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一种预测乳腺癌预后和免疫治疗反应的新型免疫评分模型。

A novel immune score model predicting the prognosis and immunotherapy response of breast cancer.

机构信息

Department of Plastic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China.

Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China.

出版信息

Sci Rep. 2023 Apr 19;13(1):6403. doi: 10.1038/s41598-023-31153-2.

DOI:10.1038/s41598-023-31153-2
PMID:37076508
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10115816/
Abstract

Breast cancer (BC) is one of the most common malignancies. However, the existing pathological grading system cannot accurately and effectively predict the survival rate and immune checkpoint treatment response of BC patients. In this study, based on The Cancer Genome Atlas (TCGA) database, a total of 7 immune-related genes (IRGs) were screened out to construct a prognostic model. Subsequently, the clinical prognosis, pathological characteristics, cancer-immunity cycle, tumour immune dysfunction and exclusion (TIDE) score, and immune checkpoint inhibitor (ICI) response were compared between the high- and low-risk groups. In addition, we determined the potential regulatory effect of NPR3 on BC cell proliferation, migration, and apoptosis. The model consisting of 7 IRGs was an independent prognostic factor. Patients with lower risk scores exhibited longer survival times. Moreover, the expression of NPR3 was increased but the expression of PD-1, PD-L1, and CTLA-4 was decreased in the high-risk group compared to the low-risk group. In addition, compared with si-NC, si-NPR3 suppressed proliferation and migration but promoted apoptosis in both MDA-MB-231 and MCF-7 cells. This study presents a model for predicting survival outcomes and provides a strategy to guide effective personalized immunotherapy in BC patients.

摘要

乳腺癌(BC)是最常见的恶性肿瘤之一。然而,现有的病理分级系统不能准确有效地预测 BC 患者的生存率和免疫检查点治疗反应。在这项研究中,基于癌症基因组图谱(TCGA)数据库,共筛选出 7 个免疫相关基因(IRGs),构建了一个预后模型。随后,比较了高低风险组之间的临床预后、病理特征、癌症免疫循环、肿瘤免疫功能障碍和排除(TIDE)评分以及免疫检查点抑制剂(ICI)反应。此外,我们确定了 NPR3 对 BC 细胞增殖、迁移和凋亡的潜在调节作用。由 7 个 IRGs 组成的模型是一个独立的预后因素。风险评分较低的患者生存时间更长。此外,与低风险组相比,高风险组中 NPR3 的表达增加,而 PD-1、PD-L1 和 CTLA-4 的表达减少。此外,与 si-NC 相比,si-NPR3 抑制了 MDA-MB-231 和 MCF-7 细胞的增殖和迁移,但促进了细胞凋亡。这项研究提出了一种预测生存结果的模型,并提供了一种指导 BC 患者有效个体化免疫治疗的策略。

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Immune-Related Genes for Predicting Future Kidney Graft Loss: A Study Based on GEO Database.基于 GEO 数据库的预测未来肾移植失败的免疫相关基因研究
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A Prognostic Model Using Immune-Related Genes for Colorectal Cancer.
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