Validating a Macrophage Marker Gene Signature (MMGS) in Lung Adenocarcinoma Prognosis and Response to Immunotherapy.

IF 3.2 4区 医学 Q3 IMMUNOLOGY
Peng Song, Dilinaer Wusiman, Wenbin Li, Lei Guo, Jianming Ying, Shugeng Gao, Jie He
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引用次数: 0

Abstract

Lung adenocarcinoma (LUAD) is the leading cause of cancer-related death worldwide. Tumor-associated macrophages play pivotal roles in the tumor microenvironment (TME) and prognosis of LUAD. We first used single-cell RNA sequencing data to identify macrophage marker genes in LUAD. Univariate, least absolute shrinkage and selection operator and stepwise multivariate Cox regression analyses were conducted to evaluate macrophage marker genes as prognostic factors and to construct the macrophage marker genes signature (MMGS). A novel 8-gene signature was constructed to predict prognosis based on 465 macrophage marker genes identified by an analysis of single-cell RNA sequencing data of LUAD, and was also verified in 4 independent GEO cohorts. The MMGS significantly classified patients into high-risk and low-risk groups in terms of OS. A prognostic nomogram based on independent risk factors was established to predict the 2-, 3- and 5-year survival, which indicated superior accuracy in predicting prognosis. The high-risk group was correlated to higher tumor mutational burden, number of neoantigens, T-cell receptor richness, and lower TIDE, which suggested that high-risk patients were more likely to benefit from immunotherapy. The prediction of the possibility of immunotherapy efficacy was also discussed. Analysis of an immunotherapy cohort further verified that patients with high-risk scores had better immunotherapy responses than low-risk patients. The MMGS is a promising signature for predicting prognosis and effectiveness of immunotherapy in patients with LUAD, and may be helpful for clinical decision-making.

巨噬细胞标记基因标记(MMGS)在肺腺癌预后和免疫治疗反应中的作用。
肺腺癌(LUAD)是全球癌症相关死亡的主要原因。肿瘤相关巨噬细胞在LUAD的肿瘤微环境(tumor microenvironment, TME)和预后中起关键作用。我们首先使用单细胞RNA测序数据来鉴定LUAD中的巨噬细胞标记基因。通过单因素、最小绝对收缩和选择算子以及逐步多因素Cox回归分析来评估巨噬细胞标记基因作为预后因素的作用,并构建巨噬细胞标记基因特征(MMGS)。通过对LUAD单细胞RNA测序数据的分析,鉴定出465个巨噬细胞标记基因,构建了一个新的8基因标记来预测预后,并在4个独立的GEO队列中得到验证。MMGS根据OS将患者分为高危组和低危组。建立基于独立危险因素的预后nomogram预测2、3、5年生存期,预测预后具有较高的准确性。高危组与较高的肿瘤突变负担、新抗原数量、t细胞受体丰富度和较低的TIDE相关,提示高危患者更有可能从免疫治疗中获益。并对免疫治疗疗效的可能性进行了预测。免疫治疗队列分析进一步证实,评分高的患者比低风险患者有更好的免疫治疗反应。MMGS是预测LUAD患者的预后和免疫治疗效果的一个有希望的标志,可能有助于临床决策。
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来源期刊
Journal of Immunotherapy
Journal of Immunotherapy 医学-免疫学
CiteScore
6.90
自引率
0.00%
发文量
79
审稿时长
6-12 weeks
期刊介绍: Journal of Immunotherapy features rapid publication of articles on immunomodulators, lymphokines, antibodies, cells, and cell products in cancer biology and therapy. Laboratory and preclinical studies, as well as investigative clinical reports, are presented. The journal emphasizes basic mechanisms and methods for the rapid transfer of technology from the laboratory to the clinic. JIT contains full-length articles, review articles, and short communications.
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