Exploration into Plasma Hsa_circ_0052184 as a New Biomarker of Colorectal Cancer Prognosis.

IF 1.8 4区医学 Q3 PHARMACOLOGY & PHARMACY Pharmacogenomics & Personalized Medicine Pub Date : 2023-01-01 DOI:10.2147/PGPM.S413451

Enqi Zheng, Deshuang Xiao

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Abstract

Background: Circular RNAs (circRNAs) are strong modulators of tumor pathology. Herein, our goal was to examine the plasma hsa_circ_0052184 content among colorectal cancer (CRC) patients, and assess its association with patient clinicopathological profile and diagnostic values.

Methods: Overall, we collected 228 presurgical CRC and 146 normal plasma samples from The First People's Hospital of Wenling. Circulating hsa_circ_0052184 levels were assessed via qRT-PCR, and the diagnostic prediction was conducted with the receiver operating characteristic (ROC) curve.

Results: Relative to healthy controls, CRC patients exhibited markedly enhanced circulating hsa_circ_0052184 levels, which were closely correlated with advanced stage of disease and worse outcome. Based on our uni- (UA) and multivariate assessments (MA), elevated hsa_circ_0052184 levels were a stand-alone predictor of poor prognosis. The ROC curve depicted an area under the curve (AUC) for CRC diagnosis to be 0.9072.

Conclusion: Circulating hsa_circ_0052184 is a potential bioindicator of CRC outcome.

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血浆Hsa_circ_0052184作为结直肠癌预后新标志物的探讨

背景:环状rna (circRNAs)是肿瘤病理的强调节剂。本研究目的是检测结直肠癌(CRC)患者血浆hsa_circ_0052184的含量，并评估其与患者临床病理特征和诊断价值的关系。方法:收集温岭市第一人民医院结直肠癌术前228例，正常血浆146例。采用qRT-PCR检测循环hsa_circ_0052184水平，采用受试者工作特征(ROC)曲线进行诊断预测。结果:与健康对照相比，结直肠癌患者外周血hsa_circ_0052184水平明显升高，与病情进展及预后差密切相关。基于我们的单(UA)和多变量评估(MA)， hsa_circ_0052184水平升高是预后不良的独立预测因子。ROC曲线显示CRC诊断的曲线下面积(AUC)为0.9072。结论:循环hsa_circ_0052184是CRC预后的潜在生物指标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Pharmacogenomics & Personalized Medicine Biochemistry, Genetics and Molecular Biology-Molecular Medicine

CiteScore

3.30

自引率

5.30%

发文量

110

审稿时长

16 weeks

期刊介绍： Pharmacogenomics and Personalized Medicine is an international, peer-reviewed, open-access journal characterizing the influence of genotype on pharmacology leading to the development of personalized treatment programs and individualized drug selection for improved safety, efficacy and sustainability. In particular, emphasis will be given to: Genomic and proteomic profiling Genetics and drug metabolism Targeted drug identification and discovery Optimizing drug selection & dosage based on patient''s genetic profile Drug related morbidity & mortality intervention Advanced disease screening and targeted therapeutic intervention Genetic based vaccine development Patient satisfaction and preference Health economic evaluations Practical and organizational issues in the development and implementation of personalized medicine programs.