| 王泓涛,黄兴茂,俞鹏飞.局部进展期胃癌新辅助免疫治疗疗效评估的研究进展[J].中国肿瘤,2026,35(6):491-500. |
| 局部进展期胃癌新辅助免疫治疗疗效评估的研究进展 |
| Progress in the Assessment of Treatment Response to Neoadjuvant Immunotherapy in Locally Advanced Gastric Cancer |
| 投稿时间：2025-12-27 |
| DOI：10.11735/j.issn.1004-0242.2026.06.A009 |
|
 |
| 中文关键词: 胃癌 新辅助治疗 影像学 病理学 分子标志物 多模态 |
| 英文关键词:gastric cancer neoadjuvant therapy imaging pathology molecular biomarkers multimodal |
| 基金项目:浙江省自然科学基金（LBZ22H60002） |
|
| 摘要点击次数: 0 |
| 全文下载次数: 0 |
| 中文摘要: |
| 摘 要：新辅助治疗（neoadjuvant therapy， NAT）可有效降低进展期胃癌的肿瘤分期，进而改善患者远期预后，但疗效存在显著个体差异。术前精准预测NAT疗效，及时优化治疗策略，是制定个体化围手术期治疗方案的核心关键。近年来，免疫检查点抑制剂联合新辅助化疗逐渐应用于进展期胃癌，并有效提高了此类患者的病理缓解率；与此同时，免疫治疗背景下肿瘤反应模式的复杂化使疗效预测与评估面临新的挑战。传统CT影像学和病理学肿瘤退缩分级体系在NAT疗效评估中发挥了重要作用，但前者难以反映肿瘤生物学异质性，后者又仅局限于术后评价，均难以满足精准、动态预测的需求。随着精准医学与人工智能技术的发展，多模态预测模型通过系统整合影像表型、病理形态及分子生物学层面的多维信息，为实现微创化、精准化的疗效预测提供了新的可能。全文系统综述了新辅助治疗疗效评估各技术的优势和局限性，以及未来发展方向。 |
| 英文摘要: |
| Abstract： Neoadjuvant therapy （NAT） can effectively reduce the tumor stage in patients with locally advanced gastric cancer， thereby improving long-term outcomes； however， therapeutic responses vary markedly among individuals. Accurate preoperative prediction of response to NAT and timely optimization of treatment strategies are central to the development of individualized perioperative treatment plans. In recent years， immune checkpoint inhibitors combined with neoadjuvant chemotherapy have been increasingly applied in locally advanced gastric cancer and have significantly improved pathological response rates. Meanwhile， the increasing complexity of tumor response patterns in the context of immunotherapy has posed new challenges for efficacy prediction and assessment. Conventional CT imaging and pathological tumor regression grading systems play important roles in evaluating the response to neoadjuvant therapy； however， the former has limited ability to reflect tumor biological heterogeneity， whereas the latter is restricted to postoperative assessment， and neither can fully meet the demands for precise and dynamic prediction. With advances in precision medicine and artificial intelligence， multimodal predictive models that systematically integrate imaging phenotypes， pathological features， and molecular biological information across multiple dimensions offer new opportunities for minimally invasive and accurate efficacy prediction. This paper comprehensively summarizes the advantages and limitations of various techniques for evaluating the efficacy of neoadjuvant therapy， as well as their future research directions. |
|
在线阅读
查看全文 查看/发表评论 下载PDF阅读器 |