Exosomes, a type of extracellular vesicle, are commonly found in different body fluids and are rich in nucleic acids (circRNA, lncRNAs, miRNAs, mRNAs, tRNAs, etc.), proteins, and lipids. They are involved in intercellular communication. lncRNAs are responsible for the modulation of gene expression, thus affecting the pathological process of kidney injury. This review summarizes the latest knowledge on the roles of exosome lncRNAs and circulating lncRNAs in the pathogenesis, biomarker discovery, and treatment of chronic kidney disease, renal fibrosis, and acute kidney injury, providing an overview of novel regulatory approaches and lncRNA delivery systems.

Tuberculosis (TB) persists as a significant health threat, affecting millions of people all over the world. Despite years of control measures, the elimination of TB has become a difficult task as morbidity and mortality rates remain unaffected for several years. Developing new diagnostics and therapeutics is paramount to keeping TB under control. However, it largely depends upon understanding the pathogenic mechanisms of Mycobacterium tuberculosis (Mtb), the causative agent of TB. Mtb is an intracellular pathogen capable of subverting the defensive functions of the immune cells, and it can survive and multiply within humans' mononuclear phagocytes. Emerging evidence indicates that long non-coding RNAs (lncRNAs), a class of RNA molecules with limited coding potential, are critical players in this intricate game as they regulate gene expression at transcriptional and post-transcriptional levels and also by chromatin modification. Moreover, they have been shown to regulate cellular processes by controlling the function of other molecules, such as DNA, RNA, and protein, through binding with them. Recent studies have shown that lncRNAs are differentially regulated in the tissues of TB patients and cells infected in vitro with Mtb. Some dysregulated lncRNAs are associated with essential roles in modulating immune response, apoptosis, and autophagy in the host cells, adding a new dimension to TB pathogenesis. In this article, we provide a comprehensive review of the recent literature in this field and the impact of lncRNAs in unraveling pathogenic mechanisms in TB. We also discuss how the studies involving lncRNAs provide insight into TB pathogenesis, especially Mtb-host interactions.

Long noncoding RNAs (lncRNAs) are important regulators of gene expression. Although evidence accumulated over the past decade shows that lncRNAs have key roles in the interaction between viruses and hosts, the functions of the majority of differentially expressed lncRNAs in response to viral infections remain uncharacterized so far. In this study, we have identified that USP30 antisense RNA 1 (USP30-AS1), a host antisense lncRNA, is hijacked by influenza A virus (IAV) to assist its replication. We show that USP30-AS1 is IAV-induced via the Janus protein tyrosine kinase-signal transducer and the activator of transcription (JAK-STAT) signaling pathway. Functionally, ectopic expression of USP30-AS1 significantly promotes IAV replication. Conversely, silencing USP30-AS1 suppresses IAV replication. Mechanistically, USP30-AS1 directly binds prohibitin 1 (PHB1) and modulates its protein stability and function. On the one hand, the binding of USP30-AS1 sequesters PHB1 away from the E3 ubiquitin ligase, tripartite motif containing 21 (TRIM21), thereby protecting the protein stability of PHB1. On the other hand, USP30-AS1 serves as a molecular scaffold for enhancing the interaction between PHB1 and interferon regulatory factor 3 (IRF3), which in turn impedes the nuclear import of IRF3. Therefore, our data unveil an important role of USP30-AS1 in promoting viral replication by modulating PHB1 stability and functions, providing a new insight into the role of lncRNAs in the interplay between IAV and host.

Long noncoding RNAs (lncRNAs) are transcripts exceeding 200 nucleotides that do not encode proteins. Despite lacking protein-coding capabilities, lncRNAs play crucial roles in cellular processes, including gene-expression modulation and structural maintenance. The study of lncRNAs has evolved significantly since 2009, with advancements in analytical methodologies providing new insights into their functions and dynamics. Key developments include BRIC-Seq, SLAM-Seq, TUC-Seq, TimeLapse-seq, and Dyrec-Seq. These methodologies have enabled researchers to investigate lncRNA behavior under various conditions, including cellular stress responses and complex biologic systems. Future challenges include developing comprehensive techniques for identifying lncRNA-interacting proteins and advancing in vivo methodologies using model organisms. As the field progresses, integrating these technologies will enhance our understanding of lncRNA biology, potentially leading to novel therapeutic strategies and deeper insights into gene-regulation mechanisms.

Long non‑coding RNAs (lncRNAs) are key players in the regulation of gene expression by mediating epigenetic and epitranscriptomic modification. Dysregulation of lncRNAs is implicated in tumor initiation, progression and metastasis. lncRNAs modulate chromatin structure and gene transcription by recruiting epigenetic regulators, including DNA‑ or histone‑modifying enzymes. Additionally, lncRNAs mediate chromatin remodeling and enhancer‑promoter long‑range chromatin interactions to control oncogene expression by recruiting chromatin organization‑associated proteins, thereby promoting carcinogenesis. Furthermore, lncRNAs aberrantly induce oncogene expression by mediating epitranscriptomic modifications, including RNA methylation and RNA editing. The present study aimed to summarize the regulatory mechanisms of lncRNAs in cancer to unravel the complex interplay between lncRNAs and epigenetic/epitranscriptomic regulators in carcinogenesis. The present review aimed to provide a novel perspective on the epigenetic and epitranscriptomic roles of lncRNAs in carcinogenesis to facilitate identification of potential biomarkers and therapeutic targets for cancer diagnosis and treatment.

Tamoxifen is one of the most frequently used endocrine medications for the treatment of estrogen receptor-positive (ER + ) breast cancer (BC). Unfortunately, tamoxifen resistance (TR) brings more challenges to the clinical treatment, and the mechanisms of TR have not yet been fully clarified. HGF/c-Met is closely associated with cancer metastasis, but whether it is involved in TR remains unclear. In our study, we found that the activation of HGF/c-Met was crucial for TR maintenance. Synergistic interaction with HOTAIR and EZH2 accelerated HGF expression by repressing miR-141/200a. Additionally, HGF/c-Met activated NF-κB, forming a positive feedback loop of EZH2/HOTAIR-miR-141/200a-HGF/c-Met-NF-κB. Our findings indicated that HGF/c-Met functioned as an important biomarker for TR, and HGF/c-Met inhibition provided a novel approach to TR treatment.

Liver cancer or hepatocellular carcinoma (HCC) remains the most common cancer in global epidemiology. Both the frequency and fatality of this malignancy have shown an upward trend over recent decades. Liver cancer is a significant concern due to its propensity for both intrahepatic and extrahepatic metastasis. Liver cancer metastasis is a multifaceted process characterized by cell detachment from the bulk tumor, modulation of cellular motility and invasiveness, enhanced proliferation, avoidance of the immune system, and spread either via lymphatic or blood vessels. MicroRNAs (miRNAs) are small non-coding ribonucleic acids (RNAs) playing a crucial function in the intricate mechanisms of tumor metastasis. A number of miRNAs can either increase or reduce metastasis via several mechanisms, such as control of motility, proliferation, attack by the immune system, cancer stem cell properties, altering the microenvironment, and the epithelial-mesenchymal transition (EMT). Besides, two other types of non-coding RNAs, such as long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) can competitively bind to endogenous miRNAs. This competition results in the impaired ability of the miRNAs to inhibit the expression of the specific messenger RNAs (mRNAs) that are targeted. Increasing evidence has shown that the regulatory axis comprising circRNA/lncRNA-miRNA-mRNA is correlated with the regulation of HCC metastasis. This review seeks to present a thorough summary of recent research on miRNAs in HCC, and their roles in the cellular processes of EMT, invasion and migration, as well as the metastasis of malignant cells. Finally, we discuss the function of the lncRNA/circRNA-miRNA-mRNA network as a crucial modulator of carcinogenesis and the regulation of signaling pathways or genes that are relevant to the metastasis of HCC. These findings have the potential to offer valuable insight into the discovery of novel therapeutic approaches for management of liver cancer metastasis.

Long non-coding RNA (lncRNA) participates in various biological processes, however, neither the expression profile nor the biological role of lncRNAs in mammalian ovaries has been fully studied. In this work, the lncRNA transcriptomic analysis of postnatal mice ovaries was performed by using bulk RNA sequencing in C57BL/6 mice. A total of 5302 lncRNAs were found in mouse ovaries, and 1836 lncRNAs were differentially expressed during the development and ageing process, of which targets were enriched in the developmental process, reproduction, etc. Developmental stage specific lncRNAs showed functions in system development, inflammatory response, myeloid leukocyte activation, etc. Moreover, a co-expression network analysis based on reproduction-related genes reveals lncRNAs that may regulate multiple mRNA targets in ovaries, including Neat1, Gm11613 and Gm43915. Two cis-acting lncRNAs, Ptgs2os and Gm14705, showed correlated expression pattern with their potential targets Ptgs2 and Aff2 respectively, and these lncRNA-mRNA pairs were conserved in mice and humans. WGCNA further identified 10 co-expressed modules with distinct expression patterns associated with ovarian development and ageing. Taken together, our results reveal a transcriptomic profile of mouse ovaries over the reproductive lifespan, providing insights into the molecular mechanisms of ovarian development and ageing.

Tumorigenic drivers of MYCN gene nonamplified neuroblastoma remain largely uncharacterized. Long noncoding RNAs (lncRNAs) regulate tumorigenesis, however, there is little literature on therapeutic targeting of lncRNAs with small molecule compounds. Here PRKCQ-AS1 is identified as the lncRNA most overexpressed in MYCN nonamplified, compared with MYCN-amplified, neuroblastoma cell lines. PRKCQ-AS1 expression is controlled by super-enhancers, and PRKCQ-AS1 RNA bound to MSI2 protein. RNA immunoprecipitation and sequencing identified BMX mRNA as the transcript most significantly disrupted from binding to MSI2 protein, after PRKCQ-AS1 knockdown. PRKCQ-AS1 or MSI2 knockdown reduces, while its overexpression enhances, BMX mRNA stability and expression, ERK protein phosphorylation and MYCN nonamplified neuroblastoma cell proliferation. PRKCQ-AS1 knockdown significantly suppresses neuroblastoma progression in mice. In human neuroblastoma tissues, high levels of PRKCQ-AS1 and MSI2 expression correlate with poor patient outcomes, independent of current prognostic markers. AlphaScreen of a compound library identifies NSC617570 as an efficient inhibitor of PRKCQ-AS1 RNA and MSI2 protein interaction, and NSC617570 reduces BMX expression, ERK protein phosphorylation, neuroblastoma cell proliferation in vitro and tumor progression in mice. The study demonstrates that PRKCQ-AS1 RNA interacts with MSI2 protein to induce neuroblastoma tumorigenesis, and that targeting PRKCQ-AS1 and MSI2 interaction with small molecule compounds is an effective anticancer strategy.

Systemic sclerosis (SSc) is an autoimmune disease of unknown aetiology characterised by vasculopathy with progressive fibrosis of the skin and internal organs. Tissue fibrosis is driven by activated fibroblasts (myofibroblasts) with exacerbated contractile and secretory properties. We previously reported that the long non-coding RNA HOTAIR is a key driver of SSc fibroblast activation. HOTAIR interacts with the chromatin modifiers, the polycomb repressor complex (PRC2) and coREST complex, promoting expression of pro-fibrotic genes. In this study, we show that acute activation of dermal fibroblasts from healthy subjects or SSc patients with transforming growth factor-β and other fibrotic stimuli requires the activity of the lysine-specific demethylase 1 (LSD1) subunit of the co-REST complex. Unexpectedly, LSD1 catalytic activity plays a minor role in fibrotic gene expression in HOTAIR-overexpressing fibroblasts and in maintenance of the stable myofibroblast phenotype of SSc fibroblasts. However, silencing of LSD1 in SSc fibroblasts has a profound effect on pro-fibrotic gene expression, supporting a non-canonical scaffolding function. Our study shows for the first time an essential non-canonical role for LSD1 in pro-fibrotic gene expression in SSc; however, given that this function is insensitive to LSD1 inhibitors, the therapeutic opportunities will depend on future identification of a targetable mediator.

Breast cancer (BC) is the most prevalent malignancy among women, characterized by extensive heterogeneity stemming from molecular and genetic alterations. This review explores the intricate epigenetic landscape of BC, highlighting the significant role of epigenetic modifications-particularly DNA methylation, histone modifications, and the influence of non-coding RNAs-in the initiation, progression, and prognosis of the disease. Epigenetic alterations drive crucial processes, including gene expression regulation, cell differentiation, and tumor microenvironment interactions, contributing to tumorigenesis and metastatic potential. Notably, aberrations in DNA methylation patterns, including global hypomethylation and hypermethylation of CpG islands, have been associated with distinct BC subtypes, with implications for early detection and risk assessment. Furthermore, histone modifications, such as acetylation and methylation, affect cancer cell plasticity and aggressiveness by profoundly influencing chromatin dynamics and gene transcription. Finally, non-coding RNAs contribute by modulating epigenetic machinery and gene expression. Despite advances in our knowledge, clinical application of epigenetic therapies in BC is still challenging, often yielding limited efficacy when used alone. However, combining epi-drugs with established treatments shows promise for enhancing therapeutic outcomes. This review underscores the importance of integrating epigenetic insights into personalized BC treatment strategies, emphasizing the potential of epigenetic biomarkers for improving diagnosis, prognosis, and therapeutic response in affected patients.

The EZH2 gene encodes an enzyme that is part of the epigenetic factor Polycomb Repressive Complex 2 (PRC2). In order to control gene expression, PRC2 mainly modifies chromatin structure. In this complex process, EZH2 methylates histone proteins, which in turn suppresses further RNA transcriptions. As a result, EZH2 dysregulations can occasionally induce abnormal gene expression patterns, which can aid in the development and progression of cancer. Non-coding RNAs significantly impact the expression of EZH2 through epigenetic mechanisms. Meanwhile, normal and cancerous cells frequently release vesicles into the extracellular matrix, also known as exosomes, that occasionally carry RNA molecules from their origin cells, including messenger RNAs, microRNAs, and other non-coding RNAs. Thus exosomes are granted the ability to regulate numerous physiological functions and act as crucial messengers between cells by influencing gene expression in the recipient cell. We conducted this review to focus on EZH2's substantial biological role and the mechanisms that regulate it, driven by the desire to understand the possible impact of exosomal RNAs on EZH2 expression.

Liver cancer ranks as the sixth most prevalent form of cancer and stands as the fourth leading cause of cancer-related fatalities on a global scale. The two primary types of liver cancer are hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC). While ICC originates from the bile ducts, HCC develops from hepatocytes, which are the primary functional cells of the liver. In cases where liver cancer is detected in its early stages, it can be effectively treated through locoregional interventions such as surgical resection, Radiofrequency Ablation, Transarterial chemoembolization, or liver transplantation. However, HCC is typically diagnosed at advanced stages, rendering these treatment options ineffective due to the unresectable nature of the tumor. LncRNAs, a novel class of RNA molecules and epigenetic regulators, have emerged as key players in the development and advancement of different types of tumors. They exert their influence by regulating the expression of downstream genes in cancer-related signaling pathways, thereby promoting the proliferation, migration, and invasion of tumor cells. Additionally, these transcripts have the ability to modify the activity and expression of tumor suppressors and oncogenes, further contributing to tumorigenesis. Recently, growing numbers of experiments have demonstrated the elevated expression of HOX antisense intergenic RNA (HOTAIR), a spliced and poly-adenylated lncRNA, in liver cancers and its association with cancer patient's prognosis and overall survival, as well as tumor cells' growth, metastasis, and resistance to therapies. This updated review will summarize molecular pathways by which lncRNA HOTAIR promotes liver cancer development, and highlight its diagnostic and therapeutic potential, though.

More research has been done on the correlation between exercise and cancer, which has revealed several ways that physical activity decreases the risk of developing the disease. The developing function of lncRNAs as an important molecular link between exercise and cancer suppression is the main topic of this review. According to recent research, regular physical exercise also alters the expression levels of several lncRNAs, which are generally elevated in cancer. A complex network of interactions that may provide protective effects against carcinogenesis is suggested by the contribution of these lncRNAs in various cellular processes, such as epigenetic alterations, proliferation, and apoptosis regulation. We offer a comprehensive summary of the existing information regarding specific lncRNAs that are influenced by physical activity and could potentially impact cancer-related processes. We also go over the difficulties in interpreting these alterations, taking into account the fact that several lncRNAs have a dual function in promoting and preventing cancer in various physiological settings. To understand the complex impacts of exercise-induced lncRNA regulation in cancer biology, more study is required. The critique strongly highlights the possibility of lncRNAs serving as both indicators and treatment prospects for cancer-preventive strategies.

Fibrosis is the common end point for all forms of chronic liver injury, and the progression of fibrosis leads to the development of end-stage liver disease. Activation of HSCs and their transdifferentiation into myofibroblasts results in the accumulation of extracellular matrix proteins that form the fibrotic scar. Long noncoding RNAs regulate the activity of HSCs and provide targets for fibrotic therapies.

We identified long noncoding RNA TILAM located near COL1A1 , expressed in HSCs, and induced with liver fibrosis in humans and mice. Loss-of-function studies in human HSCs and human liver organoids revealed that TILAM regulates the expression of COL1A1 and other extracellular matrix genes. To determine the role of TILAM in vivo, we annotated the mouse ortholog ( Tilam ), generated Tilam- deficient green fluorescent protein-reporter mice, and challenged these mice in 2 different models of liver fibrosis. Single-cell data and analysis of single-data and analysis of Tilam-deficient reporter mice revealed that Tilam is induced in murine HSCs with the development of fibrosis in vivo. Tilam -deficient reporter mice revealed that Tilam is induced in murine HSCs with the development of fibrosis in vivo. Furthermore, loss of Tilam expression attenuated the development of fibrosis in the setting of in vivo liver injury. Finally, we found that TILAM interacts with promyelocytic leukemia nuclear body scaffold protein to regulate a feedback loop by which TGF-β2 reinforces TILAM expression and nuclear localization of promyelocytic leukemia nuclear body scaffold protein to promote the fibrotic activity of HSCs.

TILAM is activated in HSCs with liver injury and interacts with promyelocytic leukemia nuclear body scaffold protein to drive the development of fibrosis. Depletion of TILAM may serve as a therapeutic approach to combat the development of end-stage liver disease.

At the turn of the century a fundamental resolution barrier in fluorescence microscopy known as the diffraction limit was broken, giving rise to the field of super-resolution microscopy. Subsequent nanoscopic investigation with visible light revolutionised our understanding of how previously unknown molecular features give rise to the emergent behaviour of cells. It transpires that the devil is in these fine molecular details, and essential nanoscale processes were found everywhere researchers chose to look. Now, after nearly two decades, super-resolution microscopy has begun to address previously unmet challenges in the study of human disease and is poised to become a pivotal tool in drug discovery.

The tumor microenvironment (TME) has been linked with the pathogenesis of pancreatic ductal adenocarcinoma (PDAC), the most common histological subtype of pancreatic cancer. A central component of the TME are cancer-associated fibroblasts (CAFs), which can either suppress or promote tumor growth in a context-dependent manner. In this review, we will discuss the multi-faceted roles of CAFs in tumor-stroma interactions influencing cancer initiation, progression and therapeutic response.

Previous studies have identified the long non-coding RNA (lncRNA) Uc001kfo as significantly upregulated in hepatocellular carcinoma (HCC) tissues, particularly in advanced stages, compared to adjacent non-cancerous tissues. This study aims to further explore the molecular mechanisms by which Uc001kfo promotes HCC metastasis, focusing on its regulation of α-SMA expression.

The study investigate the effects of Uc001kfo on proliferation, migration, and invasion in HCC cells using in vitro assays. Additionally, we also explored the molecular mechanism by which Uc001kfo indirectly regulates α-SMA gene transcription through its targeting of Sp1. Finally, we conducted preliminary validation in mice model to assess the potential for Uc001kfo-targeted silencing to inhibit HCC cell invasion and metastasis.

The results of the study demonstrate that the Uc001kfo/Sp1/α-SMA pathway plays a role in regulating HCC metastasis. Uc001kfo inhibits the degradation of Sp1 protein, thereby promoting Sp1 binding to the α-SMA promoter and enhancing its transcription. Consequently, silencing Uc001kfo can indirectly suppress α-SMA expression, effectively inhibiting HCC cell proliferation, invasion, and migration in vitro, as well as liver metastasis in mice through the spleen.

Uc001kfo plays a critical role in promoting HCC metastasis, making it a potential a promising therapeutic target for inhibiting tumor progression and metastasis in HCC.

Long non-coding RNA (LncRNA) play pivotal roles in various cellular processes, and elucidating their subcellular localization can offer crucial insights into their functional significance. Accurate prediction of lncRNA subcellular localization is of paramount importance. Despite numerous computational methods developed for this purpose, existing approaches still encounter challenges stemming from the complexity of data representation and the difficulty in capturing nucleotide distribution information within sequences.

In this study, we propose a novel deep learning-based model, termed MGBLncLoc, which incorporates a unique multi-class encoding technique known as generalized encoding based on the Distribution Density of Multi-Class Nucleotide Groups (MCD-ND). This encoding approach enables more precise reflection of nucleotide distributions, distinguishing between constant and discriminative regions within sequences, thereby enhancing prediction performance. Additionally, our deep learning model integrates advanced neural network modules, including Multi-Dconv Head Transposed Attention, Gated-Dconv Feed-forward Network, Convolutional Neural Network, and Bidirectional Gated Recurrent Unit, to comprehensively exploit sequence features of lncRNA.

Comparative analysis against commonly used sequence feature encoding methods and existing prediction models validates the effectiveness of MGBLncLoc, demonstrating superior performance. This research offers novel insights and effective solutions for predicting lncRNA subcellular localization, thereby providing valuable support for related biological investigations.

To investigate the role of long non-coding RNAs (lncRNAs) in the metabolic reprogramming of gastric cancer through their regulation of mesenchymal stem cells (MSCs) and HERPUD1 protein targets, aiming to elucidate mechanisms that could lead to novel therapeutic strategies.

The RNA-seq was performed on BGC and hMSC-BGC cells to perform LncRNA screening. And we employed cell culture techniques using hMSC-BM and BGC823 cells, treated with various genetic interventions including siRNA and overexpression vectors. Techniques such as cell viability assays, quantitative PCR (qPCR), Western blotting, RNA pull-down and RNA-FISH were utilized to validate the interaction between lncRNA AC012181.2 and HERPUD1 protein. Flow cytometry were utilized to analyze the impacts of lncRNA AC012181.2 on gene and protein expression related to cancer metabolism. Additionally, a tumorigenic model in nude mice was used to observe the in vivo effects.

Modulation of AC012181.2 in MSCs significantly affected the proliferation, migration, and invasion capabilities of BGC823 gastric cancer cells. Knockdown of AC012181.2 resulted in reduced tumor growth in mouse models, along with changes in key gene and protein expression levels associated with cancer metabolism. Overexpression of AC012181.2 showed the opposite effect, enhancing tumor growth and altering cellular behaviors and molecular expressions in favor of cancer progression.

The lncRNA AC012181.2 is crucial for gastric cancer metabolic reprogramming by regulating HERPUD1 Protein. Targeting it offers a promising avenue to impact the tumor microenvironment and develop novel gastric cancer therapies.

The invasion and metastasis of pancreatic cancer (PC) are key factors contributing to disease progression and poor prognosis. This process is primarily driven by EMT, which has been the focus of recent studies highlighting the role of long non-coding RNAs (lncRNAs) as crucial regulators of EMT. However, the mechanisms by which lncRNAs influence invasive metastasis are multifaceted, extending beyond EMT regulation alone.

This review primarily aims to characterize lncRNAs affecting invasion and metastasis in pancreatic cancer. We summarize the regulatory roles of lncRNAs across multiple molecular pathways and highlight their translational potential, considering the implications for clinical applications in diagnostics and therapeutics.

The review focuses on three principal scientific themes. First, we primarily summarize lncRNAs orchestrate various signaling pathways, such as TGF-β/Smad, Wnt/β-catenin, and Notch, to regulate molecular changes associated with EMT, thereby enhancing cellular motility and invasivenes. Second, we summarize the effects of lncRNAs on autophagy and ferroptosis and discuss the role of exosomal lncRNAs in the tumor microenvironment to regulate the behavior of neighboring cells and promote cancer cell invasion. Third, we emphasize the effects of RNA modifications (such as m6A and m5C methylation) on stabilizing lncRNAs and enhancing their capacity to mediate invasive metastasis in PC. Lastly, we discuss the translational potential of these findings, emphasizing the inherent challenges in using lncRNAs as clinical biomarkers and therapeutic targets, while proposing prospective research strategies.

The World Health Organization has mentioned breast cancer holds the highest incidence rate among all types of cancer globally. Death-associated protein kinase 2 (DAPK2) is a serine/threonine kinase linked to various forms of malignancy, such as breast cancer. This protein assumes a pivotal function in a multitude of cellular mechanisms, including apoptosis, autophagy, and cell migration.

This study aimed to study the LOC101928988 regulatory effect on the DAPK2 expression in breast cancer.

In this study, 38 paired tumoral and normal tissues were selected from patients. Quantitative real-time PCR was used to analyze the expression of DAPK2 and LOC101928988. The interactions of DAPK2 and its intermediate elements with LOC101928988 were predicted by docking analysis.

The expression of DAPK2 and LOC101928988 was downregulated in tumor tissues compared to the control group. Further analysis revealed a significant positive correlation between DAPK2 and LOC101928988 levels in tumoral and adjacent normal tissues. A comparison of gene expression between different grades, stages, and HER2 statuses showed significant findings. ROC curve analysis of DAPK2 and LOC101928988 expression revealed 77% and 72% AUC for BC tissue, respectively.

Overall, our results suggest that alterations in the levels of DAPK2 and LOC101928988 may be involved in tumor initiation and progression in breast cancer. It has also been reported that LOC101928988 probably has a role in regulating DAPK2 expression through interaction with transcription factors.

Previously considered junk or non-functional, long non-coding RNAs (lncRNAs) have emerged over the past few decades as pivotal components in both physiological and pathological processes, including cancer. Neuroblastoma-associated transcript-1 (NBAT-1) was initially discovered a decade ago as a risk-associated tumor suppressor lncRNA in neuroblastoma (NB). Subsequent studies have consistently demonstrated that NBAT-1 serves as a dedicated tumor suppressor in many cancers. NBAT-1 is significantly downregulated in cancer, which is closely linked to higher histological grades, increased metastasis, and poor survival in cancer patients suggesting NBAT-1's potential as a prognostic biomarker. In this review, we delve into the current body of literature, elucidating the tumor-suppressive roles of NBAT-1 and the underlying regulatory mechanisms in the context of human malignancies. Additionally, we shed light on the mechanisms contributing to the diminished expression of NBAT-1 and its potential as both a prognostic biomarker and a promising therapeutic target in cancer.

Calcific aortic valve disease (CAVD) is a common cardiovascular condition in the elderly population. The aortic valve, influenced by factors such as endothelial dysfunction, inflammation, oxidative stress, lipid metabolism disorders, calcium deposition, and extracellular matrix remodeling, undergoes fibrosis and calcification, ultimately leading to stenosis. In recent years, long non-coding RNAs (lncRNAs) have emerged as significant regulators of gene expression, playing crucial roles in the occurrence and progression of various diseases. Research has shown that lncRNAs participate in the pathological process underlying CAVD by regulating osteogenic differentiation and inflammatory response of valve interstitial cells. Specifically, lncRNAs, such as H19, MALAT1, and TUG1, are closely associated with CAVD. Some lncRNAs can act as miRNA sponges, form complex regulatory networks, and modulate the expression of calcification-related genes. In brief, this review discusses the mechanisms and potential therapeutic targets of lncRNAs in CAVD.

Long noncoding RNAs known as roX (RNA on the X) are crucial for male development in Drosophila, as their loss leads to male lethality from the late larval stages. While roX RNAs are recognized for their role in sex-chromosome dosage compensation, ensuring balanced expression of X-linked genes in both sexes, their potential influence on autosomal gene regulation remains unexplored. Here, using an integrative multi-omics approach, we show that roX RNAs not only govern the X chromosome but also target genes on autosomes that lack male-specific lethal (MSL) complex occupancy, together with Polycomb repressive complexes (PRCs). We observed that roX RNAs colocalize with MSL proteins on the X chromosome and PRC components on autosomes. Intriguingly, loss of roX function reduces X-chromosomal H4K16ac levels and autosomal H3K27me3 levels. Correspondingly, X-linked genes display reduced expression, whereas many autosomal genes exhibit elevated expression upon roX loss. Our findings propose a dual role for roX RNAs: activators of X-linked genes and repressors of autosomal genes, achieved through interactions with MSL and PRC complexes, respectively. This study uncovers the unconventional epigenetic repressive function of roX RNAs with PRC interaction.

The newly discovered LINC02532 is abnormally expressed in a variety of cancers and promotes cancer progression. The research proposed to discover the biological and molecular mechanisms of LINC02532 in breast cancer (BCa). In the resected BCa tissue samples and adjacent normal tissues, LINC02532, miR-541-3p, and High Mobility Group A1 (HMGA1) levels were determined. Cell function experiments were carried out on the premise of cell transfection with relevant plasmids. Based on that, the influence of LINC02532, miR-541-3p, and HMGA1 on MCF-7 cell activities (proliferation, migration, invasion, cell cycle, and apoptosis) was determined, as well as on EMT. Additionally, animal experiments were allowed to support cell experimental conclusions on LINC02532. Finally, the mechanistic network of LINC02532, miR-541-3p, and HMGA1 was identified. It was BCa tissues highly expressing LINC02532 and HMGA1, while lowly expressing miR-541-3p. Functionally, LINC02532 depletion repressed the activities and EMT process of MCF-7 cells. Silencing LINC02532 delayed tumor growth in mice. In terms of mechanism, LINC02532 mainly existed in the cytoplasm and could mediate HMGA1 expression by absorbing miR-541-3p. The findings offer new insights into the molecular mechanisms of LINC02532 in BCa and, more importantly, new strategies for the clinical treatment of BCa.

This article examines liquid biopsy using non-coding RNAs and extracellular vesicles in detail. Liquid biopsy is emerging as a prominent non-invasive diagnostic tool in the treatment of breast cancer. We will elucidate the roles of these molecules in early detection, monitoring treatment effectiveness, and prognostic assessment of breast cancer. Additionally, the clinical significance of these molecules will be discussed. We aim to delve into the distinct characteristics of these molecules and their possible roles in breast cancer management, with an anticipation of their contribution to future diagnostic and therapeutic advancements.

The interactions between long noncoding RNA (lncRNA) and protein play crucial roles in various biological processes. Computational methods are essential for predicting lncRNA-protein interactions and deciphering their mechanisms. In this chapter, we aim to introduce the fundamental framework for predicting lncRNA-protein interactions based on three-dimensional structure information. With the increasing availability of lncRNA and protein molecular tertiary structures, the feasibility of using deep learning methods for automatic representation and learning has become evident. This chapter outlines the key steps in predicting lncRNA-protein interactions using deep learning, including three common non-Euclidean data representations for lncRNA and proteins, as well as neural networks tailored to these specific data characteristics. We also highlight the advantages and challenges of structure-based prediction of lncRNA-protein interactions with geometric deep learning methods.

Distraction osteogenesis(DO) is a valuable bone regeneration technique, yet its prolonged consolidation phase often entails pain, high costs, infection risks, and lifestyle disruptions. Finding adjunctive approaches to shorten treatment duration is thus of clinical significance. Long noncoding RNAs have been demonstrated to play pivotal roles in regulating bone formation, and homeobox transcript antisense intergenic RNA(HOTAIR) was also reported to regulate osteogenesis and bone formation. However, its role in DO remains unclear.

The effects of HOTAIR on osteogenesis were examined in rat bone marrow-derived mesenchymal stem cells(BMSCs) by asssessing ALP activity, calcification, and osteogenic gene expression with HOTAIR knockdown or overexpression. Using a tibial DO model, HOTAIR-stably silenced BMSCs or control cells were locally injected into the percutaneous distraction gap, and the effects were evaluated by micro-CT, dual-energy X-ray examination, mechanical testing, hematoxylin and eosin staining, and immunohistochemistry.

In the present study, it was found that HOTAIR silence promoted while its overexpression suppressed the osteogenic differentiation of BMSCs. The Mechanistic study revealed that HOTAIR physically interacted with FTO, and disrupted FTO ubiquitination and degradation, leading to FTO up-regulation and suppressing osteogenesis. Using DO animal model, HOTAIR-silenced BMSCs stimulated new bone formation and accelerated DO healing in vivo.

Silence of HOTAIR enhanced osteogenesis in BMSCs and facilitated DO healing by recruiting FTO and inducing its degradation.

The findings generated from this study suggest that inhibitor of HOTAIR may be developed as a promising strategy for DO patients.

Breast cancer (BC) is one of the most prevalent forms of cancer globally, and has recently become the leading cause of cancer-related mortality in women. BC is a heterogeneous disease comprising various histopathological and molecular subtypes with differing levels of malignancy, and each patient has an individual prognosis. Etiology and pathogenesis are complex and involve a considerable number of genetic alterations and dozens of alterations in non-coding RNA expression. Non-coding RNAs are part of an abundant family of single-stranded RNA molecules acting as key regulators in DNA replication, mRNA processing and translation, cell differentiation, growth, and overall genomic stability. In the context of breast cancer, non-coding RNAs are involved in cell cycle control and tumor cell migration and invasion, as well as treatment resistance. Alterations in non-coding RNA expression may contribute to the development and progression of breast cancer, making them promising biomarkers and targets for novel therapeutic approaches. Currently, the use of non-coding RNAs has not yet been applied to routine practice; however, their potential has been very well studied. The present review is a literature overview of current knowledge and its objective is to delineate the function of diverse classes of non-coding RNAs in breast cancer, with a particular emphasis on their potential utility as diagnostic and prognostic markers or as therapeutic targets and tools.

Epigenetics encompasses reversible and heritable genomic changes in histones, DNA expression, and non-coding RNAs that occur without modifying the nucleotide DNA sequence. These changes play a critical role in modulating cell function in both healthy and pathological conditions. Dysregulated epigenetic mechanisms are implicated in various diseases, including cardiovascular disorders, neurodegenerative diseases, obesity, and mainly cancer. Therefore, to develop innovative therapeutic strategies, research for compounds able to modulate the complex epigenetic landscape of cancer is rapidly surging. Dietary phytochemicals, mostly flavonoids but also tetraterpenoids, organosulfur compounds, and isothiocyanates, represent biologically active molecules found in vegetables, fruits, medicinal plants, and beverages. These natural organic compounds exhibit epigenetic modulatory properties by influencing the activity of epigenetics key enzymes, such as DNA methyltransferases, histone acetyltransferases and deacetylases, and histone methyltransferases and demethylases. Due to the reversibility of the modifications that they induce, their minimal adverse effects, and their potent epigenetic regulatory activity, dietary phytochemicals hold significant promise as antitumor agents and warrant further investigation. This review aims to consolidate current data on the diverse epigenetic effects of the six major flavonoid subclasses, as well as other natural compounds, in the context of cancer. The goal is to identify new therapeutic epigenetic targets for drug development, whether as stand-alone treatments or in combination with conventional antitumor approaches.

The long non-coding RNA HOTAIR is overexpressed in many cancers and is associated with several cancer-promoting effects, including increased cell proliferation, migration and treatment resistance. HOTAIR levels correlate with tumor stage, lymph node metastasis and overall survival in patients with various types of cancer. This highlights the potential uses of HOTAIR, including early cancer detection, predicting patient outcome, identifying high-risk individuals and assisting in therapy selection and monitoring. The aim of this review is to provide a comprehensive summary of the research progress, molecular mechanisms and clinical significance of HOTAIR in various human cancers. In addition, the clinical applications of HOTAIR, such as targeted therapy, radiotherapy, chemotherapy and immunotherapy, are discussed, and relevant information on the potential future advances of HOTAIR in cancer research is provided.

New technologies have shown that most of the genome comprises transcripts that cannot code for proteins and are referred to as non-coding RNAs (ncRNAs). Some ncRNAs, like long non-coding RNAs (lncRNAs) and microRNAs (miRNAs), are of substantial interest because of their critical function in controlling genes and numerous biological activities. The expression levels and function of miRNAs and lncRNAs are rigorously monitored throughout developmental processes and the maintenance of physiological homeostasis. Due to their critical roles, any dysregulation or changes in their expression can significantly influence the pathogenesis of various human diseases. The interactions between miRNAs and lncRNAs have been found to influence gene expression in various ways. These interactions significantly influence the understanding of disease etiology, cellular processes, and potential therapeutic targets. Different experimental and in silico methods can be used to investigate miRNA-lncRNA interactions. By aiding the elucidation of miRNA-lncRNA interactions and deepening the understanding of post-transcriptional gene regulation, researchers can open a new window for designing hypotheses, conducting experiments, and discovering methods for diagnosing and treating complex human diseases. This review briefly summarizes miRNA and lncRNA functions, discusses their interaction mechanisms, and examines the experimental and computational methods used to study these interactions. Additionally, we highlight significant studies on lncRNA and miRNA interactions in various diseases from 2000 to 2024, using the academic research databases such as PubMed, Google Scholar, ScienceDirect, and Scopus.

Lung Cancer (LC) is characterized by chemoresistance, which poses a significant clinical challenge and results in a poor prognosis for patients. Long non-coding RNAs (lncRNAs) have recently gained recognition as crucial mediators of chemoresistance in LC. Through the regulation of key cellular processes, these molecules play important roles in the progression of LC and response to therapy. The mechanisms by which lncRNAs affect chemoresistance include the modulation of gene expression, chromatin structure, microRNA interactions, and signaling pathways. Exosomes have emerged as key mediators of lncRNA-driven chemoresistance, facilitating the transfer of resistance-associated lncRNAs between cancer cells and contributing to tumor development. Consequently, exosomal lncRNAs may serve as biomarkers and therapeutic targets for the treatment of LC. Therapeutic strategies targeting lncRNAs offer novel approaches to circumvent chemoresistance. Different approaches, including RNA interference (RNAi) and antisense oligonucleotides (ASOs), are available to degrade lncRNAs or alter their function. ASO-based therapies are effective at reducing lncRNA expression levels, increasing chemotherapy sensitivity, and improving clinical outcomes. The use of these strategies can facilitate the development of targeted interventions designed to disrupt lncRNA-mediated mechanisms of chemoresistance. An important aspect of this review is the discussion of the complex relationship between lncRNAs and drug resistance in LC, particularly through exosomal pathways, and the development of innovative therapeutic strategies to enhance drug efficacy by targeting lncRNAs. The development of new pathways and interventions for treating LC holds promise in overcoming this resistance.

Breast cancer has the highest incidence rate and causes the most fatalities among all female cancers worldwide. Triple-negative breast cancer (TNBC) is known for its strong invasiveness and higher rates of recurrence. In this research, we aimed to identify MIR4435-2HG as a promising long non-coding RNA (lncRNA) biomarker and therapeutic target for TNBC.

Utilizing clinicopathological information and transcriptome data from The Cancer Genome Atlas (TCGA) database, we assessed the clinical relevance of MIR4435-2HG in breast cancer through univariate and multivariate COX regression, receiver operating characteristic (ROC) analysis, as well as Kaplan-Meier survival analysis. To investigate the biological role of MIR4435-2HG in TNBC, we conducted gene set enrichment analysis (GSEA), as well as Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Additionally, we constructed and validated a nomogram to predict disease-free survival (DFS). Both the R package "pRRophetic" and the Tumor Immune Dysfunction and Exclusion (TIDE) algorithm were employed to forecast the sensitivity to different therapeutics between the high- and low-MIR4435-2HG groups. We employed single-cell RNA sequencing analysis and tumor microenvironment infiltration analysis to investigate the potential involvement of MIR4435-2HG in the TNBC tumor microenvironment. Cellular biological behaviors were assessed utilizing CCK-8, transwell assays, and wound-healing assays. Furthermore, we performed RNA-seq, qRT-PCR, and western blotting analyses to elucidate and confirm the specific mechanisms underlying the role of MIR4435-2HG in TNBC.

In our study, we have identified MIR4435-2HG as a significant diagnostic and prognostic factor for TNBC. We observed that MIR4435-2HG is widely expressed and might have a significant impact on the reshaping of the TNBC tumor microenvironment. Patients with TNBC in the high-MIR4435-2HG group may show reduced sensitivity to cisplatin, doxorubicin, and gemcitabine and have an increased propensity for immune escape. Knockdown of MIR4435-2HG inhibits cancer-associated fibroblasts (CAFs) activation. Notably, MIR4435-2HG predominantly enhances the migratory and invasive capabilities of TNBC cells through the epithelial-mesenchymal transition (EMT) process. Mechanistically, we validated that MIR4435-2HG activates the JNK/c-Jun and p38 non-classical MAPK signaling pathway in TNBC cells.

Our findings highlight the significant potential of MIR4435-2HG as a highly promising biomarker for TNBC. Targeting MIR4435-2HG could represent an appealing therapeutic approach for TNBC.

Single-cell RNA sequencing (scRNA-seq) has transformed our understanding of cellular diversity with unprecedented resolution. However, many current methods are limited in capturing full-length transcripts and discerning strand orientation. Here, we present RAG-seq, an innovative strand-specific total RNA sequencing technique that combines not-so-random (NSR) primers with Tn5 transposase-mediated tagmentation. RAG-seq overcomes previous limitations by delivering comprehensive transcript coverage and maintaining strand orientation, which are essential for accurate quantification of overlapping genes and detection of antisense transcripts. Through optimized reverse transcription with oligo-dT primers, rRNA depletion via Depletion of Abundant Sequences by Hybridization (DASH), and linear amplification, RAG-seq enhances sensitivity and reproducibility, especially for low-input samples and single cells. Application to mouse oocytes and early embryos highlights RAG-seq's superior performance in identifying stage-specific antisense transcripts, shedding light on their regulatory roles during early development. This advancement represents a significant leap in transcriptome analysis within complex biological contexts.

Breast cancer (BC) is a multifactorial disease of unknown etiology whose major risk factors are genetic alterations of cell proliferation and migration pathways. HOX transcript antisense RNA gene (HOTAIR) is a long noncoding RNA (lncRNA) related to cell proliferation, progression, invasion, metastasis, and poor survival of multiple cancers, including BC. Controversial results have emerged on the association between breast cancer risk in multiple ethnicities. This study explores the association of rs12826786, rs920778, and rs4759314 variants in the HOTAIR gene in BC patients.

DNA of peripheral blood samples was obtained from 588 women (289 patients and 299 control females). Genotypes were identified using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) methodology. The association was calculated using the odds ratio (OR) test. p-values were adjusted by the Bonferroni test (0.016).

The rs12826786 (C > T), rs920778 (T > C), and rs4759314 (A > G) variants were associated with BC and with TNM stage, histologic type, and histologic molecular subtype (P = .001). Likewise, the haplotype C-T-G in the HOTAIR gene (rs12826786-rs920778-rs4759314) was significantly related to BC (OR = 5.44, 95% CI, 2.22-13.32, P = .001).

The results suggest that rs12826786, rs920778, and rs4759314 variants in HOTAIR significantly influence breast cancer risk.

Gallbladder cancer (GBC) is an aggressive and lethal malignancy with a poor prognosis. Long noncoding RNAs (lncRNAs) and natural products have emerged as key orchestrators of cancer pathogenesis through widespread dysregulation across GBC transcriptomes. Functional studies have revealed that lncRNAs interact with oncoproteins and tumor suppressors to control proliferation, invasion, metastasis, angiogenesis, stemness, and drug resistance. Curcumin, baicalein, oleanolic acid, shikonin, oxymatrine, arctigenin, liensinine, fangchinoline, and dioscin are a few examples of natural compounds that have demonstrated promising anticancer activities against GBC through the regulation of important signaling pathways. The lncRNAs, i.e., SNHG6, Linc00261, GALM, OIP5-AS1, FOXD2-AS1, MINCR, DGCR5, MEG3, GATA6-AS, TUG1, and DILC, are key players in regulating the aforementioned processes. For example, the lncRNAs FOXD2-AS1, DILC, and HOTAIR activate oncogenes such as DNMT1, Wnt/β-catenin, BMI1, and c-Myc, whereas MEG3 and GATA6-AS suppress the tumor proteins NF-κB, EZH2, and miR-421. Clinically, specific lncRNAs can serve as diagnostic or prognostic biomarkers based on overexpression correlating with advanced TNM stage, metastasis, chemoresistance, and poor survival. Therapeutically, targeting aberrant lncRNAs with siRNA or antisense oligos disrupts their oncogenic signaling and inhibits GBC progression. Overall, dysfunctional lncRNA regulatory circuits offer multiple avenues for precision medicine approaches to improve early GBC detection and overcome this deadly cancer. They have the potential to serve as novel biomarkers as they are detectable in bodily fluids and tissues. These findings enhance gallbladder treatments, mitigating resistance to chemo- and radiotherapy.

Polycomb group (PcG) proteins play key roles in development by repressing thousands of targets through histone modifications. However, how PcG is recruited to specific targets is poorly understood. In Arabidopsis, certain noncoding RNAs are necessary for recruiting the PcG protein CURLY LEAF (CLF) to its target sites. However, RNAs associated with CLF have not been analyzed on a genomic scale; thus, it is unknown whether long noncoding RNA (lncRNA)-mediated PcG recruitment is a widespread mechanism. Here, we systematically searched for CLF-associated RNAs by RNA immunoprecipitation followed by deep sequencing. We identified 1,299 genic and 138 intergenic regions that produced CLF-associated mRNAs and putative lncRNAs, respectively. The genes producing CLF-associated RNAs are depleted in PcG targets, carry active chromatin marks, and are highly expressed, suggesting that CLF may have a nonspecific or promiscuous RNA-binding affinity, similar to animal PcG proteins. Notably, a significant portion of the CLF-associated lncRNAs is derived from the nuclear mitochondrial sequence, which is extensively marked by H3K27me3. These findings indicate that, while CLF-RNA interactions are widespread, they may not always correlate with PcG target sites, highlighting the complexity of PcG recruitment mechanisms in Arabidopsis.

Cancer remains a major global health concern with high mortality rates mainly due to late diagnosis and poor prognosis. Long non-coding RNAs (lncRNAs) are emerging as key regulators of gene expression in human cancer, functioning through various mechanisms including as competing endogenous RNAs (ceRNAs) and indirectly regulating miRNA expression. LncRNAs have been found to have both oncogenic and tumor-suppressive roles in cancer, with the former promoting cancer cell proliferation, migration, invasion, and poor prognosis. Recent research has shown that lncRNAs are expressed in various immune cells and are involved in cancer cell immune escape and the modulation of the tumor microenvironment, thus highlighting their potential as targets for cancer immunotherapy. Targeting lncRNAs in cancer or immune cells could enhance the anti-tumor immune response and improve cancer immunotherapy outcomes. However, further research is required to fully understand the functional roles of lncRNAs in cancer and the immune system and their potential as targets for cancer immunotherapy. This review offers a comprehensive examination of the multifaceted roles of lncRNAs in human cancers, with a focus on their potential as targets for cancer immunotherapy. By exploring the intricate mechanisms underlying lncRNA-mediated regulation of cancer cell proliferation, invasion, and immune evasion, we provide insights into the diverse therapeutic applications of these molecules.

Numerous studies have demonstrated the significance of long noncoding RNA (lncRNA) in the development of cancer metastasis. The expression levels of many lncRNAs are elevated in metastatic lung cancer patients compared to non-metastatic lung cancer patients.

The primary objective of the study was to investigate the association between the expression levels of three lncRNAs (MALAT1, HOTAIR, and AFAP1-AS1) and lymph node metastasis (LNM) of lung cancer.

Cell Press, PubMed, SpringerLink, Web of Science, and Google Scholar were explored to perform the literature search. After screening 1862 articles, 66 English-language articles were selected based on the inclusion and exclusion criteria. From those articles, 17 publications comprising 1622 lung cancer patients were chosen for statistical analyses as well as quality assessment tests.

Forest plot analysis revealed that there was a significant difference in the incidence of LNM between the high and low MALAT1 expression groups (OR = 3.21, 95% CI: 1.34-7.67; random effects model). Significant differences were also observed in the incidence of LNM between patients with high and low HOTAIR expression levels (OR = 4.17, 95% CI: 1.47-11.82; random effects model). The expression level of AFAP1-AS1 was found to be significantly associated with LNM in lung cancer (OR = 2.31, 95% CI: 1.39-3.85, random effects model). Additional analysis from GEPIA and GEO databases revealed that the expression levels of these lncRNAs vary according to the type of tumor tissue, organ of metastasis, and cancer stage. However, these databases show that the result for AFAP1-AS1 is the most aligned with the meta-analysis's findings. Furthermore, several quality assessment tests showed that the AFAP1-AS1 studies are more reliable compared to the studies of other lncRNAs.

This study suggested that LNM in lung cancer patients is associated mostly with an elevated AFAP1-AS1 lncRNA level among the pool of three lncRNAs analyzed. Before these results can be implemented in a clinical setting, it is essential to conduct further validation and undertake comprehensive analysis to ensure robustness and reliability.