expression. Inhibition of the Cdc2-like kinase (CLK) family by the small molecules cirtuvivint or lorecivivint results in the decreased expression of ARV7. Both inhibitors show potent anti-proliferative effects in enzalutamide-treated or -naive PC models. Thus, targeting aberrant alternative splicing at the 3'UTR of ARV7 by disturbing the CLK2/SRSF9 axis might be a valuable therapeutic approach in late stage, ARSI-resistant PC.

• MeSH
• 3' Untranslated Regions genetics   MeSH
• Alternative Splicing genetics   drug effects   MeSH
• Receptors, Androgen * metabolism   genetics   MeSH
• Polymorphism, Single Nucleotide genetics   MeSH
• Humans MeSH
• Cell Line, Tumor MeSH
• Prostatic Neoplasms * genetics   metabolism   pathology   drug therapy   MeSH
• Protein Isoforms genetics   metabolism   MeSH
• Protein Serine-Threonine Kinases genetics   metabolism   antagonists & inhibitors   MeSH
• Gene Expression Regulation, Neoplastic * drug effects   MeSH
• Serine-Arginine Splicing Factors * metabolism   genetics   MeSH
• RNA Splicing genetics   MeSH
• Protein-Tyrosine Kinases * genetics   metabolism   MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Publication type
• Journal Article MeSH

Clear-cell renal cell carcinoma (ccRCC) is a common urological malignancy with an increasing incidence. The development of molecular biomarkers that can predict the response to treatment and guide personalized therapy selection would substantially improve patient outcomes. Dysregulation of non-coding RNA (ncRNA) has been shown to have a role in the pathogenesis of ccRCC. Thus, an increasing number of studies are being carried out with a focus on the identification of ncRNA biomarkers in ccRCC tissue samples and the connection of these markers with patients' prognosis, pathological stage and grade (including metastatic potential), and therapy outcome. RNA sequencing analysis led to the identification of several ncRNA biomarkers that are dysregulated in ccRCC and might have a role in ccRCC development. These ncRNAs have the potential to be prognostic and predictive biomarkers for ccRCC, with prospective applications in personalized treatment selection. Research on ncRNA biomarkers in ccRCC is advancing, but clinical implementation remains preliminary owing to challenges in validation, standardization and reproducibility. Comprehensive studies and integration of ncRNAs into clinical trials are essential to accelerate the clinical use of these biomarkers.

• MeSH
• Carcinoma, Renal Cell * genetics   diagnosis   MeSH
• Humans MeSH
• Biomarkers, Tumor * genetics   MeSH
• Kidney Neoplasms * genetics   diagnosis   MeSH
• RNA, Untranslated * genetics   MeSH
• Prognosis MeSH
• Gene Expression Regulation, Neoplastic MeSH
• Gene Expression Profiling MeSH
• Transcriptome * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Review MeSH

INTRODUCTION: Breast cancer comprises the leading cause of cancer-related death in women. MicroRNAs (miRNAs) have emerged as important factors with concern to carcinogenesis and have potential for use as biomarkers. METHODS: This study provides a comprehensive evaluation of the microRNA expression in invasive breast carcinoma of no special type tissues compared with benign tissues via large-scale screening and the candidate-specific validation of 15 miRNAs and U6 snRNA applying qPCR and the examination of clinicopathological data. RESULTS: Of the six downregulated miRNAs, let-7c was identified as the most promising miRNA biomarker and its lower expression was linked with Ki-67 positivity, luminal B versus luminal A samples, multifocality, lymph node metastasis, and inferior PFS. Of the 9 upregulated sncRNAs, the data on U6 snRNA, miR-493 and miR-454 highlighted their potential oncogenic functions. An elevated U6 snRNA expression was associated with the tumor grade, Ki-67 positivity, luminal B versus A samples, lymph node metastasis, and worsened PFS (and OS) outcomes. An elevated miR-454 expression was detected in higher grades, Ki-67 positive and luminal B versus A samples. Higher miR-493 levels were noted for the tumor stage (and grade) and worse patient outcomes (PFS, OS). The data also suggested that miR-451a and miR-328 may have tumor suppressor roles, and miR-182 and miR-200c pro-oncogenic functions, while the remaining sncRNAs did not evince any significant associations. CONCLUSION: We showed particular microRNAs and U6 snRNA as differentially expressed between tumors and benign tissues and associated with clinicopathological parameters, thus potentially corresponding with important roles in breast carcinogenesis. Their importance should be further investigated and evaluated in follow-up studies to reveal their potential in clinical practice. INTRODUCTION: Breast cancer comprises the leading cause of cancer-related death in women. MicroRNAs (miRNAs) have emerged as important factors with concern to carcinogenesis and have potential for use as biomarkers. METHODS: This study provides a comprehensive evaluation of the microRNA expression in invasive breast carcinoma of no special type tissues compared with benign tissues via large-scale screening and the candidate-specific validation of 15 miRNAs and U6 snRNA applying qPCR and the examination of clinicopathological data. RESULTS: Of the six downregulated miRNAs, let-7c was identified as the most promising miRNA biomarker and its lower expression was linked with Ki-67 positivity, luminal B versus luminal A samples, multifocality, lymph node metastasis, and inferior PFS. Of the 9 upregulated sncRNAs, the data on U6 snRNA, miR-493 and miR-454 highlighted their potential oncogenic functions. An elevated U6 snRNA expression was associated with the tumor grade, Ki-67 positivity, luminal B versus A samples, lymph node metastasis, and worsened PFS (and OS) outcomes. An elevated miR-454 expression was detected in higher grades, Ki-67 positive and luminal B versus A samples. Higher miR-493 levels were noted for the tumor stage (and grade) and worse patient outcomes (PFS, OS). The data also suggested that miR-451a and miR-328 may have tumor suppressor roles, and miR-182 and miR-200c pro-oncogenic functions, while the remaining sncRNAs did not evince any significant associations. CONCLUSION: We showed particular microRNAs and U6 snRNA as differentially expressed between tumors and benign tissues and associated with clinicopathological parameters, thus potentially corresponding with important roles in breast carcinogenesis. Their importance should be further investigated and evaluated in follow-up studies to reveal their potential in clinical practice.

• MeSH
• Adult MeSH
• Neoplasm Invasiveness MeSH
• Middle Aged MeSH
• Humans MeSH
• Lymphatic Metastasis MeSH
• MicroRNAs * genetics   metabolism   MeSH
• Biomarkers, Tumor * genetics   metabolism   MeSH
• Breast Neoplasms * pathology   genetics   metabolism   mortality   MeSH
• Gene Expression Regulation, Neoplastic * MeSH
• RNA, Small Nuclear * genetics   metabolism   MeSH
• Aged MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH