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研究肿瘤浸润巨噬细胞对乳腺癌预后的影响，并鉴定用于诊断目的的相关基因。

Examining the influence of tumor-infiltrating macrophages on breast cancer outcomes and identifying relevant genes for diagnostic purposes.

作者信息

Zhang Xiaoyun, Peng Cheng, Xiong Xuesong, Lian Jianchun

机构信息

Department of Medical Laboratory, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huanghe West Road 1, Huaian, Jiangsu, China.

Department of Medical Laboratory, The Fifth People's Hospital of Huai'an, Huaian, Jiangsu, China.

出版信息

Discov Oncol. 2024 Sep 27;15(1):502. doi: 10.1007/s12672-024-01397-z.

DOI:10.1007/s12672-024-01397-z
PMID:39331271
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11436547/
Abstract

OBJECTIVE

The purpose of this research was to investigate how different types of immune cells impact the outlook of individuals with breast cancer, as well as identify the essential genes associated with immune cell subtype enrichment.

METHODS

The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database were used to obtain global transcriptome sequencing data sets of breast tissue. The study utilized the CIBERSORT algorithm to determine the presence of 22 different types of immune cells in both breast cancer tissue and normal breast tissue.Immune cell infiltration content was utilized to conduct univariate COX analysis in order to identify risk factors linked to breast cancer prognosis.

RESULTS

Univariate COX analysis indicates that Macrophages M1 and B cells naive are beneficial factors for the outlook of individuals with breast cancer (P < 0.05), while Macrophages M2 and Monocytes are detrimental factors for the prognosis of breast cancer patients (P < 0.05). The high infiltration group of macrophage M2 had a poorer prognosis compared to the low infiltration group (P < 0.001); Conversely, the high infiltration group of macrophage M1 had a better prognosis than the low infiltration group (P = 0.002).

CONCLUSION

The study provided an overview of immune cell infiltration in breast cancer tissues, identifying macrophage M1 and macrophage M2 as potential factors in breast cancer development and progression. Additionally, genes associated with macrophage phenotype were analyzed, offering insights into macrophage polarization mechanisms.

摘要

目的

本研究旨在探讨不同类型的免疫细胞如何影响乳腺癌患者的预后，并确定与免疫细胞亚型富集相关的关键基因。

方法

利用癌症基因组图谱（TCGA）数据库和基因表达综合数据库（GEO）获取乳腺组织的全转录组测序数据集。本研究采用CIBERSORT算法来确定乳腺癌组织和正常乳腺组织中22种不同类型免疫细胞的存在情况。利用免疫细胞浸润含量进行单因素COX分析，以确定与乳腺癌预后相关的危险因素。

结果

单因素COX分析表明，M1型巨噬细胞和幼稚B细胞是乳腺癌患者预后的有利因素（P < 0.05），而M2型巨噬细胞和单核细胞是乳腺癌患者预后的不利因素（P < 0.05）。M2型巨噬细胞高浸润组的预后比低浸润组差（P < 0.001）；相反，M1型巨噬细胞高浸润组的预后比低浸润组好（P = 0.002）。

结论

本研究概述了乳腺癌组织中的免疫细胞浸润情况，确定M1型巨噬细胞和M2型巨噬细胞是乳腺癌发生发展的潜在因素。此外，还分析了与巨噬细胞表型相关的基因，为巨噬细胞极化机制提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ab3/11436547/faa7a39a4b49/12672_2024_1397_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ab3/11436547/d5cbc773f857/12672_2024_1397_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ab3/11436547/faa7a39a4b49/12672_2024_1397_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ab3/11436547/d5cbc773f857/12672_2024_1397_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ab3/11436547/53723f1a767d/12672_2024_1397_Fig5_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ab3/11436547/faa7a39a4b49/12672_2024_1397_Fig7_HTML.jpg

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Sci Rep. 2024 Apr 8;14(1):8201. doi: 10.1038/s41598-024-58982-z.
2
StackER: a novel SMILES-based stacked approach for the accelerated and efficient discovery of ERα and ERβ antagonists.StackER：一种基于 SMILES 的新型堆叠方法，用于加速和高效发现 ERα 和 ERβ 拮抗剂。
Sci Rep. 2023 Dec 27;13(1):22994. doi: 10.1038/s41598-023-50393-w.
3
Effective targeting of breast cancer by the inhibition of P-glycoprotein mediated removal of toxic lipid peroxidation byproducts from drug tolerant persister cells.
通过抑制 P-糖蛋白，从耐药细胞中清除有毒的脂质过氧化终产物，从而有效靶向治疗乳腺癌。
Drug Resist Updat. 2023 Nov;71:101007. doi: 10.1016/j.drup.2023.101007. Epub 2023 Sep 17.
4
Advances in immunotherapy for triple-negative breast cancer.三阴性乳腺癌的免疫治疗进展。
Mol Cancer. 2023 Sep 2;22(1):145. doi: 10.1186/s12943-023-01850-7.
5
Targeting breast cancer stem cells directly to treat refractory breast cancer.直接靶向乳腺癌干细胞以治疗难治性乳腺癌。
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6
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Front Genet. 2023 Mar 23;14:1093163. doi: 10.3389/fgene.2023.1093163. eCollection 2023.
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Intermittent F-actin Perturbations by Magnetic Fields Inhibit Breast Cancer Metastasis.磁场引起的间歇性F-肌动蛋白扰动抑制乳腺癌转移。
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Cancer Sci. 2023 Jun;114(6):2220-2229. doi: 10.1111/cas.15751. Epub 2023 Mar 5.
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Surg Clin North Am. 2023 Feb;103(1):xiii-xiv. doi: 10.1016/j.suc.2022.10.001.