Immune Antigen Research Articles

Advancements in cellular immunotherapy: overcoming resistance in lung and colorectal cancer

Immunotherapy has revolutionized cancer treatment, offering hope for patients with otherwise treatment-resistant tumors. Among the most promising approaches are cellular therapies, particularly chimeric antigen receptor T-cell (CAR-T) therapy, which has shown remarkable success in hematologic malignancies. However, the application of these therapies to solid tumors, such as lung and colorectal cancers, has faced significant challenges. Tumor resistance mechanisms—ranging from immune evasion, antigen loss, and immune checkpoint upregulation, to tumor microenvironment immunosuppression—remain major obstacles. This mini-review highlights the latest advancements in tumor immunotherapy, with a focus on cellular therapies, and addresses the resistance mechanisms that hinder their effectiveness in lung and colorectal cancers. We examine the evolution of CAR-T cell therapy, as well as the potential of engineered natural killer (NK) cells and macrophages in solid tumor treatment. The review also explores cutting-edge strategies aimed at overcoming resistance, including combination therapies, gene editing technologies, and nanotechnology for targeted drug delivery. By discussing the molecular, cellular, and microenvironmental factors contributing to resistance, we aim to provide a comprehensive overview of how these challenges can be overcome, paving the way for more effective, personalized immunotherapies in lung and colorectal cancer treatment.

A comprehensive analysis of molecular characteristics of hot and cold tumor of gastric cancer

BackgroundThe advent of immunotherapy has revolutionized the treatment paradigm for gastric cancer (GC), offering unprecedented clinical benefits. However, a detailed molecular characterization of the tumor immune microenvironment in GC is essential to further optimize these therapies and enhance their efficacy.MethodsConsensus clustering was utilized to classify GC patients into distinct immune states, followed by an in-depth analysis of differences in mutation profiles, copy number variations, and DNA methylation patterns. Weighted gene co-expression network analysis (WGCNA) and correlation analysis were applied to identify gene modules underlying the classification of immune “hot” and “cold” tumors. Subsequently, 101 machine learning algorithm combinations were employed to construct a prognostic model based on the identified gene modules. Single-cell analysis was conducted to investigate cellular interactions associated with the immune-determinant gene module. Finally, immunofluorescence staining for CD8, CD45, and CXCR4 was performed on human GC tissue samples.ResultsA total of 1,298 GC patients were included in this comprehensive analysis. For the first time, we identified and characterized immune “hot” and “cold” tumors in GC patients, revealing distinct molecular features associated with these tumor types. Immune “hot” tumor-related genes were identified, and their functional roles were validated through biological behavior analysis. A prognostic signature, termed the hot tumor top regulators (HTTR), was developed using 101 machine learning algorithm combinations. The HTTR signature emerged as an independent prognostic factor, effectively stratifying patients into low- and high-risk groups with significant differences in overall survival. High-risk groups demonstrated strong associations with immune checkpoint regulation, antigen presentation, and inhibitory pathways. Notably, single-cell analysis revealed that HTTR genes were highly active in CD8 + T cells, with the CXCL12-CXCR4 axis playing a critical role in mediating interactions between CD8 + T cells and endothelial cells.ConclusionIn conclusion, the HTTR signature served as a robust prognostic biomarker for GC patients and effectively identified those with immune “hot” tumors. This finding provided valuable insights into the molecular mechanisms of tumor immunity in GC, offering potential avenues for targeted therapeutic interventions.

Biological and therapeutic impact of tumor mutational burden in microsatellite instability/mismatch repair-deficient (MSI/dMMR) metastatic colorectal cancer (mCRC) treated with immune checkpoint inhibitors (ICI).

272 Background: Microsatellite instability (MSI) is linked to hypermutability and response to ICI(s), especially in colorectal cancer. The predictive impact of tumor mutational burden (TMB) in ICI-treated MSI/dMMR metastatic colorectal cancer remains controversial, with some studies suggesting low TMB as a potential biomarker of resistance to ICI(s). We aimed to investigate the biological relevance of TMB in MSI/dMMR mCRC and its impact on survival outcomes in ICI(s)-treated patients (pts). Methods: MSI/dMMR mCRC pts treated with ICI(s) from the NIPICOL trial (NCT03350126) and the immunoMSI prospective monocentric cohort with available data from whole exome sequencing (WES) and RNA-sequencing (RNA-seq) were included. All cases were centrally assessed for MSI and dMMR status. TMB was calculated as described (Dupain et al., BMC, 2024). The search for a cutpoint able to optimize the difference in survival between 2 groups of patients with low and high-TMB was applied. The main endpoint was progression free survival (PFS) by iRECIST criteria. The cohort (NIPICOL, immunoMSI) was included as a covariate in the analysis of differential gene expression and pathway enrichment, with various tumor mutational burden (TMB) thresholds evaluated, specifically 10 and 30 mutations per megabase (mut/Mb). Results: A total of 99 pts were analyzed, with 4 (4%) excluded after central MSI/dMMR status review. Of these, 52 received anti-PD1 plus anti-CTLA4 therapy, while 43 received anti-PD1 alone. Median follow-up was 25 months. Median TMB was 51.8 mut/Mb (IQR: 35.9-74.9). TMB was not predictive of patient PFS, whatever the TMB threshold applied, including cutpoints already reported in the literature, the 2-year PFS rates being 80% versus 80% for TMB ≤ 10 and > 10 mut/Mb, and 79% versus 82% for TMB ≤ 30 and > 30 mut/Mb, respectively. Multivariate analysis including treatment type confirmed no association between TMB and PFS (HR 1.00, 95% CI [0.97–1.04]). TMB levels were not linked with specific signalling pathways related to immune checkpoints or antigen presentation as evaluated by RNA-seq with Gene Set Enrichment Analysis (GSEA) at a TMB threshold of 10 or 30 mut/Mb. However pathways involved in cell proliferation (e.g., “cell cycle”, “DNA replication”) were increased in TMB high (adjusted p-value <0.05). RNA-seq signature quantification and deconvolution analysis revealed similar cell populations (e.g., fibroblasts, B cells, T cells) between high and low TMB groups at a TMB threshold of 10 and 30 mut/Mb. Conclusions: TMB has no survival impact for patients with ICI(s)-treated dMMR/MSI mCRC and does not discriminate two biologically distinct subpopulations. Other biomarkers should be developed for personalized medicine amongst these patients.

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

BackgroundUCK2 (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.MethodsWe 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.ResultsUCK2 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.ConclusionWe 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.

Neoadjuvant intratumoral MBT(A) immunotherapy prevents distant metastases and recurrence in murine models.

Neoadjuvant immunotherapy represents a pioneering approach in the preoperative treatment of cancer, providing new strategies for tumor reduction and improved patient outcomes by modulating the immune response. This study investigated neoadjuvant immunotherapy using intratumoral administration of mannan-BAM, Toll-like receptor ligands, and anti-CD40 antibody (MBTA therapy) followed by surgery in murine models of MTT pheochromocytoma, B16-F10 melanoma, and 4T1 and E0771.lmb mammary carcinomas. In the MTT pheochromocytoma model, it was found that neoadjuvant MBTA therapy followed by surgery could prevent the development of distant metastases in 100% of treated animals, compared to a 60% mortality rate in the control group due to metastatic disease after surgery. These outcomes were achieved even in tumors three times larger than those in the control group. In the aggressive 4T1 model, neoadjuvant MBTA therapy resulted in slower tumor progression and a significant prolongation of survival. In the B16-F10 and E0771.lmb models, neoadjuvant MBTA therapy also protected animals from metastases development and tumor recurrence upon rechallenge with tumor cells after surgery. Transcriptomic analysis revealed enhanced effector immune cell infiltration, cytotoxicity, and antigen presentation in retransplanted tumors from MBTA-treated mice, indicating robust immune memory. Notably, the exclusion of the anti-CD40 antibody from the neoadjuvant MBTA therapy (MBT therapy) yielded comparable outcomes in protection against metastases development. These findings advocate for further investigation of intratumoral neoadjuvant MBTA therapy for immunologically "cold" tumors, including those at high risk of metastases or recurrence.

Brain-wide cell-type-specific transcriptomic signatures of healthy ageing in mice

Biological ageing can be defined as a gradual loss of homeostasis across various aspects of molecular and cellular function1,2. Mammalian brains consist of thousands of cell types3, which may be differentially susceptible or resilient to ageing. Here we present a comprehensive single-cell RNA sequencing dataset containing roughly 1.2 million high-quality single-cell transcriptomes of brain cells from young adult and aged mice of both sexes, from regions spanning the forebrain, midbrain and hindbrain. High-resolution clustering of all cells results in 847 cell clusters and reveals at least 14 age-biased clusters that are mostly glial types. At the broader cell subclass and supertype levels, we find age-associated gene expression signatures and provide a list of 2,449 unique differentially expressed genes (age-DE genes) for many neuronal and non-neuronal cell types. Whereas most age-DE genes are unique to specific cell types, we observe common signatures with ageing across cell types, including a decrease in expression of genes related to neuronal structure and function in many neuron types, major astrocyte types and mature oligodendrocytes, and an increase in expression of genes related to immune function, antigen presentation, inflammation, and cell motility in immune cell types and some vascular cell types. Finally, we observe that some of the cell types that demonstrate the greatest sensitivity to ageing are concentrated around the third ventricle in the hypothalamus, including tanycytes, ependymal cells, and certain neuron types in the arcuate nucleus, dorsomedial nucleus and paraventricular nucleus that express genes canonically related to energy homeostasis. Many of these types demonstrate both a decrease in neuronal function and an increase in immune response. These findings suggest that the third ventricle in the hypothalamus may be a hub for ageing in the mouse brain. Overall, this study systematically delineates a dynamic landscape of cell-type-specific transcriptomic changes in the brain associated with normal ageing that will serve as a foundation for the investigation of functional changes in ageing and the interaction of ageing and disease.

Dual-targeted STAb-T cells secreting BCMA and CD19 T cell engagers for improved control of haematological cancers

ABSTRACT Despite recent advances in immunotherapy against B cell malignancies such as BCMA (B cell maturation antigen) and CD19-targeted treatments using soluble T cell-engaging (TCE) antibodies or chimeric antigen receptor T cells (CAR-T), there is still an important number of patients experiencing refractory/relapsed (R/R) disease. Approaches to avoid tumor-intrinsic mechanisms of resistance such as immune pressure-mediated antigen downmodulation, are being broadly investigated. These strategies include BCMA/CD19 dual-targeting therapies, which may be of particular interest to patients with B cell lymphoma and multiple myeloma, where a specific double-positive immature subpopulation is commonly associated with poor prognosis and poor response to current treatments. In fact, several clinical trials targeting both antigens through different strategies are currently underway. Here, based on the previously validated STAb (in situ secretion of T cell-redirecting bispecific antibodies) concept, we used two different engineering strategies (pool and co-transduction) to generate dual-targeted STAb-T cells simultaneously secreting BCMA TCE and CD19 TCE that outperformed single-targeted STAb-T cells in different in vitro models. These promising results encourage further preclinical clinical testing of dual STAb-T cells in R/R B-cell malignancies.

Next generation sequencing-based MSI scoring predict benefit in mismatch repair deficient tumors treated with nivolumab: follow-up on NCI-MATCH arm Z1D.

Mismatch repair deficient (dMMR) tumors have demonstrated favorable responses to immune checkpoint inhibition targeting PD-1. However, more in-depth identification of predictors of response could further refine patient selection for immunotherapy treatment. We undertook integrated evaluation performed on samples collected from 28 of 42 patients enrolled on the NCI-MATCH arm Z1D trial that evaluated PD-1 inhibition treatment with nivolumab in patients with non-colorectal dMMR tumors. Genomic analyses were performed using next-generation sequencing (NGS), whole exome sequencing, and RNA sequencing and supplemented by multiplex immunofluorescence performed on tissue samples. In this dMMR population, more extensive alterations of microsatellites as assessed by measures of NGS was associated with clinical benefit and tumor mutational burden. RNA sequencing further revealed associations between clinical benefit and immune infiltration index. Gene sets enriched in patients with clinical benefit included interferon signaling, antigen processing and PI3K-AKT-mTOR signaling, while hedgehog signaling was found to be enriched in subjects lacking clinical benefit. These genomic data highlight the importance of immune infiltration and antigen presentation in dMMR tumors that respond to immune checkpoint blockade. In addition, they suggest that, even within a dMMR population, NGS based measures of MSI could serve as biomarkers of immunotherapy response.

Urinary Immune Complexes Reflect Renal Pathology in Lupus Nephritis.

Lupus nephritis (LN) is a serious complication of systemic lupus erythematosus (SLE), involving immune complex deposition in the kidneys. While renal biopsy is the diagnostic gold standard, its invasiveness limits frequent use, driving the need for non-invasive urinary biomarkers to monitor disease progression and response to treatment. This study aimed to identify and validate urinary biomarkers for LN. Data from 10 LN-related omics databases, including urine, PBMCs, and kidney tissue, were analyzed. Differentially expressed proteins (DEPs) and genes (DEGs) were identified, and candidate biomarkers were validated via ELISA in an independent cohort of 87 urine samples. We identified 78 biomarkers, with 14 overlapping across transcriptomic categories. Novel urinary biomarkers, including SERPING1, SLPI, and CD48, were validated. Urinary CD163, VCAM1, and ALCAM levels showed significant differences between LN and healthy controls, while urinary immune complexes (ICx) demonstrated superior diagnostic performance, with urinary ALCAM-ICx and CCL21-ICx achieving the highest AUC values. Our findings highlight the potential of urinary immune complexes and antigens as non-invasive biomarkers for LN. ALCAM, CD163, and SERPING1-ICx, in particular, were found as promising candidates for a urinary biomarker panel to aid in the diagnosis and monitoring of LN.

Heterogeneous immune landscapes and macrophage dynamics in primary and lung metastatic adenoid cystic carcinoma of the head and neck.

Recurrent or metastatic adenoid cystic carcinoma (ACC) of the head and neck is rare and highly aggressive. Due to the ineffectiveness of immune checkpoint therapies, this study aims to investigate the tumor immune microenvironment of primary tumor tissues and lung metastatic tissues and to comprehend the challenges of immunotherapy. We analyzed RNA sequencing data and constructed immune landscapes from 25 primary tumors and 34 lung metastases. The data were then validated by immunohistochemistry and single-cell sequencing analysis. Compared to adjacent normal tissues, both primary and lung metastatic ACC showed low immune infiltration. Lung metastases had higher immune infiltration levels and antigen presentation scores but also higher T cell exclusion and dysfunction scores. Single-cell sequencing data and immunohistochemistry revealed abundant immunosuppressive tumor-associated macrophages in lung metastases. Patients with high M2 macrophage infiltration had shorter lung metastasis-free survival. Primary and lung metastatic ACC exhibit heterogeneous tumor immune microenvironments. Higher immune cell infiltration in lung metastases is countered by the presence of suppressive tumor-associated macrophages, which may limit effective anti-tumor responses.

FLT3 mutation-related immune checkpoint molecule absent in melanoma 2 (AIM2) contributes to immune infiltration in pediatric and adult acute myeloid leukemia: evidence from bioinformatics analysis.

The use of FMS-like tyrosine kinase 3 (FLT3) as a crucial target for kinase inhibitors is well established, but its association with immune infiltration remains unclear. This study aimed to explore the relationship between FLT3 mutations and immune checkpoint molecules (ICMs) in patients with acute myeloid leukemia (AML). The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases were used to identify the ICMs associated with FLT3 mutations. A Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and gene set enrichment analysis (GSEA) were conducted to analyze the signaling pathways related to the ICMs. The single-sample GSEA (ssGSEA), Cibersort, and estimate algorithms were used to assess immune cell infiltration in AML. Absent in melanoma 2 (AIM2) exhibits elevated expression levels in AML patients harboring FLT3 mutation, contributing significantly to the progress of AML and establishing of an immunosuppressive microenvironment. AIM2 expression significantly correlated with sensitivity of clinically relevant drugs in ex vivo assays of AML. Additionally, AIM2 demonstrates substantial prognostic value and holds promise as a prospective immunotherapeutic target for AML. Our findings indicate a significant correlation between AIM2 and immune infiltration in AML cases, potentially affecting the presence of neutrophils, macrophages, effector memory T cells (Tem), and monocytes. Furthermore, AIM2 is closely linked to various signaling pathways, such as immune cytokine release, immune antigen presentation, and inflammasome signaling, which could play a role in immune cell enrichment in AML. Our study identified AMI2 as an ICM linked to FLT3 mutations. AMI2 may be involved in the activation of suppressive immune cell populations, such as macrophages, neutrophils, and monocytes. AIM2 could serve as a promising immunotherapeutic target for combination therapy with FLT3 inhibitors in AML.

Evaluation of the Immunoadjuvant Effects of miR-155-Chitosan Polyplex on Leishmania major Infected Mice

ABSTRACT Background MicroRNAs have gained attention as key immunomodulators, with miR-155 specifically shown in various studies to drive macrophage polarization toward the classical phenotype. This polarization is crucial, as classical macrophages play a well-recognized role in differentiating type-1 immune responses and resisting Leishmania infection. Objective The present study aims to evaluate the anti-leishmanial immunoadjuvant effects of the miR-155 chitosan polyplex (miR-155 CP). Methods The anti-leishmanial immunoadjuvant activity of miR-155 CP synthesized by the coacervation method was assessed against L. major (MRHO/IR/75/ER) by analyzing the infectivity rate on RAW 264.7 cells in vitro.MiR-155 CP as an adjuvant co-administrated with soluble Leishmania antigen (SLA) for immunization of BALB/c mice, then the challenge was performed by subcutaneous injection of 1 × 106 L. major promastigotes. Eight weeks following the challenge, lesion size, parasite load, cytokine assay, and nitric oxide production were evaluated. Results The nanoparticles were produced with a size of 233.87 ± 8 nm and a zeta potential of + 22.6 ± 2 mV with good transfection efficiency. The mean infection index among pretreated cells with miR-155 CP (72±1.1) decreased significantly compared to the control group (420 ± 2.8). The parasite burden and the size of the lesions were significantly reduced in the immunized infected mice. Vaccination by miR-155 CP/SLA triggered the production of IFN-γ and NO and changed the cytokine profile of antigen-specific cells.Conclusion:The effectiveness of the SLA vaccine can be enhanced by including miR-155 CP as an adjuvant. SLA and miR-155 CP co-administration improve the type-1 immune response. This enhanced immune response helps prevent severe leishmaniasis.

A Quest for the Dual Role of Lymphatic Transport in Cancer: From Immune Surveillance to Tumour Dissemination

Background: Lymphatic transport is indispensable for maintaining tissue homeostasis and orchestrating immune surveillance. However, its association with solid tumor development and dissemination poses a paradox. While initially perceived as a passive conduit for metastasis, recent research highlights the active involvement of lymphatic vessels in tumor progression, inflammation, and immune surveillance. Objective: This study aims to elucidate the active mechanisms underlying lymphatic transport's contribution to peripheral tissue immunity and its dual role in tumor-associated immune responses. Additionally, it explores emerging areas of interest in targeted cancer immunotherapy. Methods: A comprehensive literature review was conducted to gather insights into the role of lymphatic transport in both physiological and pathological contexts, with a focus on cancer progression and immune modulation. Relevant studies and reviews were analyzed to provide current understanding and identify future directions in cancer immunotherapy. Results: Lymphatic vessels actively shape their transport function to influence peripheral tissue immunity, facilitating immune cell trafficking and antigen drainage. However, tumor-associated lymphatic remodeling disrupts this balance, promoting tumor dissemination and fostering a protumorigenic microenvironment. Emerging research implicates lymphatic vessels in the formation of tertiary lymphoid structures, immune surveillance in the central nervous system, and interactions with the microbiome, obesity, and aging, highlighting their multifaceted role in cancer immunity. Conclusion: Insights gained in lymphatic biology offer promising avenues for enhancing cancer immunotherapy by targeting lymphatic vessels and their transport function. A comprehensive understanding of lymphatic involvement in cancer pathogenesis supports its integration into therapeutic strategies to optimize immune surveillance and improve patient outcomes.

Abstract C011: The impact of reproductive factors on breast tumor and normal-adjacent tissue immune profile from menarche to menopause

Abstract Background: Reproductive factors and sex hormones are tightly linked to systemic immunity. However, no studies have examined whether reproductive factors and exogenous hormone use modulate the immune microenvironment of breast tissue. Methods: We prospectively evaluated the associations of reproductive factors (age at menarche, parity, age at first birth, age at menopause, and menopausal status) and exogenous hormone use (oral contraceptives, and menopausal hormone therapy (MHT)) with breast tumor and normal-adjacent tissue immune cell markers among 935 breast cancer cases in the Nurses’ Health Studies. We deconvoluted immune cell abundance using CIBERSORTx and derived gene expression signatures of markers for immune checkpoint (PD1, PDL1, and CTLA4), co-regulatory signal and antigen presentation (MHC class I/ II and T cell receptor) and mammary cytokine signaling (IFN gamma, IL2, IL4, IL12, IL13, TGF beta). Linear regression was used with adjustment for potential confounders. Results: Majority of participants had estrogen receptor (ER)-positive breast cancer (81%) and were post-menopausal at diagnosis (72%). Compared to tumors from pre-menopausal women, tumors from post-menopausal women had higher signature scores for tumor pro-inflammatory cytokine signaling (IFN gamma, IL2, IL4, IL12, IL13, TGF beta) and antigen presentation (FDR≤0.05). Several of the inflammatory cytokine signatures showed modest inverse relations with signatures of immune checkpoint markers (ρ=-0.3 to -0.4). Women who reported current use of estrogen only MHT had higher expression of CTLA4 in ER-positive breast tumors. For normal-adjacent tissues of ER-positive tumors, parity was associated with higher CD8+ T cell abundance, higher PDL1 expression and lower cytokine signaling in normal-adjacent tissues at p≤0.05; while breastfeeding was associated with lower abundance of CD8+ T cell and higher expression of cytokine signaling in normal-adjacent tissues of ER-negative tumors (p≤0.05). None of the associations in normal-adjacent tissues met FDR significance. The associations between other reproductive factors and immune cell profiles were in general weak. Conclusions: Our study suggests pre-diagnostic reproductive factors may influence breast tumor immune profiles. Future studies are needed to validate these results. Citation Format: Cheng Peng, Yuxi Liu, Yujing Heng, Clara Bodelon, Daniel Stover, Wendy Y. Chen, Michelle D. Holmes, A. Heather Eliassen, Peter Kraft, Rulla M. Tamimi. The impact of reproductive factors on breast tumor and normal-adjacent tissue immune profile from menarche to menopause [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr C011.

Intelligence algorithm for the treatment of gastrointestinal diseases based on immune monitoring and neuroscience: A revolutionary tool for translational medicine

The research team has developed an information system based on clinical blood cell analysis and designed and implemented highly innovative algorithms. A neural network model was created based on these feature data of the blood cell population. Artificial intelligence algorithms can label susceptible populations for digestive tract cancer with an accuracy rate of over 80 %. A multi universe optimized BP neural network model was implemented based on TCGA data of common immune antigens in clinical laboratories. The working mechanism of this model is to assign values to the parameters of the BP neural network by using the process of searching for the best fitness in multiple universes. This model can predict the five-year survival rate of patients based on immunohistochemical data. Based on these data, an AI algorithm was used to develop a clinical prognostic model with an accuracy rate of over 99 %. The research team used single-cell sequencing data to locate cell subtypes in the features of immunohistochemical data, providing a biological basis for artificial intelligence models. The research team explored the potential biological mechanisms of cancer progression and occurrence based on gastrointestinal neuroendocrine products, and these algorithms have contributed to the prediction of cancer survival and incidence,team invented a simple and efficient algorithm.

Enhancing Radiofrequency Ablation for Hepatocellular Carcinoma: Nano-Epidrug Effects on Immune Modulation and Antigenicity Restoration.

Radiofrequency ablation (RFA), a critical therapy for hepatocellular carcinoma (HCC), carries a significant risk of recurrence and metastasis, particularly owing to mechanisms involving immune evasion and antigen downregulation via epigenetic modifications. This study introduces a "nano-epidrug" named MFMP. MFMP, which is composed of hollow mesoporous manganese dioxide (MnO2) nanoparticles, FIDAS-5 as an MAT2A inhibitor, macrophage membrane, and anti-PD-L1 (aPD-L1), targets HCC cells. By selectively binding to these cells, MFMP initially reverses immune suppression via PD-L1 inhibition. After endocytosis, MFMP disassembles in the tumor microenvironment, releasing FIDAS-5 and Mn2+. FIDAS-5 prevents cGAS methylation, whereas Mn2+ aids STING pathway restoration. In addition, FIDAS-5 reduces m6A RNA modification, suppressing EGFR expression. These changes enhance HCC antigenicity to promote cytotoxic T cell recognition and cytotoxic killing. Furthermore, MFMP mediates immunogenic cell death in HCC by synergizing with RFA through cGAS DNA demethylation, EGFR mRNA demethylation, and TBK1 protein phosphorylation, thereby inhibiting recurrence and metastasis and enhancing immune memory. Thus, MFMP is a potential adjunctive therapy requiring clinical validation.

Enhancing anti-EGFRvIII CAR T cell therapy against glioblastoma with a paracrine SIRPγ-derived CD47 blocker

A significant challenge for chimeric antigen receptor (CAR) T cell therapy against glioblastoma (GBM) is its immunosuppressive microenvironment, which is densely populated by protumoral glioma-associated microglia and macrophages (GAMs). Myeloid immune checkpoint therapy targeting the CD47-signal regulatory protein alpha (SIRPα) axis induces GAM phagocytic function, but CD47 blockade monotherapy is associated with toxicity and low bioavailability in solid tumors. In this work, we engineer a CAR T cell against epidermal growth factor receptor variant III (EGFRvIII), constitutively secreting a signal regulatory protein gamma-related protein (SGRP) with high affinity to CD47. Anti-EGFRvIII-SGRP CAR T cells eradicate orthotopic EGFRvIII-mosaic GBM in vivo, promoting GAM-mediated tumor cell phagocytosis. In a subcutaneous CD19+ lymphoma mouse model, anti-CD19-SGRP CAR T cell therapy is superior to conventional anti-CD19 CAR T. Thus, combination of CAR and SGRP eliminates bystander tumor cells in a manner that could overcome main mechanisms of CAR T cell therapy resistance, including immune suppression and antigen escape.

Effect of neutrophils on tumor immunity and immunotherapy resistance with underlying mechanisms.

Neutrophils are key mediators of the immune response and play essential roles in the development of tumors and immune evasion. Emerging studies indicate that neutrophils also play a critical role in the immunotherapy resistance in cancer. In this review, firstly, we summarize the novel classification and phenotypes of neutrophils and describe the regulatory relationships between neutrophils and tumor metabolism, flora microecology, neuroendocrine and tumor therapy from a new perspective. Secondly, we review the mechanisms by which neutrophils affect drug resistance in tumor immunotherapy from the aspects of the immune microenvironment, tumor antigens, and epigenetics. Finally, we propose several promising strategies for overcoming tumor immunotherapy resistance by targeting neutrophils and provide new research ideas in this area.

Regulation of cell-mediated immune responses in dairy bulls via long non-coding RNAs from submandibular lymph nodes, peripheral blood, and the spleen

Cell-mediated immune responses (CMIRs) are critical to building a robust immune system and reducing disease susceptibility in cattle. Long non-coding RNAs (lncRNAs) regulate various biological processes. However, to the best of our knowledge, the characterization and functions of lncRNAs and their regulations on the bovine CMIR have not been investigated comprehensively. In this study, experimental bulls were immunized with heat-killed preparation of Candida albicans (HKCA) to induce delayed-type hypersensitivity (DTH). Three bulls were classified as high- CMIR responders and three were low-CMIR responders, based on their classical DTH skin reactions. LncRNAs were identified in the submandibular lymph nodes, peripheral blood, and spleen of high- and low-CMIR animals using strand-specific RNA sequencing. A total of 21,003 putative lncRNAs were identified across tissues, and 420, 468, and 599 lncRNAs were differentially expressed between the two groups in the submandibular lymph node, peripheral blood, and spleen tissues, respectively. Functional analysis of the differentially expressed lncRNA (DElncRNA) target genes showed that a number of immune-related Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were enriched, including immune response, cell adhesion, nucleosome, DNA packaging, antigen processing and presentation, and complement and coagulation cascades. Tissue specificity analysis indicated that lncRNA transcripts have stronger tissue specificity than mRNA. Furthermore, an interaction network was constructed based on DElncRNAs and DEGs, and 11, 14, and 11 promising lncRNAs were identified as potential candidate genes influencing immune response regulation in submandibular lymph nodes, peripheral blood, and spleen tissues, respectively. These results provide a foundation for further research into the biological functions of lncRNAs associated with bovine CMIR and identify candidate lncRNA markers for cell-mediated immune responses.

2022 AAHA Canine Vaccination Guidelines (2024 Update).

Vaccination is a cornerstone of canine preventive healthcare and one of the most cost-effective ways of maintaining a dog's health, longevity, and quality of life. Canine vaccination also serves a public health function by forming a barrier against several zoonotic diseases affecting dogs and humans. Canine vaccines are broadly categorized as containing core and noncore immunizing antigens, with administration recommendations based on assessment of individual patient risk factors. The guidelines include a comprehensive table listing canine core and noncore vaccines and a recommended vaccination and revaccination schedule for each vaccine. The guidelines explain the relevance of different vaccine formulations, including those containing modified-live virus, inactivated, and recombinant immunizing agents. Factors that potentially affect vaccine efficacy are addressed, including the patient's prevaccination immune status and vaccine duration of immunity. Because animal shelters are one of the most challenging environments for prevention and control of infectious diseases, the guidelines also provide recommendations for vaccination of dogs presented at or housed in animal shelters, including the appropriate response to an infectious disease outbreak in the shelter setting. The guidelines explain how practitioners can interpret a patient's serological status, including maternally derived antibody titers, as indicators of immune status and suitability for vaccination. Other topics covered include factors associated with postvaccination adverse events, vaccine storage and handling to preserve product efficacy, interpreting product labeling to ensure proper vaccine use, and using client education and healthcare team training to raise awareness of the importance of vaccinations.