Torata Nobuhiro, Kubo Makoto, Miura Daisuke, Ohuchida Kenoki, Mizuuchi Yusuke, Fujimura Yoshinori, Hayakawa Eisuke, Kai Masaya, Oda Yoshinao, Mizumoto Kazuhiro, Hashizume Makoto, Nakamura Masafumi
Department of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Department of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
Anticancer Res. 2018 Jul;38(7):4267-4272. doi: 10.21873/anticanres.12723.
BACKGROUND/AIM: Metabolomics is widely used for biomarker discovery, but conventional mass-spectrometry extraction procedures lose the spatial localization of metabolites. In this study, we directly analyzed breast carcinoma tissues embedded in frozen tissue microarrays (fTMAs) using MALDI mass-spectrometry imaging (MALDI-MSI).
A total of 119 breast tissues (84 carcinoma and 35 normal) were used. MSI data were extracted from each tissue.
Overall, 185 of 1,915 peaks which were commonly detected in 60% of target areas were subjected to further analysis. One hundred and fifty-two peaks of carcinoma showed significantly higher intensity than normal. Comparing metabolite profiles from carcinoma and normal tissues, energy charge (EC) and the sum of adenosine phosphate compound (AXP) indicated significantly higher intensities in cancerous tissues than normal. But comparisons of EC and AXP among lymph node metastasis, tumor size and tumor subtypes indicated no significant differences.
Breast carcinoma tissues had higher EC and AXP values than normal. MALDI-MSI could be a tool for characterizing breast carcinoma.
背景/目的:代谢组学广泛应用于生物标志物的发现,但传统的质谱提取方法会丢失代谢物的空间定位信息。在本研究中,我们使用基质辅助激光解吸电离质谱成像(MALDI-MSI)直接分析冷冻组织微阵列(fTMA)中包埋的乳腺癌组织。
共使用了119份乳腺组织(84份癌组织和35份正常组织)。从每个组织中提取MSI数据。
总体而言,在60%的目标区域中普遍检测到的1915个峰中的185个峰进行了进一步分析。癌组织的152个峰强度明显高于正常组织。比较癌组织和正常组织的代谢物谱,能量电荷(EC)和磷酸腺苷化合物总和(AXP)在癌组织中的强度明显高于正常组织。但在淋巴结转移、肿瘤大小和肿瘤亚型之间比较EC和AXP,未发现显著差异。
乳腺癌组织的EC和AXP值高于正常组织。MALDI-MSI可作为表征乳腺癌的一种工具。