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PubMed2026

Sodium Overload-Related Molecular Subtypes and a Four-Gene Prognostic Signature Predict Survival, Immune Landscape, and Therapeutic Response in Acute Myeloid Leukemia.

Sodium overload has recently emerged as a critical metabolic stressor involved in cancer progression; however, its molecular characteristics and clinical relevance in acute myeloid leukemia (AML) remain unexplored. RNA-seq data sets, clinical annotations, and mutational profiles of AML patients were annotations from The Cancer Genome Atlas and integrated with Genotype-Tissue Expression normal samples. Sodium overload-related genes (SORGs) were obtained from GeneCards. Differentially expressed SORGs (DESORGs) screened by applying the limma statistical model, followed by univariate Cox proportional hazards regression, consensus clustering, functional enrichment, immune infiltration analysis, and pathway evaluation. A prognostic signature was developed through least absolute shrinkage and selection operator regression followed by multivariate Cox modeling. The model's performance was further verified in two external GEO data sets (GSE71014 and GSE37642). Nomogram construction, subgroup analysis, tumor mutational burden (TMB) assessment, drug sensitivity prediction, transcription factor (TF) analysis, and competing endogenous RNA (ceRNA) network analyses were also performed. A total of 57 DESORGs were identified, and 2 sodium overload-related molecular subtypes exhibited distinct survival, immune infiltration, and inflammatory pathway activation. A robust four-gene signature (DOCK1, GABRE, HTR7, ACSM1) stratified patients into high- and low-risk categories with significantly different survival across training and validation cohorts. High-risk patients displayed increased immune infiltration, higher TMB, reduced sensitivity to multiple chemotherapeutic drugs, and inferior predicted response to PD-L1 blockade. TF and ceRNA networks revealed multilayered transcriptional and post-transcriptional regulation of the signature genes. This study identifies sodium overload-related molecular heterogeneity in AML and establishes a validated four-gene prognostic signature that integrates genomic, immunologic, and therapeutic features, offering potential utility for personalized risk assessment and treatment optimization.

Humans↗
PubMed2026

Exploring shared biomarkers and their mechanisms in thyroid cancer and systemic lupus erythematosus via bioinformatics analysis.

BACKGROUND: Systemic lupus erythematosus (SLE), an autoimmune disorder, is linked to a heightened risk of multiple malignancies, including thyroid cancer. Thyroid cancer is the most prevalent malignancy of the endocrine system, and its autoimmune-related pathological features render it an optimal subject for investigating the mechanisms of their comorbidity. The molecular mechanisms underlying this comorbidity are still ambiguous. The accurate diagnosis and treatment of thyroid cancer urgently necessitate innovative molecular targets that extend beyond conventional pathological characteristics. This study seeks to employ integrated bioinformatics approaches to elucidate potential shared molecular mechanisms and immunological features between thyroid cancer and systemic lupus erythematosus (SLE), aiming to enhance understanding of their comorbidity and identify novel intervention targets. METHODS: This study initially acquired gene expression data for TC and SLE from the GEO database and subsequently screened and identified differentially expressed genes (DEGs) shared by both diseases. Subsequently, we conducted Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Reactome functional enrichment analyses on these 46 shared differentially expressed genes (DEGs) and further assessed the activation status of pertinent pathways using Gene Set Enrichment Analysis (GSEA). Subsequently, we employed CIBERSORTx to examine immune infiltration patterns and developed protein-protein interaction networks utilising the STRING database. We identified hub genes utilising the MCODE and cytoHubba plugins and visualised the findings with Cytoscape software. We additionally assessed the diagnostic efficacy of these core hub genes in an independent dataset utilising ROC curves and investigated their prognostic relevance in thyroid cancer through Kaplan-Meier survival analysis and multivariate Cox proportional hazards regression. Ultimately, we employed the Network Analyst platform to forecast transcription factor-gene and miRNA-gene regulatory networks and identified potential targeted therapeutic compounds utilising the DSigDB database. RESULTS: This study identified 46 differentially expressed genes (DEGs) commonly linked to thyroid cancer and systemic lupus erythematosus (SLE), which were significantly enriched in signalling pathways associated with immune-inflammatory activation, type I interferon responses, and complement pathway activation. Moreover, GSEA findings validated that immune-inflammatory and autoimmune-related pathways are markedly activated in both conditions. Twelve hub genes were discerned through protein-protein interaction networks. Analysis of immune infiltration indicated that thyroid cancer and systemic lupus erythematosus exhibit a shared characteristic of innate immune dysregulation, marked by the infiltration of myeloid cells (neutrophils, M0/M2 macrophages). Receiver operating characteristic (ROC) curve analysis identified six significant core hub genes with substantial diagnostic value: C1QB, LCN2, C1QC, LTF, VSIG4, and C3AR1. Univariate survival analysis indicated that elevated expression of C1QC and C3AR1 significantly enhances overall survival in thyroid cancer patients; however, multivariate COX regression analysis revealed that their independent prognostic significance necessitates further validation. This study predicted the interaction networks of transcription factors and miRNAs regulating key genes, with LCN2 demonstrating the highest connectivity to miRNAs, and identified candidate therapeutic compounds linked to it. CONCLUSION: This study employed bioinformatics analysis to identify critical shared hub genes and molecular pathways connecting thyroid cancer and systemic lupus erythematosus, offering novel insights into their shared pathogenesis and the advancement of targeted biomarkers and therapeutic strategies.

Bioinformatics analysis↗
PubMed1994

Constitutive and cytokine-induced production of interleukin-6 by human myoblasts.

Several recent studies have shown that some inflammatory myopathies are autoimmune diseases. It is possible that certain alterations in the muscle-immune cell microenvironment and in the local production of cytokines could take part in the pathogenesis of inflammatory myopathies. In the present study we investigated the effects of tumor necrosis factor-alpha (TNF-alpha) and interferon-gamma (IFN-gamma) on the secretion of interleukin-6 (IL-6) by myoblasts. Purified human myoblasts from normal subjects and from patients with polymositis were cultured in the presence of TNF-alpha and IFN-gamma at two concentrations (100 and 200 U/ml), alone or in combination, for 12, 24 and 48 h. The supernatants were collected and the IL-6 concentrations tested by ELISA (Genzyme). We found that myoblasts secrete IL-6 constitutively. The secretion of IL-6 was greatly increased by TNF-alpha; the increase was both time- and dose-dependent. IFN-gamma caused a moderate increase in IL-6 secretion, but this effect was not significant, despite a slight positive trend over time. There was no synergism in the effect of IFN-gamma and TNF-alpha. It is known that inflammatory myopathies are characterized by mononuclear cell infiltration and muscle regeneration: myoblasts are present in infiltrated tissues. Thus, the local production of cytokines that characterizes the inflammatory reaction, could stimulate myoblasts to secrete IL-6, which might add to the pro-inflammatory effects of IL-6 produced by activated macrophages and T cells.

Cell Division↗
PubMed2025

Injury and inflammation promote cancer progression at the anorectal junction.

In anorectal cancer, epithelial tumors frequently develop in transition zones (TZs) between the anal and the rectal epithelia, a region subjected to inflammation and wounds. However, whether inflammation and wounds contribute to tumor development in the anorectal region remain totally unknown. Using mice with KRASG12D mutation selectively at the TZ cells, we found that recurrent wound and its associated sustained inflammation are essential to promote tumor development. We characterized at the single-cell level the malignant events that occurred at the TZ all along tumor development from early neoplastic, hyperplastic, to malignant transition. We showed that this tumoral development was under the influence of interleukin (IL)-17, a cytokine highly secreted by a γδ T lymphocyte subset, allowing the recruitment of neutrophils at the TZ, which was crucial for tumor progression. Hence, this study reveals the importance of wound and its associated IL-17/neutrophil inflammatory axis in cancer progression.

Animals↗
PubMed2025

Targeting the MYC oncogene with a selective bi-steric mTORC1 inhibitor elicits tumor regression in MYC-driven cancers.

The MYC oncogene is causally involved in the pathogenesis of most human cancers. The mTORC1 complex regulates MYC translation through 4EBP1 and S6K. However, agents that selectively target mTORC1 (without affecting mTORC2) have so far failed to reactivate 4EBP1 and, thus, cannot effectively suppress MYC in vivo. In contrast, nonselective inhibitors that block both mTOR complexes can activate 4EBP1, but often lack tolerability and induce immunosuppression. Here, we introduce bi-steric mTORC1-selective inhibitors, including the clinical candidate RMC-5552, which potently reactivate 4EBP1 and decrease MYC protein expression levels. Consequently, suppression of MYC signaling occurs, resulting in tumor growth inhibition through both direct effects on tumor cells and immune activation. RMC-5552 exhibits anti-tumor activity in human patient-derived xenografts models harboring genomic MYC amplifications and reduces MYC protein levels in vivo. Furthermore, bi-steric mTORC1-selective inhibitors enhance the efficacy of immune checkpoint blockade, leading to tumor regression.

Mechanistic Target of Rapamycin Complex 1↗
PubMed2026

RNF43 Mutations Are Associated With the Classical Molecular Subtype, Vigorous Antitumor Immune Responses, and Prolonged Survival in Pancreatic Adenocarcinoma.

RNF43 mutations were correlated with microsatellite status in colorectal cancer and with fewer and later recurrences in pancreatic ductal adenocarcinoma (PDAC). Here, we undertake a detailed assessment of RNF43 mutations in PDAC. A total of 313 PDACs (308 microsatellite stable [MSS] and 5 microsatellite-instable [MSI] cases) underwent next-generation sequencing (Oncomine Tumor Mutation Load assay; Thermo Fisher). Spatial analyses (NanoString) classified PDACs according to their transcriptomic and proteomic immune signaling. Fluorescent imaging was used to define spatial compartments (tumor: pancytokeratin+/CD45- and leukocytes: pancytokeratin-/CD45+). Each of 20 PDACs with RNF43 mutations (RNF43mut) and without RNF43 mutations (RNF43wt) underwent multiplex immunofluorescence analysis to determine immune status. A total of 153 PDACs (22 RNF43mut and 131 RNF43wt cases) underwent bulk RNA sequencing to assign into molecular subtypes. Overall, 24 RNF43 mutations were identified (22 MSS PDACs and 2 MSI PDACs). The incidence of RNF43 mutations in MSS PDACs (7.1%) was consistent with The Cancer Genome Atlas (6.7%). However, RNF43 mutations were more frequent among MSI PDACs (40%). Additionally, RNF43mut had differential frequencies of other mutations (including Wnt pathway genes), higher tumor mutational burden values (5.5 mut/mb vs 1.67 mut/mb; P < .01), and significantly longer overall survival (47 vs 18 months; P < .0001) than RNF43wt. Moreover, RNF43mut exhibited significantly higher densities of CD8+ T lymphocytes, dendritic cells, and B lymphocytes (P < .001) and an upregulation of ITGAX, CD11c, CD8, and HLA-DR compared with RNF43wt. Patients with RNF43mut PDACs were more often of the classical molecular subtype (20/22, 90.9%). RNF43mut PDACs showed high tumor mutational burden values, suggesting increased neoantigen load coupled with an abundance of antigen-presenting immune cells and an upregulation of immune determinants promoting antigen presentation. All this contributes to stronger antitumor immune responses and improved clinical outcomes.

Humans↗
PubMed2026

Pan-cancer landscape of APEX1 expression and genomic alterations: Associations with clinical outcomes and functional validation in lung cancer.

This pan-cancer study systematically evaluated APEX1 expression, genomic alteration status, and prognostic value across 13,270 tumors and 2544 normal tissues from TCGA and GTEx. APEX1 overexpression was prominent in bladder, breast, and colon adenocarcinomas and correlated with advanced tumor stages and survival outcomes in a cancer-type-specific manner, with unfavorable associations in selected tumor contexts and an opposite favorable association in KIRC. Low-frequency APEX1 genomic alterations require cautious interpretation and may be associated with adverse outcomes in selected tumor contexts. Statistical methods including t-tests, ANOVA, Cox regression, Benjamini-Hochberg false-discovery rate correction for cohort-wise OS analyses, and log-rank tests were used to correlate APEX1 expression or alteration status with survival outcomes. The findings suggest that APEX1 expression and low-frequency genomic alterations are associated with tumor progression and worse patient outcomes in selected cancer contexts. This study supports APEX1 as a candidate prognostic indicator requiring further validation and suggests its potential value for future clinical stratification research. The pan-cancer approach improves contextual breadth, and the large sample size adds robustness. The observed relevance of APEX1 across malignancies supports further evaluation of its value for risk stratification and treatment planning. Future prospective studies are needed to validate its clinical utility. This work contributes to the growing field of DNA repair-related biomarkers and may inform future studies of APEX1-targeted therapeutic strategies.

Apurinic/Apyrimidinic Endonuclease 1↗
PubMed2002

Apoptosis of immune cells in the tumor microenvironment and peripheral circulation of patients with cancer: implications for immunotherapy.

Rapid turnover of lymphocytes observed in patients with cancer appears to be driven by increased apoptosis of T lymphocytes or insufficient thymic output of recent thymic emigrants (RTE). Using multicolor flow cytometry and apoptosis assays, we found that CD8+CD95+Annexin+ T cells are dying at a rate that is significantly higher in patients with cancer than in normal controls (NC). CD8+ effector subsets of T cells were particularly vulnerable to apoptosis. Thymic excision circle (TREC) analysis of peripheral blood lymphocytes showed a decreased number of RTE in these patients. Together, the data suggest that a high rate of T-cell turnover might contribute to immunologic imbalance in patients with cancer and have unfavorable effects on immunotherapy, including therapeutic antitumor vaccines.

Apoptosis↗
PubMed2026

ITPRIPL1: A tumor immune-associated biomarker with prognostic and therapeutic implications in gastrointestinal cancer.

Inositol 1,4,5-trisphosphate receptor-interacting protein-like 1(ITPRIPL1) has recently been implicated in tumor-immune regulation, yet its tumor-type specificity and clinical relevance in gastrointestinal malignancies remain unclear. Here, we performed an integrative analysis of ITPRIPL1 across stomach adenocarcinoma (STAD), colon adenocarcinoma (COAD), rectal adenocarcinoma (READ), and esophageal carcinoma (ESCA) using bulk transcriptomics, immune pathway analyses, survival modeling, single-cell RNA sequencing, immunofluorescence validation, and therapeutic correlation analyses. Although ITPRIPL1 was upregulated across gastrointestinal cancers, its prognostic significance was highly tumor-specific, with elevated expression consistently predicting unfavorable survival only in STAD. In gastric cancer, ITPRIPL1 expression was closely associated with immune-related pathways and genomic instability features, and its prognostic association varied across immune contexts, particularly according to CD8&#x207a;/CD4&#x207a; T-cell abundance, with an exploratory association also observed for zeta-chain-associated protein kinase 70 (ZAP70) expression. Single-cell and immunofluorescence analyses demonstrated preferential enrichment of ITPRIPL1 in T cells and tumor-adjacent immune structures. Notably, Exploratory analyses further showed that higher ITPRIPL1 expression was associated with favorable survival outcomes in selected external pretreatment immunotherapy cohorts and with lower IC50 values for several agents in cancer cell-line pharmacogenomic datasets. Collectively, these findings identify ITPRIPL1 as an immune-associated biomarker with primary clinical relevance in gastric cancer.

Humans↗
PubMed2026

Competing subclones and fitness diversity shape tumor evolution across cancer types.

MOTIVATION: Intratumor heterogeneity arises from ongoing somatic evolution and complicates cancer diagnosis, prognosis, and treatment. Reconstructing evolutionary dynamics typically requires spatiotemporal samples, which are often unavailable in clinical settings. Computational approaches that can infer tumor evolutionary history from single-timepoint bulk sequencing data remain limited. RESULTS: We present estimating evolutionary events through single-timepoint sequencing (TEATIME), a novel computational framework that models tumors as mixtures of two competing cell populations: an ancestral clone with baseline fitness and a derived subclone with elevated fitness. Using cross-sectional bulk sequencing data, TEATIME estimates mutation rates, timing of subclone emergence, relative fitness, and number of generations of growth. To quantify intratumor fitness asymmetries, we introduce a novel metric-fitness diversity-which captures the imbalance between competing cell populations and serves as a measure of functional intratumor heterogeneity. Applying TEATIME to 33 tumor types from The Cancer Genome Atlas, we revealed divergent as well as convergent evolutionary patterns. Notably, we found that immune-hot microenvironments constraint subclonal expansion and limit fitness diversity. Moreover, we detected temporal dependencies in mutation acquisition, where early driver mutations in ancestral clones epistatically shape the fitness landscape, predisposing specific subclones to selective advantages. These findings underscore the importance of intratumor competition and tumor-microenvironment interactions in shaping evolutionary trajectories, driving intratumor heterogeneity. Lastly, we demonstrate that TEATIME-derived evolutionary parameters and fitness diversity offer novel prognostic insights across multiple cancer types. AVAILABILITY AND IMPLEMENTATION: R implementation of TEATIME is available on GitHub (https://github.com/liliulab/TEATIME) and Zenodo (https://zenodo.org/records/17422174).

Neoplasms↗
PubMed2025

Inflammatory pathways and immune dysregulation in pediatric postoperative septic shock: A study integrating transcriptomics, machine learning and molecular docking.

This study elucidates the molecular and immune regulatory mechanisms of pediatric postoperative septic shock. Transcriptomic data were obtained from the Gene Expression Omnibus database. Differentially expressed genes were identified using the limma package, and gene co-expression modules were constructed using Weighted Gene Co-expression Network Analysis. Functional enrichment was performed via gene set enrichment analysis, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes analyses. Immune cell infiltration was assessed using ESTIMATE and CIBERSORT. Mendelian randomization was applied to explore causal relationships between gene expression and septic shock. Feature genes were selected using machine learning algorithms, and a diagnostic nomogram model was constructed. Finally, molecular docking analysis was performed to screen and evaluate the binding affinity of traditional Chinese medicine monomers to core target proteins. A total of 1331 differentially expressed genes were identified, and the turquoise module was strongly correlated with septic shock. Enrichment analysis revealed significant activation of IL-6/JAK/STAT3, TNF-&#x3b1;/NF-&#x3ba;B, and PI3K/Akt/mTOR pathways. Immune infiltration analysis indicated suppressed immune scores and imbalances in neutrophils, macrophages, T cells, and B cells. Mendelian randomization confirmed causal associations for 6 genes, including PIM3. The predictive model based on feature genes demonstrated high diagnostic performance. Molecular docking suggested that quercetin and astramembrannin I could stably bind PIM3. This study systematically identified core genes, dysregulated immune pathways, and candidate small-molecule interventions in pediatric septic shock, providing novel insights for early diagnosis and targeted therapy.

Humans↗
PubMed2026

Pediatric sarcomas: challenges and opportunities.

Pediatric sarcomas are a heterogeneous group of rare mesodermal malignancies. These cancers, which affect children from infancy through adolescence and young adulthood, are in general challenging to treat with currently available therapies. Biologically, many are characterized by quiet genomes, fusion oncoproteins, immune "cold" microenvironments, and vast epigenetic deregulation that contributes to diverse and complex mechanistic drivers. Multifaceted advancements in research strategies, including high-throughput screening, new model systems, surfaceome profiling, and study of oncogenic fusion condensates have led to new opportunities for understanding the biology of pediatric sarcomas. To continue to make progress for these difficult to treat cancers, it will be critical to continue to improve access to bioinformatic data, approach patient care using innovative clinical trial frameworks, and foster interdisciplinary partnerships among medicinal chemists, scientists, clinicians, advocates, and industry partners.

Humans↗
PubMed2006

Elevated bioactivity of the tolerogenic cytokines, interleukin-10 and transforming growth factor-beta, in the blood of acutely malnourished weanling mice.

The main objective of this investigation was to determine the influence of acute deficits of protein and energy on the blood levels of interleukin-10 (IL-10) and transforming growth factor-beta (TGF-beta), physiologically the main anti-inflammatory and tolerogenic cytokines. In four 14-day experiments, male and female C57BL/6J mice, initially 19 days old, consumed a complete purified diet either ad libitum or in restricted daily quantities, or had free access to an isocaloric purified low-protein diet. A zero-time control group (19 days old) was included. In the first two experiments, serum IL-10 levels were assessed by sandwich enzyme-linked immunosorbent assay (ELISA) and bioassay. The mean serum IL-10 bioactivities were higher (P < or = 0.05) in both malnourished groups (low-protein and restricted intake: 15.8 and 12.2 ng/ml, respectively) than in the zero-time and age-matched control groups (6.3 and 7.3 ng/ml, respectively), whereas serum IL-10 immunoactivity was high only in the restricted intake group (e.g., second experiment: 17.0 pg/ml vs. 5.4, 3.7, and 3.1 pg/ml in the zero-time control, age-matched control and low-protein group, respectively). The third and fourth experiments centered on plasma TGF-beta immunoactivity (sandwich ELISA) and bioactivity, respectively. The ELISA revealed a high mean plasma TGF-beta1 level (P < or = 0.05) in the low-protein group only, but TGF-beta bioactivity (beta1 isoform, although 15% beta2 in the restricted intake group) was high in both malnourished groups (8.7 and 9.3 ng/ml in the low-protein and restricted groups, respectively) relative to the age-matched control group (0.5 ng/ml). Thus, metabolically distinct weanling systems mimicking marasmus and incipient kwashiorkor both exhibit a blood cytokine profile that points to a tolerogenic microenvironment within immune response compartments. A model emerges in which malnutrition-associated immune competence, at least in advanced weight loss, centers on cytokine-mediated peripheral tolerance that reduces the risk of catabolically induced autoimmune disease, but this is at the cost of attenuated responsiveness to infectious agents.

Animals↗
PubMed2025

Targeting anti-apoptosis as a therapeutic strategy in neuroendocrine neoplasms.

BCL-2 is an anti-apoptotic protein expressed by aggressive neuroendocrine neoplasms (NENs). We report a case of a patient with a pancreatic neuroendocrine tumor (pNET) who received venetoclax, a BCL-2-targeting drug for the treatment of chronic lymphocytic leukemia. We further characterized BCL2 expression in NENs from a large multi-institutional patient cohort. Clinical data were abstracted from the records of a patient with a pNET. Next-generation sequencing of DNA (592-gene panel or whole exome) and RNA (whole transcriptome) was performed on 636 NENs of pancreatic (P-NENs), small bowel (SB-NENs), colorectal (CR-NENs), and lung (L-NENs) origin by Caris Life Sciences. Comparisons were performed against site-matched non-NEN cancers. BCL2- or MKI67- high and low cohorts were defined based on the top and bottom quartiles of gene expression. The patient with a pNET who received venetoclax had a partial response in the primary tumor that lasted 30 months. CR-, L-, and P-NENs had significantly higher expression of BCL2 compared to non-NEN counterparts. BCL2 expression was significantly higher in MKI67-high tumors among all NEN subtypes. In P-NENs, there was a higher prevalence of RB1 mutations in BCL2-high vs BCL2-low (40 vs 4.9%, P < 0.005). Patients with BCL2-high P-NENs had significantly decreased overall survival (HR 1.94, 95% CI 1.0-3.76, P = 0.047). Immune checkpoint gene expression and T cells were enriched in BCL2-high tumors across all subtypes. In summary, we report the first known case of a pancreatic NET with response to venetoclax. BCL2 expression correlated with high MKI67 expression, worse survival, and a highly immune-enriched microenvironment.

Aged↗
PubMed2026

Integrative analysis of single-cell sequencing identifies CD8+ TIM3+ CD101+ T cell-associated genes as prognostic biomarkers in breast cancer.

BACKGROUND: Breast cancer is a prevalent and deadly malignancy that significantly impacts women's quality of life and imposes financial burdens. Despite therapeutic advancements, tumour heterogeneity and frequent relapses remain major challenges. Accordingly, this study aimed to characterize immune features associated with CD8+ TIM3+ CD101+ T cells and develop a prognostic signature for breast cancer. METHODS: This study integrated single-cell and bulk transcriptomic datasets to characterize CD8+ TIM3+ CD101+ T cell (CCT)-related immune features and construct a prognostic signature in breast cancer. Single-cell RNA-seq data were sourced from the Gene Expression Omnibus (GEO) repository, and bulk transcriptomic data were from The Cancer Genome Atlas (TCGA) and GEO databases. Analytical methods included pseudo-time trajectory reconstruction (Monocle2), intercellular signalling analysis (CellChat), functional enrichment (ClusterProfiler), and immune profiling (ssGSEA). Prognostic modeling was conducted using least absolute shrinkage and selection operator (LASSO) Cox regression, with validation via Kaplan-Meier and time-dependent receiver operating characteristic (ROC) analyses. RESULTS: Single-cell analysis identified 17 clusters spanning seven cell types, including T cells, myeloid cells, and epithelial cells. T-cell sub-clustering revealed four subtypes. Pseudotime analysis suggested a potential state-transition relationship between CD8+ CD101- TIM3+ and CD8+ CD101+ TIM3+ T-cell states. A total of 121 differentially expressed genes were enriched in vital biological processes. An 11-gene prognostic model showed strong predictive power across cohorts. Single-cell T-cell reclustering identified a CD8+ CD101+ TIM3+ T-cell subpopulation, which was primarily characterized by the expression of markers such as CD101 and HAVCR2/TIM3. CONCLUSIONS: This study maps cellular heterogeneity and molecular networks in breast cancer, offering insights for targeted therapy and improved prognosis.

Breast invasive carcinoma↗
PubMed2004

Therapeutic efficacy of MUC1-specific cytotoxic T lymphocytes and CD137 co-stimulation in a spontaneous breast cancer model.

To study immunology in breast tumors, we have utilized a mammary gland adenocarcinoma model in which mice develop spontaneous tumors of the mammary gland which are initiated at puberty and express a human tumor antigen, MUC1. MUC1 (CD227) is over-expressed in 90% of human breast cancers and its glycosylation status and pattern of expression in cancer cells is altered. Humoral and cellular responses to MUC1 have been reported in breast cancer patients and therefore, MUC1 is being evaluated as a target for immune intervention. This mouse model of spontaneous breast cancer allows the evaluation of anti-MUC1 immune responses at all stages of the disease. In this report, we review the model as it pertains to a) the development of the tumor, b) MUC1 expression, and the native immune responses against MUC1 as tumors progress, and c) the immune suppressive microenvironment within the developing tumor. Finally, we report our latest findings describing the therapeutic efficacy of adoptively transferred MUC1-specific cytotoxic T lymphocytes (MUC1-CTL) in these mice and discuss ways to increase their effectiveness by agonistic monoclonal antibody against CD137 T cell costimulatory molecule.

Animals↗
PubMed2026

Longitudinal analysis of genomic and immune differences between primary and metastatic nasopharyngeal carcinoma for precision oncology.

INTRODUCTION: Nasopharyngeal carcinoma (NPC) is a common malignancy with a high incidence in Southern China and Southeast Asia. Distant metastasis remains a major cause of poor prognosis. This study aims to explore the genomic and immune microenvironmental changes in primary and metastatic NPC through longitudinal analysis, to provide insights for guiding precision treatment strategies. METHODS: We analyzed tumor samples from 11 male NPC patients with distant metastasis. Paired primary and metastatic samples underwent targeted whole-exome sequencing (551 genes) and RNA sequencing (289 genes). Multiplex immunohistochemistry was performed to assess immune cell composition and immune response markers. Genomic alterations and immune features were compared between primary and metastatic tumors, and their associations with clinical outcomes were evaluated. RESULTS: Metastatic tumors exhibited distinct chromosomal changes, including frequent 1q gain, while 6p gain showed a trend toward prolonged survival. Primary tumors showed stronger immune suppression characterized by increased B-cell and Treg infiltration and elevated CTLA4 and IDO1 expression, whereas metastatic lesions displayed more active immune responses. Liver metastases presented a distinct immune landscape with lower CD8+ T-cell density compared to non-liver metastases. In locoregionally advanced NPC, high expression of oncogenic genes such as EGFR and MYC correlated with shorter disease-free survival, while elevated PANCK expression and enhanced cytotoxicity were linked to better outcomes. These results delineate the molecular and immune evolution of NPC and provide a foundation for developing precision therapeutic strategies. CONCLUSION: This study identifies key molecular and immune features associated with NPC survival. Primary tumors show an immunosuppressive phenotype, suggesting potential benefits from combining CTLA4 or IDO1 inhibitors with PD-1 blockade. Liver metastases exhibit distinct immune features, supporting the need for site-specific precision therapies. These findings contribute to personalized management strategies in NPC, guiding treatment based on molecular and immune profiles.

distant metastasis↗