Role In Cancer Immunotherapy Research Articles

Induced Necroptosis and Its Role in Cancer Immunotherapy

Necroptosis is a type of regulated cell death (RCD) that is triggered by changes in the extracellular or intracellular milieu that are picked up by certain death receptors. Thanks to its potent capacity to induce immunological responses and overcome apoptotic resistance, it has garnered significant attention as a potential cancer treatment. Basic information for the creation of nano-biomedical treatments is provided by studies on the mechanisms underlying tumor necroptosis. Receptor-interacting protein kinase 1 (RIPK1)–RIPK3-mediated necroptosis, Toll-like receptor domain-containing adapter-inducing interferon (IFN)-β (TRIF)–RIPK3-mediated necroptosis, Z-DNA-binding protein 1 (ZBP1)–RIPK3-mediated necroptosis, and IFNR-mediated necroptosis are the four signaling pathways that collectively account for triggered necroptosis in this review. Necroptosis has garnered significant interest as a possible cancer treatment strategy because, in contrast to apoptosis, it elicits immunological responses that are relevant to therapy. Thus, a thorough discussion is held on the connections between tumor cell necroptosis and the immune environment, cancer immunosurveillance, and cells such as dendritic cells (DCs), cytotoxic T cells, natural killer (NK) cells, natural killer T (NKT) cells, and their respective cytokines. Lastly, a summary of the most recent nanomedicines that cause necroptosis in order to cause immunogenic cell death is provided in order to emphasize their promise for cancer immunotherapy.

Thymosin α1 reverses oncolytic adenovirus-induced M2 polarization of macrophages to improve antitumor immunity and therapeutic efficacy

Although oncolytic adenoviruses are widely studied for their direct oncolytic activity and immunomodulatory role in cancer immunotherapy, the immunosuppressive feedback loop induced by oncolytic adenoviruses remains to be studied. Here, we demonstrate that type V adenovirus (ADV) induces the polarization of tumor-associated macrophages (TAMs) to the M2 phenotype and increases the infiltration of regulatory Tcells (Tregs) in the tumor microenvironment (TME). By selectively compensating for these deficiencies, thymosin alpha 1 (Tα1) reprograms "M2-like" TAMs toward an antitumoral phenotype, thereby reprogramming the TME into a state more beneficial for antitumor immunity. Moreover, ADVTα1 is constructed by harnessing the merits of all the components for the aforementioned combinatorial therapy. Both exogenously supplied and adenovirus-produced Tα1 orchestrate TAM reprogramming and enhance the antitumor efficacy of ADV via CD8+ Tcells, showing promising prospects for clinical translation. Our findings provide inspiration for improving oncolytic adenovirus combination therapy and designing oncolytic engineered adenoviruses.

The expanding universe of type I regulatory Tcell biology: a new role in cancer immunotherapy.

In this article, we discuss new findings which suggest that type I regulatory T (Tr1) cells can interfere with cancer vaccine efficacy in mice by exerting strong regulatory control over antitumor immune responses.

RNA Methylation and Tumor Occurrence

RNA methylation is a post-transcriptional modification involving the addition of methyl groups to RNA molecules, playing a crucial role in gene expression regulation. Recent studies have highlighted the importance of RNA methylation, particularly N6-methyladenosine (m6A) modification, in cancer development and progression. RNA methylation affects mRNA stability, splicing, transport, and translation, thereby regulating various aspects of tumor cell biology, including proliferation, migration, and apoptosis. Abnormal RNA methylation patterns are closely linked to tumor aggressiveness and drug resistance, with dysregulation of methylation writers, erasers, and readers contributing to cancer onset and progression. Moreover, RNA methylation plays a significant role in cancer immunotherapy by influencing tumor cell immune evasion, offering new therapeutic targets. Future research should focus on elucidating the specific mechanisms of RNA methylation in different cancer types and its interactions with the tumor microenvironment. As technologies advance, RNA methylation modulators hold promising potential for cancer treatment, providing new strategies and therapeutic targets.

Microbiota-Derived Short-Chain Fatty Acids Boost Antitumoral Natural Killer Cell Activity.

Background: The intestinal microbiota can regulate numerous host functions, including the immune response. Through fermentation, the microbiota produces and releases microbial metabolites such as short-chain fatty acids (SCFAs), which can affect host homeostasis. There is growing evidence that the gut microbiome can have a major impact on cancer. Specific gut microbial composition and metabolites are associated with tumor status in the host. However, their effects on the antitumor response have scarcely been investigated. Natural killer (NK) cells play an important role in antitumor immunity due to their ability to directly identify and eliminate tumor cells. Methods: The aim of this study was to investigate the effects of SCFAs on antitumoral NK cell activity, using NK-92 cell line. Results: Here, we describe how SCFAs can boost antitumoral NK cell activity. The SCFAs induced the release of NK extracellular vesicles and reduced the secretion of the anti-inflammatory cytokine IL-10. The SCFAs also increased the cytotoxicity of the NK cells against multiple myeloma cells. Conclusions: Our results indicate, for the first time, the enormous potential of SCFAs in regulating antitumoral NK cell defense, where modulation of the SCFAs' production could play a fundamental role in cancer immunotherapy.

Glyco-signatures in patients with advanced lung cancer during anti-PD-1/PD-L1 immunotherapy.

Immune checkpoint inhibitors (ICIs) targeting programmed cell death 1/programmed cell death ligand-1 (PD-1/PD-L1) have significantly prolonged the survival of advanced/metastatic patients with lung cancer. However, only a small proportion of patients can benefit from ICIs, and clinical management of the treatment process remains challenging. Glycosylation has added a new dimension to advance our understanding of tumor immunity and immunotherapy. To systematically characterize anti-PD-1/PD-L1 immunotherapy-related changes in serum glycoproteins, a series of serum samples from 12 patients with metastatic lung squamous cell carcinoma (SCC) and lung adenocarcinoma (ADC), collected before and during ICIs treatment, are firstly analyzed with mass-spectrometry-based label-free quantification method. Second, a stratification analysis is performed among anti-PD-1/PD-L1 responders and non-responders, with serum levels of glycopeptides correlated with treatment response. In addition, in an independent validation cohort, a large-scale site-specific profiling strategy based on chemical labeling is employed to confirm the unusual characteristics of IgG N-glycosylation associated with anti-PD-1/PD-L1 treatment. Unbiased label-free quantitative glycoproteomics reveals serum levels' alterations related to anti-PD-1/PD-L1 treatment in 27 out of 337 quantified glycopeptides. The intact glycopeptide EEQFN 177STYR (H3N4) corresponding to IgG4 is significantly increased during anti-PD-1/PD-L1 treatment (FC=2.65, P=0.0083) and has the highest increase in anti-PD-1/PD-L1 responders (FC=5.84, P=0.0190). Quantitative glycoproteomics based on protein purification and chemical labeling confirms this observation. Furthermore, obvious associations between the two intact glycopeptides (EEQFN 177STYR (H3N4) of IgG4, EEQYN 227STFR (H3N4F1) of IgG3) and response to treatment are observed, which may play a guiding role in cancer immunotherapy. Our findings could benefit future clinical disease management.

Neutrophils in glioma microenvironment: from immune function to immunotherapy.

Glioma is a malignant tumor of the central nervous system (CNS). Currently, effective treatment options for gliomas are still lacking. Neutrophils, as an important member of the tumor microenvironment (TME), are widely distributed in circulation. Recently, the discovery of cranial-meningeal channels and intracranial lymphatic vessels has provided new insights into the origins of neutrophils in the CNS. Neutrophils in the brain may originate more from the skull and adjacent vertebral bone marrow. They cross the blood-brain barrier (BBB) under the action of chemokines and enter the brain parenchyma, subsequently migrating to the glioma TME and undergoing phenotypic changes upon contact with tumor cells. Under glycolytic metabolism model, neutrophils show complex and dual functions in different stages of cancer progression, including participation in the malignant progression, immune suppression, and anti-tumor effects of gliomas. Additionally, neutrophils in the TME interact with other immune cells, playing a crucial role in cancer immunotherapy. Targeting neutrophils may be a novel generation of immunotherapy and improve the efficacy of cancer treatments. This article reviews the molecular mechanisms of neutrophils infiltrating the central nervous system from the external environment, detailing the origin, functions, classifications, and targeted therapies of neutrophils in the context of glioma.

Assessment of cancer cell-expressed HLA class I molecules and their immunopathological implications.

Immunotherapy using immune checkpoint inhibitors (ICIs) has shown superior efficacy compared with conventional chemotherapy in certain cancer types, establishing immunotherapy as the fourth standard treatment alongside surgical intervention, chemotherapy, and radiotherapy. In cancer immunotherapy employing ICIs, CD8-positive cytotoxic T lymphocytes are recognized as the primary effector cells. For effective clinical outcomes, it is essential that the targeted cancer cells express HLA class I molecules to present antigenic peptides derived from the tumor. However, cancer cells utilize various mechanisms to downregulate or lose HLA class I molecules from their surface, resulting in evasion from immune surveillance. Correlations between prognosis and the integrity of HLA class I molecules expressed by cancer cells have been consistently found across different types of cancer. This paper provides an overview of the regulatory mechanisms of HLA class I molecules and their role in cancer immunotherapy, with a particular emphasis on the significance of utilizing pathological tissues to evaluate HLA class I molecules expressed in cancer cells.

DNA Checkpoint Gene Mutation as a Biomarker for Immune Checkpoint Inhibitor Therapy in Advanced Biliary Tract Cancer.

The DNA checkpoint (DNACHK) pathway is engaged in signaling the need for cell cycle arrest. This pathway is being actively researched to assess its role in cancer immunotherapy. A total of 62 patients participated in this study. These patients were treated with immune checkpoint inhibitors (ICIs) for advanced biliary tract cancers (BTCs) from March 2020 to August 2022 at Samsung Medical Center. DNACHK mutated were defined as genomic alterations, such as single nucleotide variants, multi-nucleotide variants, and short insertion and deletions in seven genes; checkpoint kinase 1 (CHEK1), checkpoint kinase 2 (CHEK2), BRCA1, DNA repair-associated (BRCA1), the serine/threonine kinase ATM, the serine/threonine kinase ATR, mediator of DNA damage checkpoint 1 (MDC1) and tumor protein p53 binding protein 1 (TP53BP1). We analyzed the effect of DNACHK mutations on the efficacy of ICIs in advanced BTCs. Patient median age at diagnosis was 68.0 years. 10 patients (16.1%) had GB cancer; the remaining patients (n=52, 83.9%) were diagnosed with cholangiocarcinoma. Thirty-seven (59.7%) patients were categorized into the DNACHK wild-type (WT) group and 25 (40.3%) into the DNACHK mutated (MT) group. The most observed DNA checkpoint mutations were ATM mutations (n=14). Patients in the DNACHK MT group had better disease control rate (DCR) than patients in the DNACHK WT (60.0% vs. 48.6%, p=0.53). Median overall survival (OS) was 8.1 months (95% CI 5.1-22.8) in the MT group and 5.6 months (95%CI 3.1-11.0) in the WT group (p=0.33). The DNACHK pathway is expected to serve as a potential biomarker for ICI treatment.

Deep learning predictions of TCR-epitope interactions reveal epitope-specific chains in dual alpha T cells

T cells have the ability to eliminate infected and cancer cells and play an essential role in cancer immunotherapy. T cell activation is elicited by the binding of the T cell receptor (TCR) to epitopes displayed on MHC molecules, and the TCR specificity is determined by the sequence of its α and β chains. Here, we collect and curate a dataset of 17,715 αβTCRs interacting with dozens of class I and class II epitopes. We use this curated data to develop MixTCRpred, an epitope-specific TCR-epitope interaction predictor. MixTCRpred accurately predicts TCRs recognizing several viral and cancer epitopes. MixTCRpred further provides a useful quality control tool for multiplexed single-cell TCR sequencing assays of epitope-specific T cells and pinpoints a substantial fraction of putative contaminants in public databases. Analysis of epitope-specific dual α T cells demonstrates that MixTCRpred can identify α chains mediating epitope recognition. Applying MixTCRpred to TCR repertoires from COVID-19 patients reveals enrichment of clonotypes predicted to bind an immunodominant SARS-CoV-2 epitope. Overall, MixTCRpred provides a robust tool to predict TCRs interacting with specific epitopes and interpret TCR-sequencing data from both bulk and epitope-specific T cells.

STING pathway as a cancer immunotherapy: Progress and challenges in activating anti-tumor immunity.

The stimulator of the interferon genes (STING) signaling pathway plays a crucial role in innate immunity by detecting cytoplasmic DNA and initiating antiviral host defense mechanisms. The STING cascade is triggered when the enzyme cyclic GMP-AMP synthase (cGAS) binds cytosolic DNA and synthesizes the secondary messenger cGAMP. cGAMP activates the endoplasmic reticulum adaptor STING, leading to the activation of kinases TBK1 and IRF3 that induce interferon production. Secreted interferons establish an antiviral state in infected and adjacent cells. Beyond infections, aberrant DNA in cancer cells can also activate the STING pathway. Preclinical studies have shown that pharmacological STING agonists like cyclic dinucleotides elicit antitumor immunity when administered intratumorally by provoking innate and adaptive immunity. Combining STING agonists with immune checkpoint inhibitors may improve outcomes by overcoming tumor immunosuppression. First-generation STING agonists encountered challenges like poor pharmacokinetics, limited tumor specificity, and systemic toxicity. The development of the next-generation STING-targeted drugs to realize the full potential of engaging this pathway for cancer treatment can be a solution to overcome the current challenges, but further studies are required to determine optimal applications and combination regimens for the clinic. Notably, the controlled activation of STING is needed to preclude adverse effects. This review explores the mechanisms and effects of STING activation, its role in cancer immunotherapy, and current challenges.

Abstract 4955: An analytic pipeline of neoantigen selection for both MHC-I and MHC-II pathways

Abstract Background: Accurate neoantigen selection is pivotal for assessing mutation burden and optimizing cancer vaccine formulation thereby playing a crucial role in cancer immunotherapy. The concurrent activation of CD4+ and CD8+ T cells engenders a robust immune response, which is key to effective treatment. However, currently analytic tools predominantly focus on the MHC-I pathway, typically relying on metrics such as gene expression level and MHC-binding affinity of mutated peptides. To address this gap, our study presents a comprehensive pipeline that encompasses both MHC-I and MHC-II pathways and integrates three critical dimensions of immune response: neoantigen abundance, presentation, and immunogenicity. Methods: We estimated mutated peptide abundance by analyzing genomic allelic frequency, transcriptomic allelic frequency, and RNA expression level. Antigen presentation was assessed using the patient harmonic binding rank (PHBR, a composite binding score for all potential MHC-peptide pairs) and MHC diversity (the variety of MHC alleles involved in peptide binding), with additional consideration for the loss of heterozygosity of MHC-I alleles, potentially indicative of immune escape. For immunogenicity, we factored in agretopicity (comparison of MHC-binding affinity between mutated and wild-type peptides), foreignness (similarity to immunogenic foreign antigens), and dissimilarity (sequence disparity with self-peptides, reflecting T cell negative selection process). Results: Implementing our pipeline on a dataset from Parkhurst et al. (2019), we analyzed immune reactivity in relation to 11,537 somatic mutations from 75 gastrointestinal cancer patients. Key metrics—RNA expression, transcriptomic allelic frequencies, PHBR, and MHC diversity—demonstrated significant correlations with both CD4+ and CD8+ activity (p<0.05). Notably, genomic allelic frequency was a significant factor in CD8+ reactivity, whereas agretopicity was crucial for CD4+ reactivity. Conclusion: Our pipeline elucidates the necessity for implementing both MHC-I and MHC-II pathway analyses to effectively select neoantigen candidates for CD8+ and CD4+ T cells respectively. The study confirms that abundance and antigen presentation metrics are robust indicators of neoantigen immunogenicity, supporting their use as potential markers in crafting more effective cancer vaccines. The findings highlight the critical role of this dual-pathway selection approach in generating a comprehensive immune response through neoantigen vaccination. Citation Format: Ko-Han Lee, Timothy Sears, Andrea Castro, Maurizio Zanetti, Hannah Carter. An analytic pipeline of neoantigen selection for both MHC-I and MHC-II pathways [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4955.

Abstract 7624: DNA checkpoint gene mutation as a biomarker of immune checkpoint inhibitor in advanced biliary tract cancer

Abstract Introduction: The DNA checkpoint (DNACHK) pathway is engaged in signaling the need for cell cycle arrest. The G1 and S phase checkpoint allows for repair of damaged DNA, preventing damaged DNA from being copied. The G2 and M phase checkpoint prevents transmission of mutated DNA to the next generation. This pathway, along with mismatch repair (MMR), homologous recombination (HR), and base excision repair (BER), is being actively researched to assess its role in cancer immunotherapy. Methods: Sixty-two patients participated in this study. These patients were treated with immune checkpoint inhibitors (ICIs) for advanced biliary tract cancers (BTCs) from Mar. 2020 to Aug. 2022 at Samsung Medical Center. DNACHK mutations were defined as genomic alterations such as SNVs, MNVs, and short insertion and deletions in seven genes These genes include checkpoint kinase 1 (CHEK1), checkpoint kinase 2 (CHEK2), BRCA1, DNA repair associated (BRCA1), the serine/threonine kinase ATM, the serine/threonine kinase ATR, and mediator of DNA damage checkpoint 1 (MDC1). We analyzed the effect of DNACHK mutations on the efficacy of ICIs in advanced BTCs. Results: Patient median age at diagnosis was 68.0 years. Ten patients (16.1%) had gall bladder (GB) cancer; the remaining patients (n = 52, 83.9%) were diagnosed with cholangiocarcinoma. Among the 62 patients with advanced BTCs treated with ICIs, 37 (59.7%) were categorized into the DNACHK wild-type (WT) group and 25 (40.3%) into the DNACHK mutated (MT) group. The most observed DNA checkpoint mutations were ATM mutations (n=14). MDC1 mutations were found in seven patients, ATR mutations in three, BRCA1 mutations in four, and CHEK2 mutations in three. Patients in the DNACHK MT group had better disease control rates than patients in the DNACHK WT group (60.0% vs. 48.6%, p=0.53). Median overall survival (OS) was 8.1 months (95% CI, 5.1, 22.8) in the MT group and 5.6 months (95% CI, 3.1, 11.0) in the WT group (p=0.33). Conclusions: The results of this study suggest that the DNACHK pathway may be a valuable source of biomarkers for ICI and worthy of further study. Citation Format: Ji Eun Shin, Seung Tae Kim, Dae-Ho Choi, Junho Lee, Jiyeon Hyeon. DNA checkpoint gene mutation as a biomarker of immune checkpoint inhibitor in advanced biliary tract cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7624.

Advancements in γδT cell engineering: paving the way for enhanced cancer immunotherapy.

Comprising only 1-10% of the circulating T cell population, γδT cells play a pivotal role in cancer immunotherapy due to their unique amalgamation of innate and adaptive immune features. These cells can secrete cytokines, including interferon-γ (IFN-γ) and tumor necrosis factor-α (TNF-α), and can directly eliminate tumor cells through mechanisms like Fas/FasL and antibody-dependent cell-mediated cytotoxicity (ADCC). Unlike conventional αβT cells, γδT cells can target a wide variety of cancer cells independently of major histocompatibility complex (MHC) presentation and function as antigen-presenting cells (APCs). Their ability of recognizing antigens in a non-MHC restricted manner makes them an ideal candidate for allogeneic immunotherapy. Additionally, γδT cells exhibit specific tissue tropism, and rapid responsiveness upon reaching cellular targets, indicating a high level of cellular precision and adaptability. Despite these capabilities, the therapeutic potential of γδT cells has been hindered by some limitations, including their restricted abundance, unsatisfactory expansion, limited persistence, and complex biology and plasticity. To address these issues, gene-engineering strategies like the use of chimeric antigen receptor (CAR) T therapy, T cell receptor (TCR) gene transfer, and the combination with γδT cell engagers are being explored. This review will outline the progress in various engineering strategies, discuss their implications and challenges that lie ahead, and the future directions for engineered γδT cells in both monotherapy and combination immunotherapy.

Novel nanotherapeutics for cancer immunotherapy by albumin nanoparticles functionalized with PD-1 and PD-L1 aptamers

BackgroundPD-1/PD-L1 blockade plays a crucial role in cancer immunotherapy. Exploration of new technologies to further enhance the efficacy of PD-1/PD-L1 blockade is therefore of potential medical importance. Nanotherapeutics can accumulate in tumor tissues due to enhanced permeability and retention (EPR) effects. In this study, a novel nanotherapeutic for cancer immunotherapy was implemented with albumin nanoparticles functionalized by both PD-1 and PD-L1 aptamers.ResultsAlbumin nanoparticles (NP) were functionalized with either PD-1 aptamers (PD1-NP), PD-L1 aptamers (PDL1-NP), or both types of aptamers (PD1-NP-PDL1). Average sizes of PD1-NP, PDL1-NP, and PD1-NP-PDL1 were 141.8 nm, 141.8 nm, and 164.2 nm, respectively. PD1-NP had good affinity for activated T cells that expresses PD-1. Similarly, PDL1-NP could bind with MDA-MB-231 or CT26 tumor cells that express PD-L1. Moreover, the bispecific PD1-NP-PDL1 could bind with both the activated T cells and the PD-L1-expressing tumor cells, and tether the two type of cells together. Functionally, aptamer-modified nanoparticles exhibited stronger immune-stimulating effects vs. free aptamers. Specifically, PD1-NP or PDL1-NP induced stronger lymphocyte-mediated cytotoxicity against PD-L1-expressing tumor cells in vitro vs. free PD-1 or PD-L1 aptamers. Animal studies also showed that PD1-NP or PDL1-NP significantly improved antitumor efficacy against CT26 colon cancer in vivo vs. free PD-1 or PD-L1 aptamers. Importantly, the bispecific PD1-NP-PDL1 further boosted the in vivo antitumor efficacy compared with PD1-NP or PDL1-NP, without raising systemic toxicity.ConclusionThe results suggest that the bispecific PD1-NP-PDL1 is a promising nanotherapeutic to improve the efficacy of PD-1/PD-L1 blockade, and may have application potential in colon cancer treatment.

The role of CD8 PET imaging in guiding cancer immunotherapy.

Currently, immunotherapy is being widely used for treating cancers. However, the significant heterogeneity in patient responses is a major challenge for its successful application. CD8-positive T cells (CD8+ T cells) play a critical role in immunotherapy. Both their infiltration and functional status in tumors contribute to treatment outcomes. Therefore, accurate monitoring of CD8+ T cells, a potential biomarker, may improve therapeutic strategy. Positron emission tomography (PET) is an optimal option which can provide molecular imaging with enhanced specificity. This review summarizes the mechanism of action of CD8+ T cells in immunotherapy, and highlights the recent advancements in PET-based tracers that can visualize CD8+ T cells and discusses their clinical applications to elucidate their potential role in cancer immunotherapy.

DeepHLApan: A Deep Learning Approach for the Prediction of Peptide-HLA Binding and Immunogenicity.

Neoantigens are crucial in distinguishing cancer cells from normal ones and play a significant role in cancer immunotherapy. The field of bioinformatics prediction for tumor neoantigens has rapidly developed, focusing on the prediction of peptide-HLA binding affinity. In this chapter, we introduce a user-friendly tool named DeepHLApan, which utilizes deep learning techniques to predict neoantigens by considering both peptide-HLA binding affinity and immunogenicity. We provide the application of DeepHLApan, along with the source code, docker version, and web-server. These resources are freely available at https://github.com/zjupgx/deephlapan and http://pgx.zju.edu.cn/deephlapan/ .

Emerging perspectives on RNA virus-mediated infections: from pathogenesis to therapeutic interventions.

RNA viruses continue to pose significant threats to global public health, necessitating a profound understanding of their pathogenic mechanisms and the development of effective therapeutic interventions. This manuscript provides a comprehensive overview of emerging perspectives on RNA virus-mediated infections, spanning from the intricate intricacies of viral pathogenesis to the forefront of innovative therapeutic strategies. A critical exploration of antiviral drugs sets the stage, highlighting the diverse classes of compounds that target various stages of the viral life cycle, underscoring the ongoing efforts to combat viral infections. Central to this discussion is the exploration of RNA-based therapeutics, with a spotlight on messenger RNA (mRNA)-based approaches that have revolutionized the landscape of antiviral interventions. Furthermore, the manuscript delves into the intricate world of delivery systems, exploring inno-vative technologies designed to enhance the efficiency and safety of mRNA vaccines. By analyzing the challenges and advancements in delivery mechanisms, this review offers a roadmap for future research and development in this critical area. Beyond conventional infectious diseases, the document explores the expanding applications of mRNA vaccines, including their promising roles in cancer immunotherapy and personalized medicine approaches. This manuscript serves as a valuable resource for researchers, clinicians, and policymakers alike, offering a nuanced perspective on RNA virus pathogenesis and the cutting-edge therapeutic interventions. By synthesizing the latest advancements and challenges, this review contributes significantly to the ongoing discourse in the field, driving the development of novel strategies to combat RNA virus-mediated infections effectively.

Functional Nucleic Acid-Based Immunomodulation for T Cell-Mediated Cancer Therapy.

T cell-mediated immunity plays a pivotal role in cancer immunotherapy. The anticancer actions of T cells are coordinated by a sequence of biological processes, including the capture and presentation of antigens by antigen-presenting cells (APCs), the activation of T cells by APCs, and the subsequent killing of cancer cells by activated T cells. However, cancer cells have various means to evade immune responses. Meanwhile, these vulnerabilities provide potential targets for cancer treatments. Functional nucleic acids (FNAs) make up a class of synthetic nucleic acids with specific biological functions. With their diverse functionality, good biocompatibility, and high programmability, FNAs have attracted widespread interest in cancer immunotherapy. This Review focuses on recent research progress in employing FNAs as molecular tools for T cell-mediated cancer immunotherapy, including corresponding challenges and prospects.

Predictive role of E2F6 in cancer prognosis and responses of immunotherapy

BackgroundE2F6 is a member of the E2F transcription factor family. Numerous studies have demonstrated that E2F6 is critical to cancer development and progression, but its role in cancer immunotherapy remains unclear. MethodsGenotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA) databases were used to obtain RNA-seq data for cancer and normal tissues, and we utilized the cBioPortal to analyze E2F6 genomic alterations in pan-cancer. The protein localization of E2F6 was obtained using the Human Protein Atlas (HPA), and the upregulation of E2F6 expression in clinical glioblastoma multiforme (GBM) tissues was detected by Western blot analysis. The ComPPI website was used to analyze the protein interaction information of E2F6. To evaluate the role of E2F6 in pan-cancer prognosis, we used univariate Cox regression and Kaplan-Meier methods, and gene set enrichment analysis (GSEA) was utilized to identify markers associated with E2F6 expression in tumors. TIMER 2.0 was used to study E2F6-related immune cell infiltration in tumor tissues, and the correlation of E2F6 with immunotherapy biomarkers was investigated using Spearman correlation analysis. The role of E2F6 in the cell cycle was analyzed by flow cytometry, and the Cell Counting Kit-8 (CCK-8) and colony formation assays were utilized to determine the proliferative ability of cells. ResultsIn most tumor types, E2F6 was highly expressed and was a good predictor of prognosis. E2F6 was significantly related to markers of immune activation, tumor immune cell infiltration, and immune regulators. Furthermore, E2F6 knockdown significantly attenuated the proliferative ability of glioma cells. Finally, E2F6 effectively predicted anti-programmed cell death 1 (PD1) treatment response. ConclusionE2F6 is an effective biomarker that predicts the prognosis of cancer patients treated with anti-immune checkpoint therapy.