Literature DB >> 34733726

Prognostic and tumor-immune infiltration cell signatures in tamoxifen-resistant breast cancers.

Zhenyu Cao1, Ziwei Jin1, Liyun Zeng1, Hongye He1, Qitong Chen1, Qiongyan Zou1, Dengjie Ouyang1, Na Luo1, Yulong Zhang2, Yunchang Yuan3, Wenjun Yi1.   

Abstract

BACKGROUND: The cumulative risk of distant recurrence of hormone receptor-positive (HR+) breast cancer in the past 20 years has ranged from 22% to 52% after 5 years of endo-therapy. The TNM stage, histological grade, and age are important clinical factors related to recurrence, however the exact mechanism of tamoxifen resistance is still unclear.
METHODS: Differentially expressed genes (DEGs) were identified in 10 pairs of patients who had relapsed and non-relapsed after tamoxifen treatment based on matching their clinicopathological factors. After analysis of the Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, 10 hub genes were identified using Cytoscape software. Next, real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) and the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) database were used to verify the expression and overall survival (OS) of the 10 hub genes respectively, and GSE96058 and Kaplan-Meier Plotter website were used to further verify the OS of C3, CX3CL1, CXCL2, and SAA1. Finally, Immune Cell Abundance Identifier (ImmuCellAI) and the TIMER database were used to estimate immune cell infiltration and the expression of prognostic genes.
RESULTS: The DEGs were mainly enriched in the inflammatory response and cytokine-receptor interaction. The expression and the survival analysis identified CX3CL1, CXCL2, and SAA1 as prognostic factors, whose overexpression in HR+/human epidermal growth factor receptor 2 (HER-2) negative breast cancer possibly predicted a longer disease-free survival. The expression levels of these 3 genes are positively correlated with immune cell infiltration. Their high expression levels may predict longer disease-free survival in breast cancer after tamoxifen treatment and may be biomarkers for tamoxifen-resistant therapy.
CONCLUSIONS: In conclusion, the high expression of CX3CL1, CXCL2, and SAA1 may predict longer disease-free survival in breast cancer after tamoxifen treatment and may be a biomarker for tamoxifen therapy. 2021 Gland Surgery. All rights reserved.

Entities:  

Keywords:  Tamoxifen; The Cancer Genome Atlas (TCGA); breast cancer; immune; resistance

Year:  2021        PMID: 34733726      PMCID: PMC8514308          DOI: 10.21037/gs-21-566

Source DB:  PubMed          Journal:  Gland Surg        ISSN: 2227-684X


  47 in total

1.  High expression of CX3CL1 by tumor cells correlates with a good prognosis and increased tumor-infiltrating CD8+ T cells, natural killer cells, and dendritic cells in breast carcinoma.

Authors:  Min Ho Park; Ji Shin Lee; Jung Han Yoon
Journal:  J Surg Oncol       Date:  2012-03-15       Impact factor: 3.454

2.  TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells.

Authors:  Taiwen Li; Jingyu Fan; Binbin Wang; Nicole Traugh; Qianming Chen; Jun S Liu; Bo Li; X Shirley Liu
Journal:  Cancer Res       Date:  2017-11-01       Impact factor: 12.701

Review 3.  Enhancing Endocrine Therapy for Hormone Receptor-Positive Advanced Breast Cancer: Cotargeting Signaling Pathways.

Authors:  Stephen R D Johnston
Journal:  J Natl Cancer Inst       Date:  2015-08-06       Impact factor: 13.506

4.  Mechanisms of tamoxifen resistance: increased estrogen receptor-HER2/neu cross-talk in ER/HER2-positive breast cancer.

Authors:  Jiang Shou; Suleiman Massarweh; C Kent Osborne; Alan E Wakeling; Simale Ali; Heidi Weiss; Rachel Schiff
Journal:  J Natl Cancer Inst       Date:  2004-06-16       Impact factor: 13.506

Review 5.  The effects of tamoxifen on immunity.

Authors:  S Behjati; M H Frank
Journal:  Curr Med Chem       Date:  2009       Impact factor: 4.530

6.  cytoHubba: identifying hub objects and sub-networks from complex interactome.

Authors:  Chia-Hao Chin; Shu-Hwa Chen; Hsin-Hung Wu; Chin-Wen Ho; Ming-Tat Ko; Chung-Yen Lin
Journal:  BMC Syst Biol       Date:  2014-12-08

7.  CX3CL1 involves in breast cancer metastasizing to the spine via the Src/FAK signaling pathway.

Authors:  Yun Liang; Lei Yi; Peng Liu; Libo Jiang; Houlei Wang; Annan Hu; Chi Sun; Jian Dong
Journal:  J Cancer       Date:  2018-09-08       Impact factor: 4.207

8.  STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets.

Authors:  Damian Szklarczyk; Annika L Gable; David Lyon; Alexander Junge; Stefan Wyder; Jaime Huerta-Cepas; Milan Simonovic; Nadezhda T Doncheva; John H Morris; Peer Bork; Lars J Jensen; Christian von Mering
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

9.  Activating ESR1 mutations in hormone-resistant metastatic breast cancer.

Authors:  Dan R Robinson; Yi-Mi Wu; Pankaj Vats; Fengyun Su; Robert J Lonigro; Xuhong Cao; Shanker Kalyana-Sundaram; Rui Wang; Yu Ning; Lynda Hodges; Amy Gursky; Javed Siddiqui; Scott A Tomlins; Sameek Roychowdhury; Kenneth J Pienta; Scott Y Kim; J Scott Roberts; James M Rae; Catherine H Van Poznak; Daniel F Hayes; Rashmi Chugh; Lakshmi P Kunju; Moshe Talpaz; Anne F Schott; Arul M Chinnaiyan
Journal:  Nat Genet       Date:  2013-11-03       Impact factor: 38.330

Review 10.  Updates on managing advanced breast cancer with palbociclib combination therapy.

Authors:  Teresa M McShane; Thomas A Wolfe; Joanne C Ryan
Journal:  Ther Adv Med Oncol       Date:  2018-09-03       Impact factor: 8.168

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  1 in total

1.  A Novel Five-Gene Signature Related to Clinical Outcome and Immune Microenvironment in Breast Cancer.

Authors:  Yi Yang; Hong-Li Liu; Yi-Jing Liu
Journal:  Front Genet       Date:  2022-05-13       Impact factor: 4.772

  1 in total

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