Tracing molecular margins of lung cancer by internal extractive electrospray ionization mass spectrometry

IF 8.9 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Chinese Chemical Letters Pub Date : 2025-01-01 Epub Date: 2024-06-02 DOI:10.1016/j.cclet.2024.110077
Haiyan Lu , Jiayue Ye , Yiping Wei , Hua Zhang , Konstantin Chingin , Vladimir Frankevich , Huanwen Chen
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Abstract

Accurate determination of lung cancer margins at the molecular level is of great significance to determine the optimal extent of resection during surgical operation and reduce the risk of postoperative recurrence. In this study, internal extractive electrospray ionization mass spectrometry (iEESI-MS) was used to trace potential molecular tumor margins in lung cancer tissue. Molecular differential model for the determination of lung cancer tumor margin was established via partial least-squares discriminant analysis (PLS-DA) of iEESI-MS data collected from lung tissue pieces within cancer tumor area and iEESI-MS data collected from lung tissue pieces outside cancer tumor area. Proof-of-concept data demonstrate that the developed molecular differential model yields ca. 1–2 mm wider potential molecular tumor margin of a lung cancer compared to the conventional histological analysis, showing promising potential of iEESI-MS to increase the accuracy of tumor margins determination and lower risk of lung cancer postoperative recurrence. Furthermore, our results revealed that creatine and taurine showed positive correlations with lung cancer.

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利用内萃取电喷雾离子化质谱追踪肺癌分子边缘
从分子水平准确测定肺癌边缘对确定手术切除的最佳范围和降低术后复发风险具有重要意义。本研究采用内萃取电喷雾离子化质谱法(iEESI-MS)追踪肺癌组织中潜在的分子肿瘤边缘。通过对癌症肿瘤区内肺组织碎片的 iEESI-MS 数据和癌症肿瘤区外肺组织碎片的 iEESI-MS 数据进行偏最小二乘判别分析(PLS-DA),建立了确定肺癌肿瘤边缘的分子判别模型。概念验证数据表明,与传统的组织学分析相比,所开发的分子差异模型可使肺癌的潜在分子肿瘤边缘扩大约 1-2 毫米,这表明 iEESI-MS 在提高肿瘤边缘确定的准确性和降低肺癌术后复发风险方面具有广阔的前景。此外,我们的研究结果表明肌酸和牛磺酸与肺癌呈正相关。
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来源期刊
Chinese Chemical Letters
Chinese Chemical Letters 化学-化学综合
CiteScore
14.10
自引率
15.40%
发文量
8969
审稿时长
1.6 months
期刊介绍: Chinese Chemical Letters (CCL) (ISSN 1001-8417) was founded in July 1990. The journal publishes preliminary accounts in the whole field of chemistry, including inorganic chemistry, organic chemistry, analytical chemistry, physical chemistry, polymer chemistry, applied chemistry, etc.Chinese Chemical Letters does not accept articles previously published or scheduled to be published. To verify originality, your article may be checked by the originality detection service CrossCheck.
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