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首页> 外文期刊>Frontiers in Immunology >Immunogenomic Landscape in Breast Cancer Reveals Immunotherapeutically Relevant Gene Signatures
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Immunogenomic Landscape in Breast Cancer Reveals Immunotherapeutically Relevant Gene Signatures

机译:乳腺癌免疫因子景观揭示了免疫治疗相关的基因特征

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Breast cancer is characterized by some types of heterogeneity, high aggressive behaviour, and low immunotherapeutic efficiency. Detailed immune stratification is a prerequisite for interpreting resistance to treatment and escape from immune control. Hence, the immune landscape of breast cancer needs further understanding. We systematically clustered breast cancer into six immune subtypes based on the mRNA expression patterns of immune signatures and comprehensively depicted their characteristics. The immunotherapeutic benefit score (ITBscore) was validated to be a superior predictor of the response to immunotherapy in cohorts from various datasets. Six distinct immune subtypes related to divergences in biological functions, signatures of immune or stromal cells, extent of the adaptive immune response, genomic events, and clinical prognostication were identified. These six subtypes were characterized as immunologically quiet, chemokine dominant, lymphocyte depleted, wounding dominant, innate immune dominant, and IFN-γ dominant and exhibited features of the tumor microenvironment (TME). The high ITBscore subgroup, characterized by a high proportion of M1 macrophages:M2 macrophages, an activated inflammatory response, and increased mutational burden (such as mutations in TP53, CDH1 and CENPE), indicated better immunotherapeutic benefits. A low proportion of tumor-infiltrating lymphocytes (TILs) and an inadequate response to immune treatment were associated with the low ITBscore subgroup, which was also associated with poor survival. Analyses of four cohorts treated with immune checkpoint inhibitors (ICIs) suggested that patients with a high ITBscore received significant therapeutic advantages and clinical benefits. Our work may facilitate the understanding of immune phenotypes in shaping different TME landscapes and guide precision immuno-oncology and immunotherapy strategies.
机译:乳腺癌的特征在于某种类型的异质性,高侵蚀性行为和低免疫治疗效率。详细的免疫分层是解释对治疗和逃避免疫控制的抗性的先决条件。因此,乳腺癌的免疫景观需要进一步了解。基于免疫签名的mRNA表达模式,我们将乳腺癌系统地聚集成六种免疫亚型,并综合描绘了它们的特征。免疫治疗福利评分(ITBSCORE)被验证为对来自各个数据集的群组中的免疫疗法的响应的优越预测因子。六种不同的免疫亚型与生物学功能的分歧,鉴定了免疫或基质细胞的签名,适应性免疫应答,基因组事件和临床预后的程度。这6个亚型被特征为免疫静脉,趋化因子显性,淋巴细胞耗尽,伤口显性,先天免疫占优势,和IFN-γ显性和表现出肿瘤微环境(TME)的特征。高ITBSCORE亚组,其特征在于高比例的M1巨噬细胞:M2巨噬细胞,活性炎症反应和增加的突变负担(如TP53,CDH1和CENPE中的突变),表明了更好的免疫治疗益处。低比例的肿瘤浸润淋巴细胞(TIL)和对免疫治疗的不足反应与低ISBSCORE亚组有关,其与存活率不佳有关。用免疫检查点抑制剂治疗的四个群组(ICIS)的分析表明,高ITBSCORE的患者得到了显着的治疗优势和临床效益。我们的作品可以促进在塑造不同TME景观和指导精密免疫肿瘤和免疫治疗策略方面的免疫表型。

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