Gang Che , Jie Yin , Wankun Wang , Yandong Luo , Yiran Chen , Xiongfei Yu , Haiyong Wang , Xiaosun Liu , Zhendong Chen , Xing Wang , Yu Chen , Xujin Wang , Kaicheng Tang , Jiao Tang , Wei Shao , Chao Wu , Jianpeng Sheng , Qing Li , Jian Liu
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引用次数: 0
Abstract
Background
Gastric Cancer (GC) characteristically exhibits heterogeneous responses to treatment, particularly in relation to immuno plus chemo therapy, necessitating a precision medicine approach. This study is centered around delineating the cellular and molecular underpinnings of drug resistance in this context.
Methods
We undertook a comprehensive multi-omics exploration of postoperative tissues from GC patients undergoing the chemo and immuno-treatment regimen. Concurrently, an image deep learning model was developed to predict treatment responsiveness.
Results
Our initial findings associate apical membrane cells with resistance to fluorouracil and oxaliplatin, critical constituents of the therapy. Further investigation into this cell population shed light on substantial interactions with resident macrophages, underscoring the role of intercellular communication in shaping treatment resistance. Subsequent ligand-receptor analysis unveiled specific molecular dialogues, most notably TGFB1-HSPB1 and LTF-S100A14, offering insights into potential signaling pathways implicated in resistance. Our SVM model, incorporating these multi-omics and spatial data, demonstrated significant predictive power, with AUC values of 0.93 and 0.84 in the exploration and validation cohorts respectively. Hence, our results underscore the utility of multi-omics and spatial data in modeling treatment response.
Conclusion
Our integrative approach, amalgamating mIHC assays, feature extraction, and machine learning, successfully unraveled the complex cellular interplay underlying drug resistance. This robust predictive model may serve as a valuable tool for personalizing therapeutic strategies and enhancing treatment outcomes in gastric cancer.
期刊介绍:
Drug Resistance Updates serves as a platform for publishing original research, commentary, and expert reviews on significant advancements in drug resistance related to infectious diseases and cancer. It encompasses diverse disciplines such as molecular biology, biochemistry, cell biology, pharmacology, microbiology, preclinical therapeutics, oncology, and clinical medicine. The journal addresses both basic research and clinical aspects of drug resistance, providing insights into novel drugs and strategies to overcome resistance. Original research articles are welcomed, and review articles are authored by leaders in the field by invitation.
Articles are written by leaders in the field, in response to an invitation from the Editors, and are peer-reviewed prior to publication. Articles are clear, readable, and up-to-date, suitable for a multidisciplinary readership and include schematic diagrams and other illustrations conveying the major points of the article. The goal is to highlight recent areas of growth and put them in perspective.
*Expert reviews in clinical and basic drug resistance research in oncology and infectious disease
*Describes emerging technologies and therapies, particularly those that overcome drug resistance
*Emphasises common themes in microbial and cancer research