journal article·2026-06Open access

Tumor‐Derived Exosomes Deliver Membrane‐Bound Fgl2 to Activate FcγRIIB‐Mediated Immunosuppression in Myeloid‐Derived Suppressor Cells

Fenglin Lin, Dingqin Cai, Chunli Jian, Yaxian Qi, Linpeng Zheng, Qiao Yang, Longyao Zhang, Diangang Chen, Lingchen Li, Ping Cai, Lingyou Sun, Luping Zhang, Jianguo Sun

Advanced Science· Volume 13· Issue 35

Abstract

ABSTRACT Myeloid‐derived suppressor cells (MDSCs) play a pivotal role in establishing an immunosuppressive tumor microenvironment (TME), yet the mechanisms underlying their functional activation remain incompletely defined. Here, we identify the Fgl2‐FcγRIIB signaling axis as a critical mediator of MDSC‐driven immune evasion across solid tumors. Analysis of clinical specimens revealed that Fgl2 expression is significantly elevated in tumor tissues and inversely correlates with CD8 + T cell infiltration, while positively associating with the accumulation of FcγRIIB + MDSCs and poor patient prognosis. We demonstrate that tumor‐derived exosomes (TEX) function as efficient carriers that deliver membrane‐bound Fgl2 (mFgl2) to MDSCs. These exosomes are internalized by MDSCs through FcγRIIB‐mediated endocytosis, leading to an enhanced immunosuppressive function characterized by upregulated arginase‐1 (Arg‐1) and inducible nitric oxide synthase (iNOS) expression and an increased capacity to suppress CD8 + T cell proliferation. Genetic ablation of FcγRIIB or antibody‐mediated neutralization of Fgl2 abolished this exosome‐mediated immunosuppressive programming, restoring T cell activity and impairing tumor growth in vivo. Importantly, a therapeutic strategy combining an exosome secretion inhibitor, in combination with PD‐L1 blockade and MDSCs depletion, synergistically achieved potent antitumor effects. Our findings unveil a novel exosome‐dependent mechanism through which tumors systemically educate MDSCs, establishing the Fgl2‐FcγRIIB axis as a promising broad‐spectrum target for cancer immunotherapy.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Immune cells in cancer · Extracellular vesicles in disease · Cancer Immunotherapy and Biomarkers

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Oncology, Xinqiao Hospital Army Medical University Chongqing China

Department of Hematology and Oncology 921 Hospital of Joint Logistics Support Force of PLA(the Second Affiliated Hospital of Hunan Normal University) Changsha China

School of Pharmaceutical Engineering Chongqing Chemical Industry College Chongqing China

Funding

National Natural Science Foundation of China

References (82)

Show source-provided references
1. 10.3322/caac.2187110.3322/caac.21871 ↗
2. 10.1002/cac2.1258710.1002/cac2.12587 ↗
3. 10.1016/j.jncc.2024.01.00610.1016/j.jncc.2024.01.006 ↗
4. 10.1158/2159‐8290.CD‐24‐013110.1158/2159‐8290.CD‐24‐0131 ↗
5. 10.1016/j.ccell.2024.10.00810.1016/j.ccell.2024.10.008 ↗
6. 10.3390/cells1321177910.3390/cells13211779 ↗
7. 10.1016/j.ajt.2024.03.02210.1016/j.ajt.2024.03.022 ↗
8. 10.3390/cancers1713225110.3390/cancers17132251 ↗
9. 10.1016/j.lfs.2021.11962710.1016/j.lfs.2021.119627 ↗
10. 10.3390/cells1318154510.3390/cells13181545 ↗
11. 10.1002/advs.20240953710.1002/advs.202409537 ↗
12. 10.1186/s12943‐024‐02208‐310.1186/s12943‐024‐02208‐3 ↗
13. 10.1038/s41598‐024‐51217‐110.1038/s41598‐024‐51217‐1 ↗
14. 10.3389/fgene.2022.104600810.3389/fgene.2022.1046008 ↗
15. 10.1097/MD.000000000003508410.1097/MD.0000000000035084 ↗
16. 10.1158/2326‐6066.CIR‐23‐038910.1158/2326‐6066.CIR‐23‐0389 ↗
17. 10.1016/j.cytogfr.2022.08.00410.1016/j.cytogfr.2022.08.004 ↗
18. 10.1136/jitc‐2023‐00808110.1136/jitc‐2023‐008081 ↗
19. 10.7150/ijbs.5674810.7150/ijbs.56748 ↗
20. 10.2169/internalmedicine.55.614910.2169/internalmedicine.55.6149 ↗
21. 10.1016/j.thromres.2014.11.02310.1016/j.thromres.2014.11.023 ↗
22. 10.3109/08830185.2014.95636010.3109/08830185.2014.956360 ↗
23. 10.1002/cam4.152810.1002/cam4.1528 ↗
24. 10.1016/j.jss.2013.04.01110.1016/j.jss.2013.04.011 ↗
25. 10.1093/jnci/djy10710.1093/jnci/djy107 ↗
26. 10.1186/s12879‐018‐3473‐210.1186/s12879‐018‐3473‐2 ↗
27. 10.1186/s13046‐019‐1326‐510.1186/s13046‐019‐1326‐5 ↗
28. 10.1093/jnci/djv13710.1093/jnci/djv137 ↗
29. 10.7150/thno.6657510.7150/thno.66575 ↗
30. 10.1080/2162402X.2024.242398310.1080/2162402X.2024.2423983 ↗
31. 10.1016/j.devcel.2019.04.01110.1016/j.devcel.2019.04.011 ↗
32. 10.20892/j.issn.2095‐3941.2020.015010.20892/j.issn.2095‐3941.2020.0150 ↗
33. 10.3390/cells1210141610.3390/cells12101416 ↗
34. 10.1038/s41467‐025‐59489‐510.1038/s41467‐025‐59489‐5 ↗
35. 10.1016/j.ijpharm.2025.12575310.1016/j.ijpharm.2025.125753 ↗
36. 10.1038/s41586‐018‐0392‐810.1038/s41586‐018‐0392‐8 ↗
37. 10.1038/s41392‐021‐00784‐010.1038/s41392‐021‐00784‐0 ↗
38. 10.1186/s13578‐021‐00575‐810.1186/s13578‐021‐00575‐8 ↗
39. 10.17235/reed.2024.10089/202310.17235/reed.2024.10089/2023 ↗
40. 10.1158/2326‐6066.CIR‐24‐116310.1158/2326‐6066.CIR‐24‐1163 ↗
41. 10.1002/path.632710.1002/path.6327 ↗
42. 10.1186/s12967‐023‐04154‐y10.1186/s12967‐023‐04154‐y ↗
43. 10.1016/j.intimp.2024.11294910.1016/j.intimp.2024.112949 ↗
44. 10.3389/fimmu.2023.116792410.3389/fimmu.2023.1167924 ↗
45. 10.7150/ijbs.8547110.7150/ijbs.85471 ↗
46. 10.1126/scitranslmed.add186810.1126/scitranslmed.add1868 ↗
47. 10.1158/0008‐5472.CAN‐16‐278410.1158/0008‐5472.CAN‐16‐2784 ↗
48. 10.1159/00052620610.1159/000526206 ↗
49. 10.14715/cmb/2024.70.2.2910.14715/cmb/2024.70.2.29 ↗
50. 10.1016/j.intimp.2022.10963110.1016/j.intimp.2022.109631 ↗
51. 10.1038/s41467‐024‐49475‐810.1038/s41467‐024‐49475‐8 ↗
52. 10.1172/jci.insight.18256310.1172/jci.insight.182563 ↗
53. 10.1186/s12943‐019‐0982‐610.1186/s12943‐019‐0982‐6 ↗
54. 10.3389/fimmu.2024.134139010.3389/fimmu.2024.1341390 ↗
55. 10.1002/mco2.55110.1002/mco2.551 ↗
56. 10.3389/fimmu.2022.101681710.3389/fimmu.2022.1016817 ↗
57. 10.1016/j.gpb.2015.02.00110.1016/j.gpb.2015.02.001 ↗
58. 10.2174/138920022166620051510335410.2174/1389200221666200515103354 ↗
59. 10.3389/fcell.2021.73040010.3389/fcell.2021.730400 ↗
60. 10.1007/s13238‐018‐0509‐810.1007/s13238‐018‐0509‐8 ↗
61. 10.21037/atm‐22‐604910.21037/atm‐22‐6049 ↗
62. 10.5483/BMBRep.2022.55.1.13310.5483/BMBRep.2022.55.1.133 ↗
63. 10.1016/j.jconrel.2021.08.02410.1016/j.jconrel.2021.08.024 ↗
64. 10.1021/acsami.9b0089310.1021/acsami.9b00893 ↗
65. 10.1136/jitc‐2024‐00944910.1136/jitc‐2024‐009449 ↗
66. 10.1186/s13046‐022‐02294‐510.1186/s13046‐022‐02294‐5 ↗
67. 10.1093/neuonc/noae13510.1093/neuonc/noae135 ↗
68. 10.1158/2159‐8290.CD‐17‐132710.1158/2159‐8290.CD‐17‐1327 ↗
69. 10.1158/1535‐7163.MCT‐23‐074410.1158/1535‐7163.MCT‐23‐0744 ↗
70. 10.1016/j.immuni.2019.12.00610.1016/j.immuni.2019.12.006 ↗
71. 10.3390/genes1406116910.3390/genes14061169 ↗
72. 10.4240/wjgs.v17.i9.10821510.4240/wjgs.v17.i9.108215 ↗
73. 10.3390/diagnostics1103054410.3390/diagnostics11030544 ↗
74. 10.3389/fimmu.2020.0036910.3389/fimmu.2020.00369 ↗
75. 10.1158/2326‐6066.CIR‐16‐007310.1158/2326‐6066.CIR‐16‐0073 ↗
76. 10.1016/j.bbagrm.2024.19502810.1016/j.bbagrm.2024.195028 ↗
77. 10.1038/s41419‐021‐04487‐w10.1038/s41419‐021‐04487‐w ↗
78. 10.1002/advs.20190127810.1002/advs.201901278 ↗
79. 10.1016/j.jhep.2017.05.01910.1016/j.jhep.2017.05.019 ↗
80. 10.1111/os.1323210.1111/os.13232 ↗
81. 10.1016/j.jconrel.2018.12.00810.1016/j.jconrel.2018.12.008 ↗
82. 10.1016/j.currproblcancer.2021.10072610.1016/j.currproblcancer.2021.100726 ↗