MicroRNA let-7c-5p Alleviates in Hepatocellular Carcinoma by Targeting Enhancer of Zeste Homolog 2: A Study Intersecting Bioinformatic Analysis and Validated Experiments.

Enhancer of zeste homolog 2 (EZH2)gene has a prognostic role in hepatocellular carcinoma (HCC). This study aimed to identify the role of microRNAs (miRNAs) let-7c-5p by targeting EZH2 in HCC. We downloaded gene and miRNA RNA-seq data from The Cancer Genome Atlas (TCGA) database. Differences in EZH2 expression between different groups were analyzed and the association of EZH2 expression with HCC prognosis was detected using Cox regression analysis. The miRNA-EZH2-pathway network was constructed. Dual-luciferase reporter assay was performed to detect the hsa-let-7c-5p-EZH2. Cell proliferation, migration, invasion, and apoptosis were detected by CCK-8, Wound healing, Transwell, and Flow cytometry, respectively. RT-qPCR and Western blot were used to detect the expression of let-7c-5p and EZH2. EZH2 was upregulated in HCC tumors (P < 0.0001). Cox regression analysis showed that TCGA HCC patients with high EZH2 expression levels showed a short survival time [hazard ratio (HR) = 1.677, 95% confidence interval (CI) 1.316-2.137; P < 0.0001]. Seven miRNAs were negatively correlated with EZH2 expression and were significantly downregulated in HCC tumor samples (P < 0.0001), in which hsa-let-7c-5p was associated with prognosis in HCC (HR = 0.849 95% CI 0.739-0.975; P = 0.021). We identified 14 immune cells that showed significant differences in EZH2 high- and low-expression groups. Additionally, let-7c-5p inhibited HCC cell proliferation, migration, and invasion and reversed the promoted effects of EZH2 on HCC cell malignant characteristics. hsa-let-7c-5p-EZH2 significantly suppressed HCC malignant characteristics, which can be used for HCC prognosis.

Global development of artificial intelligence in cancer field: a bibliometric analysis range from 1983 to 2022.

Background: Artificial intelligence (AI) is widely applied in cancer field nowadays. The aim of this study is to explore the hotspots and trends of AI in cancer research. Methods: The retrieval term includes four topic words ("tumor," "cancer," "carcinoma," and "artificial intelligence"), which were searched in the database of Web of Science from January 1983 to December 2022. Then, we documented and processed all data, including the country, continent, Journal Impact Factor, and so on using the bibliometric software. Results: A total of 6,920 papers were collected and analyzed. We presented the annual publications and citations, most productive countries/regions, most influential scholars, the collaborations of journals and institutions, and research focus and hotspots in AI-based cancer research. Conclusion: This study systematically summarizes the current research overview of AI in cancer research so as to lay the foundation for future research.

A genomic-clinicopathologic Nomogram for the preoperative prediction of lymph node metastasis in gastric cancer.

BACKGROUND: Preoperative evaluation of lymph node (LN) state is of pivotal significance for informing therapeutic decisions in gastric cancer (GC) patients. However, there are no non-invasive methods that can be used to preoperatively identify such status. We aimed at developing a genomic biosignature based model to predict the possibility of LN metastasis in GC patients. METHODS: We used the RNA profile retrieving strategy and performed RNA expression profiling in a large GC cohort (GSE62254, n = 300) from Gene Expression Ominus (GEO). In the exploratory stage, 300 GC patients from GSE62254 were involved and the differentially expressed RNAs (DERs) for LN-status were determined using the R software. GC samples in GSE62254 were randomly allocated into a learning set (n = 210) and a verification set (n = 90). By using the Least absolute shrinkage and selection operator (LASSO) regression approach, a set of 23-RNA signatures were established and the signature based nomogram was subsequently built for distinguishing LN condition. The diagnostic efficiency, as well as the clinical performance of this model were assessed using the decision curve analysis (DCA). Metascape was used for bioinformatic analysis of the DERs. RESULTS: Based on the genomic signature, we established a nomogram that robustly distinguished LN status in the learning (AUC = 0.916, 95% CI 0.833-0.999) and verification sets (AUC = 0.775, 95% CI 0.647-0.903). DCA demonstrated the clinical value of this nomogram. Functional enrichment analysis of the DERs was performed using bioinformatics methods which revealed that these DERs were involved in several lymphangiogenesis-correlated cascades. CONCLUSIONS: In this study, we present a genomic signature based nomogram that integrates the 23-RNA biosignature based scores and Lauren classification. This model can be utilized to estimate the probability of LN metastasis with good performance in GC. The functional analysis of the DERs reveals the prospective biogenesis of LN metastasis in GC.

Glasgow prognostic score is a predictive index for postoperative infectious complications after total proctocolectomy in ulcerative colitis patients.

BACKGROUND AND AIM: Glasgow prognostic score is a systemic inflammatory-based score. The aim of this study was to determine whether the Glasgow prognostic score was a useful predictor of short-term outcomes in patients who undergo total proctocolectomy for ulcerative colitis. METHODS: eighty ulcerative colitis patients who underwent a total proctocolectomy with ileal pouch-anal anastomosis or permanent end ileostomy from June 2014 to March 2020 were retrospectively analyzed. Patients were divided into a lower Glasgow prognostic score group and a higher Glasgow prognostic score group. RESULTS: postoperative infectious complication occurred more frequently in the higher Glasgow prognostic score group (8.3 % vs 29.5 %, p = 0.018). According to the univariate and multivariate analysis, only a higher Glasgow prognostic score was associated with an increased risk of postoperative infectious complication (OR: 5.478, 95 % CI: 1.236-24.279). CONCLUSION: Glasgow prognostic score is a simple and useful indicator of postoperative infectious complications.

Laparoscopic gastrectomy for elderly patients with gastric cancer: A systematic review with meta-analysis.

BACKGROUND: Laparoscopic gastrectomy (LG) has been widely applied in patients with gastric cancer (GC). However, the safety and application value of LG in elderly patients with GC was still unclear. In this study, we aimed to evaluate the feasibility and safety of LG for elderly patients with GC using the meta-analysis. METHODS: Studies comparing elderly patients and nonelderly patients who underwent LG for GC were reviewed and collected from the PubMed, EBSCO, Cochrane Library, and EMBASE. Outcomes such as operative results, postoperative recovery, and morbidity were compared and analyzed. The Review Manager 5.3 was used to portray the weighted mean difference (WMD) and odds ratio (OR) with a 95% confidence interval (CI). RESULTS: Eleven observational studies with a total of 3275 patients were included. Compared with nonelderly patients, elderly patients had shorter operation time (WMD -10.46; 95% CI -17.06 to -3.86; P = .002), less retrieved lymph nodes (WMD -2.34; 95% CI -3.77 to -0.92; P = .001), delayed time to first flatus (WMD 0.31; 95% CI 0.10-0.51; P = .003), longer postoperative hospital stays (WMD 1.06; 95% CI 0.07-2.05; P = .04), higher risk for overall postoperative complication (OR 1.34; 95% CI 1.08-1.67; P = .009), nonsurgical postoperative complication (OR 1.98; 95% CI 1.24-3.15; P = .004), and postoperative pulmonary complication (OR: 3.09; 95% CI 1.68-5.68; P < .001). There was no significance between nonelderly patients and elderly patients regarding the estimated blood loss, incidences of surgical postoperative complication, surgical site infection, and ileus (P > .05). CONCLUSION: Outcomes of LG for elderly patients were comparable to those in nonelderly patients. Age alone should not preclude LG in elderly patients.

[Impact of miR-148a on the proliferation of gastric carcinoma MKN45 cells and its mechanism].

OBJECTIVE: To investigate the influence of miR-148a on cell proliferation of human gastric cancer cell lines MKN45. METHODS: Expression level of miR-148a was detected by qRT-PCR in the carcinoma tissues and the tissues adjacent to carcinoma of 60 patients with gastric cancer. Lentivirus packaging was used to establish MKN45 gastric cancer cell line expressing stable miR-148a as transfection group,and the untransfected MKN45 cell line as the control group. Gastric cancer MKN45 cell proliferation was detected by CCK8 method. The target gene of miR-148a was predicted by targetscan. Expression of target gene was examined by Western blotting. RESULT: Expression of miR-148a in gastric cancer tissues of 54 cases(90.0%, 54/60) decreased, and among them, 37 tissue samples(61.7%, 37/60) decreased by 2 times. mir-148a expression in cancer tissues of patients with lymph node metastasis, vascular invasion and TNM stage III(-IIII( was down-regulated more obviously(P<0.05). From the third day after transfection, the growth of MKN45 cells was significantly inhibited(P<0.01). Gene CDC25B might be the target gene of miR-148a according to the results of targetscan. Western blot showed that CDC25B expression in transfection group was lower as compared to control group. CONCLUSION: MiR-148a expression is down-regulated in gastric cancer tissues and inhibits gastric cancer cell proliferation. CDC25B may be the target gene of miR-148a that plays a role in tumor suppressor.

microRNA-148a suppresses human gastric cancer cell metastasis by reversing epithelial-to-mesenchymal transition.

MicroRNAs (miRNAs) are important regulators of gastric cancer development and progression. miR-148a is one of the most frequently and highly downregulated miRNAs in gastric cancer and is associated with advanced clinical stage and poor prognosis. In this study, we investigated the role of miR-148a in gastric cancer metastasis. Levels of miR-148a were determined by qRT-PCR in 60 gastric cancer samples. Cell migration and invasion assays were performed in a stably expressing miRNA-148a gastric cancer cell line established using a lentivirus expression system. Epithelial-mesenchymal transition (EMT) was evaluated using qRT-PCR and Western Blots to detect epithelial marker E-cadherin and mesenchymal marker, vimentin. Luciferase reporter assays were used to identify downstream targets and biological function of miR-148a. Gastric cancer tissue had significantly lower expression of miR-148a compared to non-tumor tissue. Low miR-148a levels were associated with lymph node metastasis, N stage, and blood vessel invasion. miR-148a overexpression inhibited metastasis of gastric cancer cells. miR-148a overexpression also downregulated vimentin expression and upregulated E-cadherin expression, suggesting that miR-148a inhibited EMT. Finally, the SMAD2 gene was identified as the direct and functional target of miR-148a. MiR-148a suppresses gastric cancer metastasis and EMT, likely via SMAD2. Restoration of miR-148a expression could have important implications in gastric cancer therapy.