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单细胞技术与空间转录组学:解码子宫内膜癌中的免疫低反应状态

Single-cell technologies and spatial transcriptomics: decoding immune low - response states in endometrial cancer.

作者信息

Li Yumeng, Qiu Hua, Zhao Zhenzhen, Qi Fanghua, Cai Pingping

机构信息

The First Clinical Medical College of Shandong University of Traditional Chinese Medicine, Jinan, China.

Gynecology, Jinan Municipal Hospital of Traditional Chinese Medicine, Jinan, China.

出版信息

Front Immunol. 2025 Jul 2;16:1636483. doi: 10.3389/fimmu.2025.1636483. eCollection 2025.

DOI:10.3389/fimmu.2025.1636483
PMID:40672944
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12263668/
Abstract

Globally, endometrial cancer continues to impact a significant number of women. Immunotherapy provides those suffering from advanced or relapsed disease hope, but an important barrier is still the absence of trustworthy predictive biomarkers. To tackle this challenge, single-cell sequencing and spatial transcriptomics (ST) are increasingly applied. In cervical cancers of the no specific molecular profile (NSMP) subtype accompanied by p53 mutations. In many cases, the tumor microenvironment (TME) in endometrial cancer exhibits strong immunosuppression or poor immune cell infiltration, often leading to worse clinical outcomes. Single-cell sequencing reveals cellular heterogeneity and helps identify potential therapeutic targets and predict treatment responses. Conversely, ST assists in determining biomarkers that influence the effectiveness of immunotherapy by capturing the spatial organization of tumors. When combined, these technologies allow for integrated multi-omics analysis that aids in the development of immunotherapies, prognostication, and diagnosis. But there are still moral and legal issues. Clinicians may be able to improve outcomes for patients who don't respond well to current immunotherapies by utilizing these combined approaches.

摘要

在全球范围内,子宫内膜癌持续影响着大量女性。免疫疗法为晚期或复发性疾病患者带来了希望,但一个重要障碍仍然是缺乏可靠的预测性生物标志物。为应对这一挑战,单细胞测序和空间转录组学(ST)的应用越来越广泛。在伴有p53突变的无特定分子谱(NSMP)亚型宫颈癌中。在许多情况下,子宫内膜癌的肿瘤微环境(TME)表现出强烈的免疫抑制或免疫细胞浸润不良,常常导致更差的临床结果。单细胞测序揭示了细胞异质性,有助于识别潜在的治疗靶点并预测治疗反应。相反,ST通过捕捉肿瘤的空间组织,协助确定影响免疫疗法疗效的生物标志物。将这些技术结合使用,可以进行综合多组学分析,有助于免疫疗法的开发、预后评估和诊断。但仍然存在道德和法律问题。临床医生或许可以通过利用这些联合方法,改善对当前免疫疗法反应不佳的患者的治疗效果。

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本文引用的文献

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Single-cell atlas of endothelial cells in atherosclerosis: identifying C1 CXCL12+ ECs as key proliferative drivers for immunological precision therapeutics in atherosclerosis.动脉粥样硬化中内皮细胞的单细胞图谱:确定C1 CXCL12 +内皮细胞是动脉粥样硬化免疫精准治疗的关键增殖驱动因素。
Front Immunol. 2025 May 12;16:1569988. doi: 10.3389/fimmu.2025.1569988. eCollection 2025.
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Decoding multiple myeloma: single-cell insights into tumor heterogeneity, immune dynamics, and disease progression.解码多发性骨髓瘤:对肿瘤异质性、免疫动态和疾病进展的单细胞见解
Front Immunol. 2025 May 8;16:1584350. doi: 10.3389/fimmu.2025.1584350. eCollection 2025.
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Immune microenvironment and molecular mechanisms in endometrial cancer: implications for resistance and innovative treatments.子宫内膜癌中的免疫微环境和分子机制:对耐药性及创新治疗的启示
Discov Oncol. 2025 Apr 16;16(1):532. doi: 10.1007/s12672-025-02169-z.
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Organoid models of ovarian cancer: resolving immune mechanisms of metabolic reprogramming and drug resistance.卵巢癌类器官模型:解析代谢重编程和耐药性的免疫机制
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Zn-DHM nanozymes regulate metabolic and immune homeostasis for early diabetic wound therapy.锌-二氢杨梅素纳米酶调节代谢和免疫稳态以用于早期糖尿病伤口治疗。
Bioact Mater. 2025 Mar 6;49:63-84. doi: 10.1016/j.bioactmat.2025.02.041. eCollection 2025 Jul.
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Single-Cell Sequencing: Genomic and Transcriptomic Approaches in Cancer Cell Biology.单细胞测序:癌细胞生物学中的基因组学和转录组学方法。
Int J Mol Sci. 2025 Feb 27;26(5):2074. doi: 10.3390/ijms26052074.
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A comprehensive pan-cancer examination of transcription factor MAFF: Oncogenic potential, prognostic relevance, and immune landscape dynamics.转录因子MAFF的全面泛癌研究:致癌潜力、预后相关性及免疫格局动态变化
Int Immunopharmacol. 2025 Mar 6;149:114105. doi: 10.1016/j.intimp.2025.114105. Epub 2025 Feb 8.
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Exp Mol Med. 2025 Feb;57(2):420-435. doi: 10.1038/s12276-025-01407-2. Epub 2025 Feb 5.
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Front Immunol. 2025 Jan 7;15:1522655. doi: 10.3389/fimmu.2024.1522655. eCollection 2024.