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乳腺癌中调控M2巨噬细胞侵袭和迁移的基因表达预测模型：临床预后及治疗意义

Predictive model of gene expression regulating invasion and migration of M2 macrophages in breast cancer: clinical prognosis and therapeutic implications.

作者信息

Jiang Chengjie, Luo Jinlei, Jiang Xiaoxue, Lv Yujie, Dou Jianwei

机构信息

Key Laboratory of Traditional Chinese Herbs and Prescription Innovation and Transformation of Gansu Province, Laboratory for TCM New Products Development Engineering of Gansu Province, Lanzhou, China.

School of Chinese Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, China.

出版信息

Transl Cancer Res. 2024 Aug 31;13(8):4187-4204. doi: 10.21037/tcr-24-29. Epub 2024 Aug 21.

DOI:10.21037/tcr-24-29
PMID:39262492
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11384920/
Abstract

BACKGROUND

Breast cancer (BRCA) has surpassed lung cancer to become the malignant tumor with the highest incidence in female population. It occurs in malignant cells in breast tissue and is common worldwide. An increasing body of research indicates that M2 macrophages are critical to the occurrence and progression of BRCA. The aim of this work is to build a predictive model of genes related to invasion and migration of M2 macrophages, forecast the prognosis of patients with BRCA, and then evaluate the efficacy of some targeted treatments.

METHODS

The Gene Expression Omnibus (GEO; https://www.ncbi.nlm.nih.gov/geo/) database supplied the GSE20685 dataset, whereas the expression profile a clinical details of BRCA patients were obtained from The Cancer Genome Atlas (TCGA; https://portal.gdc.cancer.gov/) database. The genes linked to M2 macrophages and the differentially elevated genes of invasion and migration were found in GSE20685. To explore the prognosis-related invasion and migration M2 macrophage genes, the TCGA-BRCA dataset was merged with Cox regression and least absolute shrinkage and selection operator (LASSO) regression. GSE58812 was utilized for external validation. After calculating each patient's risk score, the prognostic model was examined by analyses of immune infiltration, medication sensitivity, mutation, and enrichment of the risk score.

RESULTS

The risk score had a strong correlation with both several immune cells and popular anti-tumor medications. Additionally, it was discovered that the risk score was a separate prognostic factor for BRCA.

CONCLUSIONS

Based on invasion and migration-related M2 macrophage genes, we investigated and validated predictive characteristics in our study that may offer helpful insights into the progression and prognosis of BRCA.

摘要

背景

乳腺癌已超过肺癌，成为女性群体中发病率最高的恶性肿瘤。它发生于乳腺组织的恶性细胞中，在全球范围内都很常见。越来越多的研究表明，M2巨噬细胞对乳腺癌的发生和发展至关重要。本研究的目的是构建一个与M2巨噬细胞侵袭和迁移相关的基因预测模型，预测乳腺癌患者的预后，进而评估一些靶向治疗的疗效。

方法

基因表达综合数据库（GEO；https://www.ncbi.nlm.nih.gov/geo/）提供了GSE20685数据集，而乳腺癌患者的表达谱和临床细节则从癌症基因组图谱（TCGA；https://portal.gdc.cancer.gov/）数据库中获取。在GSE20685中发现了与M2巨噬细胞相关的基因以及侵袭和迁移差异上调的基因。为了探索与预后相关的侵袭和迁移M2巨噬细胞基因，将TCGA-BRCA数据集与Cox回归和最小绝对收缩和选择算子（LASSO）回归相结合。利用GSE58812进行外部验证。计算每个患者的风险评分后，通过免疫浸润、药物敏感性、突变分析以及风险评分的富集来检验预后模型。

结果

风险评分与多种免疫细胞和常用抗肿瘤药物均有很强的相关性。此外，还发现风险评分是乳腺癌的一个独立预后因素。

结论

基于与侵袭和迁移相关的M2巨噬细胞基因，我们在研究中调查并验证了预测特征，这可能为乳腺癌的进展和预后提供有益的见解。

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本文引用的文献

1
Ponatinib: An update on its drug targets, therapeutic potential and safety.泊那替尼：药物靶点、治疗潜力和安全性的最新进展。
Biochim Biophys Acta Rev Cancer. 2023 Sep;1878(5):188949. doi: 10.1016/j.bbcan.2023.188949. Epub 2023 Jul 1.
2
Prognostic significance of tumor-associated macrophages polarization markers in lung cancer: a pooled analysis of 5105 patients.肿瘤相关巨噬细胞极化标志物在肺癌中的预后意义：5105 例患者的汇总分析。
Biosci Rep. 2023 Feb 27;43(2). doi: 10.1042/BSR20221659.
3
Current and emerging anti-angiogenic therapies in gastrointestinal and hepatobiliary cancers.
胃肠道和肝胆癌中当前及新兴的抗血管生成疗法
Front Oncol. 2022 Oct 10;12:1021772. doi: 10.3389/fonc.2022.1021772. eCollection 2022.
4
CCL19 has potential to be a potential prognostic biomarker and a modulator of tumor immune microenvironment (TIME) of breast cancer: a comprehensive analysis based on TCGA database.CCL19 有望成为乳腺癌的潜在预后生物标志物和肿瘤免疫微环境（TIME）调节剂：基于 TCGA 数据库的综合分析。
Aging (Albany NY). 2022 May 12;14(9):4158-4175. doi: 10.18632/aging.204081.
5
Identification of an Aging-Related Gene Signature in Predicting Prognosis and Indicating Tumor Immune Microenvironment in Breast Cancer.一种与衰老相关的基因特征在预测乳腺癌预后及指示肿瘤免疫微环境中的作用
Front Oncol. 2021 Dec 16;11:796555. doi: 10.3389/fonc.2021.796555. eCollection 2021.
6
CXCL9 Is a Potential Biomarker of Immune Infiltration Associated With Favorable Prognosis in ER-Negative Breast Cancer.CXCL9是雌激素受体阴性乳腺癌中与良好预后相关的免疫浸润的潜在生物标志物。
Front Oncol. 2021 Aug 30;11:710286. doi: 10.3389/fonc.2021.710286. eCollection 2021.
7
Impact of endoscopic submucosal dissection and epithelial cell sheet engraftment on systemic cytokine dynamics in patients with oesophageal cancer.内镜下黏膜下剥离术及上皮细胞片移植对食管癌患者全身细胞因子动态变化的影响。
Sci Rep. 2021 Jul 27;11(1):15282. doi: 10.1038/s41598-021-94871-5.
8
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EBioMedicine. 2021 Aug;70:103488. doi: 10.1016/j.ebiom.2021.103488. Epub 2021 Jul 16.
9
Early Detection and Dynamic Changes of Circulating Tumor Cells in Transgenic NeuN Transgenic (NTTg) Mice with Spontaneous Breast Tumor Development.在自发发生乳腺肿瘤的转基因NeuN转基因（NTTg）小鼠中循环肿瘤细胞的早期检测及动态变化
Cancers (Basel). 2021 Jun 30;13(13):3294. doi: 10.3390/cancers13133294.
10
Iodine Map Radiomics in Breast Cancer: Prediction of Metastatic Status.乳腺癌中的碘图放射组学：转移状态的预测
Cancers (Basel). 2021 May 18;13(10):2431. doi: 10.3390/cancers13102431.