Overcoming MDSC-Mediated Immunosuppression in Hepatocellular Carcinoma: From Mechanisms to Novel Immunotherapeutic Approaches
Simple Summary
Abstract
1. Introduction
2. Origins, Heterogeneity, and Dynamics of MDSCs in Hepatocellular Carcinoma
2.1. The JAK–STAT3 Axis: A Master Regulator of MDSC Expansion and Immunosuppressive Potency
2.2. Midkine-Driven MDSC Recruitment via the CXCL12/CXCR4 Axis
2.3. The DDR2–STAT3–CCL20 Positive Feedback Loop in Chemoresistant HCC
2.4. The β-Catenin–PF4–CXCR3 Axis and Platelet–Vascular Crosstalk
2.5. Emerging Mechanisms and the Roadmap to Integrated Immunotherapy
2.6. Metabolic Reprogramming: A Core Pillar of MDSC Immunosuppressive Function in HCC
2.6.1. Enhanced Glycolysis and Lactate-Driven Immunosuppression
2.6.2. Lipid Metabolism and the FATP2–PGE2 Axis
2.6.3. Amino Acid Depletion: Arg-1- and IDO1-Mediated Nutrient Starvation
2.6.4. Ferroptosis-Driven Immunosuppressive Circuits in PMN-MDSCs
2.6.5. Cholesterol Biosynthesis and the SQLE Node
2.6.6. Emerging 2025 Perspectives: The Spleen–Liver Axis and Integrated TME Strategies
3. Emerging Therapeutic Strategies Targeting MDSCs in HCC
3.1. Signaling Pathway Inhibition: STAT3 as the Central Target
3.2. Metabolic Modulation: Exploiting MDSC-Specific Metabolic Vulnerabilities
3.3. Epigenetic Regulation: HDAC Inhibitors as Potent MDSC-Reprogramming Agents
3.4. Anti-Angiogenic–Immunotherapy Synergy: Bevacizumab Plus Atezolizumab as a Paradigm
3.5. Transcriptional Reprogramming with MTL-CEBPA
3.6. Hematopoietic Suppression and Direct MDSC Modulation: Icaritin
3.7. Locoregional–Systemic Triplet Therapy: TACE Combined with Anti-Angiogenic Agents and Immune Checkpoint Blockade
3.8. Targeting Chemokine Axes: CCR2/CCL2 and CXCR2 Inhibitors
3.9. Promoting MDSC Differentiation: All-Trans Retinoic Acid (ATRA)
3.10. Nanomedicine Strategies for Targeting the TME and MDSCs in HCC
3.11. Clinical Caveats and Contraindications in Targeting MDSC-Mediated Immunosuppression in Hepatocellular Carcinoma
4. Targeting the Gut–Liver Axis: Harnessing the Microbiome to Overcome MDSC-Driven Resistance
4.1. Negative Impact of Antibiotics on Immunotherapy Efficacy
4.2. Immunomodulatory Roles of Microbiome-Derived Metabolites
5. Future Directions and Concluding Remarks
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Sung, H.; Ferlay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2021, 71, 209–249. [Google Scholar] [CrossRef] [PubMed]
- Gabrilovich, D.I.; Nagaraj, S. Myeloid-derived suppressor cells as regulators of the immune system. Nat. Rev. Immunol. 2009, 9, 162–174. [Google Scholar] [CrossRef]
- Veglia, F.; Perego, M.; Gabrilovich, D. Myeloid-derived suppressor cells coming of age. Nat. Immunol. 2018, 19, 108–119. [Google Scholar] [CrossRef]
- Lu, L.C.; Chang, C.J.; Hsu, C.H. Targeting myeloid-derived suppressor cells in the treatment of hepatocellular carcinoma: Current state and future perspectives. J. Hepatocell. Carcinoma 2019, 6, 71–84. [Google Scholar] [CrossRef] [PubMed]
- Ostrand-Rosenberg, S.; Fenselau, C. Myeloid-derived suppressor cells: Immune-suppressive cells that impair antitumor immunity and are sculpted by their environment. J. Immunol. 2018, 200, 422–431. [Google Scholar] [CrossRef]
- Kubes, P.; Jenne, C. Immune responses in the liver. Annu. Rev. Immunol. 2018, 36, 247–277. [Google Scholar] [CrossRef]
- Nishida, N.; Kudo, M. Immunological microenvironment of hepatocellular carcinoma and its clinical implication. Oncology 2017, 92, 40–49. [Google Scholar] [CrossRef]
- Finn, R.S.; Qin, S.; Ikeda, M.; Graham, R.R.; Kudo, M.; Blanc, J.F.; Galle, P.R.; Ducreux, M.; Zhu, A.X. Atezolizumab plus bevacizumab in unresectable hepatocellular carcinoma. N. Engl. J. Med. 2020, 382, 1894–1905. [Google Scholar] [CrossRef]
- Condamine, T.; Mastio, J.; Gabrilovich, D.I. Transcriptional regulation of myeloid-derived suppressor cells. J. Leukoc. Biol. 2015, 98, 913–922. [Google Scholar] [CrossRef] [PubMed]
- Youn, J.I.; Gabrilovich, D.I. The biology of myeloid-derived suppressor cells: The blessing and the curse of morphological and functional heterogeneity. Eur. J. Immunol. 2010, 40, 2969–2975. [Google Scholar] [CrossRef]
- Cheng, A.L.; Hsu, C.; Chan, S.L.; Choo, S.P.; Kudo, M. Challenges of combination therapy with immune checkpoint inhibitors for hepatocellular carcinoma. J. Hepatol. 2020, 72, 307–319. [Google Scholar] [CrossRef]
- Wang, J.; Chen, X.; Wu, D.; Jia, C.; Lian, Q.; Pan, Y.; Zhang, L. Single-cell and machine learning approaches uncover intrinsic immune-evasion genes in the prognosis of hepatocellular carcinoma. Liver Res. 2024, 8, 282–294. [Google Scholar] [CrossRef]
- Liu, X.; Kang, X.; Kang, H.; Yan, H. The immunosuppressive role of MDSCs in HCC: Mechanisms and therapeutic opportunities. Cell Commun. Signal. 2025, 23, 155. [Google Scholar] [CrossRef] [PubMed]
- Wang, Z.; Zhou, G.; Cao, R.; Li, Y.; Zhang, X.; Chen, Y.; Xu, J. Harnessing multi-omics and artificial intelligence: Revolutionizing prognosis and treatment in hepatocellular carcinoma. Front. Immunol. 2025, 16, 1592259. [Google Scholar] [CrossRef]
- Chen, G.; Zhang, G.; Zhu, Y.; Wu, A.; Fang, J.; Yin, Z.; Chen, H.; Cao, K. Identifying disulfidptosis subtypes in hepatocellular carcinoma through machine learning and preliminary exploration of its connection with immunotherapy. Cancer Cell Int. 2024, 24, 194. [Google Scholar] [CrossRef]
- Zhang, G.; Xiao, Y.; Liu, H.; Wu, Y.; Xue, M.; Li, J. Integrated machine learning screened glutamine metabolism-associated biomarker SLC1A5 to predict immunotherapy response in hepatocellular carcinoma. Immunobiology 2024, 229, 152841. [Google Scholar] [CrossRef] [PubMed]
- Larrain, C.; Torres-Hernandez, A.; Hewitt, D.B. Artificial intelligence, machine learning, and deep learning in the diagnosis and management of hepatocellular carcinoma. Livers 2024, 4, 36–50. [Google Scholar] [CrossRef]
- Gabrilovich, D.I. Myeloid-derived suppressor cells. Cancer Immunol. Res. 2017, 5, 3–8. [Google Scholar] [CrossRef] [PubMed]
- Bronte, V.; Brandau, S.; Chen, S.H.; Colombo, M.P.; Frey, A.B.; Greten, T.F.; Mandruzzato, S. Recommendations for myeloid-derived suppressor cell nomenclature and characterization standards. Nat. Commun. 2016, 7, 12150. [Google Scholar] [CrossRef]
- Xu, Y.; Fang, F.; Sun, Y.; Li, Z.; Zhang, Y.; Wang, J.; Zhang, L. Activated hepatic stellate cells regulate MDSC migration through the SDF-1/CXCR4 axis in an orthotopic mouse model of hepatocellular carcinoma. Cancer Immunol. Immunother. 2019, 68, 1959–1969. [Google Scholar] [CrossRef]
- Zhang, H.; Maric, I.; DiPrima, M.J.; Khan, J.; Orentas, R.J.; Kaplan, R.N.; Macke, C.E. Fibrocytes represent a novel MDSC subset circulating in patients with metastatic cancer. Blood 2013, 122, 1105–1113. [Google Scholar] [CrossRef]
- Zhang, S.; Ma, X.; Zhang, Y.; Li, Y.; Wang, Y.; Wu, Y.; Chen, X. The prognostic value of myeloid derived suppressor cell level in hepatocellular carcinoma: A systematic review and meta-analysis. PLoS ONE 2019, 14, e0225327. [Google Scholar] [CrossRef]
- Ma, C.; Zhang, Q.; Greten, T.F. MDSCs in liver cancer: A critical tumor-promoting player and a potential therapeutic target. Cell. Immunol. 2021, 361, 104295. [Google Scholar] [CrossRef]
- Lam, K.C.; Araya, R.E.; Huang, A.; Chen, Y.; Ramjiawan, R.R.; Reiberger, T.; Jain, R.K. Targeting monocyte-intrinsic enhancer reprogramming improves immunotherapy efficacy in hepatocellular carcinoma. Gut 2020, 69, 365–379. [Google Scholar]
- Thomson, A.W.; Knolle, P.A. Antigen-presenting cell function in the tolerogenic liver environment. Nat. Rev. Immunol. 2010, 10, 753–766. [Google Scholar] [CrossRef]
- Crispe, I.N. Immune tolerance in liver disease. Hepatology 2014, 60, 2109–2117. [Google Scholar] [CrossRef] [PubMed]
- Liu, X.; Zhang, Y.; Wang, Y.; Li, Z.; Chen, Y.; Zhang, Q.; Xu, J. PPP1R15A-expressing monocytic MDSCs promote immunosuppressive liver microenvironment in fibrosis-associated hepatocellular carcinoma. JHEP Rep. 2024, 6, 101087. [Google Scholar] [CrossRef] [PubMed]
- Li, Y.M.; Jiang, Y.; Li, Z.; Wang, Y.; Zhang, X.; Chen, Y.; Xu, J. Receptor-interacting protein kinase 3 deficiency recruits myeloid-derived suppressor cells to hepatocellular carcinoma through the chemokine (C-X-C motif) ligand 1-chemokine (C-X-C motif) receptor 2 axis. Hepatology 2019, 70, 1564–1581. [Google Scholar] [CrossRef] [PubMed]
- Hammerich, L.; Tacke, F. Emerging roles of myeloid derived suppressor cells in hepatic inflammation and fibrosis. World J. Gastrointest. Pathophysiol. 2015, 6, 43–50. [Google Scholar] [CrossRef]
- De Cicco, P.; Ercolano, G.; Ianaro, A. The new era of cancer immunotherapy: Targeting myeloid-derived suppressor cells to overcome immune evasion. Front. Immunol. 2020, 11, 1680. [Google Scholar] [CrossRef]
- Hong, D.; Kurzrock, R.; Kim, Y.; Woessner, R.; Younes, A.; Nemunaitis, J.; Fowler, N. AZD9150, a next-generation antisense oligonucleotide inhibitor of STAT3 with early evidence of clinical activity in lymphoma and lung cancer. Sci. Transl. Med. 2015, 7, 314ra185. [Google Scholar] [CrossRef] [PubMed]
- de Haas, N.; de Koning, C.; Spilgies, L.; de Vries, I.J.; Hato, S.V. Improving cancer immunotherapy by targeting the STATe of MDSCs. Oncoimmunology 2016, 5, e1196312. [Google Scholar] [CrossRef]
- Svinka, J.; Mikulits, W.; Eferl, R. STAT3 in hepatocellular carcinoma: New perspectives. Hepatic Oncol. 2014, 1, 107–120. [Google Scholar] [CrossRef]
- Iliopoulos, D.; Jaeger, S.A.; Hirsch, H.A.; Bulyk, M.L.; Struhl, K. STAT3 activation of miR-21 and miR-181b-1 via PTEN and CYLD are part of the epigenetic switch linking inflammation to cancer. Mol. Cell 2010, 39, 493–506. [Google Scholar] [CrossRef]
- Alkhateeb, T.; Kumbhare, A.; Bah, I.; Youssef, D.; Yao, Z.Q.; McCall, C.E.; El Gazzar, M. S100A9 maintains myeloid-derived suppressor cells in chronic sepsis by inducing miR-21 and miR-181b. Mol. Immunol. 2019, 112, 72–81, Erratum in Mol. Immunol. 2020, 127, 78. [Google Scholar] [CrossRef]
- Liang, C.; Xu, Y.; Ge, H.; Li, G.; Wu, J. Clinicopathological significance and prognostic role of p-STAT3 in patients with hepatocellular carcinoma. OncoTargets Ther. 2018, 11, 1203–1214. [Google Scholar] [CrossRef]
- Li, Y.; Han, Q.; Zhao, H.; Guo, Q.; Zhang, J. Napabucasin reduces cancer stem cell characteristics in hepatocellular carcinoma. Front. Pharmacol. 2020, 11, 597520. [Google Scholar] [CrossRef]
- Li, Y.; Rogoff, H.A.; Ke, S.; Pearson, D.S.; Schinzel, A.C.; Yuan, H.; Liau, B.B. A novel mouse model of hepatocellular carcinoma with nonalcoholic steatohepatitis using a high-fat, choline-deficient diet. Hepatology 2016, 63, 1131–1141. [Google Scholar]
- Li, N.; Chen, S.; Yang, W.; Zhang, Y.; Wang, Y.; Li, Z.; Zhang, X. Midkine inhibition enhances anti-PD-1 immunotherapy in sorafenib-treated hepatocellular carcinoma via preventing immunosuppressive MDSCs recruitment. Cell Death Discov. 2023, 9, 92. [Google Scholar] [CrossRef] [PubMed]
- Xu, J.; Liang, J.; Meng, Y.M.; Zhao, Y.; Sun, Y.; Wang, J.; Zhang, L. Activated hepatic stellate cells promote liver cancer by induction of myeloid-derived suppressor cells through cyclooxygenase-2. Oncotarget 2016, 7, 8866–8878. [Google Scholar] [CrossRef] [PubMed]
- Chen, Y.; Ramjiawan, R.R.; Reiberger, T.; Ng, M.R.; Hato, T.; Huang, Y.; Ochiai, H.; Jain, R.K. CXCR4 inhibition in tumor microenvironment facilitates anti-programmed death receptor-1 immunotherapy in sorafenib-treated hepatocellular carcinoma in mice. Hepatology 2015, 61, 1591–1602. [Google Scholar] [CrossRef]
- Jen, Y.C.; Wang, C.Y.; Lin, Y.C.; Chang, Y.T.; Wang, C.C.; Huang, Y.H.; Yang, C.M. A highly selective and potent CXCR4 antagonist for hepatocellular carcinoma treatment. Proc. Natl. Acad. Sci. USA 2021, 118, e2010216118. [Google Scholar]
- Morita, S.; Lei, P.J.; Shigeta, K.; Huang, Y.; Ramjiawan, R.R.; Jain, R.K.; Fukumura, D. Combination CXCR4 and PD-1 blockade enhances intratumoral dendritic cell activation and immune responses against hepatocellular carcinoma. Cancer Immunol. Res. 2025, 13, 162–170. [Google Scholar] [CrossRef] [PubMed]
- Santagata, S.; Rea, G.; Castaldo, D.; Esposito, A.; Liguori, G.; Di Mauro, A.; Granata, V. Hepatocellular carcinoma (HCC) tumor microenvironment is more suppressive than colorectal cancer liver metastasis (CRLM) tumor microenvironment. Hepatol. Int. 2024, 18, 855–870. [Google Scholar] [CrossRef]
- Sun, R.; Sun, Y.; Wu, C.; Li, Y.; Wang, Y.; Zhang, Q.; Xu, J. CXCR4-modified CAR-T cells suppresses MDSCs recruitment via STAT3/NF-κB/SDF-1α axis to enhance efficacy against pancreatic cancer. Mol. Ther. 2023, 31, 3193–3209. [Google Scholar] [CrossRef]
- Huo, X.; Zhang, Y.; Li, Z.; Wang, Y.; Chen, Y.; Sun, R.; Xu, J. Oxaliplatin-resistant hepatocellular carcinoma drives immune evasion through PD-L1 upregulation and PMN-MDSC recruitment. Gastroenterology 2023, 164, 291–306. [Google Scholar]
- Liu, W.; Zhang, Y.; Wang, Y.; Li, Z.; Chen, Y.; Huo, X.; Xu, J. DDR2/STAT3 positive feedback loop mediates the immunosuppressive microenvironment by up-regulating PD-L1 and recruiting MDSCs in oxaliplatin-resistant HCC. Cell. Mol. Gastroenterol. Hepatol. 2024, 18, 101377. [Google Scholar] [CrossRef] [PubMed]
- Wang, K.; Wu, J.; Yang, Z.; Zhang, Y.; Li, Z.; Chen, Y.; Xu, J. Hyperactivation of β-catenin signal in hepatocellular carcinoma recruits myeloid-derived suppressor cells through PF4-CXCR3 axis. Cancer Lett. 2024, 586, 216690. [Google Scholar] [CrossRef]
- Ma, B.; Khazali, A.; Wells, A. CXCR3 in carcinoma progression. Histol. Histopathol. 2015, 30, 781–792. [Google Scholar]
- Ji, Y.; Zhang, Q.; Li, H.; Chen, L.; Wu, Y.; Lin, S. Platelet factor 4: A mysterious chemokine in inflammatory regulation diseases. J. Inflamm. Res. 2025, 18, 4481–4495. [Google Scholar] [CrossRef]
- Dahal, A.; Hong, Y.; Mathew, J.S.; Liu, W.; Zhang, Y.; Wang, Y.; Li, Z. Platelet-activating factor (PAF) promotes immunosuppressive neutrophil differentiation within tumors. Proc. Natl. Acad. Sci. USA 2024, 121, e2406748121. [Google Scholar] [CrossRef] [PubMed]
- Dantzer, C.; Dif, L.; Moreau, V. Specific features of ß-catenin-mutated hepatocellular carcinomas. Br. J. Cancer 2024, 131, 1871–1880. [Google Scholar] [CrossRef] [PubMed]
- Chen, D.-P.; Ning, W.-R.; Jiang, Z.-Z.; Peng, Z.-P.; Zhu, L.-Y.; Zhuang, S.-M.; Kuang, D.-M.; Zheng, L.; Wu, Y. Glycolytic activation of peritumoral mono-cytes fosters immune privilege via the PFKFB3-PD-L1 axis in human hepatocellu-lar carcinoma. J. Hepatol. 2019, 71, 333–343. [Google Scholar] [CrossRef]
- Li, Q.; Xiang, M. Metabolic reprograming of MDSCs within tumor microenvironment and targeting for cancer immunotherapy. Acta Pharmacol. Sin. 2022, 43, 1337–1348. [Google Scholar] [CrossRef]
- Zheng, J.B.; Wong, C.W.; Liu, J.; Luo, X.J.; Zhou, W.Y.; Chen, Y.X.; Luo, H.Y.; Zeng, Z.L.; Ren, C.; Xie, X.M.; et al. Glucose metabolism inhibitor PFK-015 com-bined with immune checkpoint inhibitor is an effective treatment regimen in cancer. Oncoimmunology 2022, 11, 2079182. [Google Scholar] [CrossRef]
- Dou, Q.; Grant, A.K.; Callahan, C.; de Souza, P.C.; Mwin, D.; Booth, A.L.; Nasser, I.; Moussa, M.; Ahmed, M.; Tsai, L.L. PFKFB3-mediated pro-glycolytic shift in hepatocellular carcinoma proliferation. Cell. Mol. Gastroenterol. Hepatol. 2023, 15, 61–75. [Google Scholar] [CrossRef]
- Shi, L.; Pan, H.; Liu, Z.; Xie, J.; Han, W. Roles of PFKFB3 in cancer. Signal Transduct. Target. Ther. 2017, 2, 17044. [Google Scholar] [CrossRef] [PubMed]
- Veglia, F.; Tyurin, V.A.; Blasi, M.; De Leo, A.; Kossenkov, A.V.; Donthireddy, L.; Toohil, T. Fatty acid transport protein 2 reprograms neutrophils in cancer. Nature 2019, 569, 73–78. [Google Scholar] [CrossRef]
- Hossain, F.; Al-Khami, A.A.; Wyczechowska, D.; Hernandez, C.; Zheng, L.; Reiss, K.; Del Valle, L. Inhibition of fatty acid oxidation modulates immunosuppressive functions of myeloid-derived suppressor cells and enhances cancer therapies. Cancer Immunol. Res. 2015, 3, 1236–1247. [Google Scholar] [CrossRef] [PubMed]
- Wang, X.; Zhang, Q.; Zhou, J.; Li, Y.; Wang, Y.; Chen, Y.; Xu, J. T cell-mediated targeted delivery of tadalafil regulates immunosuppression and polyamine metabolism to overcome immune checkpoint blockade resistance in hepatocellular carcinoma. J. Immunother. Cancer 2023, 11, e006493. [Google Scholar] [CrossRef]
- Wen, J.; Zhang, X.; Wong, C.C.; Li, Y.; Wang, Y.; Chen, Y.; Xu, J. Targeting squalene epoxidase restores anti-PD-1 efficacy in metabolic dysfunction-associated steatohepatitis-induced hepatocellular carcinoma. Gut 2024, 73, 2023–2036. [Google Scholar] [CrossRef] [PubMed]
- Kim, R.; Hashimoto, A.; Markosyan, N.; Tyurin, V.A.; Tyurina, Y.Y.; Kar, G.; Fu, S. Ferroptosis of tumour neutrophils causes immune suppression in cancer. Nature 2022, 612, 338–346. [Google Scholar] [CrossRef]
- Wang, H.; Zhou, F.; Qin, W.; Yang, Y.; Li, X.; Liu, R. Metabolic regulation of myeloid-derived suppressor cells in tumor immune microenvironment: Targets and therapeutic strategies. Theranostics 2025, 15, 2159–2184. [Google Scholar] [CrossRef] [PubMed]
- Califano, J.A.; Khan, Z.; Noonan, K.A.; Rudraraju, L.; Zhang, Z.; Wang, H.; Goodman, S. Tadalafil augments tumor specific immunity in patients with head and neck squamous cell carcinoma. Clin. Cancer Res. 2015, 21, 39–49. [Google Scholar] [CrossRef]
- Wang, S.; Zhang, Y.; Li, Z.; Chen, Y.; Sun, R.; Huo, X.; Xu, J. Disruption of MerTK increases the efficacy of checkpoint inhibitor by enhancing ferroptosis and immune response in hepatocellular carcinoma. Cell Rep. Med. 2024, 5, 101415. [Google Scholar] [CrossRef] [PubMed]
- Chen, Y.; Xu, Y.; Zhao, H.; Li, Z.; Wang, Y.; Zhang, Q.; Xu, J. Myeloid-derived suppressor cells deficient in cholesterol biosynthesis promote tumor immune evasion. Cancer Lett. 2023, 564, 216208. [Google Scholar] [CrossRef] [PubMed]
- Zheng, J.; Wang, S.; Xia, L.; Zhang, Y.; Li, Z.; Chen, Y.; Xu, J. Hepatocellular carcinoma: Signaling pathways and therapeutic advances. Signal Transduct. Target. Ther. 2025, 10, 35. [Google Scholar] [CrossRef]
- Lee, C.; Cheung, S.T. STAT3: An emerging therapeutic target for hepatocellular carcinoma. Cancers 2019, 11, 1646. [Google Scholar] [CrossRef]
- Kortylewski, M.; Kujawski, M.; Wang, T.; Wei, S.; Zhang, S.; Pilon-Thomas, S.; Niu, G. Inhibiting Stat3 signaling in the hematopoietic system elicits multicomponent antitumor immunity. Nat. Med. 2005, 11, 1314–1321. [Google Scholar] [CrossRef]
- Kumar, V.; Patel, S.; Tcyganov, E.; Gabrilovich, D.I. The nature of myeloid-derived suppressor cells in the tumor microenvironment. Trends Immunol. 2016, 37, 208–220. [Google Scholar] [CrossRef]
- Reilley, M.J.; McCoon, P.; Cook, C.; Lyne, P.; Kurzrock, R.; Kim, Y.; Woessner, R. STAT3 antisense oligonucleotide AZD9150 in a subset of patients with heavily pretreated lymphoma: Results of a phase 1b trial. J. Immunother. Cancer 2018, 6, 119. [Google Scholar] [CrossRef]
- Tsimberidou, A.M.; Vining, D.J.; Arora, S.P.; Kurzrock, R.; Kim, Y.; Woessner, R.; Fowler, N. Phase I trial of TTI-101, a first-in-class oral inhibitor of STAT3, in patients with advanced solid tumors. Clin. Cancer Res. 2025, 31, 965–974. [Google Scholar] [CrossRef]
- Cannarile, M.A.; Weisser, M.; Jacob, W.; Jegg, A.M.; Ries, C.H.; Rüttinger, D. Colony-stimulating factor 1 receptor (CSF1R) inhibitors in cancer therapy. J. Immunother. Cancer 2017, 5, 53. [Google Scholar] [CrossRef]
- Li, K.; Shi, H.; Zhang, B.; Ou, X.; Ma, Q.; Chen, Y.; Shu, P.; Li, D.; Wang, Y. Myeloid-derived suppressor cells as immunosuppressive regulators and therapeutic targets in cancer. Signal Transduct. Target. Ther. 2021, 6, 362. [Google Scholar] [CrossRef]
- Kumar, V.; Donthireddy, L.; Marvel, D.; Condamine, T.; Wang, F.; Lavilla-Alonso, S.; Hashimoto, A.; Vonteddu, P.; Behera, R.; Goins, M.A.; et al. Cancer-Associated Fibroblasts Neutralize the Anti-tumor Effect of CSF1 Receptor Blockade by Inducing PMN-MDSC Infiltration of Tumors. Cancer Cell 2017, 32, 654–668.e5. [Google Scholar] [CrossRef]
- Falchook, G.S.; Peeters, M.; Rottey, S.; Dirix, L.Y.; Obermannova, R.; Cohen, J.E.; Perets, R.; Frommer, R.S.; Bauer, T.M.; Wang, J.S.; et al. A phase 1a/1b trial of CSF-1R inhibitor LY3022855 in combination with durvalumab or tremelimumab in patients with advanced solid tumors. Investig. New Drugs 2021, 39, 1284–1297. [Google Scholar] [CrossRef]
- Chen, H.; Xu, Z.; Varner, J. Targeting myeloid cells to improve cancer immune therapy. Front. Immunol. 2025, 16, 1623436. [Google Scholar] [CrossRef]
- Serafini, P.; Meckel, K.; Kelso, M.; Noonan, K.; Califano, J.; Koch, W.; Dolcetti, L. Phosphodiesterase-5 inhibition augments endogenous antitumor immunity by reducing myeloid-derived suppressor cell function. J. Exp. Med. 2006, 203, 2691–2702. [Google Scholar] [CrossRef] [PubMed]
- Orillion, A.; Hashimoto, A.; Damayanti, N.; Shen, L.; Adelstein, E.; Qiu, J.; Wilson, R. Entinostat neutralizes myeloid-derived suppressor cells and enhances the antitumor effect of PD-1 inhibition in murine models of lung and renal cell carcinoma. Clin. Cancer Res. 2017, 23, 5187–5201. [Google Scholar] [CrossRef] [PubMed]
- Idso, J.M.; Lao, S.; Schloemer, N.J.; Kim, K.; McKillop, W.M.; Murphy, J.M.; Wan, X. Entinostat augments NK cell functions via epigenetic upregulation of IFIT1-STING-STAT4 pathway. Oncotarget 2020, 11, 1799–1815. [Google Scholar] [CrossRef] [PubMed]
- Tu, Y.; Wu, H.; Zhong, C.; Li, Y.; Wang, Y.; Chen, Y.; Xu, J. Pharmacological activation of STAT1-GSDME pyroptotic circuitry reinforces epigenetic immunotherapy for hepatocellular carcinoma. Gut 2025, 74, 613–627. [Google Scholar] [CrossRef]
- Yang, W.; Feng, Y.; Zhou, J.; Cheung, O.K.-W.; Cao, J.; Wang, J.; Tang, W.; Tu, Y.; Xu, L.; Wu, F.; et al. A selective HDAC8 inhibitor potentiates antitumor immunity and efficacy of immune checkpoint blockade in hepatocellular carcinoma. Sci. Transl. Med. 2021, 13, eaaz6804. [Google Scholar] [CrossRef]
- Sangro, B.; Sarobe, P.; Hervás-Stubbs, S.; Melero, I. Advances in immunotherapy for hepatocellular carcinoma. Nat. Rev. Gastroenterol. Hepatol. 2021, 18, 525–542. [Google Scholar] [CrossRef] [PubMed]
- Storandt, M.H.; Zemla, T.J.; Patell, K.; Jin, Z.; Mahipal, A.; Tella, S.H.; Hubbard, J.M. Atezolizumab plus bevacizumab as first-line systemic therapy for hepatocellular carcinoma: A multi-institutional cohort study. Oncologist 2024, 29, 986–996. [Google Scholar] [CrossRef]
- Sarker, D.; Plummer, R.; Meyer, T.; Sodergren, S.C.; Basu, B.; Chee, C.E.; Huang, Y. MTL-CEBPA, a small activating RNA therapeutic upregulating C/EBP-α, in patients with advanced liver cancer: A first-in-human, multicenter, open-label, phase I trial. Clin. Cancer Res. 2020, 26, 3936–3946. [Google Scholar] [CrossRef]
- Mackert, J.R.; Qu, P.; Min, Y.; Johnson, P.F.; Yang, L.; Lin, P.C. Dual negative roles of C/EBPα in the expansion and pro-tumor functions of MDSCs. Sci. Rep. 2017, 7, 14048. [Google Scholar] [CrossRef]
- Lu, Y.; Gao, Y.; Yang, H.; Hu, Y.; Li, X. Nanomedicine-boosting icaritin-based immunotherapy of advanced hepatocellular carcinoma. Mil. Med. Res. 2022, 9, 69. [Google Scholar] [CrossRef]
- Tao, H.; Liu, M.; Wang, Y.; Li, Z.; Zhang, Y.; Chen, Y.; Xu, J. Icaritin induces anti-tumor immune responses in hepatocellular carcinoma by inhibiting splenic myeloid-derived suppressor cell generation. Front. Immunol. 2021, 12, 609295. [Google Scholar] [CrossRef] [PubMed]
- Guo, R.; Yan, Z.; Wang, R.; Zhang, Y.; Li, Z.; Chen, Y.; Xu, J. Advances in pharmacological research on icaritin: A comprehensive review. Am. J. Chin. Med. 2025, 53, 179–203. [Google Scholar] [CrossRef]
- Yue, Y.; Ren, Z.; Liu, Y.; Zhang, Y. Changes in the frequency of myeloid-derived suppressor cells after transarterial chemoembolization with gelatin sponge microparticles for hepatocellular carcinoma. J. Interv. Med. 2019, 2, 21–26. [Google Scholar] [CrossRef] [PubMed]
- Yang, J.; Yan, J.; Liu, B. Targeting VEGF/VEGFR to modulate antitumor immunity. Front. Immunol. 2018, 9, 978. [Google Scholar] [CrossRef]
- Qin, Y.; Han, S.; Xia, Y.; Li, Y.; Wang, Y.; Chen, Y.; Xu, J. Lenvatinib in hepatocellular carcinoma: Resistance mechanisms and strategies for improved efficacy. Liver Int. 2024, 44, 1808–1831. [Google Scholar] [CrossRef]
- Sangro, B.; Kudo, M.; Erinjeri, J.P.; Qin, S.; Ren, Z.; Chan, S.L.; Galle, P.R. Durvalumab with or without bevacizumab with transarterial chemoembolisation in hepatocellular carcinoma (EMERALD-1): A multiregional, randomised, double-blind, placebo-controlled, phase 3 study. Lancet 2025, 405, 216–232. [Google Scholar] [CrossRef]
- Kudo, M.; Ren, Z.; Guo, Y.; Chan, S.L.; Sangro, B.; Qin, S.; Galle, P.R. Transarterial chemoembolisation combined with lenvatinib plus pembrolizumab versus dual placebo for unresectable, non-metastatic hepatocellular carcinoma (LEAP-012): A multicentre, randomised, double-blind, placebo-controlled, phase 3 study. Lancet 2025, 405, 203–215. [Google Scholar] [CrossRef] [PubMed]
- Li, J.; Xian, L.; Wang, X.; Liu, Y.; Li, J. The role of TACE in the era of immune-targeted therapy for hepatocellular carcinoma: A meta-analysis based on PSM. Front. Immunol. 2025, 16, 1573834. [Google Scholar] [CrossRef] [PubMed]
- Fei, L.; Ren, X.; Yu, H.; Zhan, Y. Targeting the CCL2/CCR2 Axis in Cancer Immunotherapy: One Stone, Three Birds? Front. Immunol. 2021, 12, 771210. [Google Scholar] [CrossRef]
- Li, X.; Yao, W.; Yuan, Y.; Chen, P.; Li, B.; Li, J.; Chu, R.; Song, H.; Xie, D.; Jiang, X.; et al. Targeting of tumour-infiltrating macrophages via CCL2/CCR2 signalling as a therapeutic strategy against hepatocellular carcinoma. Gut 2017, 66, 157–167. [Google Scholar] [CrossRef]
- Tu, M.M.; Abdel-Hafiz, H.A.; Jones, R.T.; Jean, A.; Hoff, K.J.; Duex, J.E.; Chauca-Diaz, A.; Costello, J.C.; Dancik, G.M.; Tamburini, B.A.J.; et al. Inhibition of the CCL2 receptor, CCR2, enhances tumor response to immune checkpoint therapy. Commun. Biol. 2020, 3, 720. [Google Scholar] [CrossRef]
- Han, Z.J.; Li, Y.B.; Yang, L.X.; Cheng, H.J.; Liu, X.; Chen, H. Roles of the CXCL8-CXCR1/2 Axis in the Tumor Microenvironment and Immunotherapy. Molecules 2021, 27, 137. [Google Scholar] [CrossRef]
- Lazennec, G.; Rajarathnam, K.; Richmond, A. CXCR2 chemokine receptor—A master regulator in cancer and physiology. Trends Mol. Med. 2024, 30, 37–55. [Google Scholar] [CrossRef] [PubMed]
- Leslie, J.; Mackey, J.B.G.; Jamieson, T.; Ramon-Gil, E.; Drake, T.M.; Fercoq, F.; Clark, W.; Gilroy, K.; Hedley, A.; Nixon, C.; et al. CXCR2 inhibition enables NASH-HCC immunotherapy. Gut 2022, 71, 2093–2106. [Google Scholar] [CrossRef]
- Armstrong, A.J.; Geva, R.; Chung, H.C.; Lemech, C.; Miller, W.H.; Hansen, A.R.; Lee, J.-S.; Tsai, F.; Solomon, B.J.; Kim, T.M.; et al. CXCR2 antagonist navarixin in combination with pembrolizumab in select advanced solid tumors: A phase 2 randomized trial. Investig. New Drugs 2024, 42, 145–159, Erratum in Investig. New Drugs 2024, 42, 340–341. [Google Scholar] [CrossRef]
- Nefedova, Y.; Fishman, M.; Sherman, S.; Wang, X.; Beg, A.A.; Gabrilovich, D.I. Mechanism of all-trans retinoic acid effect on tumor-associated myeloid-derived suppressor cells. Cancer Res. 2007, 67, 11021–11028. [Google Scholar] [CrossRef]
- He, S.; Zheng, L.; Qi, C. Myeloid-derived suppressor cells (MDSCs) in the tumor microenvironment and their targeting in cancer therapy. Mol. Cancer 2025, 24, 5. [Google Scholar] [CrossRef]
- Li, X.; Luo, X.; Chen, S.; Chen, J.; Deng, X.; Zhong, J.; Wu, H.; Huang, X.; Wang, C. All-trans-retinoic acid inhibits hepatocellular carcinoma progression by targeting myeloid-derived suppressor cells and inhibiting angiogenesis. Int. Immunopharmacol. 2023, 121, 110413. [Google Scholar] [CrossRef] [PubMed]
- Tobin, R.P.; Cogswell, D.T.; Cates, V.M.; Davis, D.M.; Borgers, J.S.; Van Gulick, R.J.; Katsnelson, E.; Couts, K.L.; Jordan, K.R.; Gao, D.; et al. Targeting MDSC Differentiation Using ATRA: A Phase I/II Clinical Trial Combining Pembrolizumab and All-Trans Retinoic Acid for Metastatic Melanoma. Clin. Cancer Res. 2023, 29, 1209–1219. [Google Scholar] [CrossRef] [PubMed]
- Liang, Y.; Wang, W.; Zhu, X.; Yu, M.; Zhou, C. Inhibition of myeloid-derived suppressive cell function with all-trans retinoic acid enhanced anti-PD-L1 efficacy in cervical cancer. Sci. Rep. 2022, 12, 9619. [Google Scholar] [CrossRef]
- Liu, F.; Li, X.; Zhang, Y.; Ge, S.; Shi, Z.; Liu, Q.; Jiang, S. Targeting tumor-associated macrophages to overcome immune checkpoint inhibitor resistance in hepatocellular carcinoma. J. Exp. Clin. Cancer Res. 2025, 44, 227. [Google Scholar] [CrossRef]
- Han, X.; Jin, R. Rewiring tumor-associated macrophages in hepatocellular carcinoma. Front. Immunol. 2026, 17, 1775603. [Google Scholar] [CrossRef] [PubMed]
- Qu, Y.; Chen, C.; Sun, F.; Liu, S.; Zhao, G.; Zhao, Z.; Liu, C.; Jiang, X.; Li, T. Epigenetic modulation with nanosatellite triggers tumoricidal immunity for hepatocellular carcinoma treatment. Nat. Commun. 2025, 16, 7340. [Google Scholar] [CrossRef]
- Wang, Y.; Xu, Y.; Song, J.; Liu, X.; Liu, S.; Yang, N.; Wang, L.; Liu, Y.; Zhao, Y.; Zhou, W.; et al. Tumor Cell-Targeting and Tumor Microenvironment-Responsive Nanoplatforms for the Multimodal Imaging-Guided Photodynamic/Photothermal/Chemodynamic Treatment of Cervical Cancer. Int. J. Nanomed. 2024, 19, 5837–5858. [Google Scholar] [CrossRef]
- Dong, H.; Shao, M.; Tao, Z.; Wang, Z.; Gao, Z.; Qiu, W.; Peng, M. Targeting inflammation in hepatocellular carcinoma: Emerging nanotherapeutic strategies for remodeling immunosuppressive microenvironments. Biomater. Sci. 2026, 14, 1162–1179. [Google Scholar] [CrossRef]
- Li, J.; Zhang, G.; Li, G.; Zhang, J.; Yang, Z.; Yang, L.; Jiang, S.; Wang, J. Harnessing nanoparticles for reshaping tumor immune microenvironment of hepatocellular carcinoma. Discov. Oncol. 2025, 16, 121. [Google Scholar] [CrossRef] [PubMed]
- Dixon, S.J.; Lemberg, K.M.; Lamprecht, M.R.; Skouta, R.; Zaitsev, E.M.; Gleason, C.E.; Patel, D.N.; Bauer, A.J.; Cantley, A.M.; Yang, W.S.; et al. Ferroptosis: An iron-dependent form of nonapoptotic cell death. Cell 2012, 149, 1060–1072. [Google Scholar] [CrossRef] [PubMed]
- Ajit, C.; Zaeri, N.; Munoz, S.J.; Suvannasankha, A. Terbinafine-associated hepatotoxicity. Am. J. Med. Sci. 2003, 325, 292–295. [Google Scholar] [CrossRef]
- Pinato, D.J.; Li, X.; Mishra-Kalyani, P.; Quintanilha, J.C.F.; Piperni, E.; Boldrini, L.; Vogel, A. Association between antibiotics and adverse oncological outcomes in patients receiving targeted or immune-based therapy for hepatocellular carcinoma. JHEP Rep. 2023, 5, 100747. [Google Scholar] [CrossRef] [PubMed]
- Lin, J.; Rao, D.; Zhang, M.; Gao, Q. Metabolic reprogramming in the tumor microenvironment of liver cancer. J. Hematol. Oncol. 2024, 17, 6. [Google Scholar] [CrossRef]
- Zhao, R.; Li, J.; Chen, B.; Zhang, Y.; Wang, Y.; Li, Z.; Xu, J. The enrichment of the gut microbiota Lachnoclostridium is associated with the presence of intratumoral tertiary lymphoid structures in hepatocellular carcinoma. Front. Immunol. 2023, 14, 1289753. [Google Scholar] [CrossRef] [PubMed]
- Wu, X.Q.; Ying, F.; Chung, K.P.S.; Li, Y.; Wang, Y.; Chen, Y.; Xu, J. Intestinal Akkermansia muciniphila complements the efficacy of PD1 therapy in MAFLD-related hepatocellular carcinoma. Cell Rep. Med. 2025, 6, 101900. [Google Scholar] [CrossRef]
- Pomej, K.; Frick, A.; Scheiner, B.; Hofer, F.; Preusser, M.; Wanek, D.; Vogel, A. Study protocol: Fecal microbiota transplant combined with atezolizumab/bevacizumab in patients with hepatocellular carcinoma who failed to achieve or maintain objective response to atezolizumab/bevacizumab—The FAB-HCC pilot study. PLoS ONE 2025, 20, e0321189. [Google Scholar] [CrossRef]
- Single Arm Clinical Trial (Gut Microbiota and HCC). ClinicalTrials.gov Identifier: NCT06563947. Available online: https://clinicaltrials.gov/study/NCT06563947 (accessed on 10 March 2026).
- Cheung, K.S.; Lam, L.K.; Seto, W.K.; Leung, W.K. Use of antibiotics during immune checkpoint inhibitor treatment is associated with lower survival in hepatocellular carcinoma. Liver Cancer 2021, 10, 606–614. [Google Scholar] [CrossRef]
- Sun, J.; Chen, S.; Zang, D.; Sun, H.; Sun, Y.; Chen, J. Butyrate as a promising therapeutic target in cancer (review): From pathogenesis to clinic. Int. J. Oncol. 2024, 64, 44. [Google Scholar] [CrossRef]
- Lu, Y.; Yuan, H.; Liang, S.; Li, D.; Jiang, P.; Wang, X.; Zhang, K.; Liu, D. Microbial metabolite-driven immune reprogramming in tumor immunotherapy: Mechanisms and therapeutic perspectives. Front. Immunol. 2025, 16, 1603658. [Google Scholar] [CrossRef]
- Zhang, L.; Chen, C.; Chai, D.; Li, C.; Guan, Y.; Liu, L.; Kuang, T.; Deng, W.; Wang, W. The association between antibiotic use and outcomes of HCC patients treated with immune checkpoint inhibitors. Front. Immunol. 2022, 13, 956533. [Google Scholar] [CrossRef]
- Ryu, S.H.; Kaiko, G.E.; Stappenbeck, T.S. Cellular differentiation: Potential insight into butyrate paradox? Mol. Cell. Oncol. 2018, 5, e1212685. [Google Scholar] [CrossRef] [PubMed]
- Behary, J.; Amorim, N.; Jiang, X.-T.; Raposo, A.; Gong, L.; McGovern, E.; Ibrahim, R.; Chu, F.; Stephens, C.; Jebeili, H.; et al. Gut microbiota impact on the peripheral immune response in non-alcoholic fatty liver disease related hepatocellular carcinoma. Nat. Commun. 2021, 12, 187. [Google Scholar] [CrossRef] [PubMed]
- Zhang, M.; Huang, X.; Zhang, Y.; Yu, M.; Yuan, X.; Xu, Y.; Ma, L.; Wang, X.; Xing, H. Gut microbial metabolite butyrate suppresses hepatocellular carcinoma growth via CXCL11-dependent enhancement of natural killer cell infiltration. Gut Microbes 2025, 17, 2519706. [Google Scholar] [CrossRef] [PubMed]
- Spencer, C.N.; McQuade, J.L.; Gopalakrishnan, V.; Wargo, J.A. Dietary fiber and probiotics influence the gut microbiome and melanoma immunotherapy response. Science 2021, 374, 1632–1640. [Google Scholar] [CrossRef]
- Chen, C.-T.; Wu, P.-H.; Hu, C.-C.; Nien, H.-C.; Wang, J.-T.; Sheu, J.-C.; Chow, L.-P. Aberrant Upregulation of Indoleamine 2,3-Dioxygenase 1 Promotes Proliferation and Metastasis of Hepatocellular Carcinoma Cells via Coordinated Activation of AhR and β-Catenin Signaling. Int. J. Mol. Sci. 2021, 22, 11661. [Google Scholar] [CrossRef]
- León-Letelier, R.A.; Dou, R.; Vykoukal, J.; Sater, A.H.A.; Ostrin, E.; Hanash, S.; Fahrmann, J.F. The kynurenine pathway presents multi-faceted metabolic vulnerabilities in cancer. Front. Oncol. 2023, 13, 1256769. [Google Scholar] [CrossRef]
- Sadik, A.; Patterson, L.F.S.; Öztürk, S.; Mohapatra, S.R.; Panitz, V.; Secker, P.F.; Pfänder, P.; Loth, S.; Salem, H.; Prentzell, M.T.; et al. IL4I1 Is a Metabolic Immune Checkpoint that Activates the AHR and Promotes Tumor Progression. Cell 2020, 182, 1252–1270.e34. [Google Scholar] [CrossRef]
- Solvay, M.; Holfelder, P.; Klaessens, S.; Pilotte, L.; Stroobant, V.; Lamy, J.; Naulaerts, S.; Spillier, Q.; Frédérick, R.; De Plaen, E.; et al. Tryptophan depletion sensitizes the AHR pathway by increasing AHR expression and GCN2/LAT1-mediated kynurenine uptake, and potentiates induction of regulatory T lymphocytes. J. Immunother. Cancer 2023, 11, e006728. [Google Scholar] [CrossRef]
- Ning, W.; Huang, S. Spatially resolved tryptophan-kynurenine niches in HNSCC: Immunometabolic microdomains and therapeutic implications. Front. Immunol. 2026, 17, 1756010. [Google Scholar] [CrossRef]
- Venkateswaran, N.; Garcia, R.; Lafita-Navarro, M.C.; Hao, Y.-H.; Perez-Castro, L.; Nogueira, P.A.S.; Solmonson, A.; Mender, I.; Kilgore, J.A.; Fang, S.; et al. Tryptophan fuels MYC-dependent liver tumorigenesis through indole 3-pyruvate synthesis. Nat. Commun. 2024, 15, 4266. [Google Scholar] [CrossRef]
- Yoon, S.J.; Han, S.K.; Kim, T.S.; Suk, K.T.; Choi, D.H.; Kim, Y.D.; Kim, M.Y.; Cheon, G.J.; Baik, S.K.; Kim, D.J. The crosstalk between gut microbiota and microbiota-derived metabolites in hepatocellular carcinoma. Crit. Rev. Microbiol 2025, 51, 1315–1329. [Google Scholar] [CrossRef]
- Rauber, C.; Roberti, M.P.; Vehreschild, M.J.; Tsakmaklis, A.; Springfeld, C.; Teufel, A.; Ettrich, T.; Jochheim, L.; Kandulski, A.; Missios, P.; et al. Protocol: Faecal microbiota transfer in liver cancer to overcome resistance to atezolizumab/bevacizumab—A multicentre, randomised, placebo-controlled, double-blind phase II trial (the FLORA trial). BMJ Open 2025, 15, e097802. [Google Scholar] [CrossRef] [PubMed]
- Kim, Y.; Kim, G.; Kim, S.; Lee, J.H.; Lee, Y.; Kim, H.; Park, S. Fecal microbiota transplantation improves anti-PD-1 inhibitor efficacy in unresectable or metastatic solid cancers refractory to anti-PD-1 inhibitor. Cell Host Microbe 2024, 32, 1380–1393.e9. [Google Scholar] [CrossRef] [PubMed]
- Bukhari, I.; Li, M.; Li, G.; Xu, J.; Zheng, P.; Chu, X. Pinpointing the integration of artificial intelligence in liver cancer immune microenvironment. Front. Immunol. 2024, 15, 1520398. [Google Scholar] [CrossRef] [PubMed]
- Rezaee-Zavareh, M.S.; Kim, N.; Yeo, Y.H.; Zou, W.Y.; Park, S.H.; Toyoda, H.; Nguyen, M.H. Artificial intelligence in liver cancer research: A scientometrics analysis of trends and topics. Front. Oncol. 2024, 14, 1355454. [Google Scholar] [CrossRef]
- Gao, B.; Duan, W. The current status and future directions of artificial intelligence in the prediction, diagnosis, and treatment of liver diseases. Digit. Health 2025, 11, 20552076251325418. [Google Scholar] [CrossRef]
- Jin, T.; Luo, M.; Chen, F.; Bai, J.; Ding, J. Harnessing the power of AI for enhanced diagnosis and treatment of hepatocellular carcinoma. Turk. J. Gastroenterol. 2024, 36, 200–208. [Google Scholar] [CrossRef] [PubMed]
- Chaudhary, K.; Poirion, O.B.; Lu, L.; Garmire, L.X. Deep learning-based multi-omics integration robustly predicts survival in liver cancer. Clin. Cancer Res. 2018, 24, 1248–1259. [Google Scholar] [CrossRef]
- Lu, F.; Meng, Y.; Song, X.; Zhang, Y.; Li, Z.; Chen, Y.; Xu, J. Artificial intelligence in liver diseases: Recent advances. Adv. Ther. 2024, 41, 967–990. [Google Scholar] [CrossRef]
- Zhou, S.; Zhao, Z.; Zhong, H.; Ren, Z.; Li, Y.; Wang, H.; Xu, J. The role of myeloid-derived suppressor cells in liver cancer. Discov. Oncol. 2023, 14, 77. [Google Scholar] [CrossRef]
- Li, T.; Zhang, X.; Lv, Z.; Gao, L.; Yan, H. Increased expression of myeloid-derived suppressor cells in patients with HBV-related hepatocellular carcinoma. Biomed. Res. Int. 2020, 2020, 6527192. [Google Scholar] [CrossRef]
- Boral, B.; Ballı, H.T.; Sözütok, S.; Pehlivan, U.A.; Aikimbaev, K. Clinical and prognostic significance of CD14(+) HLA-DR(-/low) myeloid-derived suppressor cells in patients with hepatocellular carcinoma received transarterial radioembolization with yttrium-90. Scand. J. Immunol. 2022, 95, e13132. [Google Scholar] [CrossRef]
- Kudo, M.; Finn, R.S.; Ikeda, M.; Qin, S.; Han, K.H.; Piscaglia, F.; Galle, P.R. A phase 1b study of lenvatinib plus pembrolizumab in patients with unresectable hepatocellular carcinoma: Extended analysis of study 116. Liver Cancer 2023, 13, 451–458. [Google Scholar] [CrossRef]
- El-Khoueiry, A.B.; Sangro, B.; Yau, T.; Crocenzi, T.S.; Kudo, M.; Hsu, C.; Kim, T.Y. Nivolumab in patients with advanced hepatocellular carcinoma (CheckMate 040): An open-label, non-comparative, phase 1/2 dose escalation and expansion trial. Lancet 2017, 389, 2492–2502. [Google Scholar] [CrossRef]
- Ntellas, P.; Chau, I. Updates on systemic therapy for hepatocellular carcinoma. Am. Soc. Clin. Oncol. Educ. Book 2024, 44, e430028. [Google Scholar] [CrossRef] [PubMed]
- Sutanto, H.; Adytia, G.J.; Elisa, E.; Wang, Y.; Li, Z.; Chen, Y.; Xu, J. Advances in transarterial chemoembolization for hepatocellular carcinoma: Integration with systemic therapies and emerging treatment strategies. Cancer Pathog. Ther. 2025, 3, E01–E13. [Google Scholar] [CrossRef] [PubMed]



| MDSC Subset | Key Markers (Human) | Key Markers (Mouse) | Primary Suppressive Mediators | Major Location and Distribution | Prognostic Links and Clinical Relevance in HCC |
|---|---|---|---|---|---|
| PMN-MDSC (Granulocytic) | CD11b+ CD14− CD15+ (or CD66b+) HLA-DR−/low CD33 | CD11b+ Ly6G+ Ly6C | High ROS, PNT, Arg-1, S100A8/A9, LOX-1 | Peripheral blood (70–90% of total MDSCs); tumor tissue | Most abundant subtype; strongly correlates with advanced stage, poor OS, chemotherapy/ICB resistance [4,13,22] |
| M-MDSC (Monocytic) | CD11b+ CD14+ CD15− HLA-DR−/low CD33+ | CD11b+ Ly6G− Ly6C | Arg-1, iNOS/NO, TGF-β, IL-10, PGE2; PD-L1; Treg induction; differentiation into TAMs | Peripheral blood; tumor tissue; lymph nodes | Higher per-cell suppressive potency; linked to post-LT recurrence, TAM differentiation, poor prognosis [2,3,5,23,31] |
| eMDSC (Early stage) | Lin− (CD3/14/15/19/56) HLA-DR− CD33+ CD11b+/low | Not well-defined (immature progenitors) | Arg-1, ROS, TGF-β (maturation-dependent) | Primarily peripheral blood of cancer patients; rare in healthy individuals | Enriched in early-stage cancers; variable role in HCC progression and some autoimmune overlap [3,10,18] |
| Fibrocytic MDSC (Emerging/F-MDSC) | CD11b+ CD33+ HLA-DR−; Fibrocyte markers (Collagen I+, CD34+, CD45+) | Limited data; fibrocyte-like (CD11b+ Collagen I+) | Potent TGF-β production; ECM remodeling; fibrosis and angiogenesis promotion | Tumor stroma; sites of chronic inflammation | Highly enriched in fibrotic HCC (viral/NAFLD-associated); drives fibrosis-carcinogenesis axis; associated with aggressive fibrotic tumors and poor outcome [20,21,27] |
| Drug Name | Nature/Type | Role/Mechanism in HCC Context (MDSC-Related) | Clinical Development Status (as of March 2026) |
|---|---|---|---|
| Danvatirsen (AZD9150) | STAT3 antisense oligonucleotide | Depletes STAT3 mRNA, promotes MDSC apoptosis and differentiation, reduces immunosuppression; combined with ICB | Pan-tumor + HCC expansion; Phase Ib/II (NCT03421353); limited HCC-specific cohort; ORR 26% in solid tumors with MDSC depletion; acceptable tolerability; HCC expansion ongoing |
| Napabucasin (BBI-608) | Small-molecule STAT3 inhibitor | Inhibits STAT3-driven fatty acid oxidation, alleviates MDSC/TAM-mediated T-cell exhaustion; synergizes with anti-PD-1 | Pan-tumor (HCC preclinical); Phase II/III (failed in CRC); no active dedicated HCC trial; preclinical survival benefit in HCC models |
| TTI-101 | Oral STAT3 inhibitor | Inhibits STAT3 signaling, impairs tumor proliferation and MDSC expansion; combined with CXCR4 antagonists or ICB | HCC-specific (advanced/refractory); Phase I completed + Ib/II ongoing (NCT03195699; NCT05440708); n = 17 HCC in Phase I (ORR 18%, CBR 54%); favorable safety, no major hematologic DLT; topline Phase II data expected H1 2026 |
| Pexidartinib | CSF1R inhibitor | Depletes CSF1-dependent myeloid populations, reduces MDSC infiltration; synergizes with ICB | Pan-tumor (HCC exploratory); Approved for TGCT; limited HCC data; exploratory in HCC |
| LY3022855 | CSF1R inhibitor | Similar to pexidartinib; reduces MDSC/TAM survival in TME; combined with anti-PD-L1 | Pan-tumor; Phase I (NCT02718911); limited HCC cohort; safety + MDSC reduction; liver enzyme elevation noted |
| Tadalafil | PDE5 inhibitor (metabolic modulator) | Suppresses Arg-1, iNOS, and ROS in MDSCs; elevates cGMP; synergizes with anti-PD-1 | Pan-tumor (HCC preclinical); Repurposed (Phase II in other cancers); strong preclinical synergy in HCC; no dedicated HCC trial |
| Terbinafine | SQLE inhibitor (antifungal repurposed) | Inhibits cholesterol biosynthesis in MDSCs, reduces infiltration; restores anti-PD-1 efficacy in MASH-HCC | Preclinical HCC only; No dedicated HCC trial; preclinical restoration of anti-PD-1 sensitivity; rare idiosyncratic hepatotoxicity |
| CXD101 | HDAC inhibitor | Triggers tumor-cell pyroptosis via STAT1-GSDME axis, reduces MDSC infiltration; combined with PD-1 blockade | HCC-specific (post A + T); Phase II (NCT05873244); recruiting; ORR/PFS with anti-PD-1; HDAC-class AEs (fatigue, GI, hematologic) |
| PCI-34051 | HDAC8 inhibitor | Downregulates MDSC function, promotes DC maturation; potentiates anti-PD-1/PD-L1 | Preclinical HCC; No clinical trial in HCC |
| Entinostat | HDAC inhibitor | Neutralizes MDSCs, enhances antitumor effect of PD-1 inhibition; transcriptional reprogramming | Pan-tumor; Phase II/III; limited HCC data; no active dedicated HCC trial |
| Bevacizumab | Anti-VEGF monoclonal antibody | Normalizes vasculature, reduces MDSC frequencies and hypoxia; synergizes with anti-PD-L1 (A + T regimen) | HCC-specific; Approved (IMbrave150, NCT03434379); large Phase III; OS 19.2 vs. 13.4 mo; hypertension, bleeding |
| MTL-CEBPA | Small activating RNA (saRNA) | Upregulates C/EBP-α, interrupts STAT3-MDSC loop; depletes MDSCs and reprograms TME; combined with TKIs/ICB | HCC-specific; Phase I completed + Phase II (NCT04710641); n = 24 HCC evaluable in Phase I (DCR 41–54%, durable PR); Grade 3 TRAEs ~24%; Phase II completed, further combo studies ongoing |
| Icaritin | Flavonoid derivative (ERα36 inhibitor) | Inhibits IL-6/JAK2/STAT3 signaling, reduces MDSC generation and suppressive activity | HCC-specific; Approved in China (NMPA 2022); Phase III China data; mild, well tolerated |
| AMD3100 (Plerixafor) | CXCR4 antagonist | Blocks MDSC recruitment via CXCL12/CXCR4 axis; reduces infiltration and restores T-cell function | Pan-tumor (HCC exploratory); Approved for HSC mobilization; exploratory/combo use in HCC |
| 3PO/PFK-015/PFK-158 | PFKFB3 inhibitors (glycolysis modulators) | Reduce MDSC suppressive activity by inhibiting glycolysis; synergize with PD-1/PD-L1 blockade | Pan-tumor; Phase I completed; no active HCC trial |
| Lipofermata | FATP2 inhibitor (lipid metabolism) | Blocks arachidonic acid import, reduces PGE2 production in MDSCs; abolishes suppressive activity | Preclinical; No clinical trial |
| Etomoxir | FAO inhibitor (lipid metabolism) | Inhibits mitochondrial fatty acid oxidation in MDSCs; restores T-cell function | Preclinical; No clinical trial (mitochondrial toxicity) |
| ATRA (All-trans retinoic acid) | Differentiation promoter | Promotes MDSC differentiation into non-suppressive cells | Pan-tumor (HCC exploratory); Phase I/II in other cancers; exploratory in HCC |
| ICG-001 | β-catenin/CBP inhibitor | Disrupts MDSC trafficking in β-catenin-mutant HCC; sensitizes “cold” tumors to anti-PD-1 | Preclinical HCC; No clinical trial |
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Ou, Y.; Wei, H.; Peng, C.; Li, J.; Wei, K.; Zhan, C.; Zhang, Z. Overcoming MDSC-Mediated Immunosuppression in Hepatocellular Carcinoma: From Mechanisms to Novel Immunotherapeutic Approaches. Cancers 2026, 18, 980. https://doi.org/10.3390/cancers18060980
Ou Y, Wei H, Peng C, Li J, Wei K, Zhan C, Zhang Z. Overcoming MDSC-Mediated Immunosuppression in Hepatocellular Carcinoma: From Mechanisms to Novel Immunotherapeutic Approaches. Cancers. 2026; 18(6):980. https://doi.org/10.3390/cancers18060980
Chicago/Turabian StyleOu, Yangzhi, Huaxiu Wei, Chunxiu Peng, Jin Li, Ke Wei, Chenjie Zhan, and Zhiyong Zhang. 2026. "Overcoming MDSC-Mediated Immunosuppression in Hepatocellular Carcinoma: From Mechanisms to Novel Immunotherapeutic Approaches" Cancers 18, no. 6: 980. https://doi.org/10.3390/cancers18060980
APA StyleOu, Y., Wei, H., Peng, C., Li, J., Wei, K., Zhan, C., & Zhang, Z. (2026). Overcoming MDSC-Mediated Immunosuppression in Hepatocellular Carcinoma: From Mechanisms to Novel Immunotherapeutic Approaches. Cancers, 18(6), 980. https://doi.org/10.3390/cancers18060980
