Cancer Immunotherapy Research Articles

Therapeutic Immunomodulation of Tumor-Lymphatic Crosstalk via Intratumoral Immunotherapy.

Intra- and peritumoral lymphatics and tumor-draining lymph nodes play major roles in mediating the adaptive immune response to cancer immunotherapy. Despite this, current paradigms of clinical cancer management seldom seek to therapeutically modulate tumor-lymphatic immune crosstalk. This review explores recent developments that set the stage for how this regulatory axis can be therapeutically manipulated, with a particular emphasis on tumor-localized immunomodulation. Building on this idea, the nature of tumor-lymphatic immune crosstalk and relevant immunotherapeutic targets and pathways are reviewed, with a focus on their translational potential. Engineered drug delivery systems that enhance intratumoral immunotherapy by improving drug delivery to both the tumor and lymph nodes are also highlighted.

Characterizing dynamic tumor-immune interactions in lung adenocarcinoma through orthotopic allograft modeling.

The major clinical challenge in lung cancer immunotherapy is drug resistance. Therefore, establishing efficient orthotopic lung cancer mouse models to explore the mechanisms of drug immunotherapy resistance is highly important. In this study, we generated multiple fluorescently labeled lung adenocarcinoma cell lines from agenetically engineered KPZ mice model. Orthotopic transplantation of the primary 1F3 cell line induced a strong immune response, causing many small tumors to disappear, but some tumors evaded the immune attack and eventually formed large tumors. Tumor microenvironment analysis demonstrated that M2 macrophages play key roles in the immune response. Further mechanistic studies revealed that the chemokine CCL7 promoted the infiltration of M2 macrophages to facilitate immune escape, thereby promoting tumor growth in the orthotopic mouse model. Moreover, CCL7 levels were elevated in human lung cancer biopsies and positively correlated with M2 macrophage infiltration, and high CCL7 levels predicted advanced pathological stage and poor survival in lung cancer patients. Overall, we established a visualized and orthotopic mouse model with fluorescently labeled cells to better dissect the tumor microenvironment of lung cancer and define the critical role of CCL7 in promoting M2 macrophage polarization and tumorigenesis, providing new preclinical tools and potential targets for lung cancer immunotherapy.

Identifying CEACAM1-targeted Drug Candidates for Cancer Immunotherapy

Identifying CEACAM1-targeted Drug Candidates for Cancer Immunotherapy

Editorial: Application of multi-omics analysis in thoracic cancer immunotherapy

Editorial: Application of multi-omics analysis in thoracic cancer immunotherapy

A stochastic approach to tumor modeling incorporating macrophages

Macrophages are essential components of the immune system’s response to tumors, engaging in intricate interactions shaped by factors such as tumor type, progression, and the surrounding microenvironment. These dynamic relationships between macrophages and cancer cells have become a focal point of research, as scientists seek innovative ways to harness the immune system, including macrophages, for cancer immunotherapy. In this study, we introduce a novel model that examines the interaction between tumor and macrophage cells. We provide an in-depth analysis of the equilibrium points and their stability, as well as a thorough investigation into the solution properties of the model. Moreover, by incorporating a stochastic approach, we account for inherent randomness and fluctuations within the system, offering a more comprehensive understanding of tumor-immune dynamics. Numerical simulations further validate the model, providing key insights into how stochastic elements may influence tumor progression and immune response.

Rapid Hemostasis Tumor In Situ Hydrogel Vaccines for Colorectal Cancer Chemo-Immunotherapy.

Due to the high heterogeneity and the immunosuppressive microenvironment of tumors, most single antigen tumor vaccines often fail to elicit potent antitumor immune responses in clinical trials, resulting in unsatisfactory therapy effects. Hence, personalized tumor vaccines have become a promising modality for cancer immunotherapy. Here, we have developed a tumor in situ hydrogel vaccine (AH/DA-OR) capable of rapid hemostasis for personalized tumor immunotherapy, composed of dopamine-grafted hyaluronic acid (HA/DA) combined with sodium alginate (ALG), with coloaded oxaliplatin (OXA) and resiquimod (R848). The ALG and HA framework imparts excellent biocompatibility to the hydrogel, and dopamine (DA) modification endows it with rapid hemostatic functionality. Following local peritumor injection of AH/DA-OR into the tumor, the in situ hydrogel vaccine achieved the sustained release of the chemotherapeutic agent, OXA, inducing immunogenic cell death in tumor cells and effectively releasing personalized tumor-associated antigens to activate immune responses. Simultaneously, local R848 adjuvant sustained release at the tumor site enhanced immune responses, minimized drug side effects, and amplified immunotherapy effects. Finally, the hydrogel vaccine effectively activated host immune responses to suppress CT26 colorectal cancer growth in vivo, also exhibiting superior inhibition of untreated tumor growth at distant sites. This strategy of rapid hemostasis of tumor in situ hydrogel vaccine holds significant clinical potential and provides a paradigm for achieving secure and robust immunotherapy.

Immunotherapy-induced reprogramming of cancer-associated fibroblasts can promote tumor progression.

Use of immune checkpoint inhibitors (ICIs) as cancer immunotherapy has advanced rapidly in the clinic; however, ICI initiation can also cause an unexpectedly rapid acceleration of cancer progression in some patients. Here, we used a murine syngeneic melanoma model to conduct mechanistic analysis of cancer-associated fibroblast (CAF) function in cancer progression in the context of immunotherapy. We found that after ICI treatment CAFs acquire inflammatory properties, which can promote tumor progression. Mechanistically, we show that T-cell-derived interferon-γ (IFN-γ) stimulates production of tumor necrosis factor-α (TNF-α) by macrophages, facilitating CAF conversion to inflammatory CAFs. Our findings suggest that CAF/immune cell crosstalk plays an essential role in ICI-associated tumor progression.

Interleukins: Role in cancer and its immunotherapy

Interleukins are a very important family of cytokines; they are the messengers that assist immune cells to communicate with each other. Interleukins plays a pivotal role in innate and adaptive immune responses by balancing immune cell proliferation, differentiation and regulation. Interleukins aid immune cells in killing cancer cells while simultaneously assisting cancer cells in evading the immune response which leads tumor formation. Some interleukins are very effective at activating effector immune cells to kill cancer cells and also used for cancer immunotherapy. Interleukins are utilized in cancer immunotherapy alone or in combination with other therapies such as CAR-T, checkpoint inhibitors, or chemotherapy. In this review, we will explore the role of different interleukins in cancer and how researchers modified and therapeutically used them to treat cancer (e.g. IL-2, IL-12, IL-15, IL-17, IL-6, IL-18 etc.,).

Low-Intensity Focused Ultrasound-Responsive Phase-Transitional Liposomes Loaded with STING Agonist Enhances Immune Activation for Breast Cancer Immunotherapy

Background: Pharmacologically targeting the STING pathway offers a novel approach to cancer immunotherapy. However, small-molecule STING agonists face challenges such as poor tumor accumulation, rapid clearance, and short-lived effects within the tumor microenvironment, thus limiting their therapeutic potential. To address the challenges of poor specificity and inadequate targeting of STING in breast cancer treatment, herein, we report the design and development of a targeted liposomal delivery system modified with the tumor-targeting peptide iRGD (iRGD-STING-PFP@liposomes). With LIFU irradiation, the liposomal system exploits acoustic cavitation, where gas nuclei form and collapse within the hydrophobic region of the liposome lipid bilayer (transient pore formation), which leads to significantly enhanced drug release. Methods: Transmission electron microscopy (TEM) was used to investigate the physicochemical properties of the targeted liposomes. Encapsulation efficiency and in vitro release were assessed using the dialysis bag method, while the effects of iRGD on liposome targeting were evaluated through laser confocal microscopy. The CCK-8 assay was used to investigate the toxicity and cell growth effects of this system on 4T1 breast cancer cells and HUVEC vascular endothelial cells. A subcutaneous breast cancer tumor model was established to evaluate the tumor-killing effects and therapeutic mechanism of the newly developed liposomes. Results: The liposome carrier exhibited a regular morphology, with a particle size of 232.16 ± 19.82 nm, as indicated by dynamic light scattering (DLS), and demonstrated low toxicity to both HUVEC and 4T1 cells. With an encapsulation efficiency of 41.82 ± 5.67%, the carrier exhibited a slow release pattern in vitro after STING loading. Targeting results indicated that iRGD modification enhanced the system’s ability to target 4T1 cells. The iRGD-STING-PFP@liposomes group demonstrated significant tumor growth inhibition in the subcutaneous breast cancer mouse model with effective activation of the immune system, resulting in the highest populations of matured dendritic cells (71.2 ± 5.4%), increased presentation of tumor-related antigens, promoted CD8+ T cell infiltration at the tumor site, and enhanced NK cell activity. Conclusions: The iRGD-STING-PFP@liposomes targeted drug delivery system effectively targets breast cancer cells, providing a new strategy for breast cancer immunotherapy. These findings indicate that iRGD-STING-PFP@liposomes could successfully deliver STING agonists to tumor tissue, trigger the innate immune response, and may serve as a potential platform for targeted immunotherapy.

BTN2A1: A Novel Target to Boost Tumor Killing Capacity of Human γδ T Cells.

γδ T cells have recently raised great interest as effector cells in cancer immunotherapy because of their HLA-independent mode of action and their broad tumor reactivity. To translate the application of γδ T cells into clinically effective immunotherapies, specific tumor targeting and/or boosting of γδ T-cell activation in vivo seem to be a critical step. In this issue, Le Floch and colleagues report a new strategy for enabling γδ T cells to be specifically activated to kill acute lymphoblastic leukemia cells and solid tumor cells using agonistic BTN2A1 antibodies. See related article by Le Floch et al., p. XX .

Beyond hazard ratios: appropriate statistical methods for quantifying the clinical effectiveness of immune-oncology therapies – the example of the Netherlands

BackgroundThe Dutch Committee for the Evaluation of Oncological Drugs evaluates the effectiveness of new oncological treatments. The committee compares survival endpoints to the so-called PASKWIL-2023 criteria for palliative treatments, which define if treatment effects are considered clinically relevant. A positive recommendation depends on whether the median overall survival (OS) is below or above 12 months in the comparator arm. If the former applies, an OS benefit of at least 12 weeks, and a hazard ratio (HR) smaller than 0.7 are required. If the latter applies, an OS or progression free survival (PFS) benefit of at least 16 weeks, and an HR smaller than 0.7 are required. Nonetheless, the median survival time may not be reached and the proportional hazards (PH) assumption, quantified by the HR, is likely violated for immuno-oncology (IO) therapies, deeming these criteria inappropriate.MethodsWe conducted a systematic literature review to identify statistical methods used to represent the clinical effectiveness of IO therapies based on trial data. We searched MEDLINE and EMBASE databases from inception to August 31, 2022, limited to English papers. Methodological studies, randomized controlled trials, and discussion papers recognising key issues of survival data analysis of IO therapies were eligible for inclusion.ResultsA total of 1,035 unique references were identified. After full paper screening, 17 publications were included in the review. Additionally, 43 papers were identified through ‘snowballing’. We conclude that the current PASKWIL-2023 criteria are methodologically incorrect under non-PH. In that case, single summary statistics fail to capture the treatment effect and any measure should be interpreted in combination with the Kaplan-Meier curves. We recommend ’parameter-free’ measures, such as the difference in restricted mean survival time, avoiding assumptions on the underlying survival.ConclusionsThe HR is commonly used to assess treatment effectiveness, without investigating the validity of the PH assumption. This happens with the application of the PASKWIL-2023 criteria for palliative oncology treatments, which can only be valid under a PH setting. Under non-PH, alternative treatment effect measures are suggested. We propose a step-by-step approach supporting the choice of the most appropriate methods to quantify treatment effectiveness that can be used to redefine the PASKWIL-2023 criteria, or similar criteria in other clinical areas.

A single-cell perspective on immunotherapy for pancreatic cancer: from microenvironment analysis to therapeutic strategy innovation

Pancreatic cancer remains one of the most lethal malignancies, with conventional treatment options providing limited efficacy. Recent advancements in immunotherapy have offered new hope, yet the unique tumor microenvironment (TME) of pancreatic cancer poses significant challenges to its successful application. This review explores the transformative impact of single-cell technology on the understanding and treatment of pancreatic cancer. By enabling high-resolution analysis of cellular heterogeneity within the TME, single-cell approaches have elucidated the complex interplay between various immune and tumor cell populations. These insights have led to the identification of predictive biomarkers and the development of innovative, personalized immunotherapeutic strategies. The review discusses the role of single-cell technology in dissecting the intricate immune landscape of pancreatic cancer, highlighting the discovery of T cell exhaustion profiles and macrophage polarization states that influence treatment response. Moreover, it outlines the potential of single-cell data in guiding the selection of immunotherapy drugs and optimizing treatment plans. The review also addresses the challenges and prospects of translating these single-cell-based innovations into clinical practice, emphasizing the need for interdisciplinary research and the integration of artificial intelligence to overcome current limitations. Ultimately, the review underscores the promise of single-cell technology in driving therapeutic strategy innovation and improving patient outcomes in the battle against pancreatic cancer.

Sugar Highs: Recent Notable Breakthroughs in Glycobiology.

Glycosylation is biochemically complex and functionally critical to a wide range of processes and disease states, making it a vibrant area of contemporary research. Here, we highlight a selection of notable recent advances in the glycobiology of SARS-CoV-2 infection and immunity, cancer biology and immunotherapy, and newly discovered glycosylated RNAs. Together, these studies illustrate the significance of glycosylation in normal biology and the great promise of manipulating glycosylation for therapeutic benefit in disease.

Health-related quality of life dynamics: modeling insights from immunotherapy.

Understanding health-related quality of life (HRQoL) dynamics is essential for assessing and improving treatment experiences; however, clinical and observational studies struggle to capture their full complexity. We use simulation modeling and the case of Chimeric Antigen Receptor T-cell therapy-a type of cancer immunotherapy that can prolong survival, but carries life-threatening risks-to study HRQoL dynamics. We developed an exploratory system dynamics model with mathematical equations and parameter values informed by literature and expert insights.We refined its feedback structure and evaluated its dynamic behavior through iterative interviews. Model simulated HRQoL from treatment approval through six months post-infusion. Two strategies-reducing the delay to infusion and enhancing social support-were incorporated into the model. To dynamically evaluate the effect of these strategies, we developed four metrics: post-treatment HRQoL decline, recovery time to pre-treatment HRQoL, post-treatment HRQoL peak, and durability of the peak. Model captures key interactions within HRQoL, providing a nuanced analysis of its continuous temporal dynamics, particularly physical well-being, psychological well-being, tumor burden, receipt and efficacy of treatment, side effects, and their management. Model analysis shows reducing infusion delays enhanced HRQoL across all four metrics. While enhanced social support improved the first three metrics for patients who received treatment, it did not change durability of the peak. Simulation modeling can help explore the effects of strategies on HRQoL while also demonstrating the dynamic interactions between its key components, offering a powerful tool to investigate aspects of HRQoL that are difficult to assess in real-world settings.

Optimizing CAR-NK Cell Transduction and Expansion: Leveraging Cytokine Modulation for Enhanced Performance.

Cellular immunotherapy has emerged as one of the most potent approaches to treating cancer patients. Adoptive transfer of chimeric antigen receptor (CAR) T cells as well as the use of haploidentical natural killer (NK) cells can induce remission in patients with lymphoma and leukemia. Although the use of CAR T cells has been established, this approach is currently limited for wider use by the risk of severe adverse events, including cytokine release syndrome and immune effector cell-associated neurotoxicity syndrome. Moreover, the risk of triggering graft vs host reactions in settings of allogeneic T cell infusion limits the use to autologous CAR T cells if advanced CRISPR engineering is not applied. In contrast, NK cell-based cancer immunotherapy has emerged as a safe approach even in allogeneic settings. However, efficient transduction of primary blood NK cells with vesicular stomatitis virus G glycoprotein (VSV-G) pseudotyped lentivirus commonly used for T cell modification remains challenging. This article presents a detailed method that significantly enhances the transduction efficiency of NK cells by utilizing a short-term culture in cytokine-supplemented medium. It also encompasses the preparation of high-titer and high-quality lentiviral particles for optimal NK cell transduction. Overall, this protocol details the step-by-step culture of NK cells in cytokine-supplemented medium, their transduction with VSV-G lentiviral vectors, and subsequent expansion for functional assays. © 2024 Wiley Periodicals LLC. Basic Protocol 1: Isolation of NK cells from human peripheral blood mononuclear cells (PBMCs) Basic Protocol 2: NK cell expansion and transduction with lentivirus for generating CAR-NK cells Support Protocol 1: Plasmid amplification Support Protocol 2: Lentivirus preparation Support Protocol 3: Lentivirus titration.

Development of a PD-L1 Overexpression System in HEK293T Cells: A Platform for Studying Immune Evasion Mechanisms

Programmed death-ligand 1 (PD-L1) is a key immune checkpoint protein that facilitates tumor immune evasion by interacting with PD-1 receptors on T cells, making the PD-1/PD-L1 axis a critical target in cancer immunotherapy. However, resistance to these therapies remains a challenge, necessitating further exploration of PD-L1’s functions and regulatory mechanisms. In this study, we amplified the PD-L1 coding sequence (CDS) from human cDNA, cloned it into a pcDNA3.1 vector, and transfected it into HEK293T cells to establish a robust in vitro PD-L1 overexpression system. Quantitative RT-qPCR demonstrated a 300-400 fold increase in PD-L1 mRNA expression compared to controls. These results confirm the successful construction of the PD-L1 overexpression plasmid and validate its application as a tool for studying PD-L1’s role in immune modulation and its potential implications in overcoming resistance to immunotherapy. This system provides a valuable platform for future investigations into PD-L1-mediated mechanisms of immune evasion and cancer progression.

Emerging Frontiers in Cancer Immunotherapy: Recent Advances in CAR-NK Cell and CAR-Macrophage Therapies

Chimeric antigen receptor (CAR) cell therapies have revolutionized the field of cancer treatment with the breakthrough successes of CAR-T cell therapy in hematological malignancies. However, CAR-T cell efficacy in solid tumors has been limited by challenges such as the immunosuppressive tumor microenvironment (TME) and safety concerns like cytokine release syndrome (CRS) and graft-versus-host disease (GvHD). This review focuses on the latest advancements in CAR-NK cell and CAR-macrophage therapies, which offer potential solutions to these limitations. CAR-NK cells exhibit natural cytotoxicity and MHC-independent tumor targeting, providing a safer profile with lower risks of GvHD and CRS compared to CAR-T cells. Innovations in CAR-NK cell therapy includes structural optimizations, gene editing with CRISPR-Cas9, and the development of multispecific CARs, all contributing to enhanced anti-tumor efficacy, especially in solid tumors. Meanwhile, CAR-macrophages are effective in remodeling the TME through phagocytosis and immune activation, addressing the challenges of solid tumor infiltration. This review compares the mechanisms of action, clinical applications, and safety profiles of CAR-NK cells and CAR-macrophages, highlighting the synergistic potential of these therapies. Although clinical research on both therapies is still in its early stages, the promising preclinical and early clinical trial results underscore their potential as alternative immunotherapies for refractory cancers. Future research will focus on overcoming challenges in production scalability, improving in vivo persistence, and personalizing CAR therapies through precision medicine approaches. These two therapies will likely play pivotal roles in the next generation of cancer immunotherapies.

Exploring the Synergy of Immunotherapy and Conventional Treatments in Cancer Therapy

Immunotherapy (cancer immunotherapy) is a promising approach to cancer treatment that recognizes and destroys cancer cells by employing immune-related components or by directing the immune system. Between 2017 and 2020, the R&D pipeline for cancer immunotherapies increased by 233%. Immunotherapy can be broadly divided into five broad categories and is suitable for 20 different types of cancer. With the introduction of immune checkpoint inhibitors and CAR-T cell therapies, this approach has revolutionized the way of cancer treatment, even treating some patients with advanced cancers, while not all cancer types respond well to this approach. The effectiveness of immunotherapy as a stand-alone treatment is often constrained by tumor heterogeneity, immune evasion, and resistance mechanisms. To address these issues, immunotherapy is being investigated in combination with other traditional treatment modalities such as radiotherapy, chemotherapy and targeted drugs as a way to improve treatment outcomes. This review explores the rationale behind these combination therapies and discusses the potential of these combined therapies to improve patient survival and quality of life.

Advances in Cancer Immunotherapy: Enhancing the Immune Response and Addressing Therapeutic Challenges

Cancer is the top cause of death around the world. In 2022, nearly 20 million people were diagnosed with cancer, and about 9.7 million died from it. In China, almost 5 million new cancer cases were reported, with over 2.5 million fatalities. Immunotherapy is a new way to treat cancer. It boosts the body’s immune system to fight cancer cells. This method is less harmful to patients and more precise than older treatments like chemotherapy and radiation. There are different kinds of immunotherapy, including vaccines, treatments with substances that boost the immune system, transferring cells, and blocking proteins that stop the immune system from working. Even though immunotherapy is helpful, it can have side effects and tumors can become resistant to it. Each person’s tumor is unique, which makes treatment tricky. Sometimes, tumors can change and resist the therapy. We also don’t have enough markers to tailor treatments to each person’s needs. This review discusses the response of immune system, and how immunotherapy can be used to treat cancer.

Tumor Immunology Unveiled: Advances, Challenges, and Future Prospects in Cancer Immunotherapy

Among the most important disciplines in the field of immunology, tumor immunology holds a significant place due to its focus on the interaction between tumors and the immune system. With the advancement of immunotherapy technologies in recent years, tumor immunology has emerged as one of the most exciting areas in cancer research. In this article, we will examine in detail the research progress in tumor immunology, including the mechanisms by which tumor cells evade the immune system, the application of immune checkpoint inhibitors, the development of tumor vaccines and their application in clinical practice, and how the tumor microenvironment impacts immunotherapy.