Anterior segment dysgenesis (ASD) disorders are phenotypically diverse and have multiple associated genes. This study reports on a Chinese family of three generations with ASD disorders and identifies several associated genes and pathways of the disorders.

Immunotherapy describes a class of therapies in which the immune system is manipulated for therapeutic benefit. These treatments include immune checkpoint inhibitors, adoptive cell therapy, and vaccines. For many hematological malignancies, immunotherapy has emerged as an essential treatment component. However, this success has yet to be replicated for solid tumors, which develop advanced physical and molecular mechanisms for suppressing and evading immune destruction. Nevertheless, cytokine immunotherapy presents a potential remedy to these barriers by delivering a proinflammatory immune signal to the tumor and thereby transforming it from immunologically "cold" to "hot." Interleukin-12 (IL-12), one of the most potent proinflammatory cytokines, was initially investigated for this purpose. However, initial murine and human studies in which IL-12 was administered systemically resulted in dangerous immunotoxicity associated with off-target immune activation. As a result, recent studies have employed advanced cell and molecular engineering approaches to reduce IL-12 toxicity while increasing or maintaining its efficacy such that its effective doses can be tolerated in humans. This review highlights such developments and identifies promising future directions.

Glioma, particularly glioblastoma, is the most common and aggressive primary brain tumor, with poor prognosis due to its metabolic heterogeneity. NSUN2, an m5C RNA methyltransferase and direct glucose sensor, has been implicated in various malignancies, but its role in glioma remains unclear.

Since ANGPTL4 was discovered to be involved in lipid metabolism in 2000 for the first time, Angptl4 has attracted the attention of researchers. With the further research, it was found that angptl4 was also involved in many biological activities (glucose metabolism, angiogenesis, wound healing, tumor growth, etc.) in vivo. In this review, we provide an overview of the fundamental role of ANGPTL4 in metabolic regulation and its impact on tumor growth. These insights may provide a way for exploring ANGPTL4 as a potential therapeutic target for future disease treatments.

Osteoporosis manifests through adipocyte accrual and osteoblast diminution within bone marrow. However, the precise mechanisms driving the shift from osteogenesis to adipogenesis in bone marrow mesenchymal stem cells (BMSCs) remain largely undefined. In this study, we harnessed the power of bioinformatic tools to analyze gene expression patterns of BMSCs during adipogenic differentiation and osteoporosis using the data from Gene Expression Omnibus (GEO) repositories (GSE113253 and GSE35956), complemented by in vitro and in vivo experiments to validate the findings. Five distinct expression profiles of differentially expressed genes across the adipogenic timeline were identified. The initial phase is marked by ribosome biogenesis and rRNA processing, which is followed by the metabolism of organic acids and processing of inorganic ions. In contrast, the terminal phase is characterized by lipid transport, accumulation, and metabolism, alongside inorganic cation metabolism, thereby underscoring unique transcriptional signatures during the early and late stages of adipogenic differentiation. In BMSCs derived from osteoporotic samples, there is a notable decline in cellular proliferation and a diminished osteogenic capacity. Critically, the genes common to both adipogenesis and osteoporosis in BMSCs are predominantly involved in the negative regulation of Wnt signaling and cellular proliferation. Key genes including SOCS1, MYC, CEBPB, FYN, AXIN2, and RXRA are identified and show downregulation in BMSCs from aged mice. Subsequent in vitro experiments have validated the regulatory influence of RXRA on both adipogenic and osteogenic differentiations of BMSCs, highlighting its crucial role as a central modulator in bone formation and the pathophysiology of osteoporosis.

With its rapidly increasing incidence and prevalence, ulcerative colitis (UC) has become a major global health challenge. Recent evidence suggests that ferroptosis plays a significant role in the development of UC. However, the relationship between ferroptosis and the progression of UC needs to be extensively studied.

This study explores the role of the transcription factor FOXM1 in the initiation and progression of oesophageal squamous cell carcinoma (ESCC). Our findings reveal that FOXM1 is highly expressed in ESCC and correlates with the prognosis of the disease. The relationship between FOXM1 and asparagine synthetase (ASNS) is investigated, and the study demonstrates that FOXM1 activates ASNS, impacting the tumour stemness of ESCC. In this study, we reveal the association between FOXM1 and ESCC development, as well as FOXM1's promotion of migration and proliferation in ESCC cells. The study also highlights FOXM1's regulation of ASNS transcription and the functional role of ASNS in ESCC metastasis and growth. Furthermore, the study explores the impact of FOXM1 and ASNS on ESCC stemness and their potential implications for chemotherapy resistance.

Non-small cell lung cancer (NSCLC) is the main type of lung cancer with high morbidity and mortality. Vascular mimicry (VM), a distinct microcirculation model in tumors that differs from classical angiogenesis, is strongly associated with poor clinical outcomes in cancer patients. miR-491-5p has been reported to prevent NSCLC progression, including proliferation, metastasis, and angiogenesis. However, the effect and mechanism of miR-491-5p on VM have not been studied in NSCLC.

Lung cancer is a prevalent form of cancer worldwide. A possible link between lung cancer and chronic obstructive pulmonary disease (COPD) has been suggested by recent studies. The objective of our research was to analyze the mRNA expression patterns in both situations, with a specific emphasis on their biological functions and the pathways they are linked to.

The rapid development and authorization of messenger ribonucleic acid (mRNA) vaccines by Pfizer-BioNTech (BNT162b2) and Moderna (mRNA-1273) in 2020 marked a significant milestone in human mRNA product application, overcoming previous obstacles such as mRNA instability and immunogenicity. This paper reviews the strategic modifications incorporated into these vaccines to enhance mRNA stability and translation efficiency, such as the inclusion of nucleoside modifications and optimized mRNA design elements including the 5' cap and poly(A) tail. We highlight emerging concerns regarding the wide systemic biodistribution of these mRNA vaccines leading to prolonged inflammatory responses and other safety concerns. The regulatory framework guiding the biodistribution studies is pivotal in assessing the safety profiles of new mRNA formulations in use today. The stability of mRNA vaccines, their pervasive distribution, and the longevity of the encapsulated mRNA along with unlimited production of the damaging and potentially lethal spike (S) protein call for strategies to mitigate potential adverse effects. Here, we explore the potential of small interfering RNA (siRNA) and ribonuclease targeting chimeras (RIBOTACs) as promising solutions to target, inactivate, and degrade residual and persistent vaccine mRNA, thereby potentially preventing uncontrolled S protein production and reducing toxicity. The targeted nature of siRNA and RIBOTACs allows for precise intervention, offering a path to prevent and mitigate adverse events of mRNA-based therapies. This review calls for further research into siRNA and RIBOTAC applications as antidotes and detoxication products for mRNA vaccine technology.

This study aims to develop and validate machine learning-based diagnostic and prognostic models to predict the risk of distant lymph node metastases (DLNM) in patients with hepatocellular carcinoma (HCC) and to evaluate the prognosis for this cohort.

Advancements in sequencing technologies have facilitated omics level information generation for various diseases in human. High-throughput technologies have become a powerful tool to understand differential expression studies and transcriptional network analysis. An understanding of complex transcriptional networks in human diseases requires integration of datasets representing different RNA species including microRNA (miRNA) and messenger RNA (mRNA). This review emphasises on conceptual explanation of generalized workflow and methodologies to the miRNA mediated responses in human diseases by using different in silico analysis. Although, there have been many prior explorations in miRNA-mediated responses in human diseases, the advantages, limitations and overcoming the limitation through different statistical techniques have not yet been discussed. This review focuses on miRNAs as important gene regulators in human diseases, methodologies for miRNA-target gene prediction and data driven methods for enrichment and network analysis for miRnome-targetome interactions. Additionally, it proposes an integrative workflow to analyse structural components of networks obtained from high-throughput data. This review explains how to apply the existing methods to analyse miRNA-mediated responses in human diseases. It addresses unique characteristics of different analysis, its limitations and its statistical solutions influencing the choice of methods for the analysis through a workflow. Moreover, it provides an overview of promising common integrative approaches to comprehend miRNA-mediated gene regulatory events in biological processes in humans. The proposed methodologies and workflow shall help in the analysis of multi-source data to identify molecular signatures of various human diseases.

Lung cancer is a prevalent and severe form of malignant tumors worldwide. tRF-Leu-CAG, a recently discovered non-coding single-stranded small RNA derived from transfer RNA, has sparked interest in exploring its biological functions and potential molecular mechanisms in lung cancer.

Immunotherapy represents a groundbreaking and monumental achievement in the field of cancer therapy, marking a significant advancement in fighting against this devastating disease. Lung cancer has showed consistent clinical improvements in response to immunotherapy treatments, yet, it is undeniable that challenges such as limited response rates acquire resistance, and the unclear fundamental mechanisms were inevitable problems.

Epidemiological evidence on the associations between female reproductive features and nonalcoholic fatty liver disease (NAFLD) is conflicting. To explore their causalities, we conducted a Mendelian randomization (MR) study.

Lung cancer continues to be a prevalent cause of cancer-related deaths worldwide, with lung squamous carcinoma (LUSC) being a significant subtype characterized by comparatively low survival rates. Extensive molecular studies on LUSC have been conducted; however, the clinical importance of cell-cycle-associated genes has rarely been examined. This study aimed to investigate the relationship between these genes and LUSC.

Hepatocellular carcinoma (HCC) remains a formidable challenge in oncology, with its pathogenesis and progression influenced by myriad factors. Among them, the pervasive organic synthetic compound, bisphenol A (BPA), previously linked with various adverse health effects, has been speculated to play a role. This study endeavors to elucidate the complex interplay between BPA, the immune microenvironment of HCC, and the broader molecular landscape of this malignancy.

Endoplasmic reticulum stress (ERS) could be a strategy for treating malignant tumors. Moreover, long noncoding RNAs (lncRNAs) can promote tumorigenesis and progression, and forecast the prognosis of cancers. Nevertheless, the prognostic value of ERS-related lncRNAs has not been reported in lung adenocarcinoma (LUAD).

The uncontrolled growth and spread of cancerous cells beyond their usual boundaries into surrounding tissues characterizes cancer. In developed countries, cancer is the leading cause of death, while in underdeveloped nations, it ranks second. Using existing cancer diagnostic tools has increased early detection rates, which is crucial for effective cancer treatment. In recent decades, there has been significant progress in cancer-specific survival rates owing to advances in cancer detection and treatment. The ability to accurately identify precursor lesions is a crucial aspect of effective cancer screening programs, as it enables early treatment initiation, leading to lower long-term incidence of invasive cancer and improved overall prognosis. However, these diagnostic methods have limitations, such as high costs and technical challenges, which can make accurate diagnosis of certain deep-seated tumors difficult. To achieve accurate cancer diagnosis and prognosis, it is essential to continue developing cutting-edge technologies in molecular biology and cancer imaging.

Identifying biomarkers to predict immune checkpoint inhibitor (ICI) efficacy is warranted. Considering that somatic mutation-derived neoantigens induce strong immune responses, patients with a high tumor mutational burden reportedly tend to respond to ICIs. Therefore, the original function of neoantigenic mutations and their impact on the tumor microenvironment (TME) require attention. RNF43 is a type of RING E3 ubiquitin ligase, and long-term survivors in most cancers had conserved patterns of mutations of RNF43. Also, high microsatellite instability patients had a higher RNF43 mutation rate compared with microsatellite stability tumor patients, who were more sensitive to ICI treatment. Therefore, RNF43 has become a promising biomarker of immunotherapy in a wide range of cancers. This review focuses on the up-to-date knowledge of RNF43 mutation in cancer. We summarize the cancer hallmarks involving activities regulated by RNF43 and highlight its extremely sophisticated regulation of WNT signaling and tumor microenvironment. The key genes interacting with RNF43 have also been summarized and discussed. Additionally, we highlight and propose new strategies of targeting RNF43 and RNF43-based combinations with established immunotherapy and combination therapy. These efforts may provide new perspectives for RNF43-based target therapy in cancer.

Conventional adeno-associated viral (AAV) vectors, while highly effective in quiescent cells such as hepatocytes in the adult liver, confer less durable transgene expression in proliferating cells owing to episome loss. Sustained therapeutic success is therefore less likely in liver disorders requiring early intervention. We have previously developed a hybrid, dual virion approach, recombinant AAV (rAAV)/piggyBac transposon system capable of achieving stable gene transfer in proliferating hepatocytes at levels many fold above conventional AAV vectors. An alternative transposon system, Sleeping Beauty, has been widely used for ex vivo gene delivery; however liver-targeted delivery using a hybrid rAAV/Sleeping Beauty approach remains relatively unexplored.