结直肠癌患者术后基于c反应蛋白的炎症生物标志物的预后价值:系统评价和荟萃分析

IF 3.4 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Clinical Epidemiology Pub Date : 2023-01-01 DOI:10.2147/CLEP.S415171
Tafirenyika Gwenzi, Anna Zhu, Petra Schrotz-King, Ben Schöttker, Michael Hoffmeister, Dominic Edelmann, Hermann Brenner
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引用次数: 1

摘要

癌症患者术后炎症可以通过药物和饮食调节,但其预后作用的证据仍然相当有限,这对个性化治疗和监测方案至关重要。我们旨在系统回顾和荟萃分析结直肠癌(CRC)患者术后基于c反应蛋白(CRP)的炎症生物标志物的预后价值研究(PROSPERO#: CRD42022293832)。PubMed、Web of Science和Cochrane数据库被检索到2023年2月。研究报告了术后CRP、格拉斯哥预后评分(GPS)或改良格拉斯哥预后评分(mGPS)与总生存期(OS)、crc特异性生存期(CSS)和无复发生存期(RFS)之间的关系。风险比(hr)和95%可信区间(ci)的预测结果关联使用r软件,版本4.2进行汇总。16项研究(n = 6079)被纳入meta分析。与低CRP水平相比,术后CRP升高是不良OS、CSS和RFS的预测因子[HR (95% CI): 1.72 (1.32-2.25);1.63 (1.30 - -2.05);2.23(1.44-3.47)]。术后GPS单位增加预示着不良的OS [HR (95% Cl): 1.31(1.14-1.51)]。此外,术后mGPS单位增加与不良OS和CSS相关[HR (95% Cl): 1.93 (1.37-2.72);3.16(分别为1.48 ~ 6.76)。术后基于crp的炎症生物标志物对结直肠癌患者的预后有重要作用。因此,在当前多组学研究的重点中,这些易于获得的常规测量的预测价值似乎优于大多数更复杂的基于血液或组织的预测指标。未来的研究应该验证我们的发现,确定生物标志物评估的最佳时间,并确定这些生物标志物在术后风险分层和治疗反应监测中的临床有用临界值。
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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Prognostic Value of Post-Operative C-Reactive Protein-Based Inflammatory Biomarkers in Colorectal Cancer Patients: Systematic Review and Meta-Analysis.

Post-operative inflammation in cancer patients can be modulated by drugs and diets, but evidence on its prognostic role, which would be crucial for personalized treatment and surveillance schemes, remains rather limited. We aimed to systematically review and meta-analyse studies on the prognostic value of post-operative C-reactive protein (CRP)-based inflammatory biomarkers among patients with colorectal cancer (CRC) (PROSPERO#: CRD42022293832). PubMed, Web of Science and Cochrane databases were searched until February 2023. Studies reporting associations between post-operative CRP, Glasgow Prognostic Score (GPS) or modified Glasgow Prognostic Score (mGPS) with overall survival (OS), CRC-specific survival (CSS) and recurrence-free survival (RFS) were included. Hazard ratios (HRs) with 95% confidence intervals (CIs) for the predictor-outcome associations were pooled using R-software, version 4.2. Sixteen studies (n = 6079) were included in the meta-analyses. Elevated post-operative CRP was a predictor of poor OS, CSS and RFS compared with low CRP levels [HR (95% CI): 1.72 (1.32-2.25); 1.63 (1.30-2.05); 2.23 (1.44-3.47), respectively]. A unit increase in post-operative GPS predicted poor OS [HR (95% Cl): 1.31 (1.14-1.51)]. Moreover, a unit increase in post-operative mGPS was associated with poor OS and CSS [HR (95% Cl): 1.93 (1.37-2.72); 3.16 (1.48-6.76), respectively]. Post-operative CRP-based inflammatory biomarkers have a significant prognostic role for patients with CRC. Prognostic value of these easy-to-obtain routine measurements thereby seems to outperform most of the much more complex blood- or tissue-based predictors in the current focus of multi-omics-based research. Future studies should validate our findings, establish optimal time for biomarker assessment and determine clinically useful cut-off values of these biomarkers for post-operative risk-stratification and treatment-response monitoring.

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来源期刊
Clinical Epidemiology
Clinical Epidemiology Medicine-Epidemiology
CiteScore
6.30
自引率
5.10%
发文量
169
审稿时长
16 weeks
期刊介绍: Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment. Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews. Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews. When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes. The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.
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