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基于病理亚型的壶腹周围癌的临床和分子特征

Clinical and molecular characteristics of periampullary carcinoma based on pathological subtypes.

作者信息

Wang Qianrong, Wang Xiangxu, Shi Zhenghua, Yang Yue, Ai Liping, Zhang Hongmei, Yang Jingyue

机构信息

Department of Oncology, Xijing Hospital, Air Force Medical University, Xi'an, China.

Department of Emergency, Tangdu Hospital, Air Force Medical University, Xi'an, China.

出版信息

J Gastrointest Oncol. 2025 Feb 28;16(1):249-263. doi: 10.21037/jgo-2025-14. Epub 2025 Feb 26.

DOI:10.21037/jgo-2025-14
PMID:40115922
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11921310/
Abstract

BACKGROUND

Periampullary carcinoma (PAC) is a relatively rare but highly aggressive malignancy, posing challenges to the determination of the optimal therapeutic approach. The objective of this study was to clarify the potential of histopathological typing in guiding chemotherapy selection for patients with advanced PAC and to characterize the distinct molecular features, underlying functional changes, and regulatory mechanisms associated with the different subtypes.

METHODS

We conducted a retrospective analysis of clinical data from patients with advanced PAC admitted to the Oncology Department of Xijing Hospital between January 2015 and May 2022. These patients received first-line chemotherapy with either FOLFOX (folinic acid, fluorouracil, and oxaliplatin) or gemcitabine-based regimens. Certain patients were divided into the pathological typing group and the control group. The pathological typing group received subtype-specific chemotherapy regimens, while the control group received chemotherapy regimens based on the primary tumor site. We compared the median progression-free survival (PFS) and overall survival (OS) between the two groups. Using publicly available databases (GSE60980), we conducted differential gene screening, enrichment analysis, and immune cell infiltration assessment. A protein-protein interaction (PPI) network was constructed based on the differentially expressed genes, resulting in the identification of 60 node genes. Subsequently, a core gene selection using the least absolute shrinkage and selection operator (LASSO) regression machine learning algorithm was performed to identify the key genes specific to PAC-PB subtype.

RESULTS

The pathological typing group consisted of 46 patients, with 26 classified as the PB subtype and 20 as the IN subtype, while the control group comprised 40 patients. Compared to those in the control group, patients in the pathological typing group demonstrated significant improvements in overall response rate (20.5% . 12.9%; P=0.04), median PFS (8.1 . 5.4 months; P=0.04), and median OS (34 . 25.9 months; P=0.02). Multivariate Cox regression analysis revealed that pathological typing independently influenced PFS [hazard ratio (HR) =0.20, 95% confidence interval (CI): 0.10-0.44; P=0.009] and OS (HR =0.21, 95% CI: 0.17-0.71; P=0.02). Using a publicly available PAC cohort (GSE60980), we selected 154 differentially expressed genes, which were significantly enriched in signaling pathways related to the cell cycle, fibroblasts, and epithelial-mesenchymal transition. Analysis of immune cell infiltration indicated a significant increase in the abundance of fibroblast cells and a significant decrease in that of B cells and γδ T cells in the PAC-PB subtype. Furthermore, we identified core genes specific to the PAC-PB subtype and used them to construct a PAC-PB diagnostic model.

CONCLUSIONS

Pathologic typing-guided individualized chemotherapy resulted in prolonged survival for patients with advanced PAC. The PB and IN subtypes of PAC exhibit distinct molecular regulatory mechanisms and immune infiltration microenvironments. These findings underscore the importance of considering subtype-specific factors in the development of a PAC-PB diagnostic model.

摘要

背景

壶腹周围癌(PAC)是一种相对罕见但侵袭性很强的恶性肿瘤,给确定最佳治疗方法带来了挑战。本研究的目的是阐明组织病理学分型在指导晚期PAC患者化疗选择方面的潜力,并描述不同亚型相关的独特分子特征、潜在功能变化和调控机制。

方法

我们对2015年1月至2022年5月在西京医院肿瘤科住院的晚期PAC患者的临床资料进行了回顾性分析。这些患者接受了以FOLFOX(亚叶酸、氟尿嘧啶和奥沙利铂)或吉西他滨为基础的一线化疗方案。部分患者被分为病理分型组和对照组。病理分型组接受亚型特异性化疗方案,而对照组接受基于原发肿瘤部位的化疗方案。我们比较了两组之间的中位无进展生存期(PFS)和总生存期(OS)。利用公开可用的数据库(GSE60980),我们进行了差异基因筛选、富集分析和免疫细胞浸润评估。基于差异表达基因构建了蛋白质-蛋白质相互作用(PPI)网络,共鉴定出60个节点基因。随后,使用最小绝对收缩和选择算子(LASSO)回归机器学习算法进行核心基因选择,以鉴定PAC-PB亚型特有的关键基因。

结果

病理分型组有46例患者,其中26例为PB亚型,20例为IN亚型,而对照组有40例患者。与对照组相比,病理分型组患者的总缓解率(20.5%对12.9%;P=0.04)、中位PFS(8.1个月对5.4个月;P=0.04)和中位OS(34个月对25.9个月;P=0.02)均有显著改善。多因素Cox回归分析显示,病理分型独立影响PFS[风险比(HR)=0.20,95%置信区间(CI):0.10-0.44;P=0.009]和OS(HR =0.21,95%CI:0.17-0.71;P=0.02)。利用公开可用的PAC队列(GSE60980),我们筛选出154个差异表达基因,这些基因在与细胞周期、成纤维细胞和上皮-间质转化相关的信号通路中显著富集。免疫细胞浸润分析表明,PAC-PB亚型中成纤维细胞丰度显著增加,B细胞和γδT细胞丰度显著降低。此外,我们鉴定了PAC-PB亚型特有的核心基因,并用于构建PAC-PB诊断模型。

结论

病理分型指导的个体化化疗可延长晚期PAC患者的生存期。PAC的PB和IN亚型表现出不同的分子调控机制和免疫浸润微环境。这些发现强调了在开发PAC-PB诊断模型时考虑亚型特异性因素的重要性。

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本文引用的文献

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