ENO1 as a Biomarker of Breast Cancer Progression and Metastasis: A Bioinformatic Approach Using Available Databases.

IF 1.8 Q3 ONCOLOGY
Breast Cancer : Basic and Clinical Research Pub Date : 2024-10-19 eCollection Date: 2024-01-01 DOI:10.1177/11782234241285648
Athina Giannoudis, Alistair Heath, Vijay Sharma
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引用次数: 0

Abstract

Background: Metabolic reprogramming is one of the hallmarks of cancer, and in breast cancer (BC), several metabolic enzymes are overexpressed and overactivated. One of these, Enolase 1 (ENO1), catalyses glycolysis and is involved in the regulation of multiple signalling pathways.

Objectives: This study aimed to evaluate in silico the prognostic and predictive effects of ENO1 expression in BC.

Design: This is a bioinformatic in silico analysis.

Methods: Using available online platforms (Kaplan-Meier [KM] plotter, receiver operating characteristic curve [ROC] plotter, cBioPortal, Genotype-2-Outcome [G-2-O], MethSurv, and Tumour-Immune System Interaction Database [TISIDB]), we performed a bioinformatic in silico analysis to establish the prognostic and predictive effects related to ENO1 expression in BC. A network analysis was performed using the Oncomine platform, and signalling, epigenetic, and immune regulation pathways were explored.

Results: ENO1 was overexpressed in all the analysed Oncomine, epigenetic, and immune pathways in triple-negative, but not in hormone receptor-positive BCs. In human epidermal growth factor receptor 2 (HER2)-positive BCs, ENO1 expression showed a mixed profile. Analysis on disease progression and histological types showed ENO1 overexpression in ductal in situ and invasive carcinoma, in high-grade tumours followed by advanced or metastasis and was linked to worse survival. High ENO1 expression was also associated with relapse-free, distant metastasis-free and overall survival, irrespectively of treatment and was mainly related to basal subtype.

Conclusion: ENO1 overexpression recruits a range of signalling pathways during disease progression conferring a worse prognosis and can be potentially used as a biomarker of disease progression and therapeutic target, particularly in triple-negative and in ductal invasive carcinoma.

ENO1作为乳腺癌进展和转移的生物标记物:利用现有数据库的生物信息学方法。
背景:代谢重编程是癌症的标志之一,在乳腺癌(BC)中,有几种代谢酶过度表达和过度激活。其中的烯醇化酶1(ENO1)催化糖酵解,并参与多种信号通路的调控:本研究旨在对 BC 中 ENO1 表达的预后和预测作用进行硅学评估:设计:这是一项生物信息学硅学分析:利用现有的在线平台(Kaplan-Meier [KM] plotter、接收者操作特征曲线[ROC] plotter、cBioPortal、Genotype-2-Outcome [G-2-O]、MethSurv和肿瘤-免疫系统相互作用数据库[TISIDB]),我们进行了生物信息学硅学分析,以确定与ENO1在BC中的表达有关的预后和预测作用。我们使用 Oncomine 平台进行了网络分析,探索了信号、表观遗传和免疫调节通路:结果:在所有分析的Oncomine、表观遗传和免疫通路中,ENO1在三阴性而非激素受体阳性的BC中都存在过表达。在人表皮生长因子受体2(HER2)阳性的碱性细胞癌中,ENO1的表达呈现混合型。对疾病进展和组织学类型的分析表明,ENO1在导管原位癌和浸润癌、高级别肿瘤以及晚期或转移癌中过度表达,并与生存率降低有关。ENO1的高表达还与无复发、无远处转移和总生存有关,与治疗无关,主要与基底亚型有关:结论:ENO1的过度表达在疾病进展过程中招募了一系列信号通路,导致预后恶化,有可能被用作疾病进展的生物标记物和治疗靶点,尤其是在三阴性和导管浸润癌中。
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来源期刊
CiteScore
5.10
自引率
3.40%
发文量
22
审稿时长
8 weeks
期刊介绍: Breast Cancer: Basic and Clinical Research is an international, open access, peer-reviewed, journal which considers manuscripts on all areas of breast cancer research and treatment. We welcome original research, short notes, case studies and review articles related to breast cancer-related research. Specific areas of interest include, but are not limited to, breast cancer sub types, pathobiology, metastasis, genetics and epigenetics, mammary gland biology, breast cancer models, prevention, detection, therapy and clinical interventions, and epidemiology and population genetics.
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