修饰核苷作为前列腺癌的潜在生物标志物:MEKC-UV体外细胞样本的靶向代谢组学

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
ELECTROPHORESIS Pub Date : 2025-03-19 DOI:10.1002/elps.8120
Isabela Rocha, Ingridi Rafaela de Brito, Hernandes F Carvalho, Aline Mara Dos Santos, Ana Valéria Colnaghi Simionato
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引用次数: 0

摘要

前列腺癌是全球男性中第二大常见癌症,2022年报告的新病例超过140万,死亡人数近40万。尽管有前列腺特异性抗原(PSA)检测等诊断工具,但其低灵敏度强化了探索更可靠的生物标志物的需求。在这种情况下,代谢组学提供了一种有前途的方法来识别敏感的生物标志物,以改善癌症的诊断和治疗。因此,本研究旨在利用胶束电动毛细管色谱-紫外检测(MEKC-UV)对体外非肿瘤和癌前列腺细胞的细胞外环境进行靶向代谢组学分析,比较8种核苷的水平。该方法改编自先前优化的血清方案,并进行了细微调整,以满足巴西国家卫生监督局(ANVISA)的标准。核苷通过固相萃取(SPE)提取,细胞培养在37°C、5% CO2的控制条件下保持,直到达到80%的合度。优化后的MEKC-UV方法具有较好的精密度和准确性,但约登试验显示其鲁棒性不足。使用双尾t检验的统计分析显示,非肿瘤细胞中腺苷水平显著升高,而癌细胞中尿苷和5-甲基尿苷浓度升高。肌苷仅在非肿瘤细胞系中检测到。尽管如此,该方法的创新性和成本效益强调了其作为癌症生物标志物鉴定工具的潜力,癌细胞中独特的核苷模式为疾病识别提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified Nucleosides as Potential Biomarkers of Prostate Cancer: Targeted Metabolomics of In Vitro Cell Samples by MEKC-UV.

Prostate cancer is the second most common cancer among men globally, with over 1.4 million new cases and nearly 400000 deaths reported in 2022. Despite the availability of diagnostic tools such as the Prostate Specific Antigen (PSA) test, its low sensitivity reinforces the need for the exploration of more reliable biomarkers. In this context, metabolomics offers a promising approach for identifying sensitive biomarkers to improve cancer diagnosis and treatment. Therefore, this study aimed to conduct a targeted metabolomic analysis of the extracellular environment of In Vitro non-tumoral and cancer prostate cells to compare the levels of eight nucleosides using micellar electrokinetic capillary chromatography with UV detection (MEKC-UV). The method was adapted from a previously optimized protocol for blood serum, with minor adjustments to meet the Brazilian National Health Surveillance Agency (ANVISA) standards. Nucleosides were extracted via solid-phase extraction (SPE), and cell cultures were maintained under controlled conditions at 37°C with 5% CO2 until reaching 80% confluence. The optimized MEKC-UV method demonstrated precision and accuracy, although the Youden test indicated some lack of robustness. Statistical analysis using a two-tailed t-test revealed significantly higher adenosine levels in non-tumoral cells, whereas uridine and 5-methyluridine concentrations were elevated in cancer cells. Inosine was detected exclusively in the non-tumoral cell line. Nevertheless, the method's innovative and cost-effective nature underscores its potential as a tool for cancer biomarker identification, with distinct nucleoside patterns in cancer cells offering valuable insights for disease recognition.

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来源期刊
ELECTROPHORESIS
ELECTROPHORESIS 生物-分析化学
CiteScore
6.30
自引率
13.80%
发文量
244
审稿时长
1.9 months
期刊介绍: ELECTROPHORESIS is an international journal that publishes original manuscripts on all aspects of electrophoresis, and liquid phase separations (e.g., HPLC, micro- and nano-LC, UHPLC, micro- and nano-fluidics, liquid-phase micro-extractions, etc.). Topics include new or improved analytical and preparative methods, sample preparation, development of theory, and innovative applications of electrophoretic and liquid phase separations methods in the study of nucleic acids, proteins, carbohydrates natural products, pharmaceuticals, food analysis, environmental species and other compounds of importance to the life sciences. Papers in the areas of microfluidics and proteomics, which are not limited to electrophoresis-based methods, will also be accepted for publication. Contributions focused on hyphenated and omics techniques are also of interest. Proteomics is within the scope, if related to its fundamentals and new technical approaches. Proteomics applications are only considered in particular cases. Papers describing the application of standard electrophoretic methods will not be considered. Papers on nanoanalysis intended for publication in ELECTROPHORESIS should focus on one or more of the following topics: • Nanoscale electrokinetics and phenomena related to electric double layer and/or confinement in nano-sized geometry • Single cell and subcellular analysis • Nanosensors and ultrasensitive detection aspects (e.g., involving quantum dots, "nanoelectrodes" or nanospray MS) • Nanoscale/nanopore DNA sequencing (next generation sequencing) • Micro- and nanoscale sample preparation • Nanoparticles and cells analyses by dielectrophoresis • Separation-based analysis using nanoparticles, nanotubes and nanowires.
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