Literature DB >> 33948357

An immune-related signature that to improve prognosis prediction of breast cancer.

Yi Zhang1, Xuebing Di1, Guoji Chen2, Jiaqi Liu2, Bailin Zhang2, Lin Feng1, Shujun Cheng1, Yipeng Wang2.   

Abstract

Although the classic molecular subtype of breast cancer (BRCA) has been widely used in clinical diagnosis, as a highly heterogeneous malignant tumor, the classic scheme is not enough to accurately predict the prognosis of breast cancer patients. Immune cells in the tumor microenvironment (TME) are thought to play a paramount role in tumor development and driving poor prognosis. In this study, we aimed to develop a TME-associated, immune-related signature to improve prognosis prediction of BRCA. BRCA_OURS enriched transcriptomic RNA sequencing (RNA-seq) of tumor tissue was acquired from 43 breast cancer patients before any treatment. On the immune gene profiles of 43 patients from BRCA_OURS and 932 BRCA patients from The Cancer Genome Atlas (TCGA), we identified a robust immune-related signature including one positive coefficients gene (IL-10) and other 9 genes (C14orf79, C1orf168, C1orf226, CELSR2, FABP7, FGFBP1, KLRB1, PLEKHO1, and RAC2), of which the negative coefficients suggesting higher expression were correlated with better prognosis. Based on the expression of these genes, patients were grouped into the high- and low-risk group with significant overall survival (OS) (P<0.0001). The high-risk group was likely to have inferior outcomes related to several important cancer-associated pathways, including mobilizing more Golgi vesicle-mediated transport and intensive DNA double-strand breaking, which are closely related to the infiltration of immune cells and holds the key for further growing and metastasizing. Collectively, our results highlight that the immunological value within BRCA is an essential determinant of prognostic factor. Our signature may provide an effective risk stratification tool for clinical prognosis assessment of patients with BRCA. AJCR
Copyright © 2021.

Entities:  

Keywords:  Breast cancer; RNA-seq; immune-related signature; tumor microenvironment

Year:  2021        PMID: 33948357      PMCID: PMC8085862     

Source DB:  PubMed          Journal:  Am J Cancer Res        ISSN: 2156-6976            Impact factor:   6.166


  6 in total

1.  Exploiting induced vulnerability to overcome PARPi resistance and clonal heterogeneity in BRCA mutant triple-negative inflammatory breast cancer.

Authors:  David J H Shih; Mei-Kuang Chen; Jun Yin; Daniel J McGrail; Hui Dai; Rongbin Wei; Jing Zhang; Wenjin Jim Zheng; Kim-Anh Do; Liuqing Yang; Mien-Chie Hung; Shiaw-Yih Lin
Journal:  Am J Cancer Res       Date:  2022-01-15       Impact factor: 6.166

2.  Prognostic and Immune Implications of a Novel Pyroptosis-Related Five-Gene Signature in Breast Cancer.

Authors:  Yuanyuan Zheng; Kainan Wang; Ning Li; Qianran Zhang; Fengxi Chen; Man Li
Journal:  Front Surg       Date:  2022-05-17

3.  A novel 12-gene prognostic signature in breast cancer based on the tumor microenvironment.

Authors:  Jiujun Zhu; Yong Shen; Lina Wang; Jianghua Qiao; Yajie Zhao; Qiming Wang
Journal:  Ann Transl Med       Date:  2022-02

4.  Comprehensive analysis of pyroptotic gene prognostic signatures associated with tumor immune microenvironment and genomic mutation in breast cancer.

Authors:  Hongfei Zhang; Xiafei Yu; Junzhe Yang; Gao He; Xiaoqiang Zhang; Xian Wu; Li Shen; Yi Zhou; Xuyu Cheng; Xiaoan Liu; Yanhui Zhu
Journal:  Front Immunol       Date:  2022-08-25       Impact factor: 8.786

5.  The prognostic value of arachidonic acid metabolism in breast cancer by integrated bioinformatics.

Authors:  Wenge Li; Xiaoyu Guo; Changzheng Chen; Juanjuan Li
Journal:  Lipids Health Dis       Date:  2022-10-15       Impact factor: 4.315

6.  Immune-associated molecular occurrence and prognosis predictor of hepatocellular carcinoma: an integrated analysis of GEO datasets.

Authors:  Guanjun Liu; Dongmei Wu; Yiyang Wen; Shundong Cang
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

  6 in total

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