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EDITORIAL article

Front. Immunol., 13 November 2023
Sec. Cancer Immunity and Immunotherapy
This article is part of the Research Topic Updates on Toll-Like Receptors in Cancer Immunity and Immunotherapy View all 7 articles

Editorial: Updates on toll-like receptors in cancer immunity and immunotherapy

  • 1Center for Infectious and Inflammatory Diseases, Institute of Biosciences and Technology, Texas A&M University, Houston, TX, United States
  • 2Cancer Research Unit, Sumitomo Pharma Co. Ltd., Osaka, Japan
  • 3Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, United States

Toll-like Receptors (TLRs) are a class of Pattern Recognition Receptors (PRRs) capable of recognizing pathogen-associated molecular patterns (PAMPs) (1) and damage-associated molecular patterns (DAMPs) (2) to initiate immune responses. TLRs are crucial for the detection of infections, and activating downstream signaling pathways that lead to the production of pro-inflammatory cytokines and interferons, thereby initiating host defense mechanisms against a wide range of pathogens (3). Moreover, TLRs are involved in the crosstalk between the innate and adaptive immune systems, as their activation can influence the development of antigen-specific adaptive immune responses (4). TLR ligands differentially regulate the function of dendritic cells that play a central role during priming and activation of naive T cells (5). Understanding the complex interplay of TLRs in immune regulation not only contributes to our comprehension of host defense mechanisms but also has implications for the development of vaccines, immunotherapies, and treatments for various autoimmune and inflammatory disorders such as cancer.

Recent developments in the field of TLRs and cancer immunity underscore the dual role of TLRs in cancer development: promoting or inhibiting tumor growth. TLR agonists are being explored as adjuvants in cancer vaccines and immunotherapies, thereby enhancing the activation of dendritic cells and adaptive immune responses against cancer. However, the intricate interplay between TLRs and the tumor microenvironment has been increasingly recognized, with some TLRs implicated in supporting an immunosuppressive milieu that benefits tumor growth. Velasco et al. demonstrated that TLR signaling blockade significantly decrease COPD-like inflammation dependent tumor onset in the lung using k-ras driven lung adeno-carcinoma model. Researchers are now delving into the specific TLR subtypes, their differential effects on immune cells, and the development of TLR-targeted therapies that could either enhance the immune response against cancer or attenuate immunosuppressive signals, all of which hold significant promise in advancing cancer immunotherapy strategies (Hoden et al.). Interestingly, Liu et al. showed that LPS signaling enhanced tumor apoptotic activity of IAP targeting therapy, suggesting TLR signaling may use “synthetic lethal” approach for reducing its toxicity.

In recent years much scientific interest has focused on improving the efficacy of cancer immunotherapy. In the realm of cancer immunotherapy, TLRs are garnering increased attention as potential therapeutic targets. TLR agonists are being explored for their capacity to stimulate innate immune responses, such as the activation of dendritic cells and natural killer cells, which can bolster antitumor immunity. Combining TLR agonists with other immunotherapies like checkpoint inhibitors or adoptive cell therapies holds promise in creating synergistic effects to enhance cancer treatment outcomes (Hoden et al.). However, there is ongoing research to better understand the nuances of TLR signaling in the context of different cancer types and patient populations to optimize their use in personalized cancer immunotherapies. Furthermore, efforts to mitigate potential side effects and enhance the specificity of TLR-targeted treatments are also underway, indicating a dynamic and evolving field within cancer immunotherapy. Ota et al. tried to achieve efficacy- safety margin by utilizing small molecule TLR7 specific agonist which shows rapid clearance from the body.

The therapeutic prospects for TLRs are exceptionally promising, as they represent a critical avenue in both the understanding and application of immunotherapy. In this topic there are 3 review articles discussing the strategy of clinical application by targeting TLR signaling, especially in the oncology field. Hoden et al. focuses on TLR agonists for use in lung cancer. More broadly, Yang et al. focuses more on the mechanisms and cutting-edge technologies of various tumor types and Mukheerjee et al. explores cancer type specific strategies. Ongoing research is likely to uncover novel TLR subtypes and ligands, shedding light on their nuanced roles in diverse disease contexts, including cancer, infectious diseases, and autoimmune disorders. Additionally, the development of more refined TLR-targeted therapies, such as selective agonists or antagonists, offers the potential for precise modulation of immune responses, minimizing unwanted side effects. Harnessing TLRs as adjuvants in combination with emerging immunotherapies and personalized medicine approaches may further revolutionize the treatment of various conditions, ultimately paving the way for more effective and tailored therapeutic interventions. This evolving field holds great promise for the continued advancement of immunotherapy and precision medicine in the years to come.

Author contributions

BH: Writing – original draft. YN: Writing – review & editing. LS: Writing – review & editing. DZ: Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Acknowledgments

The authors are thankful to the contributors to this Research Topic and the Editorial support of the Journal.

Conflict of interest

Author YN is employed by Sumitomo Pharma Co., Ltd. Osaka, Japan.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Janeway CA Jr., Medzhitov R. Innate immune recognition. Annu Rev Immunol (2002) 20:197–216. doi: 10.1146/annurev.immunol.20.083001.084359

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Matzinger P. The danger model: a renewed sense of self. Science (2002) 296(5566):301–5. doi: 10.1126/science.1071059

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Beutler B. Inferences, questions and possibilities in Toll-like receptor signalling. Nature (2004) 430(6996):257–63. doi: 10.1038/nature02761

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Iwasaki A, Medzhitov R. Control of adaptive immunity by the innate immune system. Nat Immunol (2015) 16(4):343–53. doi: 10.1038/ni.3123

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Weck MM, Grunebach F, Werth D, Sinzger C, Bringmann A, Brossart P. TLR ligands differentially affect uptake and presentation of cellular antigens. Blood (2007) 109(9):3890–4. doi: 10.1182/blood-2006-04-015719

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: toll-like receptor (TLR), cancer, cancer immunity, immunotherapy, TLR signaling

Citation: Hoden B, Nagai Y, Schuettpelz L and Zhang D (2023) Editorial: Updates on toll-like receptors in cancer immunity and immunotherapy. Front. Immunol. 14:1331317. doi: 10.3389/fimmu.2023.1331317

Received: 31 October 2023; Accepted: 07 November 2023;
Published: 13 November 2023.

Edited and Reviewed by:

Peter Brossart, University of Bonn, Germany

Copyright © 2023 Hoden, Nagai, Schuettpelz and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yasuhiro Nagai, eWFzdWhpcm8xLm5hZ2FpQHN1bWl0b21vLXBoYXJtYS5jby5qcA==; Laura Schuettpelz, U2NodWV0dHBlbHpfbEB3dXN0bC5lZHU=; Dekai Zhang, ZGVrYWl6aGFuZ0B0YW11ZS5lZHU=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.