Dear Editor, The COVID-19 pandemic,caused by the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),has resulted in millions of deaths worldwide.It poses significant challenges in the management of immu-nocompromised patients,particularly people with HIV(PWH).Whether PWH are more vulnerable to COVID with more adverse outcomes has been extensively studied,but the findings are inconsistent.Many cohort studies and meta-analyses support that PWH have a higher risk of SARS-CoV-2 infection and more severe COVID-19 outcomes(Bertagnolio et al.,2022;Ssentongo et al.,2021).

Oral squamous cell carcinoma (OSCC), a significant type of head and neck cancer, has witnessed increasing incidence and mortality rates. Immune-related genes (IRGs) and metabolic-related genes (MRGs) play essential roles in the pathogenesis, metastasis, and progression of OSCC. This study exploited data from The Cancer Genome Atlas (TCGA) to identify IRGs and MRGs related to OSCC through differential analysis. Univariate Cox analysis was utilized to determine immune-metabolic-related genes (IMRGs) associated with patient prognosis. A prognostic model for OSCC was constructed using Lasso-Cox regression and subsequently validated with datasets from the Gene Expression Omnibus (GEO). Non-Negative Matrix Factorization (NMF) clustering identified three molecular subtypes of OSCC, among which the C2 subtype showed better overall survival (OS) and progression-free survival (PFS). A prognostic model based on nine IMRGs was developed to categorize OSCC patients into high- and low-risk groups, with the low-risk group demonstrating significantly longer OS in both training and testing cohorts. The model showed strong predictive capabilities, and the risk score served as an independent prognostic factor. Additionally, expression levels of programmed death 1 (PD1) and cytotoxic T-lymphocyte-associated antigen 4 (CTLA4) differed between the risk groups. Gene Set Enrichment Analysis (GSEA) indicated distinct enriched pathways between high-risk and low-risk groups, highlighting the crucial roles of immune and metabolic processes in OSCC. The nine IMRGs prognostic model presented excellent predictive performance and has potential for clinical application.

AIM:Guanylate-binding protein 5 (GBP5) is an interferon (IFN)-inducible GTPase that plays a crucial role in the cell-autonomous immune response against microbial infections. In this study, we investigated the immunoregulatory role of GBP5 in the pathogenesis of dental pulpitis.METHODOLOGY:Gene-set enrichment analysis (GSEA) was utilized to evaluate the IFN-γ signalling pathway, and the differential expression of GBP mRNA in normal versus inflamed dental pulp tissues was screened, based on Gene Expression Omnibus (GEO) datasets associated with pulpitis. Both normal pulp tissues and inflamed pulp tissues were used for experiments. The expression of IFNs and GBPs was determined by qRT-PCR. Immunoblotting and double immunofluorescence were performed to examine the cellular localization of GBP5 in dental pulp tissues. For the functional studies, IFN-γ priming or lentivirus vector-delivered shRNA was used to, respectively, overexpress or knock down endogenous GBP5 expression in human dental pulp stem cells (HDPSCs). Subsequently, LPS was used to stimulate HDPSCs (overexpressing or with knocked-down GBP5) to establish an in vitro model of inflammation. qRT-PCR and ELISA were employed to examine the expression of proinflammatory cytokines (IL-6, IL-8 and IL-1β) and cyclooxygenase 2 (COX2). Every experiment has three times of biological replicates and three technical replicates, respectively. Statistical analysis was performed using the Student's t-test and one-way ANOVA, and a p-value of <.05 was considered statistically significant.RESULTS:GSEA analysis based on the GEO dataset revealed a significant activation of the IFN-γ signalling pathway in the human pulpitis group. Among the human GBPs evaluated, GBP5 was selectively upregulated in inflamed dental pulp tissues and predominantly expressed in dental pulp cells. In vitro experiments demonstrated that IFN-γ robustly induced the expression of GBP5 in HDPSCs. Knockdown of GBP5 expression in HDPSCs significantly amplified the LPS-induced upregulation of inflammatory mediators (IL-6, IL-8, IL-1β and COX2) both with and without IFN-γ priming.CONCLUSION:Our findings demonstrated that GBP5 partook in the pathogenesis of dental pulpitis. The involvement of GBP5 in pulpitis appeared to coordinate the regulation of inflammatory cytokines. Knockdown of GBP5 contributed to the exacerbation of LPS-mediated inflammation.

IFN-γ is crucial in induction of inducible cell-autonomous immunity, and IFN-γ signaling pathway is activated in pulpitis. Guanylate-binding proteins (GBPs) are a family of IFN-inducible GTPases and could utilize autophagy or pyroptosis to mitigate infection. GBP5 is abundantly expressed in inflamed pulp and human dental pulp cells (HDPCs). Therefore, we hypothesize that GBP5 in HDPCs exerts an immune-regulatory role in defending against bacterium infection. Fusobacterium nucleatum (F. nucleatum) was used to infect HDPCs, and immunoblotting and qRT-PCR were used to detect pyroptosis and autophagy. Pharmacological or genetic approaches were used to enhance or knock down GBP5 expression in HDPCs. Blood agar plate counting and immunoblotting were used to observe bacteria clearance effect and activation of autophagy. Student’s t-test and one-way ANOVA were individually used for comparisons between two and multiple groups. Statistical significance was set at P < 0.05. Following F. nucleatum infection in HDPCs, the autophagy marker LC3B was significantly upregulated while the mRNA and protein expression levels of p62 were increased. IFN-γ priming significantly inhibited the intracellular survival of F. nucleatum and enhanced the autophagic activity of HDPCs. GBP5 overexpression significantly increased the efficiency of HDPCs in clearing intracellular F. nucleatum and activated autophagic flux in HDPCs, while downregulating GBP5 in HDPCs suppressed autophagic flux. IFN-γ-mediated GBP5 overexpression in HDPCs during F. nucleatum infection exerts an anti-microbial function through autophagy activation.

Background Due to the limited clinical treatment options for clear cell renal cell carcinoma (ccRCC), this study aimed to explore the molecular mechanisms underlying ccRCC and identify potential therapeutic targets. Methods A series of bioinformatics techniques were utilized. Differentially expressed genes were identified from the Gene Expression Omnibus (GEO) dataset. Weighted gene co-expression network analysis (WGCNA) was employed to isolate relevant gene modules. Least absolute shrinkage and selection operator regression was applied to determine potential target genes, which were subsequently validated in the The Cancer Genome Atlas Program (TCGA) dataset. Multivariate Cox proportional hazards model analysis was conducted. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed on intersection genes. The relationship between genes and immune cells was explored. Dual verification using GEO and TCGA data was carried out to screen genes. Results WGCNA was utilized to identify relevant gene modules. This led to the discovery of 236 differentially expressed genes, 193 candidate hub intersection genes, and 12 potential target genes. The AIF1L gene showed statistical differences, with higher expression in some samples. Enrichment analysis revealed these genes' implications in renal tumors. Twelve ccRCC-related genes were identified, having diagnostic value and correlations with immune cells. Through dual verification, five genes were screened out and AIF1L in ccRCC had unique characteristics. Clinical correlation analysis suggested it might act as a suppressor gene. Differences in the tumor microenvironment were observed between AIF1L high- and low-expression groups. Conclusion This study on ccRCC presented notable findings. The combination of data from different datasets offered a comprehensive understanding of ccRCC-related genes. AIF1L showed promise. this finding provides a foundation and direction for future research on ccRCC's molecular mechanisms and potential therapeutic strategies.

Various in vitro models using primary and established 2- and 3-dimensional cultures, multicellular tumor spheroids, standardized tumor slice cultures, tumor organoids, and microfluidic systems obtained from tumor lesions/biopsies of head and neck cancer (HNC) have been employed for exploring and monitoring treatment options. All of these in vitro models are to a different degree able to capture the diversity of tumors, recapitulate the disease genetically, histologically, and functionally and retain their tumorigenic potential upon xenotransplantation. The models were used for the characterization of the malignant features of the tumors and for in vitro screens of drugs approved for the treatment of HNC, including chemotherapy and radiotherapy as well as recently developed targeted therapies and immunotherapies, or for novel treatments not yet licensed for these tumor entities. The implementation of the best suitable model will enlarge our knowledge of the oncogenic properties of HNC, expand the drug repertoire and help to develop individually tailored treatment strategies resulting in the translation of these findings into the clinic. This review summarizes the different approaches using preclinical in vitro systems with their advantages and disadvantages and their implementation as preclinical platforms to predict disease course, evaluate biomarkers and test therapy efficacy.

Nucleolar and Spindle Associated Protein 1 (NUSAP1), a microtubule-associated protein, plays a critical role in maintaining spindle assembly and function. However, its clinical value and biological function in breast cancer have yet to be fully clarified. In the current study, the expression profile, prognostic value, genetic alterations of NUSAP1 were analyzed using Oncomine, UALCAN, HPA, bc-GenExMiner, Kaplan-Meier Plotter, and cBioPortal, besides, its correlation with tumor immune cell infiltration was explored via TIMER. Furthermore, enrichment analyses, protein-protein interaction, co-expression genes, and hub genes (KIF20A, BUB1, CDC20, CCNB2, BIRC5, MELK, KIF11, KIF23, TTK, MKI67) were performed using DAVID, STRING, LinkedOmics, and Cytoscape. Notably, NUSAP1 expression was upregulated in breast cancer, and was significantly correlated with clinicopathological features. High expression of NUSAP1 predicted a poor overall survival, relapse-free survival, distant metastases-free survival, post-progression survival, and disease-free survival. NUSAP1 was correlated with the infiltration of B cells, CD8+ T cells, neutrophil and dendritic cells, and the marker sets of monocytes, tumor-associated macrophages, M1 macrophages, M2 macrophages, dendritic cells, T cell exhaustion, regulatory T cells. Enrichment analyses showed NUSAP1 played an important role in the mitotic nuclear division, microtubule binding, nucleoplasm, and cell cycle. These findings confirmed NUSAP1 as a promising diagnostic biomarker and therapeutic target in human breast cancer.

The non-classical human leukocyte antigen (HLA)-G exerts immune-suppressive properties modulating both NK and T cell responses. While it is physiologically expressed at the maternal–fetal interface and in immune-privileged organs, HLA-G expression is found in tumors and in virus-infected cells. So far, there exists little information about the role of HLA-G and its interplay with immune cells in biopsies, surgical specimen or autopsy tissues of lung, kidney and/or heart muscle from SARS-CoV-2-infected patients compared to control tissues. Heterogeneous, but higher HLA-G protein expression levels were detected in lung alveolar epithelial cells of SARS-CoV-2-infected patients compared to lung epithelial cells from influenza-infected patients, but not in other organs or lung epithelia from non-viral-infected patients, which was not accompanied by high levels of SARS-CoV-2 nucleocapsid antigen and spike protein, but inversely correlated to the HLA-G-specific miRNA expression. High HLA-G expression levels not only in SARS-CoV-2-, but also in influenza-infected lung tissues were associated with a high frequency of tissue-infiltrating immune cells, but low numbers of CD8 + cells and an altered expression of hyperactivation and exhaustion markers in the lung epithelia combined with changes in the spatial distribution of macrophages and T cells. Thus, our data provide evidence for an involvement of HLA-G and HLA-G-specific miRNAs in immune escape and as suitable therapeutic targets for the treatment of SARS-CoV-2 infections.

β2-m, β2-microglobulin; CAF, cancer associated fibroblast; CSC, cancer stem cell; CTL, cytotoxic T lymphocyte; DC, dendritic cell; ECM, extracellular matrix; EGF-R, epidermal growth factor receptor; ER, endoplasmic reticulum; FDA, Food and Drug Administration; HLA, human leukocyte antigen; HNSCC, head and neck squamous cell carcinoma; HPV, human papilloma virus; ICP immune checkpoint; ICPi, immune checkpoint inhibitor; IFN, interferon; LMP, low molecular weight protein; mAb, monoclonal antibody; MDSC, myeloid-derived suppressor cell; mTOR, mammalian target of rapamycin; MSI, multispectral imaging; NK, natural killer; OS, overall survival; PBL, peripheral blood lymphocytes; PBMNC, peripheral blood mononuclear cells; PD1, programmed death receptor 1; PD-L1, programmed death ligand 1; PFS, progression-free survival; PI3K, phosphatidyl-linositol-3-kinase; R/M, recurrence and or metastatic; STAT, signal transducer and activator of transcription; TAA, tumor-associated antigen; TAM, tumor associated macrophages; TAP, transporter associated with antigen processing; TCR, T cell receptor; TIL, tumor-infiltrating lymphocyte; TLS, tertiary lymphoid structure; TME, tumor microenvironment; Treg, regulatory T cell; TSA, tumor-specific antigen; VEGF, vascular endothelial growth factor; VEGF-R, vascular endothelial growth factor receptor.

Immunotherapy has been recently approved for the treatment of relapsed and metastatic human papilloma virus (HPV) positive and negative head and neck squamous cell carcinoma (HNSCC). However, the response of patients is limited and the overall survival remains short with a low rate of long-term survivors. There exists growing evidence that complex and partially redundant immune escape mechanisms play an important role for the low efficacy of immunotherapies in this disease. These are caused by diverse complex processes characterized by (i) changes in the expression of immune modulatory molecules in tumor cells, (ii) alterations in the frequency, composition and clonal expansion of immune cell subpopulations in the tumor microenvironment and peripheral blood leading to reduced innate and adaptive immune responses, (iii) impaired homing of immune cells to the tumor site as well as (iv) the presence of immune suppressive soluble and physical factors in the tumor microenvironment. We here summarize the major immune escape strategies of HNSCC lesions, highlight pathways, and molecular targets that help to attenuate HNSCC-induced immune tolerance, affect the selection and success of immunotherapeutic approaches to overcome resistance to immunotherapy by targeting immune escape mechanisms and thus improve the HNSCC patients' outcome.

Breast carcinoma (BC) remains one of the most serious health problems. It is a heterogeneous entity, and mainly classified according to receptor status for estrogen (ER), progesterone (PR) and egf (HER2/Neu), as well as the proliferation marker ki67. Gene expression in eukaryotes is regulated at the level of both gene transcription and translation, where eukaryotic initiation factors (eIFs) are key regulators of protein biosynthesis. Aberrant translation results in an altered cellular proteome, and this clearly effects cell growth supporting tumorigenesis. The relationship between various eIFs and BC entities, as well as the related regulatory mechanisms, has meanwhile become a focus of scientific interest. Here, we give an overview on the current research state of eIF function, focusing on BC.

The purpose of this study was to find disease-associated genes and potential mechanisms in head and neck squamous cell carcinoma (HNSCC) with deoxyribonucleic acid microarrays. The gene expression profiles of GSE6791 were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were obtained with packages in R language and STRING constructed protein-protein interaction (PPI) network of the DEGs with combined score >0.8. Subsequently, module analysis of the PPI network was performed by Molecular Complex Detection plugin and functions and pathways of the hub gene in subnetwork were studied. Finally, overall survival analysis of hub genes was verified in TCGA HNSCC cohort. A total of 811 DEGs were obtained, which were mainly enriched in the terms related to extracellular matrix (ECM)-receptor interaction, ECM structural constituent, and ECM organization. A PPI network was constructed, consisting of 401 nodes and 1,254 edges and 15 hub genes with high degrees in the network. High expression of 4 genes of the 15 genes was associated with poor OS of patients in HNSCC, including PSMA7, ITGA6, ITGB4, and APP. Two significant modules were detected from the PPI network, and the enriched functions and pathways included proteasome, ECM organization, and ECM-receptor interaction. In conclusion, we propose that PSMA7, ITGA6, ITGB4, and APP may be further explored as potential biomarkers to aid HNSCC diagnosis and treatment.