Key Takeaways & Executive Findings
- •• TIM-3 is a promising immune checkpoint target expressed on multiple immune cell types, with blockade showing potential to enhance anti-tumor immunity. • Combination therapies targeting TIM-3 with PD-1/PD-L1 inhibitors have demonstrated synergistic effects in preclinical models, offering a strategy to overcome resistance to current ICIs. • TIM-3 interacts with multiple ligands (Gal-9, CEACAM1, HMGB1, PtdSer) to suppress anti-tumor immune responses, providing multiple avenues for therapeutic intervention. • The review highlights the need for further clinical studies to validate the efficacy and safety of TIM-3-targeted therapies in cancer patients.
Abstract
Over the past decade, immunotherapy has emerged as a pivotal therapeutic strategy in cancer treatment. Immune checkpoint inhibitors (ICIs), such as CTLA-4 and PD-1 monoclonal antibodies, have demonstrated remarkable clinical efficacy in different types of cancer. However, the overall success rate of immune checkpoint therapies remains low. Investigating alternative immune checkpoint molecules is imperative. T-cell immunoglobulin and mucin-containing molecule-3 (TIM-3), which is expressed in T cells, natural killer (NK) cells, macrophages, and dendritic cells, has gained recognition as a promising candidate for tumor immunotherapy. Targeting TIM-3 represents a promising approach for cancer immunotherapy, particularly through the rational design of novel combination therapies with other ICIs. In this review, we present a comprehensive summary of the research advancements concerning the role of TIM-3 in regulating immune responses in different cell types and explore theoretical frameworks for targeting TIM-3 to achieve more effective immunotherapeutic breakthroughs.
1. Introduction
Immunotherapy involving immune checkpoint inhibitors (ICIs) has become a critical approach for combating cancer. The United States Food and Drug Administration (FDA) has approved anti-CTLA-4 monoclonal antibodies (mAbs) and anti-PD-1 mAbs for the treatment of melanoma and non-small cell lung carcinoma (NSCLC) [1–3]. Although ICI therapies have improved survival compared with traditional cancer treatments for various cancer types, only 10%-30% of patients benefit from these therapies in most cancer types [4]. Therefore, it is imperative to identify new immune checkpoint molecules and elucidate their underlying mechanisms to further advance cancer immunotherapy.
T-cell immunoglobulin and mucin-containing molecule-3 (TIM-3) was initially identified in 2002 and is expressed on CD4+ T helper 1 (Th1) and CD8+ cytotoxic T lymphocytes (CTLs) [5]. Subsequent studies revealed that TIM-3 is also expressed on the surface of activated natural killer (NK) cells [6], Th17 cells [7], gamma delta (γδ) T cells [8–11], regulatory T cells (Tregs) [12], macrophages [5], dendritic cells (DCs) [13], and mast cells [14]. TIM-3 belongs to the TIM gene family, which in humans comprises three members: TIM-1, TIM-3, and TIM-4. These proteins are encoded by the genes HAVCR1, HAVCR2, and TIMD4, respectively [15]. TIM-3 consists of an immunoglobulin variable (IgV) domain, a mucin stalk domain, a single transmembrane domain, and a cytoplasmic tail domain [16]. It has at least four ligands: galectin-9 (Gal-9), carcinoembryonic antigen cell adhesion molecule 1 (CEACAM1), high-mobility group protein B1 (HMGB1), and phosphatidylserine (PtdSer), all of which interact with the TIM-3 IgV domain. The interaction between TIM-3 and its ligands mediates the suppression of anti-tumor immune responses [17]. Gal-9, the first ligand identified, induces apoptosis in Th1 cells and negatively regulates Th1 cell immunity [18,19]. Furthermore, the TIM-3/CEACAM1 interaction induces T cell exhaustion [20]. Numerous preclinical studies across various tumor types have demonstrated that TIM-3 blockade can inhibit tumor progression, particularly when combined with PD-1/PD-L1 blockade [21,22]. Therefore, targeting TIM-3, either in combination with other ICIs or through integrating TIM-3 inhibition with novel immunotherapeutic strategies that activate cancer-specific T-cell stimulatory molecules, shows great promise for advancing therapeutic approaches with enduring clinical efficacy.
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Shuaiya Ma, Mengyao Zhu, Chunhong Ma, Chunyang Li (2026). Immune checkpoint TIM-3 in tumor immunotherapy. Acta Biochimica et Biophysica Sinica. https://doi.org/10.3724/abbs.2025235
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Frequently Asked Questions
What is TIM-3 and why is it important in cancer immunotherapy?
TIM-3 (T-cell immunoglobulin and mucin-containing molecule-3) is an immune checkpoint receptor expressed on various immune cells, including T cells, NK cells, and macrophages. It suppresses anti-tumor immune responses, making it a promising target for cancer immunotherapy. Blocking TIM-3 can enhance anti-tumor immunity, especially when combined with other checkpoint inhibitors like PD-1/PD-L1.
What are the main ligands of TIM-3?
TIM-3 has at least four ligands: galectin-9 (Gal-9), carcinoembryonic antigen cell adhesion molecule 1 (CEACAM1), high-mobility group protein B1 (HMGB1), and phosphatidylserine (PtdSer). These ligands interact with the IgV domain of TIM-3 to mediate its suppressive effects on immune responses.
How does TIM-3 blockade enhance anti-tumor immunity?
TIM-3 blockade prevents the interaction with its ligands, thereby reducing the suppression of T cell activity and other immune cells. This can lead to enhanced T cell proliferation, cytokine production, and cytotoxic activity against tumor cells, potentially improving the efficacy of cancer immunotherapy.
What is the potential of combining TIM-3 inhibitors with other immunotherapies?
Preclinical studies have shown that combining TIM-3 blockade with PD-1/PD-L1 inhibitors can synergistically enhance anti-tumor responses, overcoming resistance to single-agent checkpoint inhibitors. This combination strategy is being explored in clinical trials and holds promise for improving patient outcomes.
What are the challenges in targeting TIM-3 for cancer therapy?
Challenges include understanding the complex biology of TIM-3 across different immune cell types, optimizing dosing and scheduling of combination therapies, and identifying biomarkers to select patients who are most likely to benefit. Additionally, potential on-target toxicities need to be carefully managed.
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