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Background Cervical cancer (CC) remains a significant global health challenge despite advancements in screening, HPV vaccination, and therapeutic strategies. Tumor heterogeneity, driven by epigenetic modifications, affects immune evasion, metastasis, and treatment response. Cancer-associated fibroblasts (CAFs) play a crucial role in CC progression and therapy resistance. Single-cell sequencing offers new insights but remains underutilized in CC research. This study integrates single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, and deconvolution analysis to identify key genes and immunotherapy targets. By constructing a prognostic model and exploring the immune microenvironment, we aim to provide novel insights into CC pathogenesis and potential therapeutic strategies. Methods We utilized scRNA-seq, spatial transcriptomics, deconvolution analysis, and pseudotime trajectory mapping to delineate fibroblast subtypes within the tumor immune microenvironment (TIME) of CC. Functional annotations, differential gene expression profiling, cell–cell communication pathways, and transcription factor networks were systematically analyzed. A prognostic model based on bulk RNA-seq data was constructed and validated through survival analysis, with correlations to immune microenvironment characteristics. Functional experiments investigated the role of SDC1, a critical mediator of fibroblast-tumor crosstalk. Additionally, Fibroblast–tumor cell co-culture systems and functional assays were employed to investigate the paracrine role of SDC1. The CAF MYH11⁺ subpopulation was isolated via fluorescence-activated cell sorting (FACS). Multiplex immunofluorescence and immunohistochemical analyses were performed on both cultured cells and human cervical cancer tissue samples to characterize the spatial distribution and dynamic remodeling of MYH11 during stromal reorganization. Results Six distinct fibroblast subtypes were identified, including the C0 MYH11 + fibroblasts, which exhibited unique roles in stemness maintenance, metabolic activity, and immune regulation. Spatial and functional analyses revealed that the C0 subtype is central to tumor-fibroblast interactions, particularly through the MDK-SDC1 signaling axis. The prognostic model incorporating fibroblast-specific markers demonstrated robust predictive power for patient survival outcomes. Additionally, in vitro SDC1 knockdown significantly inhibited CC cell proliferation, migration, and invasion. Fibroblasts show spatially regulated heterogeneity, with activation markers enriched in the tumor zone and MYH11 highest in normal zones, indicating dynamic stromal remodeling. C0 MYH11 + CAF Promotes Tumor Cell Proliferation, Migration, and Inhibits Apoptosis via Soluble SDC1. Conclusion Our results illustrate, in some ways, the possible immunomodulatory and tumor supporting roles of CAFs in CC TIME and highlight the possibility that the MDK-SDC1 pathway is a promising therapeutic target. This study not only promotes a partially new understanding of temporal heterogeneity in CC, but also provides a possible reference base for the development of new biomarkers and immunotherapy approaches to improve clinical outcomes.

The presence of Fusobacterium nucleatum is associated with an immunosuppressive tumor immune microenvironment (TIM) in primary colorectal cancer (CRC), contributing to tumor progression. Its persistence in CRC liver metastasis tissues raises questions about its role in modulating local and systemic immune responses and influencing recurrence patterns. This retrospective cohort study of 218 patients with CRC liver metastasis investigated the association of F. nucleatum in CRC liver metastasis tissues with systemic inflammation, TIM alterations, and the number of metastatic organs involved in recurrence. Two‐step polymerase chain reaction (PCR), including digital PCR, detected F. nucleatum in 42% (92/218) of fresh‐frozen specimens of CRC liver metastases. Compared with the F. nucleatum‐none group, the F. nucleatum‐high group showed higher C‐reactive protein levels (0.82 vs. 0.22 mg/dL; Ptrend = 0.02), lower numbers of CD8+ cells (33.2 vs. 65.3 cells/mm2; Ptrend = 0.04) and FOXP3+ cells (11.3 vs. 21.7 cells/mm2; Ptrend = 0.01) in the TIM, and a greater number of metastatic organs involved in recurrence (1.6 vs. 1.1; p < 0.001). The presence of F. nucleatum in CRC liver metastasis tissues was associated with increased systemic inflammation, TIM alterations, and a greater number of metastatic organs involved in recurrence. These findings suggest a potential contribution of F. nucleatum to the metastatic propensity of CRC cells and could inform future research to enhance understanding of the interaction between tumor, host, and microbes in the metastatic process. In this retrospective cohort study of 218 patients with colorectal cancer (CRC) liver metastasis, Fusobacterium nucleatum was detected in liver metastasis tissues in 42% of cases and was associated with increased serum C‐reactive protein levels, reduced numbers of CD8+ cells and FOXP3+ cells in tumor tissues, and an increased number of metastatic organs involved in recurrence. F. nucleatum in CRC liver metastasis tissues might influence systemic and local immune responses and diversify the metastatic organs involved.

Hepatocellular carcinoma (HCC) remains a critical global health concern, particularly in regions with high endemicity of hepatitis B, hepatitis C, and non-alcoholic fatty liver disease. Immunotherapy, particularly immune checkpoint inhibitors (ICIs), has emerged as a promising therapeutic strategy for advanced HCC. Despite encouraging results, primary and acquired resistance to ICIs continues to pose significant challenges in clinical practice. Recent research has identified tumor-associated macrophages (TAMs) as key contributors to immune evasion and ICI resistance in HCC, primarily through polarization to the M2 phenotype. M2-polarized TAMs secrete a range of immunosuppressive cytokines that inhibit T cell activation and promote tumor progression through processes such as angiogenesis and epithelial-mesenchymal transition. These mechanisms compromise the efficacy of ICIs and facilitate tumor expansion and metastasis. This review summarizes the role of TAM-related signaling pathways in driving immune evasion and ICI resistance in HCC, with particular emphasis on the contribution of TAM surface receptors and chemokines in immune suppression. Additionally, the review highlights emerging insights into TAM metabolic reprogramming and transcriptional regulation, which have been closely linked to ICI resistance. Furthermore, we explore promising therapeutic strategies targeting TAMs and their associated signaling pathways to enhance ICI efficacy in HCC. Integrating these novel approaches could potentially overcome TAM-driven immune evasion and ICI resistance, boosting the efficacy of immunotherapy and improving patient prognosis in HCC.

It is newly revealed that collagen works as a physical barrier to tumor immune infiltration, oxygen perfusion, and immune depressor in solid tumors. Meanwhile, after radiotherapy (RT), the programmed death ligand‐1 (PD‐L1) overexpression and transforming growth factor‐β (TGF‐β) excessive secretion would accelerate DNA damage repair and trigger T cell exclusion to limit RT efficacy. However, existing drugs or nanoparticles can hardly address these obstacles of highly effective RT simultaneously, effectively, and easily. In this study, it is revealed that inducing mitochondria dysfunction by using oxidative phosphorylation inhibitors like Lonidamine (LND) can serve as a highly effective multi‐immune pathway regulation strategy through PD‐L1, collagen, and TGF‐β co‐depression. Then, IR‐LND is prepared by combining the mitochondria‐targeted molecule IR‐68 with LND, which then is loaded with liposomes (Lip) to create IR‐LND@Lip nanoadjuvants. By doing this, IR‐LND@Lip more effectively sensitizes RT by generating more DNA damage and transforming cold tumors into hot ones through immune activation by PD‐L1, collagen, and TGF‐β co‐inhibition. In conclusion, the combined treatment of RT and IR‐LND@Lip ultimately almost completely suppressed the growth of bladder tumors and breast tumors. In this research, IR‐LND@Lip is prepared by conjugating heptamethylene cyanine with Lonidamine to lower the dosage of Lonidamine needed in disrupting mitochondrial oxidative phosphorylation. By doing this, IR‐LND@Lip more effectively sensitizes radiotherapy by generating more DNA damage and transforming cold tumors into hot ones through hypoxia reversion and immune activation by PD‐L1, collagen, and TGF‐β co‐inhibition.

Background Glioma, particularly glioblastoma (GBM), is a highly aggressive tumor with limited responsiveness to immunotherapy. PANoptosis, a form of programmed cell death merging pyroptosis, apoptosis, and necroptosis, plays an important role in reshaping the tumor microenvironment (TME) and enhancing immunotherapy effectiveness. This study investigates PANoptosis dynamics in glioma and explores the therapeutic potential of its activation, particularly through natural compounds such as cinobufagin. Methods We comprehensively analyzed PANoptosis-related genes (PANoRGs) in multiple glioma cohorts, identifying different PANoptosis patterns and constructing the PANoptosis enrichment score (PANoScore) to evaluate its relationship with patient prognosis and immune activity. Cinobufagin, identified as a PANoptosis activator, was evaluated for its ability to induce PANoptosis and enhance anti-tumor immune responses both in vitro and in vivo GBM models. Results Our findings indicate that high PANoScore gliomas showed increased immune cell infiltration, particularly effector T cells, and enhanced sensitivity to immunotherapies. Cinobufagin effectively induced PANoptosis, leading to increased immunogenic cell death, facilitated tumor-associated microglia/macrophages (TAMs) polarization towards an M1-like phenotype while augmenting CD4+/CD8 + T cell infiltration and activation. Importantly, cinobufagin combined with anti-PD-1 therapy exhibited significant synergistic effects and prolonged survival in GBM models. Conclusions These findings highlight the therapeutic potential of PANoptosis-targeting agents, such as cinobufagin, in combination with immunotherapy, offering a promising approach to convert “cold” tumors into “hot” ones and improving glioma treatment outcomes.

Introduction Diffuse Pleural Mesothelioma (DPM) is a rare and incurable cancer. Immune checkpoint inhibitors (ICIs) marked some advances but only for a limited fraction of patients. Improving response prediction to ICIs is currently a clinical need in DPM. Deletion of CDKN2A gene, in chr9p21.3, is one of the most frequent alterations in DPM. As in other settings, deletion of CDKN2A locus has been associated with an immunosuppressive phenotype. Here we investigated the consequences of CDKN2A deletion (CDKN2Adel) on the tridimensional organization and function of immune infiltrate in DPM. Methods A retrospective cohort of 89 DPMs was analyzed and assessed for CDKN2Adel through digital droplet PCR. Immune-profiling was assessed by analyzing 770 immune-related genes by digital profiling. Finally, morphologically resolved, high-dimensional transcriptomic approach was used to reconstruct the spatial architecture of immune-tumor interaction in wild-type and deleted FFPE samples. Results CDKN2Adel was detected in 41.5% of DPMs and was associated with reduced survival ( p  = 0.04). Bulk gene expression identified 373 differentially expressed genes, of which 98.6% were downregulated in CDKN2Adel samples. These genes were enriched in several immune categories, suggesting significant immune deprivation in deleted tumors. Deconvolution analysis confirmed a major depletion of infiltrating immune cells including effector populations. Spatial transcriptomics revealed that this immunosuppressive phenotype was different according to histotype and prominent in the sarcomatoid lesions. Conclusion These data demonstrated that CDKN2Adel deeply affects the spatial organization of immune microenvironment by depleting immune-signaling and reducing or preventing immune infiltration, supporting the potential implementation of this alteration as ICIs predictive biomarker in DPM.

Introduction Colorectal cancer (CRC) is a malignancy characterized by strong associations with chronic inflammation. While tumor-infiltrating immune responses have been extensively studied, systemic alterations in innate immune cells, particularly monocytes and macrophages, remain underexplored. Interleukin-1β (IL-1β), a key pro-inflammatory cytokine, plays a pivotal role in both systemic inflammation and tumor microenvironment modulation. This study aimed to evaluate IL-1β secretion by monocyte-derived macrophages from CRC patients and assess its association with clinicopathological features. Methods Peripheral blood monocytes were isolated from 20 CRC patients and differentiated into macrophages in vitro using M-CSF. Macrophages were then stimulated with lipopolysaccharide (LPS) under three conditions: single stimulation, repeated stimulation, and no stimulation. IL-1β concentrations in culture supernatants were measured by ELISA. Patients were stratified by tumor grade and stage, and non-parametric statistical tests (Mann–Whitney U, Kruskal–Wallis) were used to assess differences in cytokine secretion across groups. Results Macrophage IL-1β secretion was significantly higher in patients with tumors extending beyond the muscularis propria compared to those with intact muscularis propria (median 30.33 vs 15.39 pg/mL, p = 0.0381). Patients with stage IV CRC exhibited a markedly greater fold increase in IL-1β secretion after LPS stimulation than those with stage I (9.08-fold vs 1.63-fold, p = 0.023). Although differences by tumor grade did not reach statistical significance, a trend toward increased IL-1β secretion was observed in higher-grade tumors. Conclusion Systemic IL-1β secretion by monocyte-derived macrophages is enhanced in CRC patients with advanced disease, suggesting tumor-driven reprogramming of innate immune responses. These findings support IL-1β as a potential biomarker of tumor progression and a candidate target for immunomodulatory strategies in CRC. Given the modest sample size (n = 20) and the ex vivo design, our conclusions are preliminary and hypothesis-generating. Validation in an independent, larger cohort is warranted.

Artificial intelligence (AI) can identify actionable oncology biomarkers. This research integrates our previous analyses of non-Hodgkin lymphoma. We used gene expression and immunohistochemical data, focusing on the immune checkpoint, and added a new analysis of macrophages, including 3D rendering. The AI comprised machine learning (C5, Bayesian network, C&R, CHAID, discriminant analysis, KNN, logistic regression, LSVM, Quest, random forest, random trees, SVM, tree-AS, and XGBoost linear and tree) and artificial neural networks (multilayer perceptron and radial basis function). The series included chronic lymphocytic leukemia, mantle cell lymphoma, follicular lymphoma, Burkitt, diffuse large B-cell lymphoma, marginal zone lymphoma, and multiple myeloma, as well as acute myeloid leukemia and pan-cancer series. AI classified lymphoma subtypes and predicted overall survival accurately. Oncogenes and tumor suppressor genes were highlighted (MYC, BCL2, and TP53), along with immune microenvironment markers of tumor-associated macrophages (M2-like TAMs), T-cells and regulatory T lymphocytes (Tregs) (CD68, CD163, MARCO, CSF1R, CSF1, PD-L1/CD274, SIRPA, CD85A/LILRB3, CD47, IL10, TNFRSF14/HVEM, TNFAIP8, IKAROS, STAT3, NFKB, MAPK, PD-1/PDCD1, BTLA, and FOXP3), apoptosis (BCL2, CASP3, CASP8, PARP, and pathway-related MDM2, E2F1, CDK6, MYB, and LMO2), and metabolism (ENO3, GGA3). In conclusion, AI with immuno-oncology markers is a powerful predictive tool. Additionally, a review of recent literature was made.

PurposeNowadays, it is necessary to explore effective biomarkers associated with tumor immune microenvironment (TIME) noninvasively. Here, we investigated whether the metabolic parameter from preoperative 2-[18F]FDG PET/CT could provide information related to TIME in patients with clear cell renal cell carcinoma (ccRCC).MethodsNinety patients with newly diagnosed ccRCC who underwent 2-[18F]FDG PET/CT prior to surgery were retrospectively reviewed. The immunological features included tumor-infiltrating lymphocytes (TILs) density, programmed death-ligand 1 (PD-L1) expression, and tumor immune microenvironment types (TIMTs). TIMTs were classified as TIMT I (positive PD-L1 and high TILs), TIMT II (negative PD-L1 and low TILs), TIMT III (positive PD-L1 and low TILs), and TIMT IV (negative PD-L1 and high TILs). The relationship between maximum standardized uptake value (SUVmax) in the primary lesion from 2-[18F]FDG PET/CT and immunological features was analyzed. Cox proportional hazards analyses were performed to identify the prognostic factors for disease-free survival (DFS) after nephrectomy.ResultsTumors with high TILs infiltration showed remarkable correlation with elevated SUVmax and aggressive clinicopathological characteristics, such as high World Health Organization/International Society of Urological Pathology (WHO/ISUP) grade. PD-L1 expression on tumor cells was positively associated with WHO/ISUP grade and negatively correlated with body mass index (BMI). However, no correlation was observed between SUVmax and PD-L1 expression, regardless of its spatial tissue distribution. SUVmax of TIMT I and IV was higher than that of TIMT II, but there was remarkable difference merely between TIMT II and IV. In multivariate analysis, SUVmax (P = 0.022, HR 3.120, 95% CI 1.175–8.284) and WHO/ISUP grade (P = 0.046, HR 2.613, 95% CI 1.017–6.710) were the significant prognostic factors for DFS. Six cases (16.2%) with normal SUVmax showed disease progression, while 25 cases (71.4%) with elevated SUVmax experienced disease progression. Conversely, the immunological features held no prognostic value.ConclusionsOur findings demonstrated that 2-[18F]FDG PET/CT could provide metabolic information of TIME for ccRCC patients and develop image-guided therapeutic strategies accordingly. Patients with elevated preoperative SUVmax should be seriously considered, and perioperative immunotherapy might be beneficial for them.

Tumor‐associated macrophages (TAMs) play critical roles in reprogramming other immune cells and orchestrating antitumor immunity. However, the interplay between TAMs and tumor cells responsible for enhancing immune evasion remains insufficiently understood. Here, we revealed that interleukin (IL)‐1β was among the most abundant cytokines within the in vitro tumor‐macrophage coculture system, and enhanced IL‐1β expression was associated with impaired cytotoxicity of CD8+ T cells in human ovarian cancer, indicating the possibility that IL‐1β mediated immunosuppression during tumor‐TAMs crosstalk. Mechanistically, we demonstrated that IL‐1β significantly boosted programmed death‐ligand 1 (PD‐L1) expression in tumor cells via the activation of the nuclear factor‐κb signaling cascade. Specifically, IL‐1β released from TAMs was triggered by lactate, the anaerobic metabolite of tumor cells, in an inflammasome activation‐dependent manner. IL‐1β sustained and intensified immunosuppression by promoting C‐C motif chemokine ligand 2 secretion in tumor cells to fuel TAMs recruitment. Importantly, IL‐1β neutralizing antibody significantly curbed tumor growth and displayed synergistic antitumor efficacies with anti‐PD‐L1 antibody in tumor‐bearing mouse models. Together, this study presents an IL‐1β‐centered immunosuppressive loop between TAMs and tumor cells, highlighting IL‐1β as a candidate therapeutic target to reverse immunosuppression and potentiate immune checkpoint blockade. The pro‐inflammatory cytokine IL‐1β could be triggered and released from macrophages (Mφ) by lactate derived from tumor cells. Interleukin (IL)‐1β, in turn, drove an immune inhibitory phenotype on tumor cells, especially on the increase in programmed death‐ligand 1, by activating the nuclear factor‐κB (NF‐κB) signaling pathway. Thus, tumor‐released lactate and Mφ‐derived IL‐1β mediated the crosstalk loop and caused immunosuppression. Moreover, activated NF‐κB signaling promoted C‐C motif chemokine ligand 2 secretion in tumor cells, leading to further monocyte recruitment and replenishment of the Mφ population, which maintained the malignant feedback loop (Figure 7).