术前COFP评分对结直肠癌根治性切除术预后的评估价值
Evaluation value of preoperative COFP score for prognosis after radical resection of colorectal cancer
投稿时间:2023-09-02  修订日期:2024-01-31
DOI:
中文关键词:  结直肠癌  纤维蛋白原与前白蛋白比值指数  血小板与淋巴细胞比值  纤维蛋白原与白蛋白比值指数  预后
英文关键词:colorectal cancer (CRC)  fibrinogen to pre-albumin ratio index (FPRI)  platelet-to-lymphocyte ratio (PLR)  fibrinogen to albumin ratio index (FARI)  prognosis
基金项目:南通市科技局项目(JC22022027,JC22022009);南通市卫健委项目(MS2021046)
作者单位邮编
李静 南通市肿瘤医院/南通大学附属肿瘤医院 226361
吴俊* 南通市肿瘤医院/南通大学附属肿瘤医院 226361
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中文摘要:
      [目的] 慢性炎症和营养不良是促进结直肠癌(CRC)发生和发展的关键原因。本研究旨在探讨CRC患者根治性切除术术前纤维蛋白原与前白蛋白比值(FPRI)的预后价值,并将其与纤维蛋白原与白蛋白比值(FARI)及其他全身性炎症指标,包括中性粒细胞-淋巴细胞比值(NLR)和血小板-淋巴细胞比值(PLR)进行比较。[方法] 对249例外科CRC患者的术前FPRI、FARI、NLR和PLR进行研究。通过受试者工作特征(ROC)曲线分析确定阈值,并通过Kaplan-Meier曲线和Cox回归模型评估其对总生存期(OS)或无病生存期(DFS)的预后价值。使用危险因素的列线图来评估生存风险,并使用一致性指数(c-index)来评估预测的准确性。 [结果] 单因素分析结果显示,FPRI(P<0.001)、FARI(P<0.001)、NLR(P=0.01)和PLR(P<0.001)是影响CRC患者生存率的预后因素。FPRI对OS和DFS预测优于FARI和其他炎症指标(AUCFPRI: 0.618, AUCFARI: 0.545、AUCNLR: 0.511和AUCPLR: 0.549)。多变量分析结果显示,高FPRI(P<0.01)、高PLR(P<0.01)和高COFP(FPRI和PLR的组合)(P<0.001)与OS和DFS显著相关。FPRI、PLR和COFP值高的患者OS和DFS明显降低,亚组分析结果显示COFP对晚期CRC患者有更好的预测价值(P<0.001)。包含FPRI和PLR的列线图提高了对患者预后的预测精度(c指数分别为0.760和0.750)。 [结论] 研究结果表明,FPRI或PLR均可预测患者的预后,但两者的结合(COFP)可能比单独使用FPRI或PLR更好地作为CRC的独立预后生物标志物。
英文摘要:
      [Background] Chronic inflammation and malnutrition are critical causes in the initiation and progression of colorectal cancer (CRC). This study aimed to investigate the prognostic value of the preoperative fibrinogen-to-pre-albumin ratio index (FPRI) in CRC patients undergoing a radical primary tumor resection and compare it with the fibrinogen-to-albumin ratio index (FARI) and other systemic inflammation markers, including the neutrophil–lymphocyte ratio (NLR) and platelet–lymphocyte ratio (PLR). [Methods] We analyzed preoperative FPRI, FARI, NLR, and PLR in 249 surgical CRC patients. Thresholds were determined using receiver operating characteristic (ROC) curve analysis, and their prognostic values for overall survival (OS) or disease-free-survival (DFS) were assessed using Kaplan-Meier curves and Cox regression models. We used a nomogram of several risk factors to evaluate survival risk, and Harrell’s concordance index (c-index) to predict the accuracy of estimation. [Results] Univariate analysis showed that FPRI (P<0.001), FARI (P<0.001), NLR (P=0.01), and PLR (P<0.001) were prognostic factors of CRC survival. FPRI in predicting OS and DFS were superior to FARI and other inflammatory markers (AUCFPRI: 0.618, AUCFARI:0.545、AUCNLR:0.511和AUCPLR:0.549). Multivariable analysis revealed that high FPRI (P<0.01), high PLR (P<0.01) and high COFP (combination of FPRI and PLR) (P<0.001) were significantly correlated with OS and DFS. Patients with high FPRI, PLR and COFP values experienced a significantly reduction in OS and DFS; Subgroup analysis showed that COFP had a better predictive value in patients with advanced CRC (P<0.001). Nomograms containing FPRI and PLR improved the predictive accuracy (C-indexes were 0.760 and 0.750, respectively). [Conclusions] Our findings demonstrated that FPRI or PLR might predict prognosis for CRC, but the combined use of the both (COFP) could act as a better independent prognostic biomarker of CRC than FPRI or PLR alone.
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