肠道亚型作为局部晚期胃腺癌新辅助免疫化疗反应的生物标志物:一项前瞻性II期试验的启示。

IF 10 1区 医学 Q1 ONCOLOGY
Lei Wang, Mengting Sun, Jinyang Li, Linghong Wan, Yuting Tan, Shuoran Tian, Yongying Hou, Linyu Wu, Ziyi Peng, Xiao Hu, Qihua Zhang, Zening Huang, Mengyi Han, Shiyin Peng, Yuwei Pan, Yuanfeng Ren, Mengsi Zhang, Dongfeng Chen, Qin Liu, Xianfeng Li, Zhong-Yi Qin, Junyv Xiang, Mengxia Li, Jianwu Zhu, Qiyue Chen, Huiyan Luo, Shunan Wang, Tao Wang, Fan Li, Xiu-Wu Bian, Bin Wang
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引用次数: 0

摘要

目的:新辅助免疫化疗(NAIC)可明显诱导局部晚期胃腺癌(GAC)的病理消退。然而,目前仍缺乏特异性生物标志物来有效识别新辅助免疫化疗的受益患者:开展了一项前瞻性、单臂、II期研究,用NAIC治疗局部晚期胃腺癌(NCT05515796)。研究调查了临床病理特征与新辅助治疗疗效之间的相关性。对104个样本(来自两个独立队列的75名患者)的大量RNA-seq数据和105个治疗无效GAC的scRNA-seq数据进行了综合分析,以解读上皮和微环境特征与临床反应之间的关联:达到了预设的主要终点:病理完全缓解率(pathCR)为30%,主要病理缓解率(MPR)为43%,而治疗方案的耐受性良好。对基线临床病理参数的分析表明,劳伦分类中的肠亚型是对 NAIC 敏感性增加的患者进行分层的关键特征。从机理上讲,肿瘤微环境中DNA损伤修复(DDR)活性癌细胞池的增加和CLEC9A+树突状细胞(DC)的富集与肠亚型GAC对NAIC的反应性增强有关。更重要的是,通过整合DDR活性癌细胞和CLEC9A+ DCs的转录组特征,机器学习算法NaiveBayes构建了肠亚型特异性特征模型,该模型能准确预测NAIC在多个独立GAC队列中的疗效:结论:肠亚型是GAC对NAIC敏感性增强的组织学生物标志物。肠亚型特异性特征模型适用于指导局部晚期GAC患者的NAIC治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intestinal subtype as a biomarker of response to neoadjuvant immunochemotherapy in locally advanced gastric adenocarcinoma: insights from a prospective phase II trial.

Purpose: Neoadjuvant immunochemotherapy (NAIC) markedly induces pathologic regression in locally advanced gastric adenocarcinoma (GAC). However, specific biomarkers are still lacking to effectively identify the beneficiary patients for NAIC.

Patients and methods: A prospective, single-arm, phase II study was conducted to treat locally advanced GAC with NAIC (NCT05515796). Correlation between clinicopathological characteristics and neoadjuvant efficacy was investigated. Bulk RNA-seq data from 104 samples (from 75 patients in two independent cohorts) and scRNA-seq data from 105 treatment-naïve GACs were comprehensively analyzed to decipher the association of epithelial and microenvironmental characteristics and clinical responses.

Results: The pre-specified primary endpoints were achieved: pathological complete regression (pathCR) rate was 30%, major pathological regression (MPR) rate was 43%, while the regimen was well tolerated. Analysis of baseline clinical-pathological parameters revealed the intestinal subtype of Lauren's classification as a key feature stratifying patients with increased sensitivity to NAIC. Mechanistically, an increased pool of DNA damage repair (DDR)-active cancer cells and enrichment of CLEC9A+ dendritic cells (DCs) in the tumor microenvironment were associated with enhanced responsiveness of the intestinal subtype GAC to NAIC. More importantly, an intestinal-subtype specific signature model was constructed by the machine learning algorithm NaiveBayes via integrating the transcriptomic features of both DDR-active cancer cells and CLEC9A+ DCs, which accurately predicted the efficacy of NAIC in multiple independent GAC cohorts.

Conclusions: Intestinal subtype is a histological biomarker of enhanced sensitivity of GAC to NAIC. The Intestinal-subtype specific signature model is applicable to guide NAIC for patients with locally advanced GAC.

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来源期刊
Clinical Cancer Research
Clinical Cancer Research 医学-肿瘤学
CiteScore
20.10
自引率
1.70%
发文量
1207
审稿时长
2.1 months
期刊介绍: Clinical Cancer Research is a journal focusing on groundbreaking research in cancer, specifically in the areas where the laboratory and the clinic intersect. Our primary interest lies in clinical trials that investigate novel treatments, accompanied by research on pharmacology, molecular alterations, and biomarkers that can predict response or resistance to these treatments. Furthermore, we prioritize laboratory and animal studies that explore new drugs and targeted agents with the potential to advance to clinical trials. We also encourage research on targetable mechanisms of cancer development, progression, and metastasis.
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