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Gene's co-expression network and experimental validation of molecular markers associated with the drug resistance of gastric cancer.
Qi, Wenqian; Zhang, Qian.
Affiliation
  • Qi W; Department of Gastroenterology China, Japan Union Hospital, Jilin University Changchun, Jilin Province 130033, China.
  • Zhang Q; Department of Gastroenterology China, Japan Union Hospital, Jilin University Changchun, Jilin Province 130033, China.
Biomark Med ; 14(9): 761-773, 2020 06.
Article in En | MEDLINE | ID: mdl-32715733
ABSTRACT

Aim:

Chemotherapy can significantly improve the overall survival rate of patients with gastric cancer; however, so far little is known about the molecular mechanism of resistance to chemotherapy. Therefore, this study was proposed to elucidate molecular markers of resistance to chemotherapeutic agent in gastric cancer. Materials &

methods:

Weighted gene co-expression network analyses were performed in gastric cancer cohort. The most relevant genes modules for gastric cancer resistance were selected. Gene oncology function enrichment of genes was conducted. The biological function of resistant genes were identified in vitro. Results &

conclusion:

Two resistant hub genes, SPTBN1 and LAMP1, were selected. Experiments showed that downregulation of SPTBN1and LAMP1 proteins significantly enhanced the sensitivity of human gastric cancer cells SGC7901 to 5-FU and cisplatin. Thus, our results provide a baseline about the potential factors of drug resistance in gastric cancer.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stomach Neoplasms / Biomarkers, Tumor / Drug Resistance, Neoplasm / Gene Regulatory Networks Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Biomark Med Journal subject: BIOQUIMICA / MEDICINA Year: 2020 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stomach Neoplasms / Biomarkers, Tumor / Drug Resistance, Neoplasm / Gene Regulatory Networks Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Biomark Med Journal subject: BIOQUIMICA / MEDICINA Year: 2020 Document type: Article Affiliation country: China