ADAMTS5 Modulates Breast Cancer Development as a Diagnostic Biomarker and Potential Tumour Suppressor, Regulated by BAIAP2-AS1, CRNDE and hsa-miR-135b-3p: Integrated Systems Biology and Experimental Approach
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引用次数: 0
Abstract
ADAMTS5, a member of the ADAMTS family, exhibits crucial biological roles, including protein shedding, proteolysis, and cell migration. Its relevance in breast cancer (BC) was explored through an integrative approach combining high-throughput analyses, database validations, and experimental confirmation. ADAMTS5 expression was significantly reduced in BC samples, as verified by microarray analysis, qRT-PCR, and public database resources. A protein–protein interaction network revealed five proteins—COL10A1, COL11A1, COMP, MMP1 and SDC1—that interact with ADAMTS5 and are primarily associated with the ECM-receptor interaction pathway. These proteins also engage in cell cycle checkpoint signalling, emphasising their potential role in tumour progression. Survival analysis of BC samples identified a novel prognostic signature based on ADAMTS5-related proteins. The study extended to coding and noncoding RNA interactions, identifying lncRNAs as key regulators. CRNDE acts as a ceRNA for ADAMTS5, modulating its expression via hsa-miR-135b-3p. Meanwhile, BAIAP2-AS1 interacts directly with ADAMTS5, offering another layer of regulatory control and prognostic value. These findings position ADAMTS5 as a vital player in BC biology, with its low expression linked to critical pathways and survival outcomes. The identified lncRNA-mediated regulatory mechanisms add depth to understanding ADAMTS5's role and suggest potential targets for therapeutic development. This study underscores ADAMTS5's potential as a biomarker and its broader implications in unravelling BC molecular mechanisms.
期刊介绍:
IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells.
The scope includes the following topics:
Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.