Hepatoblastoma: Derived Exosomal LncRNA NEAT1 Induces BMSCs Differentiation into Tumor-Supporting Myofibroblasts via Modulating the miR-132/MMP9 Axis

From diagnosis to therapy: The critical role of lncRNAs in hepatoblastoma

According to findings, long non-coding RNAs (lncRNAs) serves an integral part in growth and development of a variety of human malignancies, including Hepatoblastoma (HB). HB is a rare kind of carcinoma of the liver that mostly affects kids and babies under the age of three. Its manifestations include digestive swelling, abdominal discomfort, and losing weight. This thorough investigation digs into the many roles that lncRNAs serve in HB, giving views into their varied activities as well as possible therapeutic consequences. The function of lncRNAs in HB cell proliferation, apoptosis, migratory and penetrating capacities, epithelial-mesenchymal transition, and therapy tolerance is discussed. Various lncRNA regulatory roles are investigated in depth, yielding information on their effect on essential cell processes such as angiogenesis, apoptosis, immunity, and growth. Circulating lncRNAs are currently acknowledged as potential indications for the initial stages of identification of cancer, with the ability to diagnose as well as forecast. In addition to their diagnostic utility, lncRNAs provide curative opportunities as locations and actors, contributing to the expanding landscape of cancer research. Several HB-linked lncRNAs have been demonstrated to exhibit abnormal expression and are involved in tumor-like characteristics via DNA, RNA, or protein binding or encoding short peptides. As a result, a better knowledge of lncRNA instability might bring fresh perspectives into HB etiology as well as innovative strategies for HB early diagnosis and therapy. We describe the abnormalities of lncRNA expression in HB and their tumor-suppressive or carcinogenic activities during HB carcinogenesis in this study. Furthermore, we explore lncRNAs' diagnostic and therapeutic possibilities in HB.

The role of lncRNA NEAT1 in human cancer chemoresistance

Chemotherapy is currently one of the most effective methods in clinical cancer treatment. However, chemotherapy resistance is an important reason for poor chemotherapy efficacy and prognosis, which has become an urgent problem to be solved in the field of cancer chemotherapy. Therefore, it is very important to deeply study and analyze the mechanism of cancer chemotherapy resistance and its regulatory factors. Long non-coding RNA nuclear paraspeckle assembly transcript 1 (LncRNA NEAT1) has been shown to be closely associated with chemotherapy resistance in cancer. NEAT1 induces cancer cell resistance to chemotherapeutic drugs by regulating cell apoptosis, cell cycle, drug transport and metabolism, DNA damage repair, EMT, autophagy, cancer stem cell characteristics, and metabolic reprogramming. This indicates that NEAT1 may be an important target to overcome chemotherapy resistance and is expected to be a potential biomarker to predict the effect of chemotherapy. This article summarizes the expression characteristics and clinical characteristics of NEAT1 in different cancers, and deeply discusses the regulatory role of NEAT1 in cancer chemotherapy resistance and related molecular mechanisms, aiming to clarify NEAT1 as a new target to overcome cancer chemotherapy resistance and the feasibility of chemotherapy sensitizers, with a view to providing a potential therapeutic direction for overcoming the dilemma of cancer resistance in the future.

LncRNA NEAT1 in the pathogenesis of liver-related diseases

Nuclear paraspeckle assembly transcript 1 (NEAT1) is a long noncoding RNA (lncRNA) that is widely expressed in a variety of mammalian cell types. Altered expression levels of the lncRNA NEAT1 have been reported in liver-related disorders including cancer, fatty liver disease, liver fibrosis, viral hepatitis, and hepatic ischemia. lncRNA NEAT1 mostly acts as a competing endogenous RNA (ceRNA) to sponge various miRNAs (miRs) to regulate different functions. In regard to hepatic cancers, the elevated expression of NEAT1 has been reported to have a relation with the proliferation, migration, angiogenesis, apoptosis, as well as epithelial-mesenchymal transition (EMT) of cancer cells. Furthermore, NEAT1 upregulation has contributed to the pathogenesis of other liver diseases such as fibrosis. In this review, we summarize and discuss the molecular mechanisms by which NEAT1 contributes to liver-related disorders including acute liver failure, nonalcoholic fatty liver disease (NAFLD), liver fibrosis, and liver carcinoma, providing novel insights and introducing NEAT1 as a potential therapeutic target in these diseases.

Tumorigenic and tumoricidal properties of exosomes in cancers; a forward look

In recent decades, emerging data have highlighted the critical role of extracellular vesicles (EVs), especially (exosomes) Exos, in the progression and development of several cancer types. These nano-sized vesicles are released by different cell lineages within the cancer niche and maintain a suitable platform for the interchange of various signaling molecules in a paracrine manner. Based on several studies, Exos can transfer oncogenic factors to other cells, and alter the activity of immune cells, and tumor microenvironment, leading to the expansion of tumor cells and metastasis to the remote sites. It has been indicated that the cell-to-cell crosstalk is so complicated and a wide array of factors are involved in this process. How and by which mechanisms Exos can regulate the behavior of tumor cells and non-cancer cells is at the center of debate. Here, we scrutinize the molecular mechanisms involved in the oncogenic behavior of Exos released by different cell lineages of tumor parenchyma. Besides, tumoricidal properties of Exos from various stem cell (SC) types are discussed in detail.

Unveiling the functional paradigm of exosome-derived long non-coding RNAs (lncRNAs) in cancer: based on a narrative review and systematic review

BACKGROUND AND PURPOSE

The intricate mechanisms underlying intercellular communication within the tumor microenvironment remain largely elusive. Recently, attention has shifted towards exploring the intercellular signaling mediated by exosomal long non-coding RNAs (lncRNAs) within this context. This comprehensive systematic review aims to elucidate the functional paradigm of exosome-derived lncRNAs in cancer.

MATERIALS AND METHODS

The review provides a comprehensive narrative of lncRNA definition, characteristics, as well as the formation, sorting, and uptake processes of exosome-derived lncRNAs. Additionally, it describes comprehensive technology for exosome research and nucleic acid drug loading. This review further systematically examines the cellular origins, functional roles, and underlying mechanisms of exosome-derived lncRNAs in recipient cells within the cancer setting.

RESULTS

The functional paradigm of exosome-derived lncRNAs in cancer mainly depends on the source cells and sorting mechanism of exosomal lncRNAs, the recipient cells and uptake mechanisms of exosomal lncRNAs, and the specific molecular mechanisms of lncRNAs in recipient cells. The source cells of exosomal lncRNAs mainly involved in the current review included tumor cells, cancer stem cells, normal cells, macrophages, and cancer-associated fibroblasts.

CONCLUSION

This synthesis of knowledge offers valuable insights for accurately identifying exosomal lncRNAs with potential as tumor biomarkers. Moreover, it aids in the selection of appropriate targeting strategies and preclinical models, thereby facilitating the clinical translation of exosomal lncRNAs as promising therapeutic targets against cancer. Through a comprehensive understanding of the functional role of exosome-derived lncRNAs in cancer, this review paves the way for advancements in personalized medicine and improved treatment outcomes.

GAE-LGA: integration of multi-omics data with graph autoencoders to identify lncRNA-PCG associations

Long non-coding RNAs (lncRNAs) can disrupt the biological functions of protein-coding genes (PCGs) to cause cancer. However, the relationship between lncRNAs and PCGs remains unclear and difficult to predict. Machine learning has achieved a satisfactory performance in association prediction, but to our knowledge, it is currently less used in lncRNA-PCG association prediction. Therefore, we introduce GAE-LGA, a powerful deep learning model with graph autoencoders as components, to recognize potential lncRNA-PCG associations. GAE-LGA jointly explored lncRNA-PCG learning and cross-omics correlation learning for effective lncRNA-PCG association identification. The functional similarity and multi-omics similarity of lncRNAs and PCGs were accumulated and encoded by graph autoencoders to extract feature representations of lncRNAs and PCGs, which were subsequently used for decoding to obtain candidate lncRNA-PCG pairs. Comprehensive evaluation demonstrated that GAE-LGA can successfully capture lncRNA-PCG associations with strong robustness and outperformed other machine learning-based identification methods. Furthermore, multi-omics features were shown to improve the performance of lncRNA-PCG association identification. In conclusion, GAE-LGA can act as an efficient application for lncRNA-PCG association prediction with the following advantages: It fuses multi-omics information into the similarity network, making the feature representation more accurate; it can predict lncRNA-PCG associations for new lncRNAs and identify potential lncRNA-PCG associations with high accuracy.

Macrophage-Secreted Exosomal HCG11 Promotes Autophagy in Antigen 85B-Infected Macrophages and Inhibits Fibroblast Fibrosis to Affect Tracheobronchial Tuberculosis Progression via the miR-601/Sirtuin 1 Axis

Background: Tracheobronchial tuberculosis (TBTB) is a serious threat to human health. We aimed to explore the potential regulatory mechanism by which macrophages secrete exosomes that regulate TBTB progression. Methods: Bioinformatics analysis predicted lncRNAs with low expression in TBTB. Macrophage-derived exosomes were isolated and identified. HCG11 was knocked down and overexpressed, and miR-601 was overexpressed. ELISA was utilized to measure TGF-β, IL-8, IL-6 and IFN-γ levels. Based on bioinformatics prediction and dual-luciferase assay analysis, lncRNA HCG11 bound to miR-601, and miR-601 bound to SIRT1. The mRNA or protein expressions of lncRNA HCG11, miR- 601, SIRT1, PI3K/Akt/mTOR pathway-related factors, ATG5 and LC3B, as well as COL-1, MMP2, Timp-1 and Timp-3, were evaluated. Results: HCG11 was expressed at low levels in TBTB patients. Macrophage-secreted exosomes inhibited Ag85B-induced macrophage proinflammatory response and promoted autophagy. Moreover, normal macrophage (MØ)-exo-derived HCG11 could inhibit Ag85B-induced macrophage proinflammatory response and promote autophagy. HCG11 bound to miR-601, and miR-601 bound to SIRT1. HCG11 inhibited miR-601 to upregulate SIRT1. In addition, MØ-exo-derived HCG11 reduced Ag85B-induced fibroblast hyperproliferation and extracellular matrix deposition through the miR-601/SIRT1 axis. Conclusion: Macrophage-secreted exosomal HCG11 promotes autophagy in Ag85B-infected macrophages and inhibits fibroblast fibrosis to affect TBTB progression via the miR-601/SIRT1 axis.