Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Front Immunol. 2022 Aug 11;13:942765. doi: 10.3389/fimmu.2022.942765. eCollection 2022.
Prior studies have highlighted that novel programmed cell death (PCD) modalities, including ferroptosis, pyroptosis, and necroptosis, are correlated with tumor progression and antitumor immunity. Nonetheless, comprehensive analysis of tumor microenvironment (TME) profiles mediated by the crosstalk of distinct PCD forms has not been conducted in breast cancer (BC).
Here, we curated 34 identified PCD-associated genes (PCDAGs) and applied the consensus clustering algorithm to establish PCD-mediated tumor patterns in BC. Subsequently, based on prognostic differentially expressed genes extracted from distinct PCD-mediated patterns, we applied the LASSO algorithm to construct CD_Score. Furthermore, the correlation analysis between CD_Score and TME features, molecular subtypes, clinicopathological characteristics, drug response, and immunotherapeutic efficacy was performed.
Three distinct PCD-clusters were determined among 2,038 BC samples, which did not only display different clinical outcomes but highly correlated to the established immunological tumor phenotypes: "desert," "excluded," and "inflamed" immune profiles. Based on the CD_Score derived from the PCD-related gene signature, BC patients could be stratified into CD_Score-low and -high group, of which the former displayed satisfactory survival outcome and enhanced immune infiltration. Further exploration identified that the CD_Score-high group significantly correlated with elevated neoantigen load and higher mutation frequency in SMGs (e.g., TP53 and MAP3K1) and reduced expression of immune checkpoint proteins.
This research is the first to emphasize the close relationship between distinct cell death modalities and the diversity and complexity of immune infiltration in TME. We established the CD_Score, which could help enhance our cognition of TME features and facilitate the clinical application of immunotherapy.
先前的研究强调了新型程序性细胞死亡(PCD)方式,包括铁死亡、细胞焦亡和坏死性凋亡,与肿瘤进展和抗肿瘤免疫有关。然而,不同 PCD 形式相互作用介导的肿瘤微环境(TME)谱的综合分析尚未在乳腺癌(BC)中进行。
在这里,我们整理了 34 个已确定的与 PCD 相关的基因(PCDAGs),并应用共识聚类算法在 BC 中建立了由 PCD 介导的肿瘤模式。随后,基于从不同 PCD 介导的模式中提取的预后差异表达基因,我们应用 LASSO 算法构建 CD_Score。此外,还对 CD_Score 与 TME 特征、分子亚型、临床病理特征、药物反应和免疫治疗效果的相关性进行了分析。
在 2038 个 BC 样本中确定了三种不同的 PCD 聚类,它们不仅显示出不同的临床结局,而且与已建立的免疫肿瘤表型高度相关:“荒漠”、“排斥”和“炎症”免疫谱。基于源自 PCD 相关基因特征的 CD_Score,BC 患者可以分为 CD_Score-低和 -高组,前者显示出令人满意的生存结果和增强的免疫浸润。进一步的探索发现,CD_Score-高组与新抗原负荷升高、SMGs(如 TP53 和 MAP3K1)突变频率升高和免疫检查点蛋白表达降低显著相关。
这项研究首次强调了不同细胞死亡方式与 TME 中免疫浸润的多样性和复杂性之间的密切关系。我们建立了 CD_Score,可以帮助我们增强对 TME 特征的认识,并促进免疫治疗的临床应用。