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Frontiers in immunology · 2026

Integrated plasma proteomics identifies HLA-G and osteopontin as circulating biomarkers of resistance to PD-1 inhibitor plus chemotherapy in choriocarcinoma.

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Wang Weidi, Chen Tianyi, Wang Haoyu, Zhao Jiayuan, Yang Chen, Wu Yuxiao, Kong Yujia, Wang Dan, Li Yuan, Yang Junjun, Xiang Yang

Аннотация

INTRODUCTION: Although programmed cell death protein 1 (PD-1) inhibitors combined with chemotherapy have improved outcomes in high-risk choriocarcinoma, primary resistance remains a clinically important challenge without reliable predictive biomarkers.

METHODS: We performed data-independent acquisition mass spectrometry (DIA-MS) on pretreatment plasma from a nested discovery subset of 30 patients, followed by enzyme-linked immunosorbent assay (ELISA) assessment of shortlisted candidates in the full cohort of 60 patients. An exploratory two-marker logistic model was developed and internally assessed in the same cohort. Exploratory tissue immunophenotyping and analyses of public tissue-transcriptomic and immunotherapy datasets were used to provide biological context.

RESULTS: DIA-MS identified a resistance-associated plasma proteomic signature enriched in inflammatory and immunomodulatory mediators among patients with progressive disease. In the full-cohort ELISA assessment, elevated baseline plasma HLA-G and osteopontin (OPN) were associated with primary resistance. The exploratory two-marker model showed an apparent area under the receiver operating characteristic curve of 0.908. In the limited tissue subset, higher HLA-G expression tended to be associated with lower CD8-positive T-cell density, whereas higher OPN expression was associated with increased CD163-positive macrophage density. Public-dataset analyses provided supportive context for associations of HLA-G and SPP1 transcript expression with immune-related programs and unfavorable outcomes.

DISCUSSION: Elevated circulating HLA-G and OPN are associated with resistance to PD-1 inhibitor plus chemotherapy in choriocarcinoma and may serve as candidate minimally invasive biomarkers for pretreatment risk stratification. Independent validation and functional investigation are required before clinical application.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты