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RHOA protein expression correlates with clinical features in gastric cancer: a systematic review and meta-analysisopen access

Authors
Nam, SeungyoonLee, YeeunKim, Jung Ho
Issue Date
Jul-2022
Publisher
BMC
Keywords
RHOA; Gastric cancer; Meta-analysis; Immunohistochemistry
Citation
BMC CANCER, v.22, no.1
Journal Title
BMC CANCER
Volume
22
Number
1
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/85504
DOI
10.1186/s12885-022-09904-7
ISSN
1471-2407
Abstract
Background Gastric cancer (GC) is one of the most fatal cancers worldwide and is generally only detected after it has progressed to an advanced stage. Since there is a lack of comprehensive data on RHOA protein expression of patients with GC, this study utilized a systematic review and meta-analysis to address the limitation. The objective of this meta-analysis was to link GC clinical features with RHOA protein high- vs. low-expressing patients with GC. Methods The PubMed and Web of Science were used for a systematic literature review of GC related to RHOA. The included studies were obtained from two literature databases from past to Aug 31, 2021, by searching keywords. This meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The odds ratios (ORs) and 95% confidential intervals (CIs) for clinical features were estimated according to the high and low protein expression levels of RhoA. The mean effect sizes of ORs were obtained using the random-effects and fixed-effects models of meta-analysis. Heterogeneity of the studies was assesed by using statistics: tau(2), I-2; and Q values. The symmetry of funnel plots were inspected for publication bias. Results Finally, 10 studies including 1,389 patients with GC (735 RHOA-positive and 654 RHOA-negative) were eligible for our meta-analysis to estimate associations between the protein expression and clinical features (e.g., Union for International Cancer Control [UICC] stage progression, differentiation, Lauren histological classification, and vascular invasion). In our meta-analysis, RHOA positive expression was determined to have a statistically significant association with UICC stage progression (P = 0.02) and poorly differentiated status (P = 0.02). The association between RHOA positivity and Lauren subtypes was not statistically significant (P = 0.07). Conclusions This meta-analysis suggested that RhoA protein expression in patients with GC was associated with clinical features: UICC stage progression and poorly differentiated status. Our findings are inconclusive but indicate that high RHOA protein expressing patients with GC could predict advanced UICC stages. A large prospective cohort study is required for validation in future.
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