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Biology direct · 2026

CD13 identifies S100A4+ immunosuppressive monocytes and predicts temozolomide benefit in glioblastoma.

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Yu Dong, Hu Ruiyao, Zhu Qing, Wang Xiao

Аннотация

BACKGROUND: Glioblastoma (GBM) is an immunologically "cold" tumor in which S100A4-driven immunosuppressive myeloid cells promote progression and resistance. However, the specific immune subpopulation that intrinsically expresses S100A4 and the corresponding cell surface targets remain poorly defined.

MATERIALS AND METHODS: S100A4 expression was profiled across immune subsets in healthy human bone marrow and peripheral blood by flow cytometry. TCGA GBM datasets were used to identify S100A4-correlated surface markers, and CD13 (encoded by ANPEP) was validated across the Human Protein Atlas, Immgen, GEO and single-cell RNA-seq datasets. The functional link between CD13, S100A4, and TGFβ was assessed by network analysis and correlation. Drug response analysis was conducted using GEPIA 3 platform.

RESULTS: Monocytes were the predominant S100A4-expressing population in both bone marrow and peripheral blood. CD13 emerged as the surface marker most significantly correlated with S100A4 in GBM. CD13+ monocytes co-expressed high levels of S100A4 and were transcriptionally positioned between monocytic and granulocytic lineages. These cells displayed a strong association with TGFβ signaling, suggesting a CD13-TGFβ-S100A4 immunosuppressive axis. Notably, temozolomide conferred a significant survival benefit specifically in CD13-high GBM patients.

CONCLUSIONS: CD13 marks S100A4-high immunosuppressive monocytes in GBM and represents an accessible surface target for monitoring and potentially depleting this pathogenic population. The CD13-S100A4-TGFβ axis and the predictive value of CD13 for temozolomide response offer a translational framework for advancing GBM immunotherapy.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты