Metabolic marker composition for predicting neoadjuvant chemoradiotherapy efficacy of rectal cancer and application thereof

By combining metabolic biomarkers and metabolomics technology, the efficacy of neoadjuvant chemoradiotherapy for rectal cancer can be predicted at an early stage, solving the problem of time-consuming and costly efficacy assessment in existing technologies, and improving the accuracy of efficacy prediction and patient survival rate.

CN122410035APending Publication Date: 2026-07-17HARBIN METANOTITIA INC
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Patent Information

Application Number
CN202510638229.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-19
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Current technology makes it difficult to accurately determine the efficacy of neoadjuvant chemoradiotherapy for rectal cancer before treatment, resulting in some patients incurring unnecessary treatment costs and adverse reactions. Furthermore, imaging examinations are costly and time-consuming, causing patients to miss other treatment opportunities.

Method used

The study utilizes a combination of metabolic biomarkers, including 2,3-dihydroxybutyric acid, alanine, choline, creatine, ceramide d42:1, glutamine, hippuric acid, myristic acid, sphingomyelin d32:1, and triglycerides 60:6, to analyze blood samples using metabolomics technology. This allows for the construction of a predictive model and enables early prediction of the efficacy of neoadjuvant chemoradiotherapy.

Benefits of technology

It improves the sensitivity and specificity of predicting the efficacy of neoadjuvant chemoradiotherapy, saves treatment time and costs, improves patient survival rates, simplifies the testing process, and reduces technical costs.

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Abstract

本发明公开用于预测直肠癌新辅助放化疗疗效的代谢标志物组合物及其应用,涉及生物医学技术领域。用于预测直肠癌新辅助放化疗疗效的代谢标志物包括2,3‑二羟基丁酸、丙氨酸、胆碱、肌酸、神经酰胺d42:1(d18:0 / 24:1)、谷氨酰胺、马尿酸、肉豆蔻酸、鞘磷脂d32:1(d16:1 / 16:0)和甘油三酯60:6。本发明提供的代谢标志物组合物用于预测直肠癌新辅助放化疗疗效时具有较高的灵敏度与特异性,具有较高的准确度,可在新辅助放化疗治疗前实现对疗效效果的预测,可为直肠癌患者治疗方式的选择提供有效帮助,节省治疗时间与治疗成本,提高患者的生存率。且操作简单、样本获取方便,技术成本较低。
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