Unveiling the role of CXCL10 in pancreatic cancer progression: A novel prognostic indicator.

IF 1.7 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Open Medicine Pub Date : 2025-03-21 eCollection Date: 2025-01-01 DOI:10.1515/med-2024-1117
Xiaochao Wu, Longfei Rong, Ruiyi Tang, Quanpeng Li, Fei Wang, Xueting Deng, Lin Miao
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引用次数: 0

Abstract

Objective: Pancreatic cancer is distinguished by its high likelihood of metastasis and drug resistance, while the fundamental mechanisms are inadequately elucidated. This study aimed to identify pivotal hub genes associated with pancreatic cancer and assess their potential utility in predicting its onset and progression.

Methods: Weighted gene co-expression network analysis (WGCNA) combined with differential expression analysis identified novel susceptibility modules and hub genes for pancreatic cancer. Kyoto Encyclopedia of Genes and Genomes and gene ontology analyses were utilized to explore the potential roles of these hub genes. Receiver operator characteristic curves and nomogram models were developed to evaluate diagnostic efficacy. Mendelian randomization, flow cytometry, Transwell, and RNA sequencing were conducted to explore the association between C-X-C motif chemokine ligand 10 (CXCL10) and immune infiltration.

Results: WGCNA analysis was performed to build gene co-expression networks, and ten key genes were found. CXCL10 was the central gene, and its expression was significantly linked to the survival of patients with pancreatic cancer and their response to immune checkpoint inhibitors. CXCL10 demonstrated the ability to stimulate the differentiation of macrophages toward the M2 phenotype. CXCL10 could facilitate the metastasis of pancreatic cancer cells by modulating macrophage polarization. CXCL10 affects macrophage polarization by regulating the expression of vascular endothelial growth factor A.

Conclusions: CXCL10 demonstrates potential as a therapeutic target for managing pancreatic cancer.

目的:胰腺癌的特点是极易转移和耐药,但其基本机制尚未得到充分阐明。本研究旨在确定与胰腺癌相关的关键枢纽基因,并评估它们在预测胰腺癌发病和进展方面的潜在作用:方法:加权基因共表达网络分析(WGCNA)与差异表达分析相结合,确定了胰腺癌的新型易感性模块和枢纽基因。方法:加权基因共表达网络分析(WGCNA)与差异表达分析相结合,发现了胰腺癌的新易感性模块和枢纽基因,并利用《京都基因与基因组百科全书》和基因本体分析来探索这些枢纽基因的潜在作用。开发了受体运算特征曲线和提名图模型来评估诊断效果。通过孟德尔随机化、流式细胞术、Transwell和RNA测序来探讨C-X-C motif趋化因子配体10(CXCL10)与免疫浸润之间的关联:结果:通过 WGCNA 分析构建了基因共表达网络,发现了 10 个关键基因。CXCL10是核心基因,它的表达与胰腺癌患者的生存期及其对免疫检查点抑制剂的反应密切相关。CXCL10 具有刺激巨噬细胞向 M2 表型分化的能力。CXCL10 可通过调节巨噬细胞的极化促进胰腺癌细胞的转移。CXCL10通过调节血管内皮生长因子A的表达影响巨噬细胞的极化:结论:CXCL10具有作为胰腺癌治疗靶点的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Open Medicine
Open Medicine Medicine-General Medicine
CiteScore
3.00
自引率
0.00%
发文量
153
审稿时长
20 weeks
期刊介绍: Open Medicine is an open access journal that provides users with free, instant, and continued access to all content worldwide. The primary goal of the journal has always been a focus on maintaining the high quality of its published content. Its mission is to facilitate the exchange of ideas between medical science researchers from different countries. Papers connected to all fields of medicine and public health are welcomed. Open Medicine accepts submissions of research articles, reviews, case reports, letters to editor and book reviews.
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