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MUC14-Related ncRNA-mRNA Network in Breast Cancer.
Wang, Shuqian; Jin, Jing; Chen, Jing; Lou, Weiyang.
Afiliação
  • Wang S; Department of Breast Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China.
  • Jin J; Department of Neurosurgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China.
  • Chen J; Department of Oncology, The First Affiliated Hospital of Jiaxing University, Jiaxing 314000, China.
  • Lou W; Department of Breast Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China.
Genes (Basel) ; 12(11)2021 10 23.
Article em En | MEDLINE | ID: mdl-34828282
Abstract: Background Growing evidences have showed that mucins (MUCs) are linked to occurrence and progression of human cancers. However, a comprehensive study regarding the expression, diagnosis, prognosis and mechanism of MUCs in breast cancer remains absent. Methods: A series of in silico analyses were employed in this study. Results: After performing comprehensive analysis for MUCs, MUC14 was identified as the most potential regulator in breast cancer, with downregulated expression in both mRNA and protein levels and significant diagnostic and prognostic values in breast cancer. Mechanistic exploration revealed that a potential ncRNA-mRNA axis, involving LINC01128/LINC01140/SGMS1-AS1/LINC00667-miR-137/miR-429-BCL2, might be partially responsible for MUC14's functions in breast cancer. Conclusions: Collectively, our study elucidated a key role of MUC14 in breast cancer and also provided some clues for explanation of the molecular action mechanism of MUC14 in breast cancer.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sialoglicoproteínas / Neoplasias da Mama / Regulação para Baixo / Biologia Computacional Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: Genes (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sialoglicoproteínas / Neoplasias da Mama / Regulação para Baixo / Biologia Computacional Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: Genes (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China