With the escalating application of immune checkpoint inhibitors (ICIs) in solid tumors, these therapies have demonstrated clinical benefits but remain hampered by relatively low response rates. Reliable biomarkers to predict ICIs responsiveness are essential for selecting appropriate patients and optimizing therapeutic outcomes. Given the pivotal role of tumor-draining lymph nodes (TDLNs) in orchestrating systemic antitumor immunity, their intrinsic features—such as dynamic organization in T cell subsets and functional status of antigen-presenting cells, hold considerable potential as predictive biomarkers for ICIs. Moreover, the complexity of ICIs-induced responses in TDLNs necessitates integrating multiple biomarkers for accurate prediction. Through continuous refinement of predictive strategies, TDLNs are poised to play an indispensable role in enhancing ICIs efficacy and guiding personalized immunotherapy. Here, we provide a review to discuss the possibility of using the intrinsic features of TDLNs as a predictive marker for ICI therapy.

Despite major improvements in cancer treatment, detection, and health promotion, the mortality rates of late-stage cancer remain high. This is a critical issue because a large proportion of cancer mortality is experienced by patients who have late-stage disease at diagnosis. As survival is substantially higher for almost all cancers when diagnosed at an early stage, effective early cancer detection strategies could drastically reduce overall cancer mortality. Advances in various technologies have culminated in the development of liquid biopsies. The tumour biomarkers applied for non- or minimally-invasive cancer detection include tumour cells and their components in bodily fluids, especially peripheral blood for circulating tumour biomarkers. The most well-studied circulating tumour biomarkers in recent years for the early detection of cancer are circulating tumour cells (CTCs) and circulating tumour DNA (ctDNA), with research into other classes rapidly expanding. CTCs and ctDNA have been detected at an early stage in several types of cancer with high specificity, aiding risk stratification and, in some cases, identifying clinically actionable molecular features. Therefore, these circulating biomarkers offer several advantages over the traditional cancer detection methods. Although their limitations are considerable, the evolving evidence suggests they have tremendous potential as tools for early cancer detection. In this review, we evaluate the development and applications of circulating biomarkers for early cancer detection, with a focus on CTCs and ctDNA. We also briefly explore the emerging evidence on extracellular vesicles, circulating proteins and synthetic biomarkers, discuss the limitations of current approaches and provide suggestions to achieve further progress in this setting.

Neoantigen-based immunotherapy has emerged as a transformative approach in cancer treatment, offering precision medicine strategies that target tumor-specific antigens derived from genetic, transcriptomic, and proteomic alterations unique to cancer cells. These neoantigens serve as highly specific targets for personalized therapies, promising more effective and tailored treatments. The aim of this article is to explore the advances in neoantigen-based therapies, highlighting successful treatments such as vaccines, tumor-infiltrating lymphocyte (TIL) therapy, T-cell receptor-engineered T cells therapy (TCR-T), and chimeric antigen receptor T cells therapy (CAR-T), particularly in cancer types like glioblastoma (GBM). Advances in technologies such as next-generation sequencing, RNA-based platforms, and CRISPR gene editing have accelerated the identification and validation of neoantigens, moving them closer to clinical application. Despite promising results, challenges such as tumor heterogeneity, immune evasion, and resistance mechanisms persist. The integration of AI-driven tools and multi-omic data has refined neoantigen discovery, while combination therapies are being developed to address issues like immune suppression and scalability. Additionally, the article discusses the ongoing development of personalized immunotherapies targeting tumor mutations, emphasizing the need for continued collaboration between computational and experimental approaches. Ultimately, the integration of cutting-edge technologies in neoantigen research holds the potential to revolutionize cancer care, offering hope for more effective and targeted treatments.

Emerging cancer immunotherapy methods, notably cytokine-based ones that modify immune systems’ inflammatory reactions to tumor cells, may help slow gastric cancer progression. Cytokines, tiny signaling proteins that communicate between immune cells, may help or hinder cancer growth. Pro-inflammatory cytokines encourage tumor development, whereas antitumor ones help the host reject cancer cells. This study considers cytokine-targeted methods for gastric cancer pro-inflammatory and antitumor immune responses. Researchers want to renew immune cells like cytotoxic T lymphocytes (CTLs) and natural killer (NK) cells by delivering cytokines like interleukin-2 (IL-2), interferons (IFNs), and tumor necrosis factor-alpha (TNF-α) to activate inflammatory pathways and combat tumors. Since cytokines have significant pleiotropic effects, their therapeutic use is difficult and may cause excessive systemic inflammation or immunological suppression. This review covers current advancements in synthetic cytokines, cytokine-conjugates, and local administration of these aimed to enhance the therapeutic index: increase the potential to kill cancer cells while minimizing off-target damage. The study examines the relationship between cytokines and tumor microenvironment (TME), revealing the role of immunosuppressive cytokines like IL-10 and transforming growth factor-beta (TGF-β) in promoting an immune-evasive phenotype. These results suggest that inhibitory pathway targeting, and cytokine-based therapy may overcome resistance mechanisms. Cytokine-based immunotherapies combined with immune checkpoint inhibitors are predicted to change gastric cancer therapy and rebuild tumor-immune microenvironment dynamics, restoring antitumor immunity. Comprehensive data from current clinical studies will assist in establishing the position of these treatments in gastric cancer.

This review explores the intricate relationship between viral infections and Bacillus Calmette-Guerin (BCG) efficacy, emphasizing immune modulation mechanisms that may influence treatment outcomes. Since its introduction in 1976, intravesical BCG has been a cornerstone in managing non-muscle invasive bladder cancer (NMIBC) after transurethral resection of bladder tumors (TURBT). Despite its success, variability in response rates suggests that host immune status, influenced by persistent infections, immunosenescence, and antigenic overload, may play a crucial role in therapeutic effectiveness. Chronic viral infections can modulate T cell responses, leading to immune exhaustion and impaired antitumor immunity. This review discusses the interplay between viral antigenic load, immune dysfunction, and tumor microenvironment remodeling, highlighting their potential impact on immunotherapies. By integrating insights from virome analysis, immune profiling, and tumor characterization, this review proposes personalized strategies to enhance immunotherapy efficacy. A deeper understanding of viral-induced immune dysregulation may improve prognostic assessment, optimize treatment protocols, and reduce healthcare costs associated with bladder cancer. Future research should focus on targeted interventions to mitigate the immunosuppressive effects of chronic infections, ultimately improving patient outcomes in NMIBC management.

Exportin-1 (XPO1) is a nuclear export protein that, when overexpressed, can facilitate cancer cell proliferation and survival and is frequently overexpressed or mutated in cancer patients. As such, selective inhibitors of XPO1 (XPO1i) function have been developed to inhibit cancer cell proliferation and induce apoptosis. This review outlines the evidence for the immunomodulatory properties of XPO1 inhibition and discusses the potential for combining and sequencing XPO1i with immunotherapy to improve the treatment of patients with cancer. Selinexor is a first-in-class XPO1i that is FDA-approved for the treatment of patients with relapsed and refractory (RR) multiple myeloma and RR diffuse large B cell lymphoma. In addition to the cancer cell intrinsic pro-apoptotic activity, increasing evidence suggests that XPO1 inhibition has immunomodulatory properties. In this review, we describe how XPO1i can lead to a skewing of macrophage polarisation, inhibition of neutrophil extracellular traps, modulation of immune checkpoint expression, blockade of myeloid-derived suppressor cells (MDSCs) and sensitisation of cancer cells to T cell and NK (natural killer) cell immunosurveillance. As such, there is an opportunity for selinexor to enhance immunotherapy efficacy and thus a need for clinical trials assessing selinexor in combination with immunotherapies such as immune checkpoint inhibitors, direct targeting monoclonal antibodies, chimeric antigen receptor (CAR)-T cells and cereblon E3 ligase modulators (CELMoDs).