RNF43 p.G659fs 通过 PI3K/AKT/mTOR 信号通路和 HLA-E 上调导致 MSI-high 结直肠癌中 NK 细胞功能障碍
RNF43 p.G659fs leads to natural killer cell dysfunction in MSI-high colorectal cancer through PI3K/AKT/mTOR signaling and HLA-E up-regulation.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Pharmacological targets and mechanism of baicalein in treating breast cancer: a study based on network pharmacology, molecular docking, and bioinformatics analysis.
Pharmacological targets and mechanism of baicalein in treating breast cancer: a study based on network pharmacology, molecular docking, and bioinformatics analysis.
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乳腺癌(BC)是全球女性中最常见的恶性肿瘤,凸显了对新型治疗策略的迫切需求。黄芩素是一种来源于黄芩的生物活性黄酮类化合物,在临床前研究中显示出有前景的抗肿瘤特性,但其在BC中的精确分子靶点和机制仍未得到充分表征。
本研究整合了网络药理学、分子对接、转录组分析和微生物组学,以系统阐明黄芩素在BC中的治疗潜力和临床相关性。我们通过网络药理学鉴定了37个黄芩素相关靶点(BRTs),并通过差异表达分析和预后验证将其缩小至四个核心靶点(HSP90AA1、CCNB1、NCOA2、TDRD7)。分子对接和分子动力学模拟揭示了黄芩素与这些靶点之间的强结合亲和力(≤ - 5.0 kJ/mol)。通过多因素Cox回归构建了黄芩素相关预后特征(BRPS),将患者分为高风险组和低风险组。高风险组表现出显著更差的总生存期(P < 0.001)、免疫抑制升高(如M2巨噬细胞富集)以及化疗敏感性降低。功能富集分析揭示了风险组之间的差异通路:高风险组富集于细胞外基质重塑和PI3K-AKT信号通路,而低风险组则呈现细胞因子相互作用和B细胞受体通路的激活。
值得注意的是,瘤内微生物组(IM)分析揭示了125个差异丰度微生物分类群,其中Succinimonas和Acidibacillus与高风险BRT表达呈正相关。免疫景观分析进一步表明,低危患者表现出CD8+ T/NK细胞浸润增加、免疫检查点表达升高(PD-1/CTLA-4),以及对免疫治疗的反应性预测更高。药物敏感性分析将BRPS与化疗疗效相关联,高危患者对甲氨蝶呤和多西他赛表现出敏感性。
本研究准确鉴定了黄芩素治疗BC的四个核心靶点。BRPS可预测患者预后并指导个体化治疗策略,将黄芩素定位为常规疗法的潜在辅助手段。这些发现架起了传统药理学与系统生物学之间的桥梁,为BC管理中的精准肿瘤学提供了可操作的见解。
Breast cancer (BC) is the leading malignancy affecting women globally, underscoring the urgent need for novel therapeutic strategies. Baicalein, a bioactive flavonoid derived from Scutellaria baicalensis, has shown promising antitumor properties in preclinical studies, yet its precise molecular targets and mechanisms in BC remain inadequately characterized.
This study integrates network pharmacology, molecular docking, transcriptomic profiling, and microbiomics to systematically elucidate the therapeutic potential and clinical relevance of baicalein in BC.
We identified 37 baicalein-related targets (BRTs) through network pharmacology, narrowing these to four hub targets (HSP90AA1, CCNB1, NCOA2, TDRD7) via differential expression analysis and prognostic validation. Molecular docking and molecular dynamics simulations revealed strong binding affinities (≤ - 5. 0 kJ/mol) between baicalein and these targets. A baicalein-related prognostic signature (BRPS) was constructed via multivariate Cox regression, stratifying patients into high- and low-risk groups.
The high-risk group exhibited significantly worse overall survival (P < 0. 001), elevated immunosuppression (e. g. , M2 macrophage enrichment), and reduced chemotherapy sensitivity. Functional enrichment analyses revealed divergent pathways between the risk groups: the high-risk group was enriched in extracellular matrix remodeling and PI3K-AKT signaling, whereas the low-risk group presented activation of cytokine interactions and B-cell receptor pathways.
Notably, intratumor microbiome (IM) profiling revealed 125 differentially abundant microbial taxa, with Succinimonas and Acidibacillus correlating positively with high-risk BRT expression.
Immune landscape analysis further demonstrated that low-risk patients presented increased CD8 + T/NK cell infiltration, elevated immune checkpoint expression (PD-1/CTLA-4), and greater predicted responsiveness to immunotherapy. Drug sensitivity analysis linked the BRPS to chemotherapeutic efficacy, with high-risk patients showing susceptibility to methotrexate and docetaxel.
This study accurately identified the four core targets of baicalein in treating BC. The BRPS could predict patient prognosis and guide personalized therapeutic strategies, positioning baicalein as a potential adjunct to conventional therapies.
These findings bridge traditional pharmacology with systems biology, offering actionable insights for precision oncology in BC management.
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