Literature DB >> 33692831

Systemic Multi-Omics Analysis Reveals Amplified P4HA1 Gene Associated With Prognostic and Hypoxic Regulation in Breast Cancer.

Manikandan Murugesan1, Kumpati Premkumar1.   

Abstract

Breast cancer (BC) is a common malignant tumor in females around the world. While multimodality therapies exist, the mortality rate remains high. The hypoxic condition was one of the potent determinants in BC progression. The molecular mechanisms underpinning hypoxia and their association with BC can contribute to a better understanding of tailored therapies. In this study, two hypoxic induced BC transcriptomic cohorts (GSE27813 and GSE47533) were assessed from the GEO database. The P4HA1 gene was identified as a putative candidate and significantly regulated in hypoxic BC cells compared to normal BC cells at different time intervals (6 h, 9 h, 16 h, 32 h, and 48 h). In patients with Luminal (p < 1E-12), triple-negative subclasses (p = 1.35059E-10), Stage 1 (p = 8.8817E-16), lymph node N1 (p = 1.62436E-12), and in the 40-80 age group (p = 1.62447E-12), the expression of P4HA1 was closely associated with the clinical subtypes of BC. Furthermore, at the 10q22.1 chromosomal band, the P4HA1 gene displayed a high copy number elevation and was associated with a poor clinical regimen with overall survival, relapse-free survival, and distant metastases-free survival in BC patients. In addition, using BioGRID, the protein-protein interaction (PPI) network was built and the cellular metabolic processes, and hedgehog pathways are functionally enriched with GO and KEGG terms. This tentative result provides insight into the molecular function of the P4HA1 gene, which is likely to promote hypoxic-mediated carcinogenesis, which may favor early detection of BC and therapeutic stratification.
Copyright © 2021 Murugesan and Premkumar.

Entities:  

Keywords:  breast cancer; computational biology; hypoxia; omics; prognosis

Year:  2021        PMID: 33692831      PMCID: PMC7937963          DOI: 10.3389/fgene.2021.632626

Source DB:  PubMed          Journal:  Front Genet        ISSN: 1664-8021            Impact factor:   4.599


  2 in total

1.  Multi-Omics analysis identifies a lncRNA-related prognostic signature to predict bladder cancer recurrence.

Authors:  Zhipeng Xu; Hui Chen; Jin Sun; Weipu Mao; Shuqiu Chen; Ming Chen
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

2.  The Role of P4HA1 in Multiple Cancer Types and its Potential as a Target in Renal Cell Carcinoma.

Authors:  Yang Li; Yu-Zheng Ge; Yiguan Qian; Ke Chen; Feng Zhao; Zhiqiang Qin; Liuhua Zhou; Luwei Xu; Zheng Xu; Quanliang Dou; Ruipeng Jia
Journal:  Front Genet       Date:  2022-06-23       Impact factor: 4.772

  2 in total

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