Ambient mass spectrometry for the molecular diagnosis of lung cancer

The Analyst ◽  
2020 ◽  
Vol 145 (2) ◽  
pp. 313-320 ◽  
Author(s):  
Haiyan Lu ◽  
Hua Zhang ◽  
Yiping Wei ◽  
Huanwen Chen
Keyword(s):  
Mass Spectrometry ◽  
Lung Cancer ◽  
Molecular Diagnosis ◽  
Ambient Mass Spectrometry ◽  
Diagnosis Of Lung Cancer ◽  
Improved Accuracy ◽  
Bulk Tissue

Lipids, metabolites and proteins in a bulk tissue were sequentially detected by iEESI-MS for improved accuracy in cancer differentiation.

scholarly journals A Proteomic Approach to the Identification of Lung Cancer Markers

2001 ◽  
Vol 17 (4) ◽  
pp. 295-300 ◽  
Author(s):  
Samir Hanash ◽  
Franck Brichory ◽  
David Beer
Keyword(s):  
Mass Spectrometry ◽  
Lung Cancer ◽  
Tumor Antigens ◽  
Lung Tumor ◽  
Mass Spectrometry Data ◽  
Serological Response ◽  
Protein Markers ◽  
Lung Cancer Patients ◽  
Proteomic Approach ◽  
Diagnosis Of Lung Cancer

We have developed a comprehensive approach to the identification of protein markers in lung cancer that includes profiling of tumor tissue and cell lines as well as the analysis of serum for autoantibodies to lung tumor antigens. A large number of proteins that are differentially expressed in the major subtypes of lung cancer have been identified by mass spectrometry. A database of protein expression in lung cancer and other types of cancer has been constructed that integrates two-dimensional gel profiles, mass spectrometry data, quantitative protein data and gene expression data at the RNA level, that serves as a resource for biomarker identification. Analysis of the serological response in lung cancer has led to the identification of novel markers detectable in serum of lung cancer patients at the time of diagnosis. The proteomic approach is likely to yield novel classification schemes and novel markers for early diagnosis of lung cancer.

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