Li Tao, Jiang Huizhong, Gong Yucheng, Liao Mengting, Jia Yuanping, Chen Jiena, Dai Ming, Yan Yinan, Lu Xinyu, Chen Runhua, Li Yuan, Chen Yan, Lin Jie, Li Yicong, Ding Xia
School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
J Transl Med. 2025 Mar 19;23(1):349. doi: 10.1186/s12967-025-06352-2.
Gastric cancer, recognized as one of the most lethal malignancies globally, progresses through a complex, multi-stage development. Elucidating the pathogenic mechanisms behind gastric carcinogenesis and identifying early diagnostic biomarkers are pivotal for decreasing the prevalence of gastric cancer.
Using datasets on gastric cancer and its transformation from gastritis, we employed machine learning to create an early diagnostic model, identifying key genes and evaluating accuracy. We prioritized genes in the gastritis-to-cancer progression, identifying a central driver gene. Pathway analysis revealed its transformation role. Tissue microarrays and rat models validated the driver genes and networks, confirmed in cell and organoid models. We also identified cell types secreting CHI3L1 using single-cell RNA sequencing and multiplex immunohistochemistry, exploring their prognostic significance.
We identified 12 driver genes potentially involved in the gastritis-to-cancer transformation, with CHI3L1, MMP12, CXCL6, IDO1, and CCL20 emerging as the top five genes via a early gastric cancer diagnostic model. CHI3L1 was pinpointed as the central driver across the gastritis-to-cancer spectrum, with its upregulation, along with CD44, β-catenin, and c-Myc, noted in gastric precancerous lesions. In vitro and organoid studies revealed CHI3L1's role in activating the CD44-β-catenin pathway to induce malignancy. Furthermore, our findings indicate that fibroblasts and dendritic cells are the principal sources of CHI3L1 secretion, a factor that is associated with poor prognosis in gastric cancer.
This study highlights CHI3L1 as a key gene driving the progression from gastritis to gastric cancer, primarily by activating the CD44-β-catenin pathway, which enhances malignant cell traits. CHI3L1 is mainly secreted by fibroblasts and dendritic cells, and its high levels are linked to poor gastric cancer prognosis.
胃癌是全球公认的最致命的恶性肿瘤之一,其发展过程复杂且多阶段。阐明胃癌发生的致病机制并确定早期诊断生物标志物对于降低胃癌患病率至关重要。
利用胃癌及其从胃炎转变的数据集中,我们运用机器学习创建了一个早期诊断模型,确定关键基因并评估准确性。我们对胃炎向癌症进展过程中的基因进行了优先级排序,确定了一个核心驱动基因。通路分析揭示了其转化作用。组织微阵列和大鼠模型验证了驱动基因和网络,并在细胞和类器官模型中得到证实。我们还使用单细胞RNA测序和多重免疫组化确定了分泌CHI3L1的细胞类型,探讨了它们的预后意义。
我们确定了12个可能参与胃炎向癌症转化的驱动基因,通过早期胃癌诊断模型,CHI3L1、MMP12、CXCL6、IDO1和CCL20成为前五个基因。CHI3L1被确定为整个胃炎到癌症谱系中的核心驱动基因,在胃癌前病变中发现其与CD44、β-连环蛋白和c-Myc一起上调。体外和类器官研究揭示了CHI3L1在激活CD44-β-连环蛋白通路以诱导恶性肿瘤方面的作用。此外,我们的研究结果表明,成纤维细胞和树突状细胞是CHI3L1分泌的主要来源,这一因素与胃癌预后不良相关。
本研究强调CHI3L1是驱动从胃炎发展为胃癌的关键基因,主要通过激活CD44-β-连环蛋白通路,增强恶性细胞特征。CHI3L1主要由成纤维细胞和树突状细胞分泌,其高水平与胃癌预后不良有关。