EDITORIAL article
Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
This article is part of the Research TopicAdvances in myeloid cell targeting for overcoming tumor immunosuppressionView all 6 articles
Editorial: Advances in myeloid cell targeting for overcoming tumor immunosuppression
Provisionally accepted- 1Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), Shenzhen, China
- 2South China University of Technology School of Medicine, Guangzhou, China
- 3The Chinese University of Hong Kong, Hong Kong, Hong Kong, SAR China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Peng et al. developed a noninvasive iMRS using preoperative CT radiomics to predict the myeloid immune contexture in hepatocellular carcinoma (HCC). A multi-phase CT radiomics signature accurately predicted the pathological MRS, which reflects the balance of pro-and anti-tumor myeloid cells. A high iMRS was significantly associated with poor post-surgical overall and recurrence-free survival. Furthermore, in an immunotherapy cohort, a high iMRS predicted a better objective response and improved survival for patients treated with anti-PD-1/PD-L1 therapy, demonstrating its value as a noninvasive biomarker for prognosis and immunotherapy benefit assessment.The review by Chen et al. summarizes the potential of targeting myeloid cells to overcome immunosuppression in the tumor microenvironment (TME) and enhance cancer immunotherapy. Myeloid populations-such as TAMs, MDSCs, and tumor-associated dendritic cells-promote immune evasion through cytokine secretion, metabolic reprogramming, immune checkpoint expression, and physical exclusion of T cells. The article highlights key therapeutic targets, including CSF1R, PI3Kγ, mTOR, Syk, MerTK/Axl, and immune checkpoints like TREM2, LILRBs, VISTA, and CD40.Preclinical and clinical evidence supports strategies to deplete or reprogram these cells, restoring anti-tumor immunity.Combining myeloid-targeted agents with checkpoint inhibitors, chemotherapy, or radiation shows synergistic promise.However, challenges such as myeloid plasticity, toxicity, and biomarker development remain. Future success hinges on personalized approaches and rational combination therapies.Future research directions in targeting myeloid cells to overcome tumor immunosuppression will focus on several key areas. A major priority is the development of more selective agents and delivery systems, such as nanoparticles or bispecific antibodies, to precisely modulate specific myeloid subpopulations like TAMs or MDSCs without systemic toxicity. Understanding and targeting the metabolic and epigenetic reprogramming that sustains the immunosuppressive functions of these cells represent another critical avenue. Furthermore, identifying robust predictive biomarkers-through single-cell sequencing or spatial transcriptomics-is essential for patient stratification and for monitoring therapy-induced changes in the myeloid compartment in real-time. Finally, a central challenge is the rational design of combination therapies. This involves integrating myeloid-targeting agents with existing immunotherapies (e.g., checkpoint inhibitors, CAR-T), conventional treatments, or novel modalities like STING agonists to achieve synergistic efficacy, reverse resistance, and create a durable anti-tumor immune response in a wider range of cancers.
Keywords: Myeloid Cells, Tumor immunosuppression, Immunotherapy resistance, cancer treatment, Myeloid-derived suppressor cells (MDSCs)
Received: 01 Nov 2025; Accepted: 04 Nov 2025.
Copyright: © 2025 Yan, Yang and Zhou. 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) or licensor 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:
Dehong Yan, dh.yan@siat.ac.cn
Qiong Yang, yangq@scut.edu.cn
Jingying Zhou, zhoujy@cuhk.edu.hk
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.