雌激素相关受体-α拮抗剂抑制线粒体氧化磷酸化,减少子宫内膜癌中M2巨噬细胞浸润。

IF 10.6 1区 医学 Q1 IMMUNOLOGY
Jincheng Ma, Xiaodan Mao, Yuan Ren, Xite Lin, Qibin Wu, Maotong Zhang, Jingxuan Ye, Shuxia Xu, Pingping Su, Gang Chen, Chaoyang Sun, Alexander Mustea, Pengming Sun
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引用次数: 0

摘要

目的:子宫内膜癌是一种与代谢失调密切相关的女性恶性肿瘤。大多数EC患者对免疫治疗反应较差,强调需要在代谢和免疫调节的交叉点确定新的治疗靶点。方法:在体外:综合蛋白质组学、CUT&Tag(靶下切割和标记)测序、双荧光素酶报告基因测定、脂质组学分析和巨噬细胞-肿瘤共培养系统共同证明了雌激素相关受体(ERR) α在KLE和HEC-1A人细胞系中的双重代谢-免疫调节作用。使用患者来源的类器官来验证ERRα靶向的治疗效果。在体内,采用KLE细胞异种移植模型评估小鼠的致瘤性和治疗效果。在人类中,通过免疫组织化学(IHC)分析166例EC患者的回顾性队列,定量ERRα表达和巨噬细胞浸润,建立临床相关性和治疗意义。采用多重免疫组化法对M2巨噬细胞在EC进展中的空间分析。结果:在EC细胞中,ERRα通过直接启动子结合转录上调蛋白酪氨酸磷酸酶线粒体1 (-624 ~ -609 bp)。这种相互作用促进心磷脂的生物合成,从而稳定线粒体内膜超微结构,增强氧化磷酸化活性,提高活性氧(ROS)水平。随后,ROS激活NF-κB信号轴,诱导CCL2分泌,募集M2巨噬细胞进入肿瘤微环境。重要的是,联合抑制ERRα(使用XCT790)和CCL2(使用carlumab)显著增强了EC的抗肿瘤疗效。此外,ERRα在EC组织中的表达可作为疾病评估的临床指标。结论:本研究揭示了ERRα代谢轴在EC免疫微环境重塑中的关键作用,为线粒体脂质代谢与巨噬细胞驱动的免疫抑制之间的联系提供了机制证据。我们的研究结果为开发针对代谢-免疫串扰的联合疗法奠定了理论基础,为克服EC的免疫治疗耐药性提供了策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Antagonism of estrogen-related receptor-α inhibits mitochondrial oxidative phosphorylation and reduces M2 macrophage infiltration in endometrial cancer.

Objective: Endometrial cancer (EC) is a female malignancy closely linked to metabolic dysregulation. Most patients with EC exhibit poor responses to immunotherapy, underscoring the need to identify novel therapeutic targets at the intersection of metabolism and immune regulation.

Methods: In vitro: integrated proteomics, CUT&Tag (cleavage under targets and tag mentation) sequencing, dual-luciferase reporter assays, lipidomic profiling, and macrophage-tumor co-culture systems collectively demonstrated estrogen-related receptor (ERR) α's dual metabolic-immunomodulatory role in KLE and HEC-1A human cell lines. Patient-derived organoids were used to validate the therapeutic efficacy of ERRα targeting. In vivo, the KLE cell xenograft model was used to evaluate tumorigenicity and therapeutic efficacy in mice. In humans, a retrospective cohort of 166 patients with EC was analyzed by immunohistochemistry (IHC) to quantify ERRα expression and macrophage infiltration, establishing clinical correlations and therapeutic implications. Spatial analysis of M2 macrophages in EC progression was performed using multiplex IHC.

Results: In EC cells, ERRα transcriptionally upregulates protein tyrosine phosphatase mitochondrial 1 through direct promoter binding (-624 to -609 bp). This interaction promotes cardiolipin biosynthesis, thereby stabilizing mitochondrial inner membrane ultrastructure, enhancing oxidative phosphorylation activity, and elevating reactive oxygen species (ROS) levels. Subsequently, ROS activates the NF-κB signaling axis, inducing CCL2 secretion to recruit M2 macrophages into the tumor microenvironment. Importantly, combined inhibition of ERRα (using XCT790) and CCL2 (using carlumab) significantly enhanced antitumor efficacy in EC. Additionally, ERRα expression in EC tissues may serve as a clinical indicator for disease evaluation.

Conclusions: This study uncovers a pivotal role of the ERRα metabolic axis in reshaping the EC immune microenvironment, providing the mechanistic evidence linking mitochondrial lipid metabolism to macrophage-driven immunosuppression. Our findings establish a theoretical foundation for developing combination therapies targeting metabolic-immune crosstalk, offering a strategy to overcome immunotherapy resistance in EC.

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来源期刊
Journal for Immunotherapy of Cancer
Journal for Immunotherapy of Cancer Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
17.70
自引率
4.60%
发文量
522
审稿时长
18 weeks
期刊介绍: The Journal for ImmunoTherapy of Cancer (JITC) is a peer-reviewed publication that promotes scientific exchange and deepens knowledge in the constantly evolving fields of tumor immunology and cancer immunotherapy. With an open access format, JITC encourages widespread access to its findings. The journal covers a wide range of topics, spanning from basic science to translational and clinical research. Key areas of interest include tumor-host interactions, the intricate tumor microenvironment, animal models, the identification of predictive and prognostic immune biomarkers, groundbreaking pharmaceutical and cellular therapies, innovative vaccines, combination immune-based treatments, and the study of immune-related toxicity.
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