Background Red cell distribution width (RDW) and mean platelet volume (MPV) are considered to be associated with tumors. We investigated the diagnostic value of RDW, MPV, and cancer antigen 125 (CA125), alone or in combination, in the diagnosis of endometrial cancer and endometrial hyperplasia. Methods This study included 144 patients with endometrial cancer (stage I: 32; II: 42; III: 48; and IV: 22), 104 patients with endometrial hyperplasia, and 80 healthy control subjects. The whole blood cell parameters were analyzed by a Mindray Blood Cell Analyzer (CAL8000), whereas CA125 was analyzed using an Architect i2000 Analyzer (Abbott). Results Significant differences in RDW, MPV, and CA125 level were observed in the endometrial cancer, endometrial hyperplasia, and control groups ( P < .05). Red cell distribution width was positively correlated ( r = .735) whereas MPV was negatively correlated with ( r = −.736) endometrial cancer staging. The area under the receiver operating characteristic curve of the combined diagnosis of endometrial cancer based on RDW, MPV, and CA125 was 0.924 (95% CI: 0.881‐0.955). The sensitivity and specificity of the combined diagnosis were larger than those of the independent detections involving RDW, MPV, and CA125. Conclusions The combination of RDW, MPV, and CA125 can improve the differential diagnosis of endometrial cancer and endometrial hyperplasia.
Objectives: The present study aimed to conduct a meta-analysis of previously published studies in order to clarify the association of long noncoding RNA (lncRNAs) LINC00673 rs11655237 C> T polymorphism with cancer risk. Design: Systematic review and meta-analysis. Setting: Electronic databases of PubMed, EMBASE, Web of Science, Cochrane Library, Chinese National Knowledge Infrastructure, and Wanfang Database were used to search relevant studies. Studies published up to October 20, 2019 were included. The included studies were assessed in the following genetic model: allelic model, homozygote model, Heterozygote model, dominant model, recessive model. Data syntheses were conducted using STATA 12.0. Participants: Participants with various types cancers were included. Primary and secondary outcome measures: Odds ratio (ORs) and 95% confidence interval (CIs) were calculated to assess the risk of tumor. Results: Seven articles including 7 case-control studies, 7423 cases and 11,049 controls were adopted for meta-analysis. Our result demonstrated that LINC00673 rs11655237 C> T was related to the cancer among all model including allelic model (T vs C: pooled OR = 1.24, 95% CI = 1.16–1.41, P < .001), homozygous model (TT vs CC: pooled OR=1.54, 95% CI = 1.36–1.76, P < .001), heterozygous model (CT vs CC: pooled OR=1.24, 95% CI = 1.16–1.32, P < .001), dominant model (CT + TT vs CC: pooled OR=1.28, 95% CI = 1.20–1.36, P < .001) and recessive model (TT vs CT+ CC: pooled OR=1.42, 95% CI = 1.25–1.61, P < .001). Subgroup analysis also demonstrated that polymorphisms at this site also increased the risk of neuroblastoma. Conclusions: Our results find that rs11655237 contributed to occurrence of cancer in all models in Chinese population.
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