The Roles of microRNAs in Multidrug-Resistance Mechanisms in Gastric Cancer.

Multidrug resistance (MDR) is one of the most significant reasons for the chemotherapeutics failure in gastric cancer. Although accumulating investigations and researches have been made to elucidate the mechanisms of multidrug resistance, the detail is far from completely understood. The importance of microRNAs in cancer chemotherapeutic resistance has been demonstrated recently, which provides a new strategy to overcome multidrug resistance. The different mechanisms are related to the phenomena of MDR itself and the roles of miRNAs in these multi-mechanisms by which MDR is acquired. In turn, the aim of this review was to summarize recent publications of microRNAs in regulating MDR in gastric cancer, thereby potentially developing as targeted therapies. Further unraveling the roles of microRNAs in MDR mechanisms including the ATP-binding cassette (ABC) transporter family, autophagy induction, cancer stem cell regulation, hypoxia induction, DNA damage and repair, epigenetic regulation, and exosomes in gastric cancer will be helpful for us to win the battle against it.

COL4A family: potential prognostic biomarkers and therapeutic targets for gastric cancer.

BACKGROUND: The type IV collagen alpha chain (COL4A) family is a major component of the basement membrane (BM) that has recently been found to be involved in tumor angiogenesis and progression. However, the expression levels and the exact roles of distinct COL4A family members in gastric cancer (GC) have not been completely understood. METHODS: Here, the expression levels of COL4As in GC and normal gastric tissues were calculated by using TCGA datasets and the predicted prognostic values by the GEPIA tool. Furthermore, the cBioPortal and Metascape tools were integrated to analyze the genetic alterations, correlations and potential functions of COL4As, and their frequently altered neighboring genes in GC. RESULTS: Notably, the expression levels of COL4A1/2/4 in GC were higher to those in normal gastric tissues, while the expression levels of COL4A3/5/6 were lower in GC than normal. Survival analysis revealed that lower expression levels of COL4A1/5 led to higher overall survival (OS) rate. Multivariate analysis using the Cox proportional-hazards model indicated that age, gender, pathological grade, metastasis and COL4A5 expression, are independent prognostic factors for OS. However, TNM stage, lymph node metastasis, Lauren's classification, COL4A1-4 and COL4A6 were associated with poor OS but not independent prognostic factors. Function-enriched analysis of COL4As and their frequently altered neighboring genes was involved in tumor proliferation and metastasis in GC. CONCLUSIONS: These results implied that COL4A1/2 were potential therapeutic targets for GC. COL4A3/4/6 might have an impact on gastric carcinogenesis and subsequent progression, whereas COL4A5 was an independent prognostic marker for GC.

Serum miR-551b-3p is a potential diagnostic biomarker for gastric cancer.

BACKGROUND/AIMS: Gastric cancer (GC) is one of the most common gastrointestinal malignancies. Many studies have demonstrated that serum microRNAs have potential applications as non-invasive biomarkers for cancer diagnosis. The aim of the present study was to investigate the expression of serum miR-551b-3p in patients with GC and to explore its potential as a diagnostic biomarker in GC. MATERIALS AND METHODS: The expression of miR-551b-3p was detected using quantitative reverse transcription polymerase chain reaction in preoperative serum samples of 50 patients with GC and 53 healthy individuals. An analysis was performed to determine the correlation between serum miR-551b-3p levels and clinicopathological characteristics of patients with GC. The receiver operating characteristic curve was generated, and the cut-off point of serum miR-551b-3p for the diagnosis of GC was selected. The clinical value of serum miR-551b-3p for GC was analyzed by a consistency test. RESULTS: The expression of serum miR-551b-3p was significantly lower in patients with GC than in healthy individuals (p=0.000). Low level was positively associated with tumor size (p=0.014), depth of invasion (p=0.001), and Tumor-Node-Metastasis stage (p=0.022). The area under the curve for serum miR-551b-3p distinguishing patients with GC from healthy individuals was 0.860 (95% CI: 0.787-0.933, p=0.000), with a specificity of 96.2% and a sensitivity of 70%. The kappa consistency test had a kappa value of 0.667 (p=0.000) in GC. CONCLUSION: Serum miR-551b-3p may potentially serve as a diagnostic biomarker for GC.