George Amy L, Shaheed Sadr Ul, Sutton Chris W
Institute of Cancer Therapeutics, University of Bradford, Tumbling Hill Street, Bradford BD7 1DB, UK.
J Clin Med. 2021 May 21;10(11):2243. doi: 10.3390/jcm10112243.
Early detection of breast cancer (BC) is critical for increasing survival rates. However, current imaging approaches can provide ambiguous results, requiring invasive tissue biopsy for a definitive diagnosis. Multi-dimensional mass spectrometric analysis has highlighted the invaluable potential of nipple aspirate fluid (NAF) as a non-invasive source of early detection biomarkers, by identifying a multitude of proteins representative of the changing breast microenvironment. However, technical challenges with biomarker validation in large cohorts remain due to low sample throughput, impeding progress towards clinical utility. Rather, by employing a high-throughput method, that is more practicable for clinical utility, perturbations of the most abundant NAF proteins in BC patients compared with non-cancer (NC) controls could be monitored and validated in larger groups.
We characterized matched NAF pairs from BC ( = 9) and NC ( = 4) volunteers, using a rapid one dimensional liquid chromatography-mass spectrometry (1D LC-MS/MS) approach.
Overall, 198 proteins were relatively quantified, of which 40 were significantly differentiated in BC samples, compared with NC ( ≤ 0.05), with 26 upregulated and 14 downregulated. An imbalance in immune response and proteins regulating cell growth, maintenance and communication were identified.
Our findings show 1D LC-MS/MS can quantify changes reflected in the NAF proteome associated with breast cancer development.
早期发现乳腺癌对于提高生存率至关重要。然而,目前的成像方法可能会给出模糊的结果,需要进行侵入性组织活检才能做出明确诊断。多维质谱分析突出了乳头抽吸液(NAF)作为早期检测生物标志物的非侵入性来源的巨大潜力,通过识别大量代表乳腺微环境变化的蛋白质。然而,由于样本通量低,在大型队列中进行生物标志物验证仍存在技术挑战,阻碍了其向临床应用发展的进程。相反,通过采用一种对临床应用更可行的高通量方法,可以在更大的群体中监测和验证乳腺癌患者与非癌症(NC)对照相比最丰富的NAF蛋白的扰动情况。
我们使用快速一维液相色谱 - 质谱联用(1D LC-MS/MS)方法对来自乳腺癌(n = 9)和非癌症(n = 4)志愿者的匹配NAF对进行了表征。
总体而言,相对定量了198种蛋白质,其中40种在乳腺癌样本中与非癌症样本相比有显著差异(p≤0.05),26种上调,14种下调。发现了免疫反应以及调节细胞生长、维持和通讯的蛋白质存在失衡。
我们的研究结果表明,1D LC-MS/MS可以量化NAF蛋白质组中与乳腺癌发展相关的变化。