Aim: This research aimed at clarifying the intracellular effect of SERPINE1 in the progression of colon adenocarcinoma (COAD) and the underlying mechanism. Methods: We obtained the expression profile of SERPINE1 in COAD via the Starbase database and verified it on COAD tissue samples through qRT-PCR and immunoblotting, respectively. Also, miRWalk, TargetScan and miRDB databases were adopted to generate the miRNA prediction that might target SERPINE1, and the gene target miR-148a-3p was confirmed using dual-luciferase assays. The effect of SERPINE1 and miR-148a-3p on COAD was further evaluated by cell experiments. MTT assay was used to detect the change of cell proliferation ability. The invasive and migratory capability of COAD cells was examined using transwell and would healing assays. Cell apoptosis was determined through flow cytometry. The expressions of genes and EMT-associated proteins were evaluated by qRT-PCR and immunoblotting. Further lucubration of the biological relevance of SERPINE1 and miR-148a-3p was conducted using rescue experiments. Results: We found that the expression quantities of SERPINE1 in COAD tissues and cell lines were higher than those in corresponding non-cancerous tissues and normal cells. When SERPINE1 expression is reduced, EMT process is inhibited, invasion and proliferation ability of COAD cells are obviously reduced, and apoptosis level is increased. Moreover, SERPINE1 was identified as the target gene of miR-148a-3p. When the expression of miR-148a-3p was enhanced, it was found that the expression of SERPINE1 was reduced. miR-148a-3p played the similar effect of si-SERPINE1 that suppressed the COAD progression. Additionally, we found out that SERPINE1 is validated in hindering the tumor healing effect of miR148a-3p in COAD, including cell growth and invasion. Conclusion: Our study suggests that SERPINE1/miR-148a-3p axis has potential as prognostic markers of COAD and provides reference for the development of new therapies.

Conserved protein antigens among serotypes of group A Streptococcus pyogenes (GAS) have been focused for vaccine development because of the diversity of GAS serotypes and risks of autoimmunity post-GAS infection. Precise delineation of protective immune response to each of GAS antigens is critical for vaccine efficacy and safety. We recently reported that immunization with SrtA of GAS provides Th17-dependent clearance of heterologous serotypes of GAS in NALT. SCPA is a surface virulence molecule of GAS and known to induce antibody-mediated protection against GAS. We hypothesized that co-immunization with SrtA and SCPA would provide more efficient protection by eliciting combined Th17 and antibody responses. The present study showed that mice that were intranasally co-immunized with SrtA/SCPA cleared GAS more efficiently than the mice that were immunized with either SrtA or SCPA individually, and as efficient as the mice that experienced repeated GAS infections. The co-immunization induced Th17 and robust SCPA antibody responses, accompanied by a rapid influx of neutrophils and high myeloperoxidase activity in NALT, suggesting that simultaneous induction of mucosal Th17 and neutralizing antibody responses offers more effective GAS elimination through rapid infiltration and activation of neutrophils. Moreover, Th17 response was strongly induced in mice that experienced repeated GAS-infection and maintained at a high level even after the bacteria were cleared; whereas, it was moderately induced and promptly returned to baseline following bacterial elimination in SrtA/SCPA co-immunized mice. Additional results showed that the survival rate of systemic challenge was significantly higher in infection experienced than in co-immunized mice, indicating that more immune elements are required for protection against systemic than mucosal GAS infection.

Background: Integrating comprehensive information on hepatocellular carcinoma (HCC) is essential to improve its early detection. We aimed to develop a model with multimodal features (MMF) using artificial intelligence (AI) approaches to enhance the performance of HCC detection. Materials and methods: A total of 1092 participants were enrolled from 16 centers. These participants were allocated into the training, internal validation, and external validation cohorts. Peripheral blood specimens were collected prospectively and subjected to mass cytometry analysis. Clinical and radiological data were obtained from electrical medical records. Various AI methods were employed to identify pertinent features and construct single-modal models with optimal performance. The XGBoost algorithm was utilized to amalgamate these models, integrating multimodal information and facilitating the development of a fusion model. Model evaluation and interpretability were demonstrated using the SHapley Additive exPlanations method. Results: We constructed the electronic health record, BioScore, RadiomicScore, and DLScore models based on clinical, radiological, and peripheral immunological features, respectively. Subsequently, these single-modal models were amalgamated to develop an all-in-one MMF model. The MMF model exhibited enhanced performance compared to models comprising only single-modal features in detecting HCC. This superiority in performance was confirmed through the internal and external validation cohorts, yielding area under the curve (AUC) values of 0.985 and 0.915, respectively. Additionally, the MMF model improved the detection ability in subpopulations of HCCs that were negative for alpha-fetoprotein and those with small size, with AUC values of 0.974 and 0.996, respectively. Conclusions: Integrating MMF improved the performance of the model for HCC detection.

Hepatocellular carcinoma (HCC) represents a major global health challenge, characterized by its complex immune microenvironment that plays a pivotal role in tumor progression and therapeutic response. Long non-coding RNAs (lncRNAs) have emerged as critical regulators of various biological processes, including gene expression and immune cell function. This review explores the multifaceted roles of lncRNAs in modulating the immune microenvironment of HCC. We discuss how lncRNAs influence the infiltration and activation of immune cells, shape cytokine profiles, and regulate immune checkpoint molecules, thereby affecting the tumor’s immunogenicity and response to immunotherapy. Furthermore, we highlight specific lncRNAs implicated in immune evasion mechanisms and their potential as biomarkers and therapeutic targets. By elucidating the intricate interplay between lncRNAs and the immune landscape in HCC, this review aims to provide insights into novel strategies for enhancing immunotherapeutic efficacy and improving patient outcomes.

Background: Recently, researchers have found that the tumour microenvironment plays an important role in tumours. We aimed to investigate the effects of plasma lipids on the prognosis of patients with pancreatic cancer and the infiltration of CD8+ T lymphocytes in tumour tissue.Methods: We enrolled patients with pancreatic ductal adenocarcinoma (PDAC) who underwent pancreatic surgery between 2012 and 2021. Clinical pathological data were recorded; total cholesterol (TC) and triglyceride (TG) levels were measured; and tissue samples were collected. A tissue microarray was generated using collected tissue samples, and CD8 staining was performed to determine immunoreactive scores (IRSs). The correlations of TC and TG levels with clinicopathological characteristics and prognosis were analysed. Finally, the correlations of TC and TG levels with CD8+ T‐cell infiltration were analysed.Results: A total of 90 eligible PDAC patients were included. TC levels were significantly correlated with tumour grade and lymph node metastasis, and TG levels were significantly correlated with perineural invasion. The Kaplan–Meier survival analysis results indicated that the prognosis in the high TC group was significantly worse than that in the low TC group, and the prognosis in the high TG group was significantly worse than that in the low TG group. Cox multivariate analysis indicated that TC was an independent indicator of poor prognosis of pancreatic cancer patients after surgery. Spearman correlation analysis indicated that there were significant negative correlations between CD8 IRS and TC and between CD8 IRS and TG.Conclusions: TC and TG levels are significantly related to the prognosis of pancreatic cancer patients. They may be associated with tumour progression to higher grades, lymph node metastasis and/or nerve invasion. More importantly, TC and TG may reduce CD8+ T lymphocyte infiltration into pancreatic cancer tissue, affecting antitumour immune functions and immunotherapy efficacy.

Proposing nanotechnology-based minimally invasive techniques to provide a new opportunity for pancreatic carcinoma treatment.