The proteomic landscape shows oncologic relevance in cystitis glandularis.

IF 1.7 Q3 PATHOLOGY
Jun Yong Kim, Dohyun Han, Hyeyoon Kim, Minsun Jung, Han Suk Ryu
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引用次数: 0

Abstract

Background: The relationship between cystitis glandularis (CG) and bladder malignancy remains unclear.

Methods: We identified the oncologic significance of CG at the molecular level using liquid chromatography-tandem mass spectrometry-based proteomic analysis of 10 CG, 12 urothelial carcinoma (UC), and nine normal urothelium (NU) specimens. Differentially expressed proteins (DEPs) were identified based on an analysis of variance false discovery rate < 0.05, and their functional enrichment was analyzed using a network model, Gene Set Enrichment Analysis, and Gene Ontology annotation.

Results: We identified 9,890 proteins across all samples and 1,139 DEPs among the three entities. A substantial number of DEPs overlapped in CG/NU, distinct from UC. Interestingly, we found that a subset of DEP clusters (n = 53, 5%) was differentially expressed in NU but similarly between CG and UC. This "UC-like signature" was enriched for reactive oxygen species (ROS) and energy metabolism, growth and DNA repair, transport, motility, epithelial-mesenchymal transition, and cell survival. Using the top 10 shortlisted DEPs, including SOD2, PRKCD, CYCS, and HCLS1, we identified functional elements related to ROS metabolism, development, and transport using network analysis. The abundance of these four molecules in UC/CG than in NU was consistent with the oncologic functions in CG.

Conclusions: Using a proteomic approach, we identified a predominantly non-neoplastic landscape of CG, which was closer to NU than to UC. We also confirmed a small subset of common DEPs in UC and CG, suggesting that altered ROS metabolism might imply potential cancerous risks in CG.

Abstract Image

Abstract Image

Abstract Image

蛋白质组学图显示腺性膀胱炎的肿瘤学相关性。
背景:腺性膀胱炎(CG)与膀胱恶性肿瘤的关系尚不清楚。方法:采用液相色谱-串联质谱技术对10例CG、12例尿路上皮癌(UC)和9例正常尿路上皮(NU)标本进行蛋白质组学分析,在分子水平上确定CG的肿瘤学意义。基于方差分析(false discovery rate < 0.05)对差异表达蛋白(differential expression protein, DEPs)进行识别,并利用网络模型、基因集富集分析(Gene Set enrichment analysis)和基因本体注释(Gene Ontology annotation)对其功能富集进行分析。结果:我们在所有样品中鉴定出9890种蛋白质,在三个实体中鉴定出1139种dep。与UC不同,在CG/NU中有大量dep重叠。有趣的是,我们发现DEP簇的一个子集(n = 53,5%)在NU中表达差异,但在CG和UC中表达相似。这种“uc样特征”丰富于活性氧(ROS)和能量代谢、生长和DNA修复、运输、运动、上皮-间质转化和细胞存活。利用前10名入围的DEPs,包括SOD2、PRKCD、CYCS和HCLS1,我们通过网络分析确定了与ROS代谢、发育和运输相关的功能元件。这四种分子在UC/CG中的丰度高于NU,这与CG的肿瘤功能一致。结论:使用蛋白质组学方法,我们确定了CG的主要非肿瘤性景观,其更接近NU而不是UC。我们还证实了UC和CG中有一小部分常见的dep,这表明ROS代谢的改变可能意味着CG中存在潜在的癌症风险。
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来源期刊
CiteScore
5.00
自引率
4.20%
发文量
45
审稿时长
14 weeks
期刊介绍: The Journal of Pathology and Translational Medicine is an open venue for the rapid publication of major achievements in various fields of pathology, cytopathology, and biomedical and translational research. The Journal aims to share new insights into the molecular and cellular mechanisms of human diseases and to report major advances in both experimental and clinical medicine, with a particular emphasis on translational research. The investigations of human cells and tissues using high-dimensional biology techniques such as genomics and proteomics will be given a high priority. Articles on stem cell biology are also welcome. The categories of manuscript include original articles, review and perspective articles, case studies, brief case reports, and letters to the editor.
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