Clinical significance and immunogenomic landscape analyses of the immune cell signature based prognostic model for patients with breast cancer

肿瘤科 医学 列线图 乳腺癌 内科学 免疫疗法 队列 恶性肿瘤 免疫系统 癌症 生物标志物 肿瘤微环境 免疫学 生物 生物化学
作者
Shiyuan Wang,Yuqiang Xiong,Qi Zhang,Dongqing Su,Chunlu Yu,Yiyin Cao,Yi Pan,Qianzi Lu,Yongchun Zuo,Lei Yang
出处
期刊:Briefings in Bioinformatics [Oxford University Press]
卷期号:22 (4) 被引量:85
标识
DOI:10.1093/bib/bbaa311
摘要

Breast cancer is one of the most common types of cancers and the leading cause of death from malignancy among women worldwide. Tumor-infiltrating lymphocytes are a source of important prognostic biomarkers for breast cancer patients. In this study, based on the tumor-infiltrating lymphocytes in the tumor immune microenvironment, a risk score prognostic model was developed in the training cohort for risk stratification and prognosis prediction in breast cancer patients. The prognostic value of this risk score prognostic model was also verified in the two testing cohorts and the TCGA pan cancer cohort. Nomograms were also established in the training and testing cohorts to validate the clinical use of this model. Relationships between the risk score, intrinsic molecular subtypes, immune checkpoints, tumor-infiltrating immune cell abundances and the response to chemotherapy and immunotherapy were also evaluated. Based on these results, we can conclude that this risk score model could serve as a robust prognostic biomarker, provide therapeutic benefits for the development of novel chemotherapy and immunotherapy, and may be helpful for clinical decision making in breast cancer patients.
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