Citation: Haiyan Lu, Jiayue Ye, Yiping Wei, Hua Zhang, Konstantin Chingin, Vladimir Frankevich, Huanwen Chen. Tracing molecular margins of lung cancer by internal extractive electrospray ionization mass spectrometry[J]. Chinese Chemical Letters, ;2025, 36(2): 110077. doi: 10.1016/j.cclet.2024.110077 shu

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

Haiyan Lu ^{a, b} ,
Jiayue Ye ^c ,
Yiping Wei ^c ,
Hua Zhang ^a ,
Konstantin Chingin ^d ,
Vladimir Frankevich ^e ,
Huanwen Chen ^{b, d, *,}

a.
State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, College of Chemistry, Jilin University, Changchun 130012, China
b.
Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, China
c.
The Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
d.
School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang 330004, China
e.
National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov of Ministry of Healthcare of Russian Federation, Moscow 117997, Russian Federation

chw8868@gmail.com

Received Date: 12 December 2023
Revised Date: 4 May 2024
Accepted Date: 31 May 2024
Available Online: 2 June 2024

Figures(4)

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.
- Lung cancer,
- Tumor margins,
- Internal extractive electrospray ionization,
- Mouse models,
- Postoperative recurrence
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