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数据非依赖性采集蛋白质组学分析可区分光化性角化病、鲍恩病和皮肤鳞状细胞癌。

Data Independent Acquisition Proteomic Analysis Can Discriminate between Actinic Keratosis, Bowen's Disease, and Cutaneous Squamous Cell Carcinoma.

机构信息

Center for Translational Skin Research, The University of Sydney, Westmead, New South Wales, Australia; Department of Dermatology, Westmead Hospital, Westmead, New South Wales, Australia.

School of Mathematics and Statistics, Charles Perkins Centre, The University of Sydney, Camperdown, New South Wales, Australia.

出版信息

J Invest Dermatol. 2020 Jan;140(1):212-222.e11. doi: 10.1016/j.jid.2019.06.128. Epub 2019 Jun 27.

Abstract

Actinic keratosis, Bowen's disease and cutaneous squamous cell carcinoma (cSCC) are heterogeneous keratinocytic skin lesions. Biomarkers that can accurately stratify these lesion types are needed to support a new paradigm of personalized and precise management of skin neoplasia. In this paper, we used a data independent acquisition proteomics workflow, sequential window acquisition of all theoretical mass spectra, to analyze formalin-fixed paraffin-embedded samples of normal skin and keratinocytic skin lesions, including well-differentiated, moderately differentiated and poorly differentiated cSCC lesions. We quantified 3,574 proteins across the 93 samples studied. Differential abundance analysis identified 19, 5, and 6 protein markers exclusive to actinic keratosis, Bowen's disease and cSCC lesions, respectively. Among cSCC lesions of various levels of tumor differentiation, 118, 230, and 17 proteins showed a potential as biomarkers of well-differentiated, moderately differentiated and poorly differentiated cSCC lesions, respectively. Bioinformatics analysis revealed that actinic keratosis and cSCC lesions were associated with decreased apoptosis, and Bowen's disease lesions with over-representation of the DNA damage repair pathway. Differential expression of alternatively spliced FGFR2, Rho guanosine triphosphatase signaling, and RNA metabolism proteins were associated with the level of cSCC tumor differentiation. Proteome profiles also separated keratinocytic skin lesion subtypes on principal components analysis. Overall, protein markers have excellent potential to discriminate keratinocytic skin lesion subtypes and facilitate new diagnostic and therapeutic strategies.

摘要

光化性角化病、鲍恩病和皮肤鳞状细胞癌(cSCC)是异质性的角质形成细胞皮肤病变。需要能够准确分层这些病变类型的生物标志物,以支持皮肤肿瘤个体化和精准管理的新模式。在本文中,我们使用了一种独立数据采集的蛋白质组学工作流程,即顺序窗口采集所有理论质谱,来分析正常皮肤和角质形成细胞皮肤病变的福尔马林固定石蜡包埋样本,包括分化良好、中度分化和低度分化的 cSCC 病变。我们在 93 个研究样本中定量了 3574 种蛋白质。差异丰度分析确定了 19、5 和 6 种分别仅存在于光化性角化病、鲍恩病和 cSCC 病变中的蛋白质标志物。在各种分化程度的 cSCC 病变中,118、230 和 17 种蛋白质分别具有作为分化良好、中度分化和低度分化 cSCC 病变生物标志物的潜力。生物信息学分析显示,光化性角化病和 cSCC 病变与细胞凋亡减少有关,而鲍恩病病变与 DNA 损伤修复途径的过度表达有关。替代性剪接的 FGFR2、Rho 鸟苷三磷酸酶信号和 RNA 代谢蛋白的差异表达与 cSCC 肿瘤分化程度有关。蛋白质组谱也可以通过主成分分析分离角质形成细胞皮肤病变亚型。总的来说,蛋白质标志物具有极好的潜力来区分角质形成细胞皮肤病变亚型,并促进新的诊断和治疗策略。

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