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Effects and prognostic values of miR-30c-5p target genes in gastric cancer via a comprehensive analysis using bioinformatics.
Hu, Shangshang; Liu, Huaifeng; Zhang, Jinyan; Li, Shujing; Zhou, Huadong; Gao, Yu.
Afiliação
  • Hu S; Research Center of Clinical Laboratory Science, School of Laboratory Medicine, Bengbu Medical College, Bengbu, 233030, Anhui, China.
  • Liu H; School of Life Science, Bengbu Medical College, Bengbu, 233030, Anhui, China.
  • Zhang J; School of Life Science, Bengbu Medical College, Bengbu, 233030, Anhui, China.
  • Li S; Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical College, Bengbu, 233030, Anhui, China.
  • Zhou H; School of Life Science, Bengbu Medical College, Bengbu, 233030, Anhui, China.
  • Gao Y; Department of Neurology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, 233000, Anhui, China.
Sci Rep ; 11(1): 20584, 2021 10 18.
Article em En | MEDLINE | ID: mdl-34663825
ABSTRACT
Gastric cancer (GC) is a common cancer and the leading cause of cancer-related death worldwide. To improve the diagnosis and treatment of GC, it is necessary to identify new biomarkers by investigating the cellular and molecular mechanisms. In this study, miR-30c-5p expression was significantly down-regulated in GC tissues by comprehensive analysis using multiple databases. The target genes of miR-30c-5p with up-regulated expression level in GC were identified, including ADAM12 (a disintegrin and metalloproteinase12), EDNRA (the Endothelin receptor type A), STC1 (stanniocalcin 1), and CPNE8 (the calcium-dependent protein, copine 8). The expression level of ADAM12 was significantly related to depth of invasion (p = 0.036) in GC patients. The expression level of EDNRA was significantly related to grade (P = 0.003), depth of invasion (P = 0.019), and lymphatic metastasis (P = 0.001). The expression level of CPNE8 was significantly related to grade (P = 0.043) and TNM stage (P = 0.027).Gene set enrichment analysis showed that they might participate in GC progression through cancer-related pathways. CIBERSORT algorithm analysis showed that their expressions were related to a variety of tumor-infiltrating immune cells. The higher expression of those target genes might be the independent risk factor for poor survival of GC patients, and they might be potential prognostic markers in GC patients.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China