BACKGROUND: Cervical cancer (CC) is a leading cause of cancer-related deaths in women, and understanding the tumor immune microenvironment is crucial for identifying novel biomarkers and therapeutic targets. While T cells have been extensively studied in oncology, the role of B cells in CC remains poorly understood. METHODS: In this study, we generated and integrated multi-omics data, including single-cell RNA sequencing, single-nucleus RNA sequencing, spatial transcriptomics, bulk RNA sequencing, and multiplex immunofluorescence to investigate the composition and transcriptomic states of B cells in CC. RESULTS: Initially, we analyzed plasma cells, classifying them into IgA(+) and IgG(+) subtypes. We found that the proportion of IgA(+) plasma cells was lower in cancer samples, whereas IgG(+) plasma cells were higher. IgA(+) plasma cells exhibited protein folding and B cell activation characteristics, while IgG(+) plasma cells were associated with apoptosis and immune suppression. Subsequently, we focused on two specific plasma cell populations, MANF_PC and HSPA1B_PC. MANF_PC, which were predominantly enriched in normal tissues, were linked to enhanced antibody synthesis and better prognosis, while HSPA1B_PC, primarily found in cancerous tissues, were associated with apoptotic pathways and poor clinical outcomes. Importantly, HSPA1B_PC are associated with tertiary lymphoid structures (TLS), where they show significant spatial colocalization with immunosuppressive T cell subsets, including Tregs and Th17 cells within TLS. CONCLUSIONS: We identified distinct plasma cell subsets in CC and found that HSPA1B_PC are enriched in tumors, associated with immunosuppressive T cells in TLS. These findings suggest that HSPA1B_PC contribute to an immunosuppressive microenvironment in CC, highlighting their potential as therapeutic targets.
Multi-omics profiling reveals an immunosuppressive plasma cell subset within tertiary lymphoid structures in cervical cancer.
阅读:2
作者:Huang Qingyu, Wang Fuhao, Li Xiaohui, Zou Wenxue, Huang Zhou, Li Xia, Yang Wenhui, Lei Tianyu, Yue Shengqin, Wang Qian, An Qi, Zhang Bicheng, Wang Cong, Liu Chao, Hu Qinyong
| 期刊: | Cancer Immunology Immunotherapy | 影响因子: | 5.100 |
| 时间: | 2025 | 起止号: | 2025 Dec 23; 75(1):26 |
| doi: | 10.1007/s00262-025-04268-w | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
