The Tumor Microenvironment Innately Modulates Cancer Progression

Proteoglycan-degrading enzymes engineered for enhanced tumor microenvironment interaction in renal cell carcinoma

This work optimized proteoglycan-degrading enzymes through targeted mutagenesis to enhance their interaction with the tumor microenvironment in Renal Cell Carcinoma (RCC). A comprehensive mutagenesis approach identified 60 key mutations significantly improving enzymatic activity, stability, and structural integrity. When compared to Wild Type (WT) enzyme, a remarkable increase in specific activity by 35 % (p < 0.001) and a considerable decrease in the Km values for hyaluronidases from 2.5 mM to 1.5 mM (p < 0.05), as a result of these modifications. Computational methods are then employed to analyze the active site of the enzymes to detect potential residues that may alter. These computational techniques include molecular docking and protein structure prediction. The structural models of the enzymes are created by utilizing homology modeling and crystallography. These models demonstrate the spatial arrangement of the amino acid enzymes. It also illustrated the specific mutations to improve the potential of enzymes to relate to the Extracellular Matrix (ECM) of tumors. The computational screening methods effectively predicted how the modifications impact enzyme catalytic efficiency and stability. The modified enzymes retained 85 % of the enzyme activity, while the WT retained 60 %. Thus, the modified enzymes demonstrated better thermal stability than WT. Vitro test analyses show that the proteoglycan breakdown was significantly reduced by 70 % (p < 0.001), and for effective proteoglycan breakdown, hyaluronidase concentration is needed. This work proposed a novel therapeutic approach called proteoglycan-degrading enzymes for the treatment of RCC. These proteoglycan-degrading enzymes are more stable and effective for treating RCC, as demonstrated in the outcomes. Customized proteoglycan-degrading enzymes make the therapy more effective. The effective breakdown of the tumor's ECM in RCC models establishes this customized proteoglycan-degrading enzyme. These enzymes are effective for this customized cancer treatment as they improve stability, activity, and interaction with the TME.

Neuropilin1-dependent paracrine signaling of cancer cells mediated by miRNA exosomal cargo

BACKGROUND

Neuropilin-1 (NRP1) is a transmembrane protein involved in surface receptor complexes for a variety of extracellular signals. NRP1 expression in human cancers is associated with prominent angiogenesis and advanced progression stage. However, the molecular mechanisms underlying NRP1 activity in the tumor microenvironment remain unclear. Notably, diffusible forms of NRP1 in the extracellular space have been reported, but their functional role is poorly understood.

METHODS

Extracellular vesicles (EV) were isolated from conditioned media of diverse cancer cells. The quality of exosome-enriched preparations was validated by the presence of specific markers in western blotting, as well as by light scattering and nanoparticle tracking analysis. Wound healing, transwell, and digital real-time migration assays were carried out to assess the activity of cancer cell-derived exosomes in the regulation of endothelial cells. RNA interference was applied to obtain NRP1 knock-down, and cDNA transfer to achieve its overexpression, in exosome-releasing cells. The micro-RNA profile carried by exosomes was investigated by Next Generation Sequencing. miRNA-Scope in situ hybridization was used to assess the transfer of miRNA exosome cargo to target cells, and immunofluorescence analysis revealed expression regulation of targeted proteins. miRNA activity was blocked by the use of specific antago-miRs.

RESULTS

In this study, we show that diverse human cancer cells release NRP1 embedded in exosome-like small extracellular vesicles, which mediate a previously unknown NRP1-dependent paracrine signaling mechanism regulating endothelial cell migration. By transcriptomic analysis of the cargo of NRP1-loaded exosomes, we found a significant enrichment of miR-210-3p, known to promote tumor angiogenesis. Gene knock-down and overexpression experiments demonstrated that the loading of miR-210-3p into exosomes is dependent on NRP1. Data furthermore indicate that the exosomes released through this NRP1-driven mechanism effectively transfer miR-210-3p to human endothelial cells, causing paracrine downregulation of the regulatory cue ephrin-A3 and promotion of cell migration. The mechanistic involvement of miR-210-3p in this pathway was confirmed by applying a specific antago-miR.

CONCLUSIONS

In sum, we unveiled a previously unknown NRP1-dependent paracrine signaling mechanism, mediated by the loading of pro-angiogenic miR-210-3p in exosomes released by cancer cells, which underscores the relevance of NRP1 in controlling the tumor microenvironment.

Heterogeneity in Cancer

Cancer heterogeneity is a major challenge in oncology, complicating diagnosis, prognostication, and treatment. The clinical heterogeneity of cancer, which leads to differential treatment outcomes between patients with histopathologically similar cancers, is attributable to molecular diversity manifesting through genetic, epigenetic, transcriptomic, microenvironmental, and host biology differences. Heterogeneity is observed between patients, individual metastases, and within individual lesions. This review discusses clinical implications of heterogeneity, emphasizing need for personalized approaches to overcome challenges posed by cancer's diverse presentations. Understanding of emerging molecular diagnostic and analytical techniques can provide a view into the multidimensional complexity of cancer heterogeneity. With over 90% of cancer-related deaths associated with metastasis, we additionally explore the role heterogeneity plays in treatment resistance and recurrence of metastatic lesions. Molecular insights from next-generation sequencing, single-cell transcriptomics, liquid biopsy technology, and artificial intelligence will facilitate the development of combination therapy regimens that can potentially induce lasting and even curative treatment outcomes.

Establishment of a prognostic signature and immune infiltration characteristics for uterine corpus endometrial carcinoma based on a disulfidptosis/ferroptosis-associated signature

Background

Disulfidptosis and ferroptosis are two different programmed cell death pathways, and their potential therapeutic targets have important clinical prospects. Although there is an association between the two, the role of genes associated with these two forms of cell death in the development of endometrial cancer remains unclear.

Methods

In this study, RNA sequencing (RNA-seq) and clinical data were obtained from public databases, and comprehensive analysis methods, including difference analysis, univariate Cox regression, and Least Absolute Shrinkage and Selection Operator (LASSO) analysis were used to construct a disulfidptosis/ferroptosis-related genes (DFRGs) prognostic signature. To further explore this new feature, pathway and functional analyses were performed, and the differences in gene mutation frequency and the level of immune cell infiltration between the high- and low-risk groups were studied. Finally, we validated the prognostic gene expression profile in clinical samples.

Results

We identified five optimal DFRGs that were differentially expressed and associated with the prognosis of uterine corpus endometrial carcinoma (UCEC). These genes include CDKN2A, FZD7, LCN2, ACTN4, and MYH10. Based on these DFRGs, we constructed a robust prognostic model with significantly lower overall survival in the high-risk group than in the low-risk group, with differences in tumor burden and immune invasion between the different risk groups. The expression of two key genes, ACTN4 and LCN2, was verified by immunohistochemistry and RT-qPCR.

Conclusion

This study established a clinical prognostic model associated with disulfidptosis/ferroptosis-related genes, and the expression characteristics of key genes were validated in clinical samples. The comprehensive assessment of disulfidptosis and ferroptosis provides new insights to further guide patient clinical management and personalized treatment.

Advances in understanding the role of squalene epoxidase in cancer prognosis and resistance

Recently, there has been burgeoning interest in the involvement of cholesterol metabolism in cancer. Squalene epoxidase (SQLE), as a critical rate-limiting enzyme in the cholesterol synthesis pathway, has garnered attention due to its overexpression in various cancer types, thereby significantly impacting tumor prognosis and resistance mechanisms. Firstly, SQLE contributes to unfavorable prognosis through diverse mechanisms, encompassing modulation of the PI3K/AKT signaling pathway, manipulation of the cancer microenvironment, and participation in ferroptosis. Secondly, directing efforts towards targeting SQLE, via mechanisms such as the PI3K/AKT pathway, presents promising avenues for overcoming resistance to conventional therapies such as endocrine cancer therapy, chemotherapy, immunotherapy, or radiotherapy. Moreover, the effectiveness of SQLE protein inhibitors in impeding cancer progression may either depend directly on SQLE inhibition or function through alternative pathways separate from SQLE. This mini-review offers insights into the intricate mechanisms through which SQLE affects the prognosis and resistance profiles across diverse cancer types, while succinctly elucidating the mechanisms underpinning the anticancer effects of SQLE protein inhibitors. Furthermore, this mini-review underscores the necessity for further investigations into the interplay between SQLE and cancer, proposing potential avenues for future research, with the aim of serving as a reference for exploring the mechanisms governing the role of SQLE in cancer regulation.

Uridine-cytidine kinase 2 is correlated with immune, DNA damage repair and promotion of cancer stemness in pan-cancer

Background

UCK2 (Uridine-Cytidine Kinase 2) is a promising prognostic marker for malignant tumors, but its association with immune infiltration and cancer stemness in pan-cancer remains to be fully understood. we find that gene UCK2 is closed related to RNA stemness scores (RNAss) and DNA stemness scores (DNAss), which is measured the tumor stemness. We also discover an association between UCK2 expression and immune cells by CIBERSORT algorithm, ESTIMATE algorithm and ssGSEA algorithm, especially, related to T cell, monocytes, mast cells, and macrophages. This study aims to shed light on the role and possible mechanism of UCK2 in pan-cancer.

Methods

We used the R programming language for pan-cancer bulk sequencing data analysis, which were obtained from the University of California, Santa Cruz (UCSC) datasets. UCSC database is a very useful for explore data from TCGA and other cancer genomics datasets, The data we explored at the UCK2 transcriptome level came from TCGA data in the UCSC database. We explored differential UCK2 expression between tumor and normal samples. Immunohistochemistry (IHC) was utilized to validate the expression of UCK2 in different types cancers using tumor tissue chips. The correlations of UCK2 with prognosis, genetic instability, DNA repair, cancer stem cell characteristics, and immune cell infiltration were investigated. Furthermore, single-cell datasets, acquired from the Gene Expression Omnibus (GEO) database, were used to validate the relationship between UCK2 and immune cells. GEO is a famous public genomics database supporting freely disseminates microarray data. Finally, we analyzed the correlation between UCK2 and drug sensitivity.

Results

UCK2 expression was observed to be high in most cancers and was remarkably related to the prognosis of pan-cancers. We found that the increased UCK2 expression was associated with higher genetic instability. Additionally, positive relationships were observed between UCK2 expression and mismatch repair genes, homologous recombination repair genes, and cancer stemness across different cancer types. There were significant correlations between UCK2 and T cells, monocytes, mast cells, and macrophages. Moreover, as expected, the immune checkpoint human leucocyte antigen (HLA) was found to be negatively related to UCK2. Similarly, UCK2 was also observed to have a negative association with major histocompatibility complex (MHC) genes. We noted that UCK2 had significant correlations with the sensitivity to various anti-cancer drug.

Conclusion

We have observed that UCK2 plays pivotal roles in prognosis and tumor immunity, and it is associated with DNA repair and cancer stemness. The UCK2 gene exhibits a strong correlation with the immune checkpoints HLA. This study highlights its potential impact on drug sensitivity.

E. coli Biomolecules Increase Glycolysis and Invasive Potential in Lung Adenocarcinoma

Introduction: Recent studies have discovered that lung cancer subtypes possess distinct microbiome profiles within their tumor microenvironment. Additionally, the tumor-associated microbiome exhibits altered bacterial pathways, suggesting that certain bacterial families are more capable of facilitating tumor progression than others. We hypothesize that there exists a crosstalk between lung adenocarcinoma (LUAD) cells and bacterial cells. Methods and Materials: RNA sequencing (RNA-seq) was performed on LUAD cell lines to explore the paracrine signaling effects of bacterial biomolecules. Based on our RNA-seq data, we investigated glycolysis by measuring glucose uptake and lactate production, invasive potential through invasion assays, and epithelial-to-mesenchymal transition (EMT) markers. Since lipopolysaccharides (LPS), abundant on the cell walls of Gram-negative bacteria, can activate toll-like receptor 4 (TLR4), we inhibited TLR4 with C34 to assess its relationship with the observed phenotypic changes. To identify the bacterial biomolecules responsible for these changes, we treated the media with RNAse enzyme, charcoal or dialyzed away molecules larger than 3 kDa. Results and Discussion: RNA-seq revealed 948 genes upregulated in the presence of E. coli biomolecules. Among these, we observed increased expression of Hexokinase II (HKII), JUN proto-oncogene, and Snail Family Transcriptional Repressor 1. We verified the elevation of glycolytic enzymes through Western blot and saw elevation of 2-deoxyglucose uptake and lactate production in LUAD cell lines incubated in E. coli biomolecules. In addition to E. coli elevating glycolysis in LUAD cell lines, E. coli exposure enhanced invasive potential as demonstrated by Boyden chamber assays. Notably, inhibition of TLR4 did not reduce the impact of E. coli biomolecules on glycolysis or the invasive potential of LUAD. Modulating the E. coli-supplemented media with RNAse enzyme or dextran-coated charcoal or using a spin column to remove biomolecules smaller than 3 kDa resulted in changes in HKII and Claudin protein expression. These findings suggest a direct relationship between E. coli and LUAD, wherein several cancer hallmarks are upregulated. Future studies should further investigate these bacterial biomolecules and their role in the tumor microenvironment to fully understand the impact of microbial shifts on cancer progression.

LncRNAs in serum-derived extracellular vesicles are potential biomarker and correlated with immune infiltration in gastric cancer

Background

Long non-coding RNAs (lncRNAs) in extracellular vesicles (EVs) have been confirmed as effective non-invasive biomarkers for multiple diseases. However, their expression and clinical value in gastric cancer (GC) remain poorly understood.

Materials and methods

Serum EV RNA was extracted from four patients with GC and four healthy controls, followed by high-throughput RNA sequencing. LncRNAs were further validated in training and validation sets using quantitative real-time reverse transcription polymerase chain reaction.

Results

A total of 37,684 lncRNAs were obtained, and 10 lncRNAs were selected based on the criteria (P < 0.05 and |log2FoldChange| ≥1). Serum EV lncRNA RMRP, RPPH1, and linc-ROR were significantly higher in patients with GC than in those with chronic gastritis, atypical hyperplasia, or healthy control (all P < 0.05). Three lncRNAs were also significantly correlated with tumor diameter, lymphatic metastasis, distal metastasis, and TNM stage (all P < 0.05). The area under the curve (AUC) values for lncRNA RMRP, RPPH1, and linc-ROR were 0.727, 0.774, and 0.811, respectively. Corresponding sensitivity and specificity were 63.4% and 85.4%, 50.7% and 89.6%, and 78.5% and 66.7%. The combination of these three lncRNAs with carcinoembryonic antigen (CEA) yielded an AUC of 0.909, with a sensitivity and specificity of 83.3% each. Furthermore, high EV linc-ROR and RMRP expression levels were associated with worse disease-free survival and overall survival (OS). Univariate and multivariate Cox regression analyses confirmed that linc-ROR was the only independent prognostic factor for GC. Finally, the lncRNA-miRNA-mRNA network showed that three lncRNAs were predicted to interact with 15 miRNAs and 69 mRNAs. In addition, lncRNA RMRP and linc-ROR were correlated with immune cell infiltration, including neutrophils, central memory CD4 T cells, macrophage, and natural kill T cells.

Conclusion

EV lncRNAs are prospective biomarker and correlated with immune cell infiltration in GC. It provides a foundation for the development of serum EV-targeted novel biomarkers and immunotherapy targets of GC.

Immunotherapy of osteosarcoma based on immune microenvironment modulation

Osteosarcoma is a highly malignant tumor with unsatisfactory therapeutic outcomes achieved by chemotherapy, radiotherapy, and surgery. As an emerging oncological treatment, immunotherapy has shown potential in the clinical management of many tumors but has a poor response rate in osteosarcoma. The immunosuppressive microenvironment in osteosarcoma is the main reason for the ineffectiveness of immunotherapy, in which the low immune response rate of immune effector cells and the high activation of immunosuppressive cells contribute to this outcome. Therefore, modulating the function of the immune microenvironment in osteosarcoma is expected to remodel the immunosuppressive microenvironment of osteosarcoma and enhance the efficacy of immunotherapy. This article reviews the role of immune cells in the progression of osteosarcoma, describes the corresponding regulatory tools for the characteristics of different cells to enhance the efficacy of osteosarcoma immunotherapy, and concludes the prospects and future challenges of osteosarcoma immunotherapy.

Comprehensive single-cell atlas of colorectal neuroendocrine tumors with liver metastases: unraveling tumor microenvironment heterogeneity between primary lesions and metastases

BACKGROUND

Colorectal neuroendocrine tumors with liver metastases (CRNELM) are associated with a poorer prognosis compared to their nonmetastatic counterparts. A comprehensive understanding of the tumor microenvironment (TME) heterogeneity between primary lesions (PL) and liver metastases (LM) could provide crucial insights for enhancing clinical management strategies for these patients.

METHODS

We utilized single-cell RNA sequencing to analyze fresh tissue samples from CRNELM patients, aiming to elucidate the variations in TME between PL and LM. Complementary multidimensional validation was achieved through spatial transcriptomics, bulk RNA sequencing, and multiplex immunohistochemistry/immunofluorescence.

RESULTS

Our single-cell RNA sequencing analysis revealed that LM harboured a higher proportion of CD8 + T cells, CD4 + T cells, NK cells, NKT cells, and B cells exhibiting a stress-like phenotype compared to PL. RGS5 + pericytes may play a role in the stress-like phenotype observed in immune cells within LM. MCs in PL (PL_MCs) and LM (LM_MCs) exhibit distinct activation of tumor-associated signaling pathways. Notably, COLEC11 + matrix cancer-associated fibroblasts (COLEC11_mCAFs) were found to be significantly associated with LM_MCs. Cell communication analysis unveiled potential targetable receptor-ligand interactions between COLEC11_mCAFs and LM_MCs. Multidimensional validation confirmed the prominence of the characteristic stress-like phenotypes, including HSPA6_CD8_Tstr, HSPA6_NK, and COLEC11_mCAFs in LM. Moreover, a higher abundance of COLEC11_mCAFs correlated with poorer survival rates in the neuroendocrine tumor patient cohort.

CONCLUSION

Overall, our study provides the first single-cell analysis of the cellular and molecular differences between PL and LM in CRNELM patients. We identified distinct cell subsets and receptor-ligand interactions that may drive TME discrepancies and support metastatic tumor growth. These insights highlight potential therapeutic targets and inform strategies for better managing CRNELM patients.

SERINC2-mediated serine metabolism promotes cervical cancer progression and drives T cell exhaustion

Cervical cancer remains the most prevalent gynecological malignant disease. Reprogramming tumor immune metabolism stands out as a novel promising therapeutic target. Here, we identified serine incorporator 2 (SERINC2) as a critical gene which highly expressed in cervical cancer and negatively correlated with clinical outcomes. Through functional assays, SERINC2 was determined to play a pro-tumoral role both in vivo and in vitro. Besides, the growth of cervical cancer cells was found to be largely dependent on serine in a manner influenced by SERINC2. As a serine transport associated protein, SERINC2 knockdown significantly reduced cervical cancer cells' intracellular serine level and altered the serine-associated-lipid metabolism. Immune infiltration analysis revealed that SERINC2 was negatively associated with CD8+ T cell infiltration and function. More importantly, we demonstrated a competitive relation between cancer cells and immune cells brought about by SERINC2. Mechanistically, cancer cells SERINC2 preferentially competed for micro-environmental serine over CD8+ T cells and rendered T cell exhaustion. Overall, SERINC2 remodels cancer development and serine metabolism in the tumor immune microenvironment (TIME), establishing an immunosuppressive and pro-tumoral milieu.

Exploring the Effects of Opioid-Related Drugs on the Clinical Outcome of Prostate Cancer Patients Via Integrated Bioinformatics Analysis

Opioids are the primary regimens for perioperative analgesia with controversial effects on oncological survival. The underlying mechanism remains unexplored. This study developed survival-related gene co-expression networks based on RNA-seq and clinical characteristics from TCGA cohort. Two survival-related networks were identified, and drug-induced transcriptional profiles were predicted. Immune cell infiltration algorithm, least absolute shrinkage and selection operator (LASSO) regression, and cox proportional models were executed to explore the correlation between opioid-related drugs and prostate cancer patient prognosis. The opioid receptor agonists, represented by tramadol, were evidenced for anti-survival effects on prostate cancer by facilitating the DNA replication and cell cycle, and immune cell infiltration. Conversely, opioid receptor antagonists showed pro-survival effects. A novel prognostic model containing CNIH2, MCCC1, and Gleason scores was established and validated in two independent cohorts. This study revealed opioids' effect on prostate cancer progression, and provided a novel model to predict these regulations in clinical outcomes.

Elevated expression of Golgi Transport 1B promotes the progression of cervical cancer by activating the NF-kappaB signaling pathway via interaction with TANK-Binding Kinase 1

As a preventable disease, cervical cancer (cervical squamous cell carcinoma and endocervical adenocarcinoma-CESC) remains a tumor with high morbidity and mortality worldwide, underscoring the pressing need for effective treatment strategies. This research identified Golgi transport 1B (GOLT1B) as a critical gene involved in the development of cervical cancer. Gene Expression Omnibus (GEO) datasets were investigated to determine the upregulation of GOLT1B in cervical cancer tissue compared with normal tissue. Besides, GOLT1B was found to predict poor prognosis in cervical cancer by utilizing Gene Expression Profiling Interactive Analysis (GEPIA). The functional assay indicated that GOLT1B promoted CESC viability and migration in vitro and in vivo. RNA sequencing results suggested that GOLT1B likely influenced the nuclear factor-kappaB (NF-κB) pathway. The subsequent western blot and dual luciferase reporter assay revealed the interaction between GOLT1B and TANK binding kinase 1 (TBK1), modulating the NF-κB pathway. More importantly, GOLT1B was also found to regulate immune cell infiltration, suggesting its potential role in the tumor microenvironment. In conclusion, GOLT1B promotes CESC progression via interaction with TBK1 and augmentation of NF-κB signaling-mediated cancer-associated inflammation, which provides us with a new approach to CESC target therapy.

Single-cell profiling transcriptomic reveals cellular heterogeneity and cellular crosstalk in breast cancer lymphatic node, bone, and brain metastases

Breast cancer is the most common malignant tumor in the world, and its metastasis is the main cause of death in breast cancer patients. However, the differences between primary breast cancer tissue and lymphatic node, bone, and brain metastases at the single-cell level are not fully understood. We analyzed the microenvironment heterogeneity in samples of primary breast cancer (n = 4), breast cancer lymphatic node metastasis (n = 4), breast cancer brain metastasis (n = 3), and breast cancer bone metastasis (n = 2) using single-cell sequencing data from the GEO database. The malignant epithelial cells were characterized by InferCNV algorithm. The cell-cell communication was analyzed using CellChat package. The biological function of cell subpopulations was analyzed using gene set variation analysis. The expression of STMN1 was analyzed using immunohistochemical staining. The proportion of pCAFs in breast cancer was explored using multispectral immunohistochemical staining. We identified seven cell clusters in primary and metastatic breast cancer (Lymphatic node, brain, and bone metastases) by analyzing single-cell transcriptomic profiles. T-NK and B cells dominated breast cancer with lymphatic node metastasis, whereas fibroblasts were prevalent in brain metastases and primary breast cancer. We identified five T cells (T memory, CD8 + T cells, regulatory T cells, natural killer cells, CD4 + T cells), three B cells (naïve B cells, memory B cells, plasma B cells), and five cancer-associated fibroblasts (CAFs) subpopulations (Smooth muscle cells (SMC), pericyte, antigen-presenting CAFs (apCAFs), proliferative CAFs (pCAFs), and matrix CAFs (mCAFs)). Notably. pCAFs dominated breast cancer with lymphatic node, bone, and brain metastasis. Furthermore, we identified four malignant epithelial cell subpopulations: G0, G1, G2, and G3. The G2 cell population exhibited strong invasion ability, it can differentiate into G3 with strong proliferative ability and proliferation-related G1 cell population after metastasis. Cell-cell communication demonstrated an interaction between pCAFs and metastasis-associated malignant epithelial cells. Finally, we discovered that in advanced breast cancer, the proportion of pCAF increased and was associated with a poor prognosis of breast cancer. This study elucidated the potential cellular origins and drivers of breast cancer metastases to lymphatic nodes, brain, and bone, utilizing single-cell transcriptomic profiles. Furthermore, it demonstrated that increased pCAFs were associated with advanced breast cancer and a poor prognosis.

Hirsutella sinensis Fungus Promotes CD8+ T Cell-Mediated Anti-Tumor Immunity by Affecting Tumor-Associated Macrophages-Derived CCRL2

INTRODUCTION

Hirsutella sinensis fungus (HSF)is an artificial substitute for Cordyceps sinensis and has shown promising therapeutic effects in various diseases including cancer. Previous studies have demonstrated that HSF can affect macrophage polarization and activate systemic immune response. In our preliminary experiments, we validated that HSF inhibited the proliferation of lung cancer (LC) cells, but the underlying mechanism is elusive. We intended to explore the mechanism of HSF in promoting anti-tumor immunity.

METHODS

In vivo experiments were performed to confirm inhibitory effect of HSF on LC growth, and sequencing results revealed abnormal expression of CCRL2. Knockdown and overexpression of CCRL2 were conducted to investigate its effect on macrophage polarization, and co-culture with T cells was to assay the impact of HSF+CCRL2 on CD8+ T cell activation by flow cytometry.

RESULTS

Overexpression of CCRL2 promoted macrophage polarization toward M1 and activated the proliferation and effector function of CD8+ T cells. HSF promoted CCRL2 expression and affected M1 polarization via CCRL2, which in turn affected CD8+ T cell-mediated anti-tumor immunity.

DISCUSSION

Our study demonstrated that HSF promoted macrophage M1 polarization and activated CD8+ T cells via CCRL2, thereby inhibiting the progression of LC.

Tissue-resident immune cells: from defining characteristics to roles in diseases

Tissue-resident immune cells (TRICs) are a highly heterogeneous and plastic subpopulation of immune cells that reside in lymphoid or peripheral tissues without recirculation. These cells are endowed with notably distinct capabilities, setting them apart from their circulating leukocyte counterparts. Many studies demonstrate their complex roles in both health and disease, involving the regulation of homeostasis, protection, and destruction. The advancement of tissue-resolution technologies, such as single-cell sequencing and spatiotemporal omics, provides deeper insights into the cell morphology, characteristic markers, and dynamic transcriptional profiles of TRICs. Currently, the reported TRIC population includes tissue-resident T cells, tissue-resident memory B (BRM) cells, tissue-resident innate lymphocytes, tissue-resident macrophages, tissue-resident neutrophils (TRNs), and tissue-resident mast cells, but unignorably the existence of TRNs is controversial. Previous studies focus on one of them in specific tissues or diseases, however, the origins, developmental trajectories, and intercellular cross-talks of every TRIC type are not fully summarized. In addition, a systemic overview of TRICs in disease progression and the development of parallel therapeutic strategies is lacking. Here, we describe the development and function characteristics of all TRIC types and their major roles in health and diseases. We shed light on how to harness TRICs to offer new therapeutic targets and present burning questions in this field.

Progress and prospects of the combination of BMI1-targeted therapy and immunotherapy in cervical cancer

Cervical cancer is one of the most prevalent gynecologic malignancies, posing a significant threat to women's health and survival. Despite advancements in early screening and diagnosis, which have led to cervical cancer being termed a "preventable" cancer, treatment options for advanced and recurrent cervical cancer remain limited. Consequently, identifying new therapeutic targets and treatments is crucial for advancing the research and management of cervical cancer. In recent years, targeted therapy and immunotherapy have become focal points in oncology research, offering new avenues and directions for the treatment of cancer. Preclinical studies have demonstrated that targeting BMI1 can inhibit cervical cancer progression, while immunotherapy has advanced to phase III clinical trials, showing promising results. To date, there have been no reports on the combination of BMI1-targeted therapy and immunotherapy in cervical cancer. This review, therefore, elucidates the current state of research and explores the potential and perspectives of combining targeted therapy with immunotherapy for cervical cancer.

Comprehensive analyses reveal the promising value of gasdermins as prognostic biomarkers and immunotherapeutic targets in head and neck squamous cell carcinoma

Background

In several studies of head and neck squamous cell carcinoma (HNSC), the regulation of tumorigenesis and therapeutic sensitivity by pyroptosis has been observed. However, a systematic analysis of gasdermin family members (GSDMs, including GSDMA/B/C/D/E and PJVK), which are deterministic executors of pyroptosis, has not yet been reported in HNSC.

Methods

We performed comprehensive analyses of the expression profile, prognostic value, regulatory network, and immune infiltration modulation of GSDMs in HNSC on the basis of a computational approach and bioinformatic analysis of publicly available datasets.

Results

A total of 18.65 % (94/504) of HNSC patients harbored GSDM alterations, with the most dominant type being amplification. Compared with those in normal tissues, the mRNA and protein levels of GSDMs, especially GSDMD/E, were commonly elevated in HNSC (P < 0.05). Additionally, the expression of GSDMs differed significantly between the clinicopathological subgroups of HNSC patients. Overall survival of HNSC patients benefited from increased GSDMC expression (HR = 0.67, P = 0.0053) and decreased GSDME expression (HR = 1.42, P = 0.0140). Regulatory network analysis revealed several essential biological processes associated with GSDMs, including positive regulation of cytokine production involved in the immune response. Notably, almost all infiltrating immune cells and immune checkpoints were negatively correlated with GSDMA/C/E expression and positively related to GSDMB/D and PJVK expression.

Conclusions

We indicated the potential role of GSDMs (especially GSDME) in HNSC pathogenesis, progression and response to immunotherapy, providing important evidence for further prospective studies and molecular mechanism exploration.

Integrative Analysis of Radiation-Induced Senescence-Associated Secretory Phenotype Factors in Kidney Cancer Progression

BACKGROUND

Ionizing radiation (IR) is a well-known inducer of cellular senescence and the senescence-associated secretory phenotype (SASP). SASP factors play dual roles in cancer, either promoting or inhibiting its development. This study investigates IR-induced SASP factors specifically secreted by renal cortical epithelial (RCE) cells and their role in promoting renal cell carcinoma (RCC) progression.

METHODS

Proteomic data from the SASP Atlas were analyzed to identify IR-induced factors unique to RCE cells, with subsequent evaluations performed at both the gene and protein levels. Thirty-seven proteins were identified as exclusively upregulated and secreted by senescent RCE cells. Gene expression analysis of these RCE-specific SASP factors was conducted using the Gene Expression database of Normal and Tumor tissues (GENT2) and The Cancer Genome Atlas (TCGA). To assess their prognostic relevance in RCC, the corresponding proteins were further analyzed using the Human Protein Atlas (HPA), emphasizing the relationship between SASP factor expression and RCC progression.

RESULTS

ALDH18A1 and ASPH emerged as key RCE-specific SASP factors with significant upregulation at both the gene and protein levels (Log2 ratio > 1.15, p < 0.05). These proteins are implicated in pro-cancer activities and are strongly associated with poor prognostic outcomes in RCC. Their critical roles in RCC progression underscore their potential as promising therapeutic targets for the prevention and treatment of the disease.

CONCLUSIONS

This study provides novel insights into the role of IR-induced SASP in renal carcinogenesis, marking the first identification of ALDH18A1 and ASPH as specific secreted proteins associated with tumor progression in RCC. This study suggests that ALDH18A1 and ASPH hold promise as early biomarkers for RCC and as therapeutic targets for disease prevention and treatment.

Glycosylation-Targeting Aptamer for the Feasible Construction of a Dual Aptamer-Based Plasmonic Immunosandwich Assay in Cancer Diagnostics

Fibroblast activation protein (FAP) is an important antigen in the tumor microenvironment, which plays a crucial role in promoting extracellular matrix remodeling and tumor cell metastasis. A circulating form of soluble FAP has also been identified in the serum, becoming a biomarker for pan-cancer diagnosis and prognosis. However, the current peptide substrate-based enzymatic activity detection or antibody-dependent detection methods have been hindered by insufficient selectivity and complex operations, so it is valuable to develop effective nucleic acid aptamers as FAP affinity ligands. In order to deeply explore the biomimetic recognition technology, this study proposed an elaborate aptamer screening strategy for targeting the protein characteristic structure. Taking the glycosylation of the FAP protein as a target, four FAP-specific aptamers with high performance were successfully generated. Further, using the champion aptamer as a recognition tool and combining it with ultrasensitive detection technology-surface enhanced Raman scattering (SERS), a novel dual aptamer-based sandwich sensor was constructed for the rapid determination of FAP. Due to the dual-specific recognition of the orthogonal aptamer pair, the sandwich method obviously improved the selectivity to FAP protein, with a maximum cross-reactivity of less than 8% and a quantitation limit of 100 pg/mL. It was conveniently applied in high-sensitive and high-selective detection of serum FAP in cancer patient samples. Therefore, the research of this study not only opens new access for the selection of antiglycan aptamers but also boosts the application of the FAP aptamer as a recognition tool in cancer diagnostics.

Predictive value of dendritic cell-related genes for prognosis and immunotherapy response in lung adenocarcinoma

BACKGROUND

Patients with lung adenocarcinoma (LUAD) receiving drug treatment often have an unpredictive response and there is a lack of effective methods to predict treatment outcome for patients. Dendritic cells (DCs) play a significant role in the tumor microenvironment and the DCs-related gene signature may be used to predict treatment outcome. Here, we screened for DC-related genes to construct a prognostic signature to predict prognosis and response to immunotherapy in LUAD patients.

METHODS

DC-related biological functions and genes were identified using single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing. DCs-related gene signature (DCRGS) was constructed using integrated machine learning algorithms. Expression of key genes in clinical samples was examined by real-time q-PCR. Performance of the prognostic model, DCRGS, for the prognostic evaluation, was assessed using a multiple time-dependent receiver operating characteristic (ROC) curve, the R package, "timeROC", and validated using GEO datasets.

RESULTS

Analysis of scRNA-seq data showed that there is a significant upregulation of LGALS9 expression in DCs isolated from malignant pleural effusion samples. Leveraging the Coxboost and random survival forest combination algorithm, we filtered out six DC-related genes on which a prognostic prediction model, DCRGS, was established. A high predictive capability nomogram was constructed by combining DCRGS with clinical features. We found that patients with a high-DCRGS score had immunosuppression, activated tumor-associated pathways, and elevated somatic mutational load and copy number variant load. In contrast, patients in the low-DCRGS subgroup were resistant to chemotherapy but sensitive to the CTLA-4 immune checkpoint inhibitor and targeted therapy.

CONCLUSION

We have innovatively established a deep learning-based prediction model, DCRGS, for the prediction of the prognosis of patients with LUAD. The model possesses a strong prognostic prediction performance with high accuracy and sensitivity and could be clinically useful to guide the management of LUAD. Furthermore, the findings of this study could provide an important reference for individualized clinical treatment and prognostic prediction of patients with LUAD.

Single-cell RNA sequencing elucidates cellular plasticity in esophageal small cell carcinoma following chemotherapy treatment

Small cell carcinoma of the esophagus (SCCE) is a rare and aggressively progressing malignancy that presents considerable clinical challenges.Although chemotherapy can effectively manage symptoms during the earlystages of SCCE, its long-term effectiveness is notably limited, with theunderlying mechanisms remaining largely undefined. In this study, weemployed single-cell RNA sequencing (scRNA-seq) to analyze SCCE samplesfrom a single patient both before and after chemotherapy treatment. Our analysisrevealed significant cellular plasticity and alterations in the tumormicroenvironment's cellular composition. Notably, we observed an increase intumor cell diversity coupled with reductions in T cells, B cells, and myeloid-likecells. The pre-treatment samples predominantly featured carcinoma cells in amiddle transitional state, while post-treatment samples exhibited an expandedpresence of cells in terminal, initial-to-terminal (IniTerm), and universally alteredstates. Further analysis highlighted dynamic interactions between tumor cells andimmune cells, with significant changes detected in key signaling pathways, suchas TIGIT-PVR and MDK-SDC4. This study elucidates the complex dynamics of cellplasticity in SCCE following chemotherapy, providing new insights and identifyingpotential therapeutic targets to enhance treatment efficacy.

Cancer-associated fibroblast-derived extracellular vesicles: regulators and therapeutic targets in the tumor microenvironment

Cancer-associated fibroblasts (CAFs) constitute a critical component of the tumor microenvironment (TME). CAFs can be reprogrammed by cancer cells, leading to the production of extracellular vesicles (EVs). These EVs serve as carriers for bioactive substances, including proteins, nucleic acids, and metabolic products, thereby facilitating tumor progression. CAF-derived EVs exert substantial influence on tumor cell proliferation, invasion, and metastasis, the immunological environment, and the processes of lymphangiogenesis and angiogenesis. Despite their potential as non-invasive biomarkers and therapeutic delivery vehicles, the clinical application of CAF-derived EVs is currently limited by challenges in purification and precise targeting. This review delineates the diverse roles of CAF-derived EVs in tumor growth, metastasis, and immune evasion within the TME.

Spatial heterogeneity of the hepatocellular carcinoma microenvironment determines the efficacy of immunotherapy

Hepatocellular carcinoma (HCC) remains a global health challenge owing to its widespread incidence and high mortality. HCC has a specific immune tolerance function because of its unique physiological structure, which limits the efficacy of chemotherapy, radiotherapy, and molecular targeting. In recent years, new immune approaches, including adoptive cell therapy, tumor vaccines, and oncolytic virus therapy, have shown great potential. As the efficacy of immunotherapy mainly depends on the spatial heterogeneity of the tumor immune microenvironment, it is necessary to elucidate the crosstalk between the composition of the liver cancer immune environment, from which potential therapeutic targets can be selected to provide more appropriate individualized treatment programs. The role of spatial heterogeneity of immune cells in the microenvironment of HCC in the progression and influence of immunotherapy on improving the treatment and prognosis of HCC were comprehensively analyzed, providing new inspiration for the subsequent clinical treatment of liver cancer.

Targeting immune checkpoints on myeloid cells: current status and future directions

Myeloid cells accumulate extensively in most tumors and play a critical role in immunosuppression of the tumor microenvironment (TME). Like T cells, myeloid cells also express immune checkpoint molecules, which induce the immunosuppressive phenotype of these cells. In this review, we summarize the tumor-promoting function and immune checkpoint expression of four types of myeloid cells: macrophages, neutrophils, dendritic cells, and myeloid-derived suppressor cells, which are the main components of the TME. By summarizing the research status of myeloid checkpoints, we propose that blocking immune checkpoints on myeloid cells might be an effective strategy to reverse the immunosuppressive status of the TME. Moreover, combining nanotechnology, cellular therapy, and bispecific antibodies to achieve precise targeting of myeloid immune checkpoints can help to avoid the adverse effects of systemic administration, ultimately achieving a balance between efficacy and safety in cancer therapy.

Enterocyte-like differentiation defines metabolic gene signatures of CMS3 colorectal cancers and provides therapeutic vulnerability

Colorectal cancer (CRC) is stratified into four consensus molecular subtypes (CMS1-4). CMS3 represents the metabolic subtype, but its wiring remains largely undefined. To identify the underlying tumorigenesis of CMS3, organoids derived from 16 genetically engineered mouse models are analyzed. Upon in vitro Cre-recombinase activation, transformation is established and transcriptional profiling reveals that distinct CMSs (CMS2-4) are modeled with different organoids. CMS3-like, metabolic signature-positive, organoids are induced by KRAS mutations. Interestingly, metabolic signatures are subsequently shown to result from enterocyte-like differentiation both in organoids and human cancers. Further analysis reveals carbamoyl-phosphate synthase 1 (CPS1) and sucrase-isomaltase (SI) as signature proteins. More importantly, CPS1 is crucial for de novo pyrimidine synthesis in CMS3 and its inhibition targets proliferation and stemness, facilitating enterocyte-like differentiation, while CMS2 and CMS4 models are not affected. Our data point to an enterocyte-like differentiation of CMS3 CRCs and reveal a selective vulnerability of this subtype through CPS1 inhibition.

A Highly Tumor-Permeating DNA Nanoplatform for Efficient Remodeling of Immunosuppressive Tumor Microenvironments

The immunosuppressive tumor microenvironment and limited intratumoral permeation have largely constrained the outcome of tumor therapy. Herein, we report a tailored DNA structure-based nanoplatform with striking tumor-penetrating capability for targeted remodeling of the immunosuppressive tumor microenvironment in vivo. In our design, chemo-immunomodulator (gemcitabine) can be precisely grafted on DNA sequences through a reactive oxygen species (ROS)-sensitive linker. After self-assembly, the gemcitabine-grafted DNA structure can site-specifically organize legumain-activatable melittin pro-peptide (promelittin) on each vertex for intratumoral delivery and further function as the template to load photosensitizers (methylene blue) for ROS production. The tailored DNA nanoplatform can achieve targeted accumulation, highly improved intratumoral permeation, and efficient immunogenic cell death of tumor cells by laser irradiation. Finally, the immunosuppressive tumor microenvironment can be successfully remodeled by reducing multi-type immunosuppressive cells and enhancing the infiltration of cytotoxic lymphocytes in the tumor. This rationally developed multifunctional DNA nanoplatform provides a new avenue for the development of tumor therapy.

Extrachromosomal circular DNA and their roles in cancer progression

Extrachromosomal circular DNA (eccDNA), a chromosome-independent circular DNA, has garnered significant attention due to its widespread distribution and intricate biogenesis in carcinoma. Existing research findings propose that multiple eccDNAs contribute to drug resistance in cancer treatments through complex and interrelated regulatory mechanisms. The unique structure and genetic properties of eccDNA increase tumor heterogeneity. This increased diversity is a result of eccDNA's ability to stimulate oncogene remodeling and participate in anomalous splicing processes through chimeric cyclization and the reintegration of loop DNA back into the linear genome. Such actions promote oncogene amplification and silencing. eccDNA orchestrates protein interactions and modulates protein degradation by acting as a regulatory messenger. Moreover, it plays a pivotal role in modeling the tumor microenvironment and intensifying the stemness characteristics of tumor cells. This review presented detailed information about the biogenesis, distinguishing features, and functions of eccDNA, emphasized the role and mechanisms of eccDNA during cancer treatment, and further proposed the great potential of eccDNA in inspiring novel strategies for precision cancer therapy and facilitating the discovery of prognostic biomarkers for cancer.

Tissue-resident memory T cells in diseases and therapeutic strategies

Tissue-resident memory T (TRM) cells are crucial components of the immune system that provide rapid, localized responses to recurrent pathogens at mucosal and epithelial barriers. Unlike circulating memory T cells, TRM cells are located within peripheral tissues, and they play vital roles in antiviral, antibacterial, and antitumor immunity. Their unique retention and activation mechanisms, including interactions with local epithelial cells and the expression of adhesion molecules, enable their persistence and immediate functionality in diverse tissues. Recent advances have revealed their important roles in chronic inflammation, autoimmunity, and cancer, illuminating both their protective and their pathogenic potential. This review synthesizes current knowledge on TRM cells' molecular signatures, maintenance pathways, and functional dynamics across different tissues. We also explore the interactions of TRM cells with other immune cells, such as B cells, macrophages, and dendritic cells, highlighting the complex network that underpins the efficacy of TRM cells in immune surveillance and response. Understanding the nuanced regulation of TRM cells is essential for developing targeted therapeutic strategies, including vaccines and immunotherapies, to enhance their protective roles while mitigating adverse effects. Insights into TRM cells' biology hold promise for innovative treatments for infectious diseases, cancer, and autoimmune conditions.

Integrative multi-omic and machine learning approach for prognostic stratification and therapeutic targeting in lung squamous cell carcinoma

The proliferation, metastasis, and drug resistance of cancer cells pose significant challenges to the treatment of lung squamous cell carcinoma (LUSC). However, there is a lack of optimal predictive models that can accurately forecast patient prognosis and guide the selection of targeted therapies. The extensive multi-omic data obtained from multi-level molecular biology provides a unique perspective for understanding the underlying biological characteristics of cancer, offering potential prognostic indicators and drug sensitivity biomarkers for LUSC patients. We integrated diverse datasets encompassing gene expression, DNA methylation, genomic mutations, and clinical data from LUSC patients to achieve consensus clustering using a suite of 10 multi-omics integration algorithms. Subsequently, we employed 10 commonly used machine learning algorithms, combining them into 101 unique configurations to design an optimal performing model. We then explored the characteristics of high- and low-risk LUSC patient groups in terms of the tumor microenvironment and response to immunotherapy, ultimately validating the functional roles of the model genes through in vitro experiments. Through the application of 10 clustering algorithms, we identified two prognostically relevant subtypes, with CS1 exhibiting a more favorable prognosis. We then constructed a subtype-specific machine learning model, LUSC multi-omics signature (LMS) based on seven key hub genes. Compared to previously published LUSC biomarkers, our LMS score demonstrated superior predictive performance. Patients with lower LMS scores had higher overall survival rates and better responses to immunotherapy. Notably, the high LMS group was more inclined toward "cold" tumors, characterized by immune suppression and exclusion, but drugs like dasatinib may represent promising therapeutic options for these patients. Notably, we also validated the model gene SERPINB13 through cell experiments, confirming its role as a potential oncogene influencing the progression of LUSC and as a promising therapeutic target. Our research provides new insights into refining the molecular classification of LUSC and further optimizing immunotherapy strategies.

Construction of a tumor immune microenvironment-related risk scoring model for prognosis of hepatocellular carcinoma

OBJECTIVE

This study aims to develop a prognostic model for HCC based on TME-related factors.

INTRODUCTION

Hepatocellular carcinoma (HCC) is characterized by a poor prognosis, largely due to the complex and heterogeneous interactions between stromal and immune cells within the tumor microenvironment (TME).

METHODS

Genome and transcriptome data, as well as clinical information of HCC patients, were obtained from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO). The TME score was evaluated using the "ESTIMATE" R package. Differentially expressed genes (DEGs) associated with TME phenotype were analyzed using the LIMMA R-package. Survival outcomes were compared using Kaplan-Meier curves with log-rank test and Cox proportional hazards model. Protein-Protein Interaction (PPI) networks integrated with multivariate survival and LASSO analyses were utilized to identify TME-related hub genes for a risk score model. A nomogram predicting prognosis of HCC patients was developed through four independent cohorts.

RESULTS

The TME scores showed a negative correlation with tumor progression and survival in HCC patients. We identified 50 core genes with high connectivity in the PPI network, as along with 33 key DEGs associated with survival in HCC. Intersection analysis revealed six hub genes -CXCL8, CXCL1, CCR7, IL7R, MMP9, and CD69. The risk score based on these six TME-related hub genes was significantly associated with overall survival and clinicopathological characteristics of HCC patients. Furthermore, the nomogram demonstrated its ability to discriminate HCC patients from healthy individuals using peripheral blood mononuclear cells.

CONCLUSION

We have developed a TME-related risk scoring model for HCC patients and identified six hub gene panel that serve as a potential biomarker for personalized prognosis of immunotherapy and non-invasive diagnostics of HCC.

Tumor-Infiltrating Immune Cells in Colorectal Cancer

Colorectal cancer encompasses a heterogeneous group of malignancies that differ in pathophysiological mechanisms, immune response and infiltration, therapeutic response, and clinical prognosis. Numerous studies have highlighted the clinical relevance of tumor-infiltrating immune cells among different types of colorectal tumors yet vary in cell type definitions and cell identification strategies. The distinction of immune signatures is particularly challenging when several immune subtypes are involved but crucial to identify novel intercellular mechanisms within the tumor microenvironment. In this review, we compile human and non-human studies on tumor-infiltrating immune cells and provide an overview of immune subtypes, their pathophysiological functions, and their prognostic role in colorectal cancer. We discuss how differentiating immune signatures can guide the development of immunotherapeutic targets and personalized treatment regimens. We analyzed comprehensive human protein biomarker profiles across the entire immune spectrum to improve interpretability and application of tumor studies and to ultimately enhance immunotherapy and advance precision medicine for colorectal cancer patients.

GPER1 activation by estrogenic compounds in the inflammatory profile of breast cancer cells

Breast cancer (BC) is the most frequent female neoplasm worldwide. Its establishment and development have been related to inflammatory cytokine expression. Steroid hormones such as estradiol (E2) can regulate proinflammatory cytokine secretion through interaction with its nuclear receptors. However, little is known regarding the activation of its membrane estrogen receptor (GPER1) and the inflammatory cytokine environment in BC. We have studied the synthesis and biological effects of molecules analogs to E2 for hormone replacement therapy (HRT), such as pentolame. Nevertheless, its interaction with GPER1 and the modulation of inflammatory cytokines in different BC types has been barely studied and deserves deeper investigation. In this research, the role of GPER1 in the proliferation and modulation of inflammatory cytokines involved in carcinogenesis and metastatic processes in different BC cell lines was assessed by binding to various compounds. To achieve this goal, the presence of GPER1 was identified in different BC cell lines. Subsequently, cell proliferation after exposure to E2, pentolame and GPER1 agonist, G1, was subsequently determined alone or in combination with the GPER1 antagonist, G15. Finally, the pro-inflammatory cytokine secretion derived from the supernatants of BC cells exposed to the previous treatments was also assessed. Interestingly, GPER1 activation or inhibition has significant effects on the cytokine regulation associated with invasion in BC. Notably, pentolame did not induce cell proliferation or increase the proinflammatory cytokine expression compared to E2 in BC cell lines. In addition, pentolame did not induce the presence of the cell adhesion molecule PECAM-1. In contrast, E2 treatment weakly induced the expression of PECAM-1 in MCF-7 and HCC1937 cells, and G1 treatment showed this effect only in MCF-7 cells. The results suggest that GPER1 might be a significant inflammatory modulator with angiogenic-related effects in BC cells. In addition, pentolame might represent an HRT alternative in patients with BC predisposition.

m6A methyltransferase METTL3 promotes non-small-cell lung carcinoma progression by inhibiting the RIG-I-MAVS innate immune pathway

Our experimental study showed that METTL3 was highly expressed in NSCLC cells and promoted the growth of tumor cells. METTL3 takes N6-methyladenosine (m6A) as the main means of mRNA modification to control the expression and function of RIG-I-MAVS signalling pathway. RIG-I-MAVS constitute the first line frontier in the innate immune defense of human cells. Activation of RIG-I-MAVS signaling can inhibit tumor cell growth and activate the immune microenvironment. Our experimental data reveal that lung cancer cells utilize METTL3-mediated methylation modifications to inhibit the activation of RIG-I-MAVS signaling pathway and immune responses. Our work provides new ideas for biotherapy and immunotherapy.

The role of transcription factors in the crosstalk between cancer-associated fibroblasts and tumor cells

BACKGROUND

Transcription factors (TFs) fulfill a critical role in the formation and maintenance of different cell types during the developmental process as well as disease. It is believed that cancer-associated fibroblasts (CAFs) are activation status of tissue-resident fibroblasts or derived from form other cell types via transdifferentiation or dedifferentiation. Despite a subgroup of CAFs exhibit anti-cancer effects, most of them are reported to exert effects on tumor progression, further indicating their heterogeneous origin.

AIM OF REVIEW

This review aimed to summarize and review the roles of TFs in the reciprocal crosstalk between CAFs and tumor cells, discuss the emerging mechanisms, and their roles in cell-fate decision, cellular reprogramming and advancing our understanding of the gene regulatory networks over the period of cancer initiation and progression.

KEY SCIENTIFIC CONCEPTS OF REVIEW

This manuscript delves into the key contributory factors of TFs that are involved in activating CAFs and maintaining their unique states. Additionally, it explores how TFs play a pivotal and multifaceted role in the reciprocal crosstalk between CAFs and tumor cells. This includes their involvement in processes such as epithelial-mesenchymal transition (EMT), proliferation, invasion, and metastasis, as well as metabolic reprogramming. TFs also have a role in constructing an immunosuppressive microenvironment, inducing resistance to radiation and chemotherapy, facilitating angiogenesis, and even 'educating' CAFs to support the malignancies of tumor cells. Furthermore, this manuscript delves into the current status of TF-targeted therapy and considers the future directions of TFs in conjunction with anti-CAFs therapies to address the challenges in clinical cancer treatment.

Silencing PCCA Suppresses CRC Growth and Spread by Modulating EMT and M1 Macrophage Polarization

Background: The progression and metastasis of colorectal cancer (CRC) remain major clinical challenges due to a lack of effective therapeutic targets. Our preliminary study identified the upregulation of the propionyl-CoA carboxylase alpha chain (PCCA) gene in CRC, prompting further investigation into its functional roles. Methods: Bioinformatics analysis, colorectal tumor tissues, and CRC cell lines were used to determine PCCA expression. Wound healing, Transwell, and cell counting kit-8 (CCK-8) assays were conducted to evaluate the impacts of PCCA expression on CRC cell migration, invasion, and proliferation. Western blotting was used to assess epithelial-mesenchymal transition (EMT) markers and associated signaling pathways. Mouse models, flow cytometry, and quantitative polymerase chain reaction (PCR) were performed to investigate the influences of PCCA on CRC tumor growth, lung metastasis, and macrophage polarization. Results: PCCA is highly expressed in CRC tumor tissues compared to normal tissues and is associated with a poor prognosis. Knocking down PCCA reduced CRC cell migration, invasion, and proliferation, which were associated with the upregulation of E-cadherin, the downregulation of N-cadherin, Vimentin, and Fibronectin, as well as the inactivation of the extracellular signal-regulated kinase (ERK)/glycogen synthase kinase 3 beta (GSK3β) signaling pathway. Moreover, PCCA knockdown suppressed CRC tumor growth and lung metastasis, accompanied by an increase in M1-macrophage polarization. Conclusion: Knockdown PCCA inhibits the progression and metastasis of CRC, which is associated with EMT reversion, ERK/GSK3β signaling inactivation, and M1-macrophage polarization. These findings suggest that PCCA is a potential target for controlling CRC.

Comprehensive multi-omics analysis identifies NUSAP1 as a potential prognostic and immunotherapeutic marker for lung adenocarcinoma

While NUSAP1's association with various tumors is established, its predictive value for prognosis and immunotherapy in lung adenocarcinoma (LUAD) remains unconfirmed. We analyzed Nucleolar Spindle-Associated Protein 1 (NUSAP1) gene expression in TCGA and GTEx datasets and validated it in clinicopathological tissues using qRT-PCR and immunohistochemistry. Additionally, we investigated NUSAP1's relationship with patient prognosis across TCGA and five GEO cohorts. The IMvigor210 cohort was utilized to explore NUSAP1's association with immunotherapy efficacy. Furthermore, single-cell RNA-sequencing data was used to examine the correlation between NUSAP1 and immune cell infiltration. Finally, we analyzed the relationship between NUSAP1 and m6A methylation. NUSAP1 expression was significantly elevated in tumor tissues, correlating with poorer prognosis in LUAD patients. It exhibited a significant correlation with immune cell infiltration in the tumor microenvironment, predominantly expressed in Tprolif cells. LUAD patients with heightened NUSAP1 expression may derive greater benefit from anti-PD-L1 treatment. Additionally, NUSAP1 was tightly linked with m6A methylation. Enrichment analysis revealed its association with key biological functions, including lipid metabolism and cell cycle regulation. Our comprehensive analysis underscores NUSAP1's potential as a prognostic and immunotherapeutic biomarker for LUAD, warranting further investigation.

CD8 + T-Cell-Related Genes: Deciphering Their Role in the Pancreatic Adenocarcinoma TME and Their Effect on Prognosis

BACKGROUND

Because of the unique tumor microenvironment (TME), immunotherapy and targeted therapies have shown limited efficacy in treating pancreatic adenocarcinoma (PAAD). CD8 + T cells play crucial roles in regulating the TME in PAAD; therefore, exploring the function of CD8 + T-cell-related genes (CD8RGs) in PAAD has high potential clinical value and could provide a comprehensive understanding of the microenvironment of PAAD.

METHODS

We employed the weighted gene coexpression network analysis and CIBERSORT algorithms to assess PAAD transcriptome data from The Cancer Genome Atlas (TCGA) dataset and identify modules strongly associated with CD8 + T cell infiltration. Using least absolute shrinkage and selection operator regression analysis and Kaplan-Meier curves, we developed a prognostic risk score model for patients with PAAD. We validated this model using single-cell and transcriptome datasets obtained from the Gene Expression Omnibus (GEO). We also examined the correlations between the risk score and factors such as the TME, clinical characteristics, and tumor mutation burden (TMB). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were performed on differentially expressed genes between the high- and low-risk groups. In addition, the Tumor Immune Dysfunction and Exclusion website and "pRRophetic" R package were used to predict response to immunotherapy and chemotherapy in the high- and low-risk groups, respectively. Finally, we analyzed the expressions of hub genes at the cellular level with quantitative real-time PCR.

RESULTS

A risk model based on five CD8RGs was established and validated using TCGA and GEO datasets. The low-risk group exhibited significantly longer overall and progression-free survival. A positive correlation between the TMB and the risk score was observed. The TME analysis revealed a significant correlation between the risk score and immune function, as well as immune checkpoints. The expression of hub genes was significantly correlated with the infiltration level of CD8 + T cells. The high-risk group responded better to immunotherapy, paclitaxel, cisplatin, mitomycin C, afatinib (BIBW2992), and gefitinib. In contrast, the low-risk group showed higher sensitivity to sunitinib, MK.2206, palbociclib (PD.0332991), and axitinib. Compared with that in normal pancreatic epithelial cells, the expression levels of BCL11A, PHOSPHO1, and GNG7 were significantly decreased, while those of KLK11 and VCAM1 were significantly increased in pancreatic tumor cells.

CONCLUSIONS

CD8RGs play an important role in regulating the TME of PAAD. Five hub genes-BCL11A, KLK11, GNG7, PHOSPHO1, and VCAM1-are closely associated with the prognosis of PAAD patients, providing new references for the exploration of biomarkers. Furthermore, our findings offer novel insights for clinical decision-making.

The Role of Zuo Jin Wan in Modulating the Tumor Microenvironment of Colorectal Cancer

INTRODUCTION

Traditional Chinese medicine (TCM) can modulate the immune function of tumor patients in various ways. Zuojin Wan (ZJW, a 6:1 ratio of Huang Lian and Wu Zhu Yu) can modulate the microenvironment of ulcerative colitis, but its role in regulating the colorectal cancer (CRC) microenvironment remains unclear. Exploring the role of ZJW in CRC immunomodulation may improve the antitumor effect of existing immunotherapeutic strategies.

MATERIAL AND METHODS

The active compounds of each herb in ZJW were obtained from the HIT2.0 database with literature evidence. Single-cell RNA sequencing data of CRC were obtained from published studies (PMID: 32451460, 32103181, and 32561858). Pathway enrichment was analyzed using the reactome database, and intergenic correlation analysis was performed using the corrplot R software package. ZJW-regulated gene expression was verified by RT-qPCR.

RESULTS

Huang Lian and Wu Zhu Yu contain 19 and 4 compounds, respectively. Huang Lian targets 146 proteins, and Wu Zhu Yu targets 28 proteins based on evidence from the literature. ZJW regulates a range of biological processes associated with immune function, including cytokine signaling and Toll-Like Receptor 4 (TLR4) cascade. ZJW regulates malignant CRC cells, immune cells (including T-cells, B-cells, mast cells, NK/NKT cells, and myeloid cells), and other nonimmune cells (including endothelial cells, enteric glial cells, and pericytes). We confirmed that ZJW significantly downregulated the expression of TIMP1 and MTDHin CRC cell lines.

CONCLUSIONS

ZJW regulates a range of cells in the CRC microenvironment, including malignant CRC, immune cells, and stromal cells. In CRC cell lines, downregulation of TIMP1 and MTDH by ZJW may play an important role in the immunomodulation in CRC.

Energy Metabolism Behavior and Response to Microenvironmental Factors of the Experimental Cancer Cell Models Differ from that of Actual Human Tumors

Analysis of the biochemical differences in the energy metabolism among bi-dimensional (2D) and tri-dimensional (3D) cultured cancer cell models and actual human tumors was undertaken. In 2D cancer cells, the oxidative phosphorylation (OxPhos) fluxes range is 2.5-19 nmol O2/min/mg cellular protein. Hypoxia drastically decreased OxPhos flux by 2-3 times in 2D models, similar to what occurs in mature multicellular tumor spheroids (MCTS), a representative 3D cancer cell model. However, mitochondrial protein contents and enzyme activities were significantly different between both models. Moreover, glycolytic fluxes were also significantly different between 2D and MCTS. The glycolytic flux range in 2D models is 1-34 nmol lactate/min/mg cellular protein, whereas in MCTS the range of glycolysis fluxes is 60-80 nmol lactate/min/mg cellular. In addition, sensitivity to anticancer canonical and metabolic drugs was greater in MCTS than in 2D. Actual solid human tumor samples show lower (1.6-4.5 times) OxPhos fluxes compared to normoxic 2D cancer cell cultures. These observations indicate that tridimensional organization provides a unique microenvironment affecting tumor physiology, which has not been so far faithfully reproduced by the 2D environment. Thus, the analysis of the resemblances and differences among cancer cell models undertaken in the present study raises caution on the interpretation of results derived from 2D cultured cancer cells when they are extended to clinical settings. It also raises awareness about detecting which biological and environmental factors are missing in 2D and 3D cancer cell models to be able to reproduce the actual human tumor behavior.

Analysis of the role of IL-1 family and related genes in head and neck squamous cell carcinoma

OBJECTIVE

The Interleukin-1 (IL-1) family plays an important regulatory role in the development of tumors, but its function is still unclear in head and neck squamous cell carcinoma (HNSCC). Analyzing the IL-1 family can help to understand the tumor mechanism.

METHODS

Using GEPIA2, UALCAN, cBioprotocol and HPA databases, the IL-1 family and related genes (IL-1α, IL-1β, IL1RN, IL1R1, IL1R2, IL1RL1, IL1RL2, IL1RAP, IL1RAPL1, IL1RAPL2, IL1F10, IL18, IL18BP, IL18R1, IL18RAP, IL36A, IL36B, IL36G, IL36RN, IL33, IL37, SIGIRR, CASP1, AIM2) were analyzed for their expression and prognostic relevance in HNSCC. The Kaplan-Meier, log-rank test and Spearman correlation were used to analysis.

RESULTS

In tumors, IL-1α, IL-1β, IL1R1, IL1RL1, IL1F10, IL33, CASP1, and AIM2 are highly expressed, while IL1RN, IL1RAPL1, IL1RAPL2, IL18BP, IL18R1 and IL18RAP are poorly expressed. IL-1α, IL1RAP, and IL1RAPL2 were prognostic risk factors in at least two databases, while IL18RAP, IL36A, and SIGIRR were prognostic protective factors. SIGIRR was confirmed in all three databases. Compared to HPV- tumors, IL18RAP and SIGIRR are highly expressed in HPV+ tumors. In addition, IL-1α, IL-1β, IL1RL2, IL1RAP were negatively correlated with CD8A/B expression, while IL1R2, IL18R1, IL18RAP, IL33, SIGIRR, CASP1, AIM2 were positively correlated with CD8A/B expression.

CONCLUSION

The differential expression of the IL-1 family and related genes affects the microenvironment changes and survival prognosis of HNSCC patients. Among them, IL-1α, IL1RAP, IL18RAP, and SIGIRR may affect the prognosis of patients by affecting local CD8+ T cell infiltration in the tumor.

LEVEL OF EVIDENCE: 3

Microwave Ablation Combined with Flt3L Provokes Tumor-Specific Memory CD8+ T Cells-Mediated Antitumor Immunity in Response to PD-1 Blockade

For medically inoperable non-small cell lung cancer, microwave ablation (MWA) represents a super minimally invasive alternative treatment. However, tumor recurrence remains a concern. Here, it is demonstrated that the combination of MWA with Flt3L significantly inhibits tumor recurrence by CD8+ central memory T (TCM)-like cell-dependent antitumor immune responses within the tumor-draining lymph nodes (TdLN). TdLN-TCM-like cells encompassed both tumor-specific memory T (TTSM) and progenitor-exhausted T (TPEX) cells. The expansion of these cells markedly altered the differentiation of exhausted T cells within the tumor microenvironment (TME). TPEX predominantly differentiated into transitory effector-like exhausted T cells (TEX-int). The expansion of TTSM cells elicited by the combined therapy was reliant on conventional dendritic cells (cDCs) and was likely specifically dependent on the migratory cDC1s (Mig cDC1s) within the TdLN. The upregulation of ICOSL on migratory cDC1s was pivotal in initiating TTSM-like cell-mediated antitumor responses. Slc38a2 may be a critical gene responsible for the upregulation of ICOSL in Mig cDC1s following combined treatment. Finally, the combined treatment significantly enhanced the antitumor efficacy of immunotherapy based on PD-1 blockade. The research thereby afforded a novel strategic approach to forestall tumor recurrence after MWA therapy, while also providing the foundational proof-of-concept for impending clinical investigations.

Macrophage subtypes inhibit breast cancer proliferation in culture

Macrophages are a highly plastic cell type that adopt distinct subtypes and functional states depending on environmental cues. These functional states can vary widely, with distinct macrophages capable of displaying opposing functions. We sought to understand how macrophage subtypes that exist on two ends of a spectrum influence the function of other cells. We used a coculture system with primary human macrophages to probe the effects of macrophage subtypes on breast cancer cell proliferation. Our studies revealed a surprising phenotype in which both macrophage subtypes inhibited cancer cell proliferation compared with cancer cells alone. Of particular interest, using two different proliferation assays with two different breast cancer cell lines, we showed that differentiating macrophages into a "protumor" subtype inhibited breast cancer cell proliferation. These findings are inconsistent with the prevailing interpretation that "protumor" macrophages promote cancer cell proliferation and suggest a re-evaluation of how these interpretations are made.

Crosstalk Between the Nervous System and Colorectal Cancer

The nervous system is the dominant regulatory system in the human body. The traditional theory is that tumors lack innervation. However, an increasing number of studies have shown complex bidirectional interactions between tumors and the nervous system. Globally, colorectal cancer (CRC) is the third most common cancer. With the rise of tumor neuroscience, the role of nervous system imbalances in the occurrence and development of CRC has attracted increasing amounts of attention. However, there are still many gaps in the research on the interactions and mechanisms involved in the nervous system in CRC. This article systematically reviews emerging research on the bidirectional relationships between the nervous system and CRC, focusing on the following areas: (1) Effects of the nervous system on colon cancer. (2) Effects of CRC on the nervous system. (3) Treatment of CRC associated with the nervous system.

Autocrine and paracrine LIF signals to collaborate sorafenib-resistance in hepatocellular carcinoma and effects of Kanglaite Injection

BACKGROUND

Sorafenib (SFN) is the first-line medicine for advanced hepatocellular carcinoma (HCC). However, Sorafenib resistance is a main challenge of therapeutic efficacy, and the mechanisms have not been fully clarified.

PURPOSE

The purpose of this study was to investigate the therapeutic potential and mechanism of action of LIF in modulating the microenvironment of SFN resistance as well as Kanglaite Injection (KLTI) in ameliorating SFN resistance in HCC and to guide future research directions for drug combination for HCC.

METHODS

Established SFN-resistance HCC cell line was used to study the relationship between resistance and immunosuppression in HCC-tumor microenvironment (TME). In vivo macrophage and natural killer (NK) cells depletion were achieved by clodronate liposomes (CL) and anti-NK1.1. In vitro multiple cell co-culture systems were used to determine the effects of KLTI on SFN-resistant. Likewise, flow cytometry, qRT-PCR, Western blot, and immunohistochemistry analysis were performed for further mechanistic investigation.

RESULTS

Tumor associated-macrophages (TAMs) and NK cells mediated SFN-resistance in murine HCC. In the case of SFN resistance, the paracrine-leukemia inhibitory factor (LIF) by M2-like TAMs increased and potently suppressed NK cells proliferation and cytotoxicity, which finally inducing NK cells exhaustion and malignancy of HCC metastasis. Meanwhile, SFN resistance led to the increased autocrine-LIF of tumor cells, and further promoted the protective autophagy and activation of the acquired drug-resistant pathway PI3K/Akt/mTOR. KLTI could ameliorate the resistance of tumor immune microenvironment (TIME) and enhance the sensitivity of HCC to SFN by regulating LIF and macrophage-NK cell interaction.

CONCLUSIONS

Our findings verify the therapeutic effects of targeting LIF in SFN-resistance, uncover the potential mechanism for the increased sensitivity to SFN and sought to elucidate how this intervention might contribute to overcoming SFN resistance. KLTI is a promising immunomodulatory drug by regulating LIF and macrophage-NK cell interaction, which could be a potential combination partner for HCC treatment.

Spatial heterogeneity and prognostic significance of TAMs and TILs infiltrates in different staging esophageal squamous carcinoma

BACKGROUND

The prognostic value and clinical relevance of tumor-infiltrating lymphocytes (TILs) and tumor-associated macrophages (TAMs) in esophageal squamous cell carcinoma (ESCC) remain unclear.

AIMS

To investigate the prognostic value and functional involvement of TILs in ESCC.

METHODS

We included 40 patients across different stages of ESCC from Xinjiang. Multiplex fluorescent immunohistochemistry characterized TILs and TAMs. TILs in different tumor regions were quantified and correlated with overall survival (OS) using log-rank test and Cox regression analyses.

RESULTS

Invasive ESCC exhibited increased CD4 T cells and Tregs compared to carcinoma in situ, with a higher Tregs/CD4 T cells ratio (p < 0.05). TAMs, primarily in stromal regions, were significantly associated with Foxp3+ cells (p < 0.05). Higher infiltration of stromal TAMs and a higher CD4/CD8 T cells ratio correlated with poorer OS, while a higher CD8 T/Foxp3+ cells ratio indicated better survival. Multivariate Cox analysis revealed TNM stage, tumor length, and stromal CD4/CD8 T cells ratio as independent prognostic factors (p < 0.05). An immune prognostic risk score-based nomogram was constructed to predict patient outcomes.

CONCLUSIONS

The spatial distribution and abundance of TILs significantly correlated with prognosis, providing a useful immune classification for ESCC.

A bibliometric analysis of oncolytic virotherapy combined with immunotherapy

Oncolytic virotherapy in combination with immunotherapy has demonstrated significant survival benefits in some types of cancer. Here, we summarized the development, research hotpots and potential trends of the combination therapy using visual bibliometric analysis. A total of 712 articles were retrieved on June 21, 2023. The USA was the top contributors of any country (325, 45.65%), and the Rluk Research Libraries UK ranked first (43, 6.03%) of any institutions. The Journal for ImmunoTherapy of Cancer was with the largest publications (60, 8.43%). 'Tumor microenvironment' and 'delivery' were citation keywords with the strongest ongoing bursts. Research fronts in the future may focus on the methods of virus delivery and tumor microenvironment modulation. Futhermore, the most extensively studied cancer were melanoma, glioma and hepatocellular carcinoma.

M6A-mediated molecular patterns and tumor microenvironment infiltration characterization in nasopharyngeal carcinoma

N6-methyladenosine (m6A) is the most predominant RNA epigenetic regulation in eukaryotic cells. Numerous evidence revealed that m6A modification exerts a crucial role in the regulation of tumor microenvironment (TME) cell infiltration in several tumors. Nevertheless, the potential role and mechanism of m6A modification in nasopharyngeal carcinoma (NPC) remains unknown. mRNA expression data and clinical information from GSE102349, and GSE53819 datasets obtained from Gene Expression Omnibus (GEO) was used for differential gene expression and subsequent analysis. Consensus clustering was used to identify m6A-related molecular patterns of 88 NPC samples based on prognostic m6A regulators using Univariate Cox analysis. The TME cell-infiltrating characteristics of each m6A-related subclass were explored using single-sample gene set enrichment (ssGSEA) algorithm and CIBERSORT algotithm. DEGs between two m6A-related subclasses were screened using edgeR package. The prognostic signature and predicated nomogram were constructed based on the m6A-related DEGs. The cell infiltration and expression of prognostic signature in NPC was determined using immunohistochemistry (IHC) analysis. Chi-square test was used to analysis the significance of difference of the categorical variables. And survival analysis was performed using Kaplan-Meier plots and log-rank tests. The NPC samples were divided into two m6A-related subclasses. The TME cell-infiltrating characteristics analyses indicated that cluster 1 is characterized by immune-related and metabolism pathways activation, better response to anit-PD1 and anti-CTLA4 treatment and chemotherapy. And cluster 2 is characterized by stromal activation, low expression of HLA family and immune checkpoints, and a worse response to anti-PD1 and anti-CTLA4 treatment and chemotherapy. Furthermore, we identified 1558 DEGs between two m6A-related subclasses and constructed prognostic signatures to predicate the progression-free survival (PFS) for NPC patients. Compared to non-tumor samples, REEP2, TMSB15A, DSEL, and ID4 were upregulated in NPC samples. High expression of REEP2 and TMSB15A showed poor survival in NPC patients. The interaction between REEP2, TMSB15A, DSEL, ID4, and m6A regulators was detected. Our finding indicated that m6A modification plays an important role in the regulation of TME heterogeneity and complexity.

Extracellular vesicle-packaged miR-4253 secreted by cancer-associated fibroblasts facilitates cell proliferation in gastric cancer by inducing macrophage M2 polarization

Cancer-associated fibroblasts (CAFs) can interact with macrophages in the tumor microenvironment by secreting extracellular vesicles (EVs), thereby affecting tumor progression. However, the mechanisms of CAF-secreted EVs in gastric cancer (GC) remain not well understood. Here, we investigated the effect of CAF-EVs on macrophage polarization in GC and the underlying mechanisms. Macrophage polarization was evaluated using flow cytometry and quantitative real-time polymerase chain reaction. GC cell proliferation was determined using cell counting kit-8, EdU, and colony formation assays. The molecular mechanism was explored using microarray analysis, dual-luciferase reporter assay, and RNA pull-down analysis. The results showed that CAFs secreted EVs that inhibit macrophage M1 polarization and promote M2 polarization. Moreover, miR-4253 expression was increased in CAF-EVs, and inhibition of miR-4253 reversed the macrophage polarization induced by EVs. IL6R was identified as the target of miR-4253. Additionally, macrophages treated with EVs that encapsulated miR-4253 promote GC cell proliferation. In conclusion, CAF-secreted EVs packaging miR-4253 facilitate macrophage polarization from M1 to M2 phenotype by targeting IL6R, thereby accelerating GC cell proliferation. The findings suggest that EV-encapsulated miR-4253 may be a promising therapeutic target of GC.