Nitusca Diana, Socaciu Carmen, Socaciu Andreea Iulia, Sirbu Ioan Ovidiu, Bardan Razvan, Cumpanas Alin Adrian, Seclaman Edward, Marian Catalin
Department of Biochemistry and Pharmacology, Victor Babes University of Medicine and Pharmacy, Pta Eftimie Murgu Nr. 2, 300041 Timisoara, Romania.
Center for Complex Networks Science, Victor Babes University of Medicine and Pharmacy, Pta Eftimie Murgu Nr. 2, 300041 Timisoara, Romania.
Curr Issues Mol Biol. 2023 Jun 8;45(6):5036-5051. doi: 10.3390/cimb45060320.
Prostate cancer (PCa) remains one of the leading causes of cancer mortality in men worldwide, currently lacking specific, early detection and staging biomarkers. In this regard, modern research focuses efforts on the discovery of novel molecules that could represent potential future non-invasive biomarkers for the diagnosis of PCa, as well as therapeutic targets. Mounting evidence shows that cancer cells express an altered metabolism in their early stages, making metabolomics a promising tool for the discovery of altered pathways and potential biomarker molecules. In this study, we first performed untargeted metabolomic profiling on 48 PCa plasma samples and 23 healthy controls using ultra-high-performance liquid chromatography coupled with electrospray ionization quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-[ESI+]-MS) for the discovery of metabolites with altered profiles. Secondly, we selected five molecules (L-proline, L-tryptophan, acetylcarnitine, lysophosphatidylcholine C18:2 and spermine) for the downstream targeted metabolomics and found out that all the molecules, regardless of the PCa stage, were decreased in the PCa plasma samples when compared to the controls, making them potential biomarkers for PCa detection. Moreover, spermine, acetylcarnitine and L-tryptophan had very high diagnostic accuracy, with AUC values of 0.992, 0.923 and 0.981, respectively. Consistent with other literature findings, these altered metabolites could represent future specific and non-invasive candidate biomarkers for PCa detection, which opens novel horizons in the field of metabolomics.
前列腺癌(PCa)仍然是全球男性癌症死亡的主要原因之一,目前缺乏特异性的早期检测和分期生物标志物。在这方面,现代研究致力于发现可能成为未来前列腺癌诊断潜在非侵入性生物标志物以及治疗靶点的新分子。越来越多的证据表明,癌细胞在早期阶段就表现出代谢改变,这使得代谢组学成为发现改变的代谢途径和潜在生物标志物分子的有前途的工具。在本研究中,我们首先使用超高效液相色谱联用电喷雾电离四极杆飞行时间质谱(UHPLC-QTOF-[ESI+]-MS)对48份前列腺癌血浆样本和23份健康对照进行非靶向代谢组学分析,以发现具有改变谱的代谢物。其次,我们选择了五种分子(L-脯氨酸、L-色氨酸、乙酰肉碱、溶血磷脂酰胆碱C18:2和精胺)进行下游靶向代谢组学研究,发现与对照组相比,所有这些分子在前列腺癌血浆样本中均降低,无论前列腺癌处于何种阶段,这使其成为前列腺癌检测的潜在生物标志物。此外,精胺、乙酰肉碱和L-色氨酸具有非常高的诊断准确性,AUC值分别为0.992、0.923和0.981。与其他文献研究结果一致,这些改变的代谢物可能代表未来前列腺癌检测的特异性和非侵入性候选生物标志物,这为代谢组学领域开辟了新的视野。