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[...]in addition to ensuring the growth and spread of cancer cells, neoangiogenesis results in aberrant and hyper-permeable vessels that reduce perfusion. [...]the persistent high levels of angiogenic growth factors (AGFs), mainly VEGF, within the tumor microenvironment (TME) create a self-feeding circuit that supports a continuous hypoxic state thus allowing the generation of a hypoxic TME made by cellular stromal components, extracellular matrix (ECM) fibers, cytokines, and metabolic mediators, playing an important role in tumor development and progression. Sdcs expression correlate with markers expressed by hot tumors such as IFN-γ and can predict a better patient overall survival (OS) in hypoxic tumors. [...]Sdc-3 might represent a useful marker of immunotherapy response in solid tumors (Prieto-Fernández et al.). AGFs modulate the behavior of immune cells and, in turn, immune-mediated mechanisms regulate cells response to AGFs, making the two processes mutually interconnected. [...]AGFs produced in the hypoxic TME, create a tolerogenic setting that alters the normal hematopoiesis, thus favoring the expansion and recruitment of immature myeloid cells and promoting their functional exhaustion. [...]the hypoxia-VEGF axis can also promote the presence of terminally exhausted CD8+ (exhCD8) T cells that under hypoxic conditions secrete VEGF, which in turn, increases the persistent expression of immune checkpoint inhibitory (ICIs) molecules, including PD-1, CTLA-4, and TIM-3. [...]targeting the mutual regulation between hypoxia, AGFs and immunosuppression can help to optimize the synergistic therapeutic combinations for improving the efficacy of anticancer treatments (Bannoud et al.).

Newly growing evidence highlights the essential role that epitranscriptomic marks play in the development of many cancers; however, little is known about the role and implications of altered epitranscriptome deposition in prostate cancer. Here, we show that the transfer RNA N 7 -methylguanosine (m 7 G) transferase METTL1 is highly expressed in primary and advanced prostate tumours. Mechanistically, we find that METTL1 depletion causes the loss of m 7 G tRNA methylation and promotes the biogenesis of a novel class of small non-coding RNAs derived from 5'tRNA fragments. 5'tRNA-derived small RNAs steer translation control to favour the synthesis of key regulators of tumour growth suppression, interferon pathway, and immune effectors. Knockdown of Mettl1 in prostate cancer preclinical models increases intratumoural infiltration of pro-inflammatory immune cells and enhances responses to immunotherapy. Collectively, our findings reveal a therapeutically actionable role of METTL1-directed m 7 G tRNA methylation in cancer cell translation control and tumour biology.

Cancer immunotherapy is an evolving field of research. Cytokines have been conceptualized as an anticancer therapy for longer than most other cancer immunotherapy modalities. Yet, to date, only two cytokines are FDA-approved: IFN-α and IL-2. Despite the initial breakthrough, both agents have been superseded by other, more efficacious agents such as immune checkpoint inhibitors. Several issues persist with cytokine-based cancer therapies; these are broadly categorised into a) high toxicity and b) low efficacy. Despite the only moderate benefits with early cytokine-based cancer therapies, advances in molecular engineering, genomics, and molecular analysis hold promise to optimise and reinstate cytokine-based therapies in future clinical practice. This review considers five important concepts for the successful clinical application of cytokine-based cancer therapies including: (i) improving pharmacokinetics and pharmacodynamics, (ii) improving local administration strategies, (iii) understanding context-dependent interactions in the tumour-microenvironment, (iv) elucidating the role of genetic polymorphisms, and (v) optimising combination therapies. IL-10 has been the focus of attention in recent years and is discussed herein as an example.

Cancer-associated fibroblasts (CAFs) are a heterogeneous cell population recognized as a key component of the tumour microenvironment (TME). Cancer-associated fibroblasts are known to play an important role in maintaining and remodelling the extracellular matrix (ECM) in the tumour stroma, supporting cancer progression and inhibiting the immune system’s response against cancer cells. This review aims to summarize the immunomodulatory roles of CAFs, particularly focussing on their T-cell suppressive effects. Cancer-associated fibroblasts have several ways by which they can affect the tumour’s immune microenvironment (TIME). For example, their interactions with macrophages and dendritic cells (DCs) create an immunosuppressive milieu that can indirectly affect T-cell anticancer immunity and enable immune evasion. In addition, a number of recent studies have confirmed CAF-mediated direct suppressive effects on T-cell anticancer capacity through ECM remodelling, promoting the expression of immune checkpoints, cytokine secretion and the release of extracellular vesicles. The consequential impact of CAFs on T-cell function is then reflected in affecting T-cell proliferation and apoptosis, migration and infiltration, differentiation and exhaustion. Emerging evidence highlights the existence of specific CAF subsets with distinct capabilities to modulate the immune landscape of TME in various cancers, suggesting the possibility of their exploitation as possible prognostic biomarkers and therapeutic targets.

BackgroundMetabolic reprogramming is an emerging hallmark that influences the tumour microenvironment (TME) by regulating the behavior of cancer cells and immune cells. The relationship between metabolism and immunity remains elusive. The purpose of this study was to explore the predictive value of immune- and metabolism-related genes in hepatocellular carcinoma (HCC) and their intricate interplay with TME.MethodsWe established the immune- and metabolism-related signature (IMRPS) based on the LIHC cohort from The Cancer Genome Atlas (TCGA) dataset. Kaplan–Meier analysis, receiver operating characteristic (ROC) curve analysis and Cox regression analysis confirmed the prognostic value of IMRPS. We investigated differences in immune cell infiltration, clinical features, and therapeutic response between risk groups. The quantitative real-time PCR (qPCR) was used to confirm the expression of signature genes. Immunohistochemical staining was performed to evaluate immune infiltration features in HCC tissue samples. We conducted cell experiments including gene knockout, cell counting kit-8 (CCK-8), and flow cytometry to explore the role of the IMRPS key gene UCK2 in HCC. RNA-seq was used to further investigate the potential underlying mechanism involved.ResultsThe IMRPS, composed of four genes, SMS, UCK2, PFKFB4 and MAPT, exhibited significant correlations with survival, immune cell infiltration, clinical features, immune checkpoints and therapeutic response. The IMRPS was shown to be an excellent predictor of HCC prognosis. It could stratify patients appropriately and characterize the TME accurately. The high-risk HCC group exhibited an immunosuppressive microenvironment with abundant M2-like macrophage infiltration, which was confirmed by the immunohistochemistry results. The results of qPCR revealed that the expression of signature genes in 20 HCC tissues was significantly greater than that in adjacent normal tissues. After the key gene UCK2 was knocked out, the proliferation of the Huh7 cell line was significantly inhibited, and monocyte-derived macrophages polarized towards an M1-like phenotype in the coculture system. RNA-seq and GSEA suggested that the phenotypes were closely related to the negative regulation of growth and regulation of macrophage chemotaxis.ConclusionsThis study established a new IMRS for the accurate prediction of patient prognosis and the TME, which is also helpful for identifying new targets for the treatment of HCC.

Tumours are complex systems formed by cellular (malignant, immune, and endothelial cells, fibroblasts) and acellular components (extracellular matrix (ECM) constituents and secreted factors). A close interplay between these factors, collectively called the tumour microenvironment, is required to respond appropriately to external cues and to determine the treatment outcome. Cold plasma (here referred as ‘plasma’) is an emerging anticancer technology that generates a unique cocktail of reactive oxygen and nitrogen species to eliminate cancerous cells via multiple mechanisms of action. While plasma is currently regarded as a local therapy, it can also modulate the mechanisms of cell-to-cell and cell-to-ECM communication, which could facilitate the propagation of its effect in tissue and distant sites. However, it is still largely unknown how the physical interactions occurring between cells and/or the ECM in the tumour microenvironment affect the plasma therapy outcome. In this review, we discuss the effect of plasma on cell-to-cell and cell-to-ECM communication in the context of the tumour microenvironment and suggest new avenues of research to advance our knowledge in the field. Furthermore, we revise the relevant state-of-the-art in three-dimensional in vitro models that could be used to analyse cell-to-cell and cell-to-ECM communication and further strengthen our understanding of the effect of plasma in solid tumours.

Cervical cancer (CC) is a leading cause of cancer-related mortality among women and is strongly associated with persistent infection by high-risk human papillomavirus (HR-HPV), particularly the HPV16 subtype. Existing detection methods have limitations in meeting clinical requirements. This study aims to identify biomarkers that can aid in the staging and prognosis of cervical cancer. Cervical epithelial exfoliated cell samples were collected from three groups: HPV16-negative normal cervix, HPV16-positive normal cervix, and HPV16-positive cervical cancer. Differential expression proteins (DEPs) were identified using TMT-LC–MS/MS technology, and their associations with tumor-infiltrating lymphocytes (TILs) and immune regulatory molecules were analyzed. Leukocyte-specific protein 1 (LSP1), an intracellular F-actin-binding protein predominantly expressed in macrophages, neutrophils, B cells, and T cells, was identified as a potential biomarker. The expression levels of LSP1 were evaluated and validated using the Human Protein Atlas (HPA) database, immunohistochemistry (IHC), Western blotting (WB), and real-time quantitative PCR (RT-qPCR). Multiplex fluorescence immunohistochemistry (mIHC) was employed to assess the co-localization of LSP1 with CD4 + and CD8 + T cells. Results indicated that both protein and mRNA levels of LSP1 were significantly elevated in cervical cancer tissues compared to adjacent non-tumor tissues. Notably, LSP1 expression was higher in early-stage cervical cancer (Stage IB) than in advanced-stage disease (Stage IIIC). Furthermore, LSP1 was predominantly localized in CD4 + and CD8 + T cells with low TIM-3 expression. Analysis of public databases (GEPIA, TIMER2.0, and TISIDB) revealed that higher LSP1 mRNA levels correlated with better patient outcomes. LSP1 expression was positively associated with the abundance of major TILs and immune regulatory molecules, particularly activated B cells, CD8 + T cells, and CD4 + T cells, while negatively correlated with M2 macrophages and myeloid-derived suppressor cells. These findings indicate that the expression levels of LSP1 in cervical tissues are correlated with cancer staging and patient prognosis, potentially reflecting both tumor immune infiltration and T-cell exhaustion within the tumor microenvironment (TME).

: Matrix metalloproteinases (MMPs) are involved in many processes of tumour progression and invasion. However, few studies have analysed the effects of MMP expression patterns on endometrial cancer (EC) development from the perspective of the tumour microenvironment (TME). we quantified MMP expression in individual by constructing an MMP score and found MMP score effectively predict the prognosis of EC patients. : MMPs expression profiles were determined based on the differential expression of 12 MMP-related regulators. Principal component analysis (PCA) was used to construct an MMP scoring system which can quantify the MMPs expression patterns individually of EC patients. Kaplan-Meier analysis, the log-rank test, and time-dependent receiver operating characteristic (ROC) curve analysis were used to evaluate the value of MMPs expression in predicting prognosis. Single-cell RNA sequencing (scRNA-seq) dataset was used to verify correlation between MMPs and progression of EC. Gene Ontology (GO) analysis was used to investigate the pathways and functions underlying MMPs expression. Tumour immune dysfunction, exclusion prediction, and pharmacotherapy response analyses were performed to assess the potential response to pharmacotherapy based on MMPs patterns. : We downloaded the MMPs expression data, somatic mutation data and corresponding clinical information of EC patients from the TCGA website and ICGC portal. Based on the MMP-related differentially expressed genes (DEGs), the MMP score was constructed, and EC patients were divided into high and low MMP score groups. There was a positive correlation between MMP score and prognosis of EC patients. Patients with high MMP scores had better prognosis, more abundant immune cell infiltration and stronger antitumoor immunity. Although prognosis is worse with the lower group than the high, patients with low MMP score had better response to immunotherapy, which means they could prolong the survival time through Immunological checkpoint blockade (ICB) therapy. scRNA-seq analysis identified significant heterogeneity between MMP score and classical pathways in EC. : Our work indicates that the MMP score could be a potential tool to evaluate MMP expression patterns, immune cell infiltration, response to pharmacotherapy, clinicopathological features, and survival outcomes in EC. This will provide the more effective guide to select immunotherapeutic strategies of EC in the future.

Three-dimensional (3D) cancer models are revolutionising research, allowing for the recapitulation of an in vivo-like response through the use of an in vitro system, which is more complex and physiologically relevant than traditional monolayer cultures. Cancers such as ovarian (OvCa) are prone to developing resistance, are often lethal, and stand to benefit greatly from the enhanced modelling emulated by 3D cultures. However, the current models often fall short of the predicted response, where reproducibility is limited owing to the lack of standardised methodology and established protocols. This meta-analysis aims to assess the current scope of 3D OvCa models and the differences in the genetic profiles presented by a vast array of 3D cultures. An analysis of the literature (Pubmed.gov) spanning 2012–2022 was used to identify studies with paired data of 3D and 2D monolayer counterparts in addition to RNA sequencing and microarray data. From the data, 19 cell lines were found to show differential regulation in their gene expression profiles depending on the bio-scaffold (i.e., agarose, collagen, or Matrigel) compared to 2D cell cultures. The top genes differentially expressed in 2D vs. 3D included C3, CXCL1, 2, and 8, IL1B, SLP1, FN1, IL6, DDIT4, PI3, LAMC2, CCL20, MMP1, IFI27, CFB, and ANGPTL4. The top enriched gene sets for 2D vs. 3D included IFN-α and IFN-γ response, TNF-α signalling, IL-6-JAK-STAT3 signalling, angiogenesis, hedgehog signalling, apoptosis, epithelial–mesenchymal transition, hypoxia, and inflammatory response. Our transversal comparison of numerous scaffolds allowed us to highlight the variability that can be induced by these scaffolds in the transcriptional landscape and identify key genes and biological processes that are hallmarks of cancer cells grown in 3D cultures. Future studies are needed to identify which is the most appropriate in vitro/preclinical model to study tumour microenvironments.

Glioblastoma (GBM) is the most common primary malignant brain tumour, and it confers a dismal prognosis despite intensive multimodal treatments. Whilst historically, research has focussed on the evolution of GBM tumour cells themselves, there is growing recognition of the importance of studying the tumour microenvironment (TME). Improved characterisation of the interaction between GBM cells and the TME has led to a better understanding of therapeutic resistance and the identification of potential targets to block these escape mechanisms. This review describes the network of cells within the TME and proposes treatment strategies for simultaneously targeting GBM cells, the surrounding immune cells, and the crosstalk between them.