Single-cell RNA sequencing and Mendelian randomization identify context-dependent LIPA-associated classical monocyte states in sepsis and breast cancer.

IF 3.3 3区 医学 Q2 ONCOLOGY
Wenjing Wang, Mengting Liu, Xiang Li
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Abstract

Background: Breast cancer remains one of the leading causes of cancer-related death in women, and sepsis is a major complication in cancer patients that worsens prognosis. Classical monocytes and the lysosomal acid lipase gene LIPA have been implicated in immune regulation, but their roles across these two disease contexts remain incompletely understood. Here, we used single-cell RNA sequencing and Mendelian randomization to investigate context-dependent LIPA-associated classical monocyte states in sepsis and breast cancer.

Methods: We analyzed single-cell RNA sequencing datasets from breast cancer and sepsis and integrated these analyses with Mendelian randomization. Differential expression analyses were performed to identify candidate genes associated with classical monocyte states, with particular focus on LIPA. An independent single-cell RNA sequencing dataset of peripheral blood mononuclear cells (PBMCs) from patients with breast cancer was further analyzed as supportive validation. Sensitivity analyses were performed to assess the robustness of the LIPA-based classification.

Results: Our analyses identified LIPA-associated classical monocyte states in sepsis and breast cancer, with distinct features across disease contexts. In breast cancer, higher LIPA expression in classical monocytes was associated with features consistent with an immunoregulatory state. Independent PBMC analysis identified circulating LIPA+ classical monocytes with a broadly comparable partition pattern, suggesting that this signal may extend beyond the tumor microenvironment. Mendelian randomization provided genetic support consistent with a potential association between LIPA and breast cancer risk. Sensitivity analyses confirmed that the main observations were not dependent on a single threshold definition.

Conclusion: Single-cell RNA sequencing and Mendelian randomization analyses support context-dependent associations between LIPA and classical monocyte states in sepsis and breast cancer. Independent PBMC analysis provides supportive evidence that the LIPA-associated signal may also be detectable in circulation. These findings should be interpreted as hypothesis-generating and provide a rationale for future paired-sample, mechanistic, and experimental studies to clarify the functional relevance of LIPA in immune regulation and breast cancer.

单细胞RNA测序和孟德尔随机化鉴定脓毒症和乳腺癌中上下文依赖的lipa相关的经典单核细胞状态。
背景:乳腺癌仍然是女性癌症相关死亡的主要原因之一,而脓毒症是癌症患者恶化预后的主要并发症。经典单核细胞和溶酶体酸性脂肪酶基因LIPA与免疫调节有关,但它们在这两种疾病背景下的作用仍不完全清楚。在这里,我们使用单细胞RNA测序和孟德尔随机化来研究脓毒症和乳腺癌中上下文依赖的lipa相关的经典单核细胞状态。方法:我们分析了乳腺癌和脓毒症的单细胞RNA测序数据集,并将这些分析与孟德尔随机化相结合。进行差异表达分析以确定与经典单核细胞状态相关的候选基因,特别关注LIPA。进一步分析来自乳腺癌患者外周血单个核细胞(PBMCs)的独立单细胞RNA测序数据集作为支持验证。进行敏感性分析以评估基于lipa的分类的稳健性。结果:我们的分析确定了脓毒症和乳腺癌中lipa相关的经典单核细胞状态,在不同的疾病背景下具有不同的特征。在乳腺癌中,经典单核细胞中较高的LIPA表达与免疫调节状态一致的特征相关。独立的PBMC分析发现循环LIPA+经典单核细胞具有广泛可比的分区模式,表明该信号可能延伸到肿瘤微环境之外。孟德尔随机化为LIPA与乳腺癌风险之间的潜在关联提供了遗传学支持。敏感性分析证实,主要观测结果不依赖于单一阈值定义。结论:单细胞RNA测序和孟德尔随机化分析支持脓毒症和乳腺癌中LIPA与经典单核细胞状态之间的上下文依赖性关联。独立的PBMC分析提供了支持性证据,表明在血液循环中也可以检测到lipa相关信号。这些发现应该被解释为假设的产生,并为未来的配对样本、机制和实验研究提供理论基础,以阐明LIPA在免疫调节和乳腺癌中的功能相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.80
自引率
2.60%
发文量
342
审稿时长
1 months
期刊介绍: Breast Cancer Research and Treatment provides the surgeon, radiotherapist, medical oncologist, endocrinologist, epidemiologist, immunologist or cell biologist investigating problems in breast cancer a single forum for communication. The journal creates a "market place" for breast cancer topics which cuts across all the usual lines of disciplines, providing a site for presenting pertinent investigations, and for discussing critical questions relevant to the entire field. It seeks to develop a new focus and new perspectives for all those concerned with breast cancer.
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