Department of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, 6 Grunwaldzka Street, 60-780 Poznan, Poland.
Gynecologic Oncology Department, Poznan University of Medical Sciences, 33 Polna Street, 60-535 Poznan, Poland.
Int J Environ Res Public Health. 2020 Oct 18;17(20):7564. doi: 10.3390/ijerph17207564.
This study presents the use of matrix-assisted laser desorption and ionization mass spectrometry imaging (MALDI-MSI) directly on the tissue of two ovarian tumors that often present a diagnostic challenge, a low-grade serous borderline ovarian tumor and ovarian fibrothecoma. Different spatial distribution of m/z values within the tissue samples was observed, and regiospecific peaks were identified. Among the 106 peaks in the borderline ovarian tumor five, regiospecific peaks (m/z: 2861.35; 2775.79; 3368.34; 3438.43; 4936.37) were selected using FlexImaging software. Subsequently, the distribution of those selected peaks was visualized on the fibrothecoma tissue section, which demonstrated the differences in the tissue homo-/heterogeneous structure of both tumors. The comparison with the histopathological staining of the ovarian borderline tumor tissue section, obtained during serial sectioning, showed a close correlation of the molecular map with the morphological and histopathological features of the tissue and allowed the identification of different tissue types within the sample. This study highlights the potential significance of MSI in enabling morphological characterization of ovarian tumors as well as correct diagnosis and further prognosis than thus far seen in the literature. Osteopontin, tropomyosin and orosomucoid are only a couple of the molecules investigated using MALDI-MSI in ovarian cancer research. This study, in line with the available literature, proves the potential of MALDI-MSI to overcome the current limitations of classic histopathological examination giving a more in-depth insight into the tissue structure and thus lead to the more accurate differential diagnosis of ovarian tumors, especially in the most challenging cases.
本研究利用基质辅助激光解吸电离质谱成像（MALDI-MSI）直接对两种经常具有诊断挑战性的卵巢肿瘤组织进行分析，这两种肿瘤分别为低级别浆液性交界性卵巢肿瘤和卵巢纤维卵泡膜细胞瘤。观察到组织样本中 m/z 值的不同空间分布，并鉴定了区域特异性峰。在交界性卵巢肿瘤的 106 个峰中，使用 FlexImaging 软件选择了五个区域特异性峰（m/z：2861.35；2775.79；3368.34；3438.43；4936.37）。随后，在纤维卵泡膜细胞瘤组织切片上可视化了这些选定峰的分布，这表明了两种肿瘤组织同质/异质结构的差异。与在连续切片过程中获得的卵巢交界性肿瘤组织切片的组织化学染色进行比较，显示分子图谱与组织的形态学和组织病理学特征密切相关，并允许在样本内识别不同的组织类型。这项研究强调了 MSI 在实现对卵巢肿瘤的形态学特征进行描述以及正确诊断和进一步预后方面的潜在意义，这比目前文献中所见的要更加准确。骨桥蛋白、原肌球蛋白和粘蛋白在卵巢癌研究中仅使用 MALDI-MSI 研究了几种分子。这项研究与现有文献一致，证明了 MALDI-MSI 克服当前经典组织病理学检查局限性的潜力，为深入了解组织结构提供了更多的信息，从而导致对卵巢肿瘤的更准确的鉴别诊断，特别是在最具挑战性的情况下。
