Yong Xi

Gut Microbiome Dysbiosis in Patients with Endometrial Cancer vs. Healthy Controls Based on 16S rRNA Gene Sequencing

AbstractMetabolic diseases like obesity, diabetes, and hypertension are considered major risk factors associated with endometrial cancer. Considering that an imbalance in the gut microbiome may lead to metabolic alterations, we hypothesized that alteration in the gut microbioma might be an indirect factor in the development of endometrial cancer. Our aim was to profile the gut microbiota of patients with endometrial cancer compared with healthy controls in this study. Thus, we used 16S rRNA high-throughput gene sequencing on the Illumina NovaSeq platform to profile microbial communities. Fecal samples were collected from 33 endometrial cancer patients (EC group) and 32 healthy controls (N group) between February 2021 and July 2021. The total numbers of operational taxonomic units (OTUs) in the N and EC groups were 28,537 and 18,465, respectively, while the number of OTUs shared by the two groups was 4771. This study was the first to report that the alpha diversity of the gut microbiota was significantly reduced in endometrial cancer patients vs. healthy controls. Also, there was a significant difference in the distribution of microbiome between the two groups: the abundance of Firmicutes, Clostridia, Clostridiales, Ruminococcaceae, Faecalibacterium, and Gemmiger_formicis decreased, while that of Proteobacteria, Gammaproteobacteria, Enterobacteriales, Enterobacteriaceae and Shigella increased significantly in the EC group vs. healthy controls (all p < 0.05). The predominant intestinal microbiota of the endometrial cancer patients was Proteobacteria, Gammaproteobacteria, Enterobacteriales, Enterobacteriaceae, and Shigella. These results imply that adjusting the composition of the gut microbiota and maintaining microbiota homeostasis may be an effective strategy for preventing and treating endometrial cancer.

Overexpression of BMPER in Ovarian Cancer and the Mechanism by which It Promotes Malignant Biological Behavior in Tumor Cells

Background. BMPER has been reported to be associated with the biological behavior of a few malignant tumors, but the mechanism is still unclear. We aimed to detect BMPER expression in ovarian epithelial tumor tissues and its effects on their biological behaviors, as well as to elucidate the possible mechanism. Methods. BMPER expression in ovarian epithelial tumor tissues was detected by immunohistochemistry. BMPER expression in ovarian cancer cell lines was inhibited via RNA interference. Changes in the malignant behaviors of ovarian cancer cells were detected by MTT, wound healing, Transwell, and flow cytometry assays. Changes in proteins in the MAPK and autophagy‐related signaling pathways were detected by Western blot analysis. Results. The expression of BMPER was significantly upregulated in ovarian epithelial malignant tumors and was related to increased lymph node metastasis and lower survival rate. High BMPER expression is an independent risk factor for poor prognosis in patients. Inhibition of BMPER inhibited the proliferation, invasion, and migration of ovarian cancer cells and promoted apoptosis. In addition, BMPER downregulation decreased the expression of PCNA, Bcl‐2, MMP2, and MMP9 and increased the expression of Bax. Moreover, the levels of p‐ERK, p‐MEK, and the autophagy‐related protein p‐mTOR were decreased, and Beclin 1 levels and the LC3II/I ratio were increased. Conclusions. Our findings indicated that BMPER is closely related to poor prognosis in ovarian cancer. BMPER plays a role in promoting the malignant biological behavior of tumor cells through the MAPK and autophagy‐related signaling pathways.