Pietkiewicz Dagmara, Plewa Szymon, Zaborowski Mikołaj, Garrett Timothy J, Matuszewska Eliza, Kokot Zenon J, Matysiak Jan
Department of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, 3 Rokietnicka Street, 60-806, Poznan, Poland.
Gynecologic Oncology Department, Poznan University of Medical Sciences, 33 Polna Street, 60-535, Poznan, Poland.
Cancer Cell Int. 2022 Dec 19;22(1):414. doi: 10.1186/s12935-022-02832-3.
Mass spectrometry imaging (MSI) enables obtaining multidimensional results simultaneously in a single run, including regiospecificity and m/z values corresponding with specific proteins, peptides, lipids, etc. The knowledge obtained in this way allows for a multifaceted analysis of the studied issue, e.g., the specificity of the neoplastic process and the search for new therapeutic targets. Despite the enormous possibilities, this relatively new technique in many aspects still requires the development or standardization of analytical protocols (from collecting biological material, through sample preparation, analysis, and data collection, to data processing). The introduction of standardized protocols for MSI studies, with its current potential to extend diagnostic and prognostic capabilities, can revolutionize clinical pathology. As far as identifying ovarian cancer subtypes can be challenging, especially in poorly differentiated tumors, developing MSI-based algorithms may enhance determining prognosis and tumor staging without the need for extensive surgery and optimize the choice of subsequent therapy. MSI might bring new solutions in predicting response to treatment in patients with endometrial cancer. Therefore, MSI may help to revolutionize the future of gynecological oncology in terms of diagnostics, treatment, and predicting the response to therapy. This review will encompass several aspects, e.g., contemporary discoveries in gynecological cancer research utilizing MSI, indicates current challenges, and future perspectives on MSI.
质谱成像(MSI)能够在单次运行中同时获得多维结果,包括区域特异性以及与特定蛋白质、肽、脂质等相对应的质荷比(m/z)值。通过这种方式获得的知识有助于对所研究的问题进行多方面分析,例如肿瘤形成过程的特异性以及寻找新的治疗靶点。尽管具有巨大的潜力,但这项相对较新的技术在许多方面仍需要开发或标准化分析方案(从生物材料的采集,到样品制备、分析、数据收集,再到数据处理)。引入标准化的MSI研究方案,凭借其目前扩展诊断和预后能力的潜力,可能会给临床病理学带来变革。由于识别卵巢癌亚型可能具有挑战性,尤其是在低分化肿瘤中,开发基于MSI的算法可能会在无需广泛手术的情况下增强预后判断和肿瘤分期能力,并优化后续治疗方案的选择。MSI可能会为预测子宫内膜癌患者的治疗反应带来新的解决方案。因此,MSI在诊断、治疗以及预测治疗反应方面可能有助于彻底改变妇科肿瘤学的未来。本综述将涵盖几个方面,例如利用MSI在妇科癌症研究中的当代发现、指出当前的挑战以及MSI的未来前景。