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pmid:38993569
A High Immune-Related Index with the Suppression of cGAS-STING Pathway is a Key Determinant to Herceptin Resistance in HER2+ Breast Cancer.
Ruizhao Cai · Qingshan Chen · Dechang Zhao · Yan Wang · Ling Zhou · Kaiming Zhang · Jialu Shan · Zhiling Li · Yuhong Chen · Hailiang Zhang · Gongkan Feng · Xiaofeng Zhu · Rong Deng · Jun Tang
International journal of biological sciences · 2024 doi:10.7150/ijbs.94868
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Experiment
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Data
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Analysis
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Execution
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Complete file
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Given the key role of immune microenvironment in tumor development, there is a lack of an ideal prognostic model that fully accounts for immune infiltration. In this study, WGCNA analysis was performed to discover the relationship between immune-related signaling and prognosis of HER2+ BC. After Herceptin-resistant BC cell lines established, transcriptional profiles of resistant cell line and RNA-sequencing data from GSE76360 cohort were analyzed for candidate genes. 85 samples of HER2+ BC from TCGA database were analyzed by the Cox regression, XGBoost and Lasso algorithm to generalize a credible immune-related prognostic index (IRPI). Correlations between the IRPI signature and tumor microenvironment were further analyzed by multiple algorithms, including single-cell RNA sequencing data analysis. Patients with high IRPI had suppressive tumor immune microenvironment and worse prognosis. The suppression of type I interferon signaling indicated by the IRPI in Herceptin-resistant HER2+ BC was validated. And we elucidated that the suppression of cGAS-STING pathway is the key determinant underlying immune escape in Herceptin-resistant BC with high IRPI. A combination of STING agonist and DS-8201 could serve as a new strategy for Herceptin-resistant HER2+ BC.", "claims": [{"id": "claim-method", "statement": "Univariate Cox regression analysis of OS was performed to identify prognostic genes with p <0.05 using TCGA HER2+ BC cohort. XGBoost algorithm was performed to identify immune-related genes. 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Patients with high IRPI had s"], "order_basis": "paper_text_order:610", "id": "assay:1"}, {"role": "data_generation", "definition_id": "scrna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "unsupported", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["r analyzed by multiple algorithms, including single-cell RNA sequencing data analysis. Patients with high IRPI had s"], "order_basis": "paper_text_order:981", "id": "assay:2"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Univariate Cox regression analysis of OS was performed to identify prognostic genes with p <0.05 using TCGA HER2+ BC cohort. 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