Zheng Xia, Wang Yanzhong, Chen Yirui
Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang 310016, China.
Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang 310016, China.
J Oncol. 2022 Aug 27;2022:7887711. doi: 10.1155/2022/7887711. eCollection 2022.
A previous research study on differentiating gastric cancer (GC) into distinct subtypes or prognostic models was mostly based on GC tissues, which neglected the role of nontumour tissues in GC subtypes. The purpose of the research was to identify GC subtypes on the basis of tumour and adjacent nontumour tissues to assess the prognosis of GC patients. We characterized three GC subtypes on the basis of the immunologic and hallmark gene sets in GC and adjacent nontumour tissues: among them, the GC patients with subtype I had the longest survival time compared to patients with other subtypes. The classification was closely associated with stage and pathological stage of GC patients. A prognostic model containing two gene sets was constructed by LASSO analysis. Kaplan-Meier analysis showed that patients in the high-risk group survived longer than those in the low-risk group and the two prognostic genes sets in the model were strongly correlated with survival status. Then, GO and KEGG analyses and PPI network show that nontumour and tumour tissues are influencing the prognosis of GC patients in separate manners. In summary, we emphasized the prognostic value of nontumour tissue in GC patients and proposed a novel insight that both changes in tumour and nontumour tissues should be taken into account when selecting a treatment strategy for GC.
先前关于将胃癌（GC）分为不同亚型或预后模型的研究大多基于GC组织，而忽略了非肿瘤组织在GC亚型中的作用。该研究的目的是基于肿瘤组织和相邻非肿瘤组织来识别GC亚型，以评估GC患者的预后。我们根据GC组织和相邻非肿瘤组织中的免疫和特征基因集对三种GC亚型进行了特征描述：其中，与其他亚型的患者相比，I型GC患者的生存时间最长。该分类与GC患者的分期和病理分期密切相关。通过LASSO分析构建了一个包含两个基因集的预后模型。Kaplan-Meier分析表明，高风险组的患者比低风险组的患者存活时间更长，并且模型中的两个预后基因集与生存状态密切相关。然后，GO和KEGG分析以及PPI网络表明，非肿瘤组织和肿瘤组织以不同的方式影响GC患者的预后。总之，我们强调了非肿瘤组织在GC患者中的预后价值，并提出了一种新的观点，即在为GC选择治疗策略时应同时考虑肿瘤组织和非肿瘤组织的变化。
