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成像质谱通过可视化磷脂酰胆碱(16:0/16:1)和磷脂酰胆碱(18:1/20:4)区分口腔鳞状细胞癌的癌区和基质区。

Imaging mass spectrometry distinguished the cancer and stromal regions of oral squamous cell carcinoma by visualizing phosphatidylcholine (16:0/16:1) and phosphatidylcholine (18:1/20:4).

机构信息

Department of Oral and Maxillofacial Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan.

出版信息

Anal Bioanal Chem. 2014 Feb;406(5):1307-16. doi: 10.1007/s00216-013-7062-3. Epub 2013 Jun 1.

DOI:10.1007/s00216-013-7062-3
PMID:23728729
Abstract

Most oral cancers are oral squamous cell carcinoma (OSCC). The anatomical features of OSCC have been histochemically evaluated with hematoxylin and eosin. However, the border between the cancer and stromal regions is unclear and large portions of the cancer and stromal regions are resected in surgery. To reduce the resected area and maintain oral function, a new method of diagnosis is needed. In this study, we tried to clearly distinguish the border on the basis of biomolecule distributions visualized by imaging mass spectrometry (IMS). In the IMS dataset, eleven signals were significantly different in intensity (p < 0.01) between the cancer and stromal regions. Two signals at m/z 770.5 and m/z 846.6 were distributed in each region, and a clear border was revealed. Tandem mass spectrometric (MS/MS) analysis identified these signals as phosphatidylcholine (PC) (16:0/16:1) at m/z 770.5 in the cancer region and PC (18:1/20:4) at m/z 846.6 in the stromal region. Moreover, the distribution of PC species containing arachidonic acid in the stromal region suggests that lymphocytes accumulated in response to the inflammation caused by cancer invasion. In conclusion, the cancer and stromal regions of OSCCs were clearly distinguished by use of these PC species and IMS analysis, and this molecular identification can provide important information to elucidate the mechanism of cancer invasion.

摘要

大多数口腔癌是口腔鳞状细胞癌(OSCC)。OSCC 的解剖学特征已经通过苏木精和伊红进行了组织化学评估。然而,癌症和基质区域之间的边界不清晰,并且在手术中切除了大量的癌症和基质区域。为了减少切除面积并保持口腔功能,需要一种新的诊断方法。在这项研究中,我们试图基于成像质谱(IMS)可视化的生物分子分布来清楚地区分边界。在 IMS 数据集,在癌症和基质区域之间,有 11 个信号的强度有显著差异(p < 0.01)。m/z 770.5 和 m/z 846.6 处的两个信号在每个区域均有分布,并且显示出清晰的边界。串联质谱(MS/MS)分析鉴定这些信号为癌症区域中的磷脂酰胆碱(PC)(16:0/16:1)(m/z 770.5)和基质区域中的 PC(18:1/20:4)(m/z 846.6)。此外,基质区域中含有花生四烯酸的 PC 物种的分布表明淋巴细胞聚集是对癌症侵袭引起的炎症的反应。总之,通过使用这些 PC 物种和 IMS 分析清楚地区分了 OSCC 的癌症和基质区域,这种分子鉴定可以提供重要信息,以阐明癌症侵袭的机制。

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