Taiyuan Institute of Technology, Taiyuan, Shanxi, China.
Shanxi Medical University, Taiyuan, Shanxi, China.
Integr Cancer Ther. 2022 Jan-Dec;21:15347354221105485. doi: 10.1177/15347354221105485.
Chemotherapy-induced adverse effects (CIAEs) remain a challenging problem due to their high incidences and negative impacts on treatment in Chinese colorectal cancer (CRC) patients. We aimed to identify risk factors and predictive markers for CIAEs using food/nutrition data in CRC patients receiving post-operative capecitabine-based chemotherapy.
Food/nutrition data from 130 Chinese CRC patients were analyzed. Univariate and multivariate analyses were used to identify CIAE-related food/nutrition factors. Prediction models were constructed based on the combination of these factors. The area under the receiver operating characteristic curve (AUROC) was used to evaluate the discrimination ability of models.
A total of 20 food/nutrition factors associated with CIAEs were identified in the univariate analysis after adjustments for total energy and potential confounding factors. Based on multivariate analysis, we found that, among these factors, dessert, eggs, poultry, and milk were associated with several CIAEs. Most importantly, poultry was an overall protective factor; milk and egg were risk factors for hand-foot syndrome (HFS) and bone marrow suppression (BMS), respectively. Developed multivariate models in predicting grade 1 to 3 CIAEs and grade 2/3 CIAEs both had good discrimination (AUROC values from 0.671 to 0.778, 0.750 to 0.946 respectively), which had potential clinical application value in the early prediction of CIAEs, especially for more severe CIAEs.
Our findings suggest that patients with high milk and egg intakes should be clinically instructed to control their corresponding dietary intake to reduce the likelihood of developing HFS and BMS during capecitabine-based chemotherapy, respectively.
ClinicalTrials.gov Identifier: NCT03030508.
由于化疗引起的不良反应(CIAEs)发生率高,且对中国结直肠癌(CRC)患者的治疗有负面影响,因此仍是一个挑战。我们旨在通过接受术后卡培他滨为基础化疗的 CRC 患者的食物/营养数据,确定 CIAEs 的风险因素和预测标志物。
分析了 130 名中国 CRC 患者的食物/营养数据。采用单变量和多变量分析来确定与 CIAEs 相关的食物/营养因素。基于这些因素的组合构建预测模型。利用受试者工作特征曲线(ROC)下面积(AUROC)评估模型的区分能力。
在调整总能量和潜在混杂因素后,单变量分析共确定了 20 个与 CIAEs 相关的食物/营养因素。基于多变量分析,我们发现这些因素中,甜点、鸡蛋、家禽和牛奶与几种 CIAEs 相关。最重要的是,家禽是一种整体保护因素;牛奶和鸡蛋分别是手足综合征(HFS)和骨髓抑制(BMS)的危险因素。用于预测 1 至 3 级 CIAEs 和 2/3 级 CIAEs 的多变量模型均具有良好的区分度(AUROC 值分别为 0.671 至 0.778 和 0.750 至 0.946),这在 CIAEs 的早期预测中具有潜在的临床应用价值,尤其是对更严重的 CIAEs。
我们的研究结果表明,高牛奶和鸡蛋摄入量的患者应在临床上指导其控制相应的饮食摄入,以降低卡培他滨为基础化疗期间发生 HFS 和 BMS 的可能性。
ClinicalTrials.gov 标识符:NCT03030508。