journal article·2026-04Open access

PRELID1 and VDAC3 Coordinate a Senescence‐Like State in Germinal Center B Cells to Promote IL‐7–Driven Antitumor Immunity in Colorectal Cancer

Yuhan Liao, Huimeng Xu, Xinghua Zhuo, Shupeng Hu, Lanhui Huang, Zhe Hao, Jianxiong Chen, Yulu Wang, Jun Zhou

Advanced Science· Volume 13· Issue 23

Abstract

ABSTRACT Colorectal cancer (CRC) is characterized by an immune‐suppressive microenvironment that facilitates to tumor progression and immunotherapy resistance. Emerging evidence indicates that tumor‐infiltrating B cell subsets play dual roles in modulating antitumor immunity. However, the mechanisms underlying their regulatory functions remain poorly understood. In this study, we constructed single‐cell transcriptomic analyses and a Bgc adoptive transfer model in B cell‐deficient mice, performing multifaceted validation to confirm that targeting the PRELID1–VDAC3–IL‐7 axis in senescence‐like germinal center B cells enhances sensitivity to anti‐PD‐L1 immunotherapy. Mechanistically, we identify a senescence‐like state in germinal center B cells (Bgc) that enhances antitumor immunity in CRC by promoting Interleukin‐7 (IL‐7) secretion and alleviating CD8 + T cell exhaustion. Specifically, this senescence‐like state is driven by PRELID1 and VDAC3 through their cooperative regulation of mitochondria‐lysosome interactions in Bgc cells, which enhances IL‐7 secretion and promotes functional crosstalk with CD8 + T cells to sustain antitumor immunity. In summary, our findings support a combinatorial strategy integrating targeting of the PRELID1–VDAC3–IL‐7 axis in senescence‐like Bgc cells with anti‐PD‐L1 immunotherapy for colorectal cancer.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Cancer Immunotherapy and Biomarkers · Telomeres, Telomerase, and Senescence · T-cell and B-cell Immunology

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

Affiliations

Department of Pathology Nanfang Hospital School of Basic Medical Sciences Southern Medical University Guangzhou Guangdong China

Guangdong Province Key Laboratory of Molecular Tumor Pathology Guangzhou Guangdong China

School of Computer Science Guangdong Polytechnic Normal University Guangzhou China

School of Computer Science University of Manchester Manchester UK

Department of Pathology The Tenth Affiliated Hospital (Dongguan People's Hospital) Southern Medical University Dongguan China

Dongguan Clinical Pathology Diagnosis Center Dongguan China

Dongguan Key Laboratory of Clinical Pathology Dongguan China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Guangdong Province

References (45)

Show source-provided references
1. 10.3322/caac.2166010.3322/caac.21660 ↗
2. 10.1016/j.ccell.2023.07.01110.1016/j.ccell.2023.07.011 ↗
3. 10.1016/j.cell.2023.03.00610.1016/j.cell.2023.03.006 ↗
4. 10.1200/JCO.22.0159910.1200/JCO.22.01599 ↗
5. 10.1056/NEJMoa211265110.1056/NEJMoa2112651 ↗
6. 10.1056/NEJMoa220217010.1056/NEJMoa2202170 ↗
7. 10.1056/NEJMoa220144510.1056/NEJMoa2201445 ↗
8. 10.1200/JCO.21.0269110.1200/JCO.21.02691 ↗
9. 10.1146/annurev‐med‐012017‐04320810.1146/annurev‐med‐012017‐043208 ↗
10. 10.1016/j.ccell.2023.04.01110.1016/j.ccell.2023.04.011 ↗
11. 10.1038/s41586‐019‐1922‐810.1038/s41586‐019‐1922‐8 ↗
12. 10.1038/s41586‐021‐04082‐110.1038/s41586‐021‐04082‐1 ↗
13. 10.7150/ijbs.11889610.7150/ijbs.118896 ↗
14. 10.1016/j.cell.2021.11.00710.1016/j.cell.2021.11.007 ↗
15. 10.1016/j.molmed.2019.10.00910.1016/j.molmed.2019.10.009 ↗
16. 10.1016/j.jid.2018.02.03510.1016/j.jid.2018.02.035 ↗
17. 10.1073/pnas.230645412010.1073/pnas.2306454120 ↗
18. 10.1073/pnas.200323611710.1073/pnas.2003236117 ↗
19. 10.1038/nature2548610.1038/nature25486 ↗
20. 10.1016/j.chemosphere.2023.13807110.1016/j.chemosphere.2023.138071 ↗
21. 10.1016/j.tcb.2019.02.00410.1016/j.tcb.2019.02.004 ↗
22. 10.15252/embj.202311390810.15252/embj.2023113908 ↗
23. 10.1038/s41467‐019‐09089‐x10.1038/s41467‐019‐09089‐x ↗
24. 10.1073/pnas.230431912010.1073/pnas.2304319120 ↗
25. 10.4049/jimmunol.158.3.110810.4049/jimmunol.158.3.1108 ↗
26. 10.1038/nature1330010.1038/nature13300 ↗
27. 10.1186/s12964‐025‐02214‐y10.1186/s12964‐025‐02214‐y ↗
28. 10.1038/emboj.2013.17110.1038/emboj.2013.171 ↗
29. 10.15252/embj.20189975310.15252/embj.201899753 ↗
30. 10.1126/science.aar507810.1126/science.aar5078 ↗
31. 10.1016/j.cmet.2013.07.00810.1016/j.cmet.2013.07.008 ↗
32. 10.1136/jitc‐2024‐00986510.1136/jitc‐2024‐009865 ↗
33. 10.7150/thno.10079310.7150/thno.100793 ↗
34. 10.1136/gutjnl‐2022‐32914710.1136/gutjnl‐2022‐329147 ↗
35. 10.1126/sciimmunol.abq242410.1126/sciimmunol.abq2424 ↗
36. 10.1002/cac2.1260510.1002/cac2.12605 ↗
37. 10.1038/s41586‐023‐06231‐010.1038/s41586‐023‐06231‐0 ↗
38. 10.1002/advs.20240342310.1002/advs.202403423 ↗
39. 10.1515/hsz‐2020‐012110.1515/hsz‐2020‐0121 ↗
40. 10.1016/j.bbalip.2016.08.00610.1016/j.bbalip.2016.08.006 ↗
41. 10.1038/s41467‐023‐39811‐910.1038/s41467‐023‐39811‐9 ↗
42. 10.1038/s41467‐024‐49221‐010.1038/s41467‐024‐49221‐0 ↗
43. 10.1158/2159‐8290.CD‐22‐052810.1158/2159‐8290.CD‐22‐0528 ↗
44. 10.1158/2159‐8290.CD‐22‐052310.1158/2159‐8290.CD‐22‐0523 ↗
45. 10.1186/s12967‐025‐06340‐610.1186/s12967‐025‐06340‐6 ↗