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乳腺癌细胞中脂多糖(LPS)表达缺失。

Absence of lipopolysccharide (LPS) expression in breast cancer cells.

作者信息

de Miranda Noel F C C, Smit Vincent T H B M, van der Ploeg Manon, Wesseling Jelle, Neefjes Jacques

机构信息

Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands.

Department of Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek, Amsterdam, The Netherlands.

出版信息

Cell Oncol (Dordr). 2025 Jun 11. doi: 10.1007/s13402-025-01071-8.

DOI:10.1007/s13402-025-01071-8
PMID:40498283
Abstract

The relationship between bacterial activity and tumorigenesis has gained attention in recent years, complementing the well-established association between viruses and cancer. A recent study employed immunodetection of lipopolysaccharide (LPS) to demonstrate the presence of intracellular bacteria within cancer cells across various cancer types, including breast cancer. The authors proposed that these bacteria might play a role in tumor development. We sought to replicate these findings using the same experimental methods on an independent cohort of breast cancer cases. Our analysis of 129 samples revealed no evidence of LPS expression within cancer cells. Instead, LPS immunoreactivity was observed in ducts or immune cells, specifically macrophages, as expected. These discrepancies in LPS immunodetection warrant caution in interpreting the original findings, and further research is needed to clarify the potential role of intracellular bacteria in cancer development.

摘要

近年来,细菌活性与肿瘤发生之间的关系受到了关注,这补充了病毒与癌症之间已确立的关联。最近一项研究采用脂多糖(LPS)免疫检测法,以证明在包括乳腺癌在内的各种癌症类型的癌细胞内存在细胞内细菌。作者提出,这些细菌可能在肿瘤发展中起作用。我们试图在一个独立的乳腺癌病例队列中使用相同的实验方法来重复这些发现。我们对129个样本的分析显示,癌细胞内没有LPS表达的证据。相反,正如预期的那样,在导管或免疫细胞,特别是巨噬细胞中观察到了LPS免疫反应性。LPS免疫检测中的这些差异值得在解释原始发现时谨慎对待,需要进一步研究以阐明细胞内细菌在癌症发展中的潜在作用。

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Nature. 2024 Jul;631(8021):694. doi: 10.1038/s41586-024-07656-x.
2
Major data analysis errors invalidate cancer microbiome findings.主要数据分析错误使癌症微生物组研究结果无效。
mBio. 2023 Oct 31;14(5):e0160723. doi: 10.1128/mbio.01607-23. Epub 2023 Oct 9.
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Caution regarding the specificities of pan-cancer microbial structure.警惕泛癌微生物结构的特异性。
Microb Genom. 2023 Aug;9(8). doi: 10.1099/mgen.0.001088.
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Pan-cancer analyses reveal cancer-type-specific fungal ecologies and bacteriome interactions.泛癌分析揭示了癌症类型特异性真菌生态和细菌群落相互作用。
Cell. 2022 Sep 29;185(20):3789-3806.e17. doi: 10.1016/j.cell.2022.09.005.
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The human "contaminome": bacterial, viral, and computational contamination in whole genome sequences from 1000 families.人类“污染组”:1000 个家庭的全基因组序列中的细菌、病毒和计算污染。
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