Matrix Metalloproteinase-9 is associated with tumor microenvironment remodeling of bladder cancer.

IF 5.7 2区 生物学 Q1 BIOLOGY Biology Direct Pub Date : 2025-01-16 DOI:10.1186/s13062-025-00599-x
Fang Fang, Tiange Wu, Mengxue Wang, Wenchao Li, Zonghao You, Ming Chen, Han Guan
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Abstract

Tumor microenvironment (TME) takes an essential part in the bladder cancer progression, which is associated with intercellular cross-talk between stroma cells and cancer. We aimed use bioinformatics tools to analyze tumor microenvironment remodeling in bladder cancer. CIBERSORT and ESTIMATE are bioinformatics tools based on deconvolution for calculating proportions of tumor-infiltrating immune cells and stromal components in TME. We utilized these two algorithms to analyze the immune components of 433 bladder cancer cases from The Cancer Genome Atlas database, aiming to compensate for the current lack of large-sample single-cell information. Then we used Cox regression to analyze the prognostic value of differentially expressed genes, and the protein-protein interaction network was constructed. Matrix Metalloproteinase-9 (MMP9) was identified as a predictive biomarker related to immune microenvironment. Using Gene Set Enrichment Analysis, the genes from the group with high MMP9 expression gathered in items related to immune diseases, and genes in the group with low MMP9 expression were negatively associated with valine, leucine and isoleucine degradation and glycosylphosphatidylinositol anchor biosynthesis. MMP9 expression and presence of macrophages M0 were positively correlated, while naïve B cells, activated dendritic cells, monocytes and plasma cells were negatively correlated. The results were confirmed by brightfield and multiplex fluorescence immunohistochemistry using stained bladder cancer and normal tissue.

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基质金属蛋白酶-9与膀胱癌肿瘤微环境重塑有关。
肿瘤微环境(Tumor microenvironment, TME)在膀胱癌的发展过程中起着至关重要的作用,它与间质细胞与肿瘤之间的细胞间串扰有关。我们的目的是利用生物信息学工具分析膀胱癌的肿瘤微环境重塑。CIBERSORT和ESTIMATE是基于反卷积的生物信息学工具,用于计算肿瘤浸润免疫细胞和基质成分在TME中的比例。我们利用这两种算法分析了来自the cancer Genome Atlas数据库的433例膀胱癌病例的免疫成分,旨在弥补目前大样本单细胞信息的不足。然后利用Cox回归分析差异表达基因的预后价值,构建蛋白-蛋白相互作用网络。基质金属蛋白酶-9 (Matrix Metalloproteinase-9, MMP9)被确定为与免疫微环境相关的预测性生物标志物。通过基因集富集分析,来自MMP9高表达组的基因聚集在与免疫疾病相关的项目中,而来自MMP9低表达组的基因与缬氨酸、亮氨酸和异亮氨酸降解和糖基磷脂酰肌醇锚定生物合成负相关。MMP9的表达与巨噬细胞M0的存在呈正相关,naïve B细胞、活化的树突状细胞、单核细胞和浆细胞呈负相关。用染色的膀胱癌和正常组织进行亮场和多重荧光免疫组化。
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来源期刊
Biology Direct
Biology Direct 生物-生物学
CiteScore
6.40
自引率
10.90%
发文量
32
审稿时长
7 months
期刊介绍: Biology Direct serves the life science research community as an open access, peer-reviewed online journal, providing authors and readers with an alternative to the traditional model of peer review. Biology Direct considers original research articles, hypotheses, comments, discovery notes and reviews in subject areas currently identified as those most conducive to the open review approach, primarily those with a significant non-experimental component.
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