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Investigation of spectroscopic and proteomic alterations underlying prostate carcinogenesis.
Journal of Proteomics ( IF 3.3 ) Pub Date : 2020-06-30 , DOI: 10.1016/j.jprot.2020.103888
Juliana Felgueiras 1 , Joana Vieira Silva 2 , Alexandra Nunes 3 , Inês Fernandes 3 , António Patrício 4 , Nuno Maia 4 , Steven Pelech 5 , Margarida Fardilha 3
Affiliation  

Prostate cancer (PCa) treatment remains challenging, especially in advanced stages, where the lack of sensitivity and specificity of available biomarkers makes it difficult to establish an accurate prognosis. Therefore, it is imperative to study PCa biology to identify key molecules that can improve PCa management. In this study, eight prostate tumor tissues and paired normal tissues were analyzed using two approaches—Fourier-transform infrared (FT-IR) spectroscopy for spectroscopic profiling of biomolecules and antibody microarray for signaling proteins—with the main goal of identifying metabolic and proteomic changes that enable the distinction between normal and tumor conditions. Principal component analysis of FT-IR spectra revealed different spectroscopic signals for each condition. The most relevant changes in prostate tumor tissues identified by FT-IR were dysregulation in lipid metabolism, lower polysaccharide and glycogen content, higher nucleic acid content, and increased protein phosphorylation. Using an antibody microarray, 42 proteins were identified as differentially regulated between the two conditions; 14 of those revealed changes in their phosphorylation status. These proteins include transcription factors and kinases and constitute a highly-interconnected interaction network. Altogether, our data reveal metabolic and proteomic alterations that may be of interest in future translational studies aimed at establishing PCa prognosis and treatment.

Significance

Prostate tumor tissues and adjacent benign tissues were analyzed using two approaches—Fourier-transform infrared (FT-IR) spectroscopy for biomolecules and an antibody microarray for signaling proteins, which allowed to identify a panel of metabolic and proteomic alterations that may be of interest in future translational studies to enable the distinction between normal and tumor conditions.



中文翻译:

前列腺癌发生的光谱和蛋白质组学变化研究。

前列腺癌(PCa)治疗仍然具有挑战性,尤其是在晚期阶段,在这种阶段,由于缺乏可用的生物标记物的敏感性和特异性,难以确定准确的预后。因此,必须研究PCa生物学以鉴定可改善PCa管理的关键分子。在这项研究中,使用两种方法对八种前列腺肿瘤组织和成对的正常组织进行了分析-傅里叶变换红外(FT-IR)光谱用于生物分子的光谱分析,抗体微阵列用于信号蛋白的分析-主要目的是鉴定代谢和蛋白质组学变化可以区分正常状况和肿瘤状况。FT-IR光谱的主成分分析揭示了每种条件下不同的光谱信号。通过FT-IR鉴定的前列腺肿瘤组织中最相关的变化是脂质代谢失调,多糖和糖原含量降低,核酸含量更高以及蛋白质磷酸化增加。使用抗体微阵列,在两种条件之间鉴定出42种蛋白质被差异调节。其中14个显示其磷酸化状态发生了变化。这些蛋白质包括转录因子和激酶,并构成高度互连的相互作用网络。总而言之,我们的数据揭示了代谢和蛋白质组学改变,这些改变可能在未来旨在确定PCa预后和治疗的转化研究中引起人们的兴趣。使用抗体微阵列,在两种条件之间鉴定出42种蛋白质被差异调节。其中14个显示其磷酸化状态发生了变化。这些蛋白质包括转录因子和激酶,并构成高度互连的相互作用网络。总而言之,我们的数据揭示了代谢和蛋白质组学改变,这些改变可能在未来的旨在确定PCa预后和治疗的转化研究中很有用。使用抗体微阵列,在两种条件之间鉴定出42种蛋白质被差异调节。其中14个显示其磷酸化状态发生了变化。这些蛋白质包括转录因子和激酶,并构成高度互连的相互作用网络。总而言之,我们的数据揭示了代谢和蛋白质组学改变,这些改变可能在未来旨在确定PCa预后和治疗的转化研究中引起人们的兴趣。

意义

使用两种方法对前列腺肿瘤组织和邻近的良性组织进行了分析-用于生物分子的傅立叶变换红外(FT-IR)光谱和用于信号蛋白的抗体微阵列,这可以确定一组可能感兴趣的代谢和蛋白质组变化未来的翻译研究可以区分正常情况和肿瘤情况。

更新日期:2020-07-03
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