BNIP3+ fibroblasts associated with hypoxia and inflammation predict prognosis and immunotherapy response in pancreatic ductal adenocarcinoma.

IF 5.3 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Bo Gao, Guohua Hu, Boshi Sun, Wenqiang Li, Hao Yang
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引用次数: 0

Abstract

Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the most malignant tumors that lacks effective treatment options. Cancer-associated fibroblasts (CAFs), an important component of the tumor microenvironment, associated with tumor progression, prognosis, and treatment response. This work aimed to explore the novel CAFs-associated target to improve treatment strategies in PDAC.

Methods: The PDAC single-cell sequencing data (CRA001160, n = 35) were downloaded and integrated based on GSA databases to classify fibroblasts into fine subtypes. Functional enrichment analysis and coexpression regulatory network analysis were used to identify the functional phenotypes and biological properties of the different fibroblast subtypes. Fibroblast differentiation trajectories were constructed using pseudochronological analysis to identify initial and terminally differentiated subtypes of fibroblasts. The changes in the proportions of different fibroblast subtypes before and after PDAC immunotherapy were compared in responsive and nonresponding patients, and the relationships between fibroblast subtypes and PDAC immunotherapy responsiveness were determined based on GSA and GEO database. Using molecular biology methods to confirm the effects of BNIP3 on hypoxia and inflammation in CAFs. CAFs were co cultured with pancreatic cancer cells to detect their effects on migration and invasion of pancreatic cancer.

Results: Single-cell data analysis divided fibroblasts into six subtypes. The differentiation trajectory suggested that BNIP3+ Fibro subtype exhibited terminal differentiation, and the expression of genes related to hypoxia and the inflammatory response increased gradually with differentiation time. The specific overexpressed genes in the BNIP3+ Fibro subtype were significantly associated with overall and disease progression-free survival in the patients with PDAC. Interestingly, the greater the proportion of the BNIP3+ Fibro subtype was, the worse the response of PDAC patients to immunotherapy, and the CRTL treatment regimen effectively reduced the proportion of the BNIP3+ Fibro subtype. After knocking out BNIP3, the hypoxia markers and inflammatory factors of CAFs were inhibited. Co-culture of CAFs with pancreatic cancer cells can increase the migration and invasion of pancreatic cancer, but this could be reversed by knocking out BNIP3.

Conclusions: This study revealed the BNIP3+ Fibro subtype associated with hypoxia and inflammatory responses, which was closely related to the poor prognosis of patients with PDAC, and identified signature genes that predict the immunotherapy response in PDAC.

与缺氧和炎症相关的 BNIP3+ 成纤维细胞可预测胰腺导管腺癌的预后和免疫疗法反应。
背景:胰腺导管腺癌(PDAC)是最恶性的肿瘤之一,缺乏有效的治疗方案。癌症相关成纤维细胞(CAFs)是肿瘤微环境的重要组成部分,与肿瘤进展、预后和治疗反应相关。本研究旨在探索新型CAFs相关靶点,以改善PDAC的治疗策略:方法:下载PDAC单细胞测序数据(CRA001160,n = 35),并基于GSA数据库进行整合,将成纤维细胞分为精细亚型。功能富集分析和共表达调控网络分析用于确定不同成纤维细胞亚型的功能表型和生物学特性。利用伪时序分析构建了成纤维细胞分化轨迹,以确定成纤维细胞的初始亚型和终末分化亚型。比较了有反应和无反应患者在PDAC免疫治疗前后不同成纤维细胞亚型比例的变化,并基于GSA和GEO数据库确定了成纤维细胞亚型与PDAC免疫治疗反应性之间的关系。利用分子生物学方法证实BNIP3对CAFs缺氧和炎症的影响。将CAFs与胰腺癌细胞共培养,检测其对胰腺癌迁移和侵袭的影响:结果:单细胞数据分析将成纤维细胞分为六种亚型。分化轨迹表明,BNIP3+成纤维亚型表现为终末分化,随着分化时间的延长,与缺氧和炎症反应相关的基因表达量逐渐增加。BNIP3+ Fibro亚型中的特定过表达基因与PDAC患者的总生存期和无疾病进展生存期显著相关。有趣的是,BNIP3+ Fibro亚型的比例越高,PDAC患者对免疫疗法的反应越差,而CRTL治疗方案能有效降低BNIP3+ Fibro亚型的比例。敲除BNIP3后,CAFs的缺氧标志物和炎症因子受到抑制。CAFs与胰腺癌细胞共培养可增加胰腺癌的迁移和侵袭,但敲除BNIP3后可逆转这一趋势:这项研究揭示了与缺氧和炎症反应相关的BNIP3+纤维亚型,它与PDAC患者的不良预后密切相关,并确定了预测PDAC免疫治疗反应的特征基因。
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
CiteScore
8.30
自引率
3.40%
发文量
1601
期刊介绍: ACS Applied Nano Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics and biology relevant to applications of nanomaterials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important applications of nanomaterials.
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