A Novel Scoring System to Predict Acute Radiation Enteritis Recovery in Cervical Cancer Patients Undergoing Concurrent Chemoradiotherapy: A Southwest China Cohort Study.

IF 2.1 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL International Journal of General Medicine Pub Date : 2024-12-09 eCollection Date: 2024-01-01 DOI:10.2147/IJGM.S485087
Chuan Zeng, Jia Ji, Yusheng Huang, Yuan Peng, Xiaoyue Zhang, Zhenzhou Yang, Zhengjun Guo
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Abstract

Purpose: To establish a pragmatic and effective predictive model for monitoring the recovery of radiation enteritis (RE) in cervical cancer patients undergoing concurrent chemoradiotherapy (CCRT).

Methods: This study included 105 cervical cancer patients undergoing CCRT. We assessed baseline clinicopathologic characteristics, evaluated the effects of CCRT on circulating immune cells, tumor biomarkers, and inflammatory cytokines, and developed a predictive scoring system, the Immune-Tumor-Score (ITS), using the LASSO-Cox regression model. The model performance of LASSO-Cox and nomogram was compared via ROC curve and calibration curve.

Results: The median age of the patients was 55 years, with 53.3% having a normal BMI and 46.7% having positive lymph nodes. Post-CCRT, significant decreases were observed in lymphocyte counts, T-cell subpopulations, and tumor markers (CA125, TPA, SCCA, CYFRA21). The CD4/CD8 ratio and IL10 levels were significantly higher post-CCRT, while inflammation indexes (NLR, ELR) increased, and LMR decreased. The ITS, derived from 11 significant parameters, effectively predicted RE recovery, outperforming a traditional nomogram. Higher ITS scores correlated with shorter RE recovery times, as validated by Kaplan-Meier analyses and ROC curves (AUC = 0.822).

Conclusion: The ITS system provides a robust and reliable tool for predicting RE recovery in cervical cancer patients undergoing CCRT, surpassing traditional models in accuracy and reliability. This tool enables better patient management by allowing for timely interventions and personalized treatment strategies. Future research should focus on validating these findings in larger cohorts and integrating additional clinical parameters to enhance the predictive power of the ITS.

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预测同期化疗宫颈癌患者急性放射性肠炎恢复情况的新型评分系统:中国西南队列研究
目的:建立一个实用有效的预测模型,用于监测接受同期放化疗(CCRT)的宫颈癌患者放射性肠炎(RE)的恢复情况:本研究纳入了 105 名接受 CCRT 治疗的宫颈癌患者。我们评估了基线临床病理特征,评估了 CCRT 对循环免疫细胞、肿瘤生物标记物和炎症细胞因子的影响,并利用 LASSO-Cox 回归模型开发了一套预测评分系统--免疫肿瘤评分(ITS)。通过ROC曲线和校准曲线比较了LASSO-Cox和提名图的模型性能:患者的中位年龄为 55 岁,53.3% 的患者体重指数正常,46.7% 的患者淋巴结阳性。CCRT后,淋巴细胞计数、T细胞亚群和肿瘤标志物(CA125、TPA、SCCA、CYFRA21)均明显下降。CD4/CD8 比率和 IL10 水平在 CCRT 后明显升高,而炎症指数(NLR、ELR)升高,LMR 下降。由 11 个重要参数得出的 ITS 能有效预测 RE 恢复情况,优于传统的提名图。ITS 分数越高,RE 恢复时间越短,Kaplan-Meier 分析和 ROC 曲线验证了这一点(AUC = 0.822):ITS系统是预测接受CCRT治疗的宫颈癌患者RE恢复情况的可靠工具,在准确性和可靠性方面均优于传统模型。该工具可以及时干预并制定个性化的治疗策略,从而更好地管理患者。未来的研究应侧重于在更大的群体中验证这些发现,并整合更多的临床参数,以提高 ITS 的预测能力。
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来源期刊
International Journal of General Medicine
International Journal of General Medicine Medicine-General Medicine
自引率
0.00%
发文量
1113
审稿时长
16 weeks
期刊介绍: The International Journal of General Medicine is an international, peer-reviewed, open access journal that focuses on general and internal medicine, pathogenesis, epidemiology, diagnosis, monitoring and treatment protocols. The journal is characterized by the rapid reporting of reviews, original research and clinical studies across all disease areas. A key focus of the journal is the elucidation of disease processes and management protocols resulting in improved outcomes for the patient. Patient perspectives such as satisfaction, quality of life, health literacy and communication and their role in developing new healthcare programs and optimizing clinical outcomes are major areas of interest for the journal. As of 1st April 2019, the International Journal of General Medicine will no longer consider meta-analyses for publication.
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