Literature DB >> 33650093

Bioinformatics Analysis Identifies IL6ST as a Potential Tumor Suppressor Gene for Triple-Negative Breast Cancer.

Rong Jia1, Yujie Weng1, Zhongxian Li1, Wei Liang1, Yucheng Ji1, Ying Liang1, Pengfei Ning2.   

Abstract

Improved insight into the molecular mechanisms of triple-negative breast cancer (TNBC) is required to predict prognosis and develop a new therapeutic strategy for targeted genes. The aim of this study was to identify genes significantly associated with TNBC and further analyze their prognostic significance. The Cancer Genome Atlas (TCGA) TNBC database and gene expression profiles of GSE76275 from Gene Expression Omnibus (GEO) were used to explore differentially co-expressed genes in TNBC compared with those in normal tissues and non-TNBC breast cancer tissues. Differential gene expression and weighted gene co-expression network analyses identified 24 differentially co-expressed genes. Functional annotation suggested that these genes were primarily enriched in processes such as metabolism, membrane, and protein binding. The protein-protein interaction (PPI) network further identified ten hub genes, five of which (MAPT, CBS, SOX11, IL6ST, and MEX3A) were confirmed to be differentially expressed in an independent dataset (GSE38959). Moreover, CBS and MEX3A expression was upregulated, whereas IL6ST expression was downregulated in TNBC tissues compared to that in other breast cancer subtypes. Furthermore, lower expression of IL6ST was associated with worse overall survival in patients with TNBC. Thus, IL6ST might play an important role in TNBC progression and could serve as a tumor suppressor gene for diagnosis and treatment.
© 2021. Society for Reproductive Investigation.

Entities:  

Keywords:  Differential gene expression analysis; Functional annotation analysis; Protein-protein interaction network; Triple-negative breast cancer; Tumor suppressor gene; Weighted gene co-expression network analysis

Mesh:

Substances:

Year:  2021        PMID: 33650093     DOI: 10.1007/s43032-021-00509-2

Source DB:  PubMed          Journal:  Reprod Sci        ISSN: 1933-7191            Impact factor:   3.060


  4 in total

1.  Screening potential immune signatures for early-stage basal-like/triple-negative breast cancer.

Authors:  Min Wu; Keyu Yuan; Shuzhen Lyu; Yanping Li
Journal:  World J Surg Oncol       Date:  2022-06-24       Impact factor: 3.253

2.  Verification and Validation of a Four-Gene Panel as a Prognostic Indicator in Triple Negative Breast Cancer.

Authors:  Mamta Pariyar; Rick F Thorne; Rodney J Scott; Kelly A Avery-Kiejda
Journal:  Front Oncol       Date:  2022-03-21       Impact factor: 6.244

3.  Integrated bioinformatic analysis of potential biomarkers of poor prognosis in triple-negative breast cancer.

Authors:  Rassanee Bissanum; Rawikant Kamolphiwong; Raphatphorn Navakanitworakul; Kanyanatt Kanokwiroon
Journal:  Transl Cancer Res       Date:  2022-09       Impact factor: 0.496

Review 4.  Oncogenic Potential of the Dual-Function Protein MEX3A.

Authors:  Marcell Lederer; Simon Müller; Markus Glaß; Nadine Bley; Christian Ihling; Andrea Sinz; Stefan Hüttelmaier
Journal:  Biology (Basel)       Date:  2021-05-07
  4 in total

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