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术前血小板-白蛋白比值与癌症炎症预后指数联合预测结直肠癌预后:一项回顾性研究

Combined preoperative platelet-albumin ratio and cancer inflammation prognostic index predicts prognosis in colorectal cancer: a retrospective study.

作者信息

Wang Kuan, Li Kejin, Zhang Ziyi, Zeng Xiangyue, Wu Zhimin, Zhang Boxiang, Pan Yipeng, Lau Lucy Yue, Zhao Zeliang, Chen Yi

机构信息

Department of Gastrointestinal Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, 830011, China.

Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, 510000, Guangdong, China.

出版信息

Sci Rep. 2025 Aug 12;15(1):29500. doi: 10.1038/s41598-025-15309-w.

Abstract

Colorectal cancer (CRC) has one of the highest incidence and mortality rates of any cancer worldwide, and the recurrence and metastasis rates after surgery remain high. The search for simple and reliable prognostic markers is essential to improve patient prognosis. In this study, we investigated the predictive value of two easy-to-measure preoperative markers, platelet-to-albumin ratio (PAR) and cancer inflammation prognostic index (CIPI), in postoperative survival of patients with CRC. We retrospectively analyzed the clinical data of a total of 434 CRC patients from two hospitals. Data from one of the institutions were used as a training cohort. The predictive ability of both markers was assessed using subject work characteristics (ROC) curves, with optimal cutoff values of 11.69 and 6.85 for CIPI and PAR, respectively, and high CIPI and PAR were independently associated with poorer overall survival. We developed nomogram of overall survival (OS), performed internal and external validation, and showed superior prognostic accuracy of the nomogram models. Our results suggest that combined CIPI and PAR can be used as a valid and accessible prognostic tool that is expected to help develop personalized treatment strategies for CRC patients.

摘要

结直肠癌(CRC)是全球所有癌症中发病率和死亡率最高的癌症之一,术后复发和转移率仍然很高。寻找简单可靠的预后标志物对于改善患者预后至关重要。在本研究中,我们调查了两种易于测量的术前标志物,血小板与白蛋白比值(PAR)和癌症炎症预后指数(CIPI),对CRC患者术后生存的预测价值。我们回顾性分析了来自两家医院的434例CRC患者的临床资料。其中一家机构的数据用作训练队列。使用受试者工作特征(ROC)曲线评估两种标志物的预测能力,CIPI和PAR的最佳截断值分别为11.69和6.85,高CIPI和PAR与较差的总生存期独立相关。我们绘制了总生存期(OS)列线图,进行了内部和外部验证,并显示列线图模型具有更高的预后准确性。我们的结果表明,联合CIPI和PAR可作为一种有效且易于获得的预后工具,有望帮助制定CRC患者的个性化治疗策略。

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