Literature DB >> 32141494

Immune cell infiltration-based signature for prognosis and immunogenomic analysis in breast cancer.

Shiyuan Wang, Qi Zhang, Chunlu Yu, Yiyin Cao, Yongchun Zuo, Lei Yang.   

Abstract

Breast cancer is one of the most human malignant diseases and the leading cause of cancer-related death in the world. However, the prognostic and therapeutic benefits of breast cancer patients cannot be predicted accurately by the current stratifying system. In this study, an immune-related prognostic score was established in 22 breast cancer cohorts with a total of 6415 samples. An extensive immunogenomic analysis was conducted to explore the relationships between immune score, prognostic significance, infiltrating immune cells, cancer genotypes and potential immune escape mechanisms. Our analysis revealed that this immune score was a promising biomarker for estimating overall survival in breast cancer. This immune score was associated with important immunophenotypic factors, such as immune escape and mutation load. Further analysis revealed that patients with high immune scores exhibited therapeutic benefits from chemotherapy and immunotherapy. Based on these results, we can conclude that this immune score may be a useful tool for overall survival prediction and treatment guidance for patients with breast cancer.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  breast cancer; immunotherapy; meta-analysis; overall survival

Year:  2021        PMID: 32141494     DOI: 10.1093/bib/bbaa026

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  40 in total

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4.  Prognostic Impact of Cytotoxic CD4 T Cells in Tumor Immune Microenvironment of Patients with Breast Cancer.

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Journal:  J Immunother Precis Oncol       Date:  2021-10-26

5.  Construction of a circRNA-Related ceRNA Prognostic Regulatory Network in Breast Cancer.

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6.  Immune Cell Infiltration-Based Characterization of Triple-Negative Breast Cancer Predicts Prognosis and Chemotherapy Response Markers.

Authors:  Yufei Lv; Dongxu Lv; Xiaohong Lv; Ping Xing; Jianguo Zhang; Yafang Zhang
Journal:  Front Genet       Date:  2021-03-19       Impact factor: 4.599

7.  Identification of immune microenvironment subtypes that predicted the prognosis of patients with ovarian cancer.

Authors:  Xinjing Wang; Xiaoduan Li; Xipeng Wang
Journal:  J Cell Mol Med       Date:  2021-03-06       Impact factor: 5.310

8.  PLCG2 as a potential indicator of tumor microenvironment remodeling in soft tissue sarcoma.

Authors:  Zhengtian Li; Rong Zhao; Wenkang Yang; Chan Li; Jun Huang; Zhenpei Wen; Gang Du; Lingling Jiang
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9.  Identification of differentially expressed genes-related prognostic risk model for survival prediction in breast carcinoma patients.

Authors:  Jinyu Li; Gena Huang; Caixia Ren; Ning Wang; Silei Sui; Zuowei Zhao; Man Li
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10.  Identification and Validation of a Novel Immune-Related lncRNA Signature for Bladder Cancer.

Authors:  Shan Hua; Zhiwen Xie; Wenhao Wang; Zhong Wan; Min Chen; Sheng Zhao; Juntao Jiang
Journal:  Front Oncol       Date:  2021-07-12       Impact factor: 6.244

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