Early Candidate Biomarkers of Non–Small Cell Lung Cancer Are Screened and Identified in Premalignant Lung Lesions. (February 2017)
- Record Type:
- Journal Article
- Title:
- Early Candidate Biomarkers of Non–Small Cell Lung Cancer Are Screened and Identified in Premalignant Lung Lesions. (February 2017)
- Main Title:
- Early Candidate Biomarkers of Non–Small Cell Lung Cancer Are Screened and Identified in Premalignant Lung Lesions
- Authors:
- Nan, Yandong
Du, Jie
Ma, Lijie
Jiang, Hua
Jin, Faguang
Yang, Shuanying - Abstract:
- A specific protein profile that accompanies neoplastic transformation in the premalignant airway epithelium could provide an opportunity for early diagnosis of lung cancer. The aim of this study was to screen and identify early candidate biomarkers of non–small cell lung cancer. Thirteen non–small cell lung cancer samples were obtained within 30 minutes after a surgical resection. Laser capture microdissection was performed to enrich the normal lung cell and squamous metaplasia or atypical adenomatous hyperplasia cell populations. The resulting tandem mass spectrum was automatically searched for proteins against International Protein Index (IPI) human protein database using the TurboSEQUEST searching engine. The molecular function and biological processes of identified proteins were determined based on universal bioinformatics tools. The 2 proteins of interest, focal adhesion kinase and C-terminal Src kinase, were validated using Western blot method. A total of 863 proteins were identified by automatically searching the tandem mass spectrum, among which 427 were dysregulated expression in premalignant airway epithelium compared with those of normal lung cells. The 427 proteins were mainly distributed in 24 sorts of cellular components, 22 molecular function, 15 biological processes, and 10 significant perturbations of pathways. The most significant network included 48 genes and was related to energy production, cell cytoskeleton, cell adhesion, metabolism, oxidative stress,A specific protein profile that accompanies neoplastic transformation in the premalignant airway epithelium could provide an opportunity for early diagnosis of lung cancer. The aim of this study was to screen and identify early candidate biomarkers of non–small cell lung cancer. Thirteen non–small cell lung cancer samples were obtained within 30 minutes after a surgical resection. Laser capture microdissection was performed to enrich the normal lung cell and squamous metaplasia or atypical adenomatous hyperplasia cell populations. The resulting tandem mass spectrum was automatically searched for proteins against International Protein Index (IPI) human protein database using the TurboSEQUEST searching engine. The molecular function and biological processes of identified proteins were determined based on universal bioinformatics tools. The 2 proteins of interest, focal adhesion kinase and C-terminal Src kinase, were validated using Western blot method. A total of 863 proteins were identified by automatically searching the tandem mass spectrum, among which 427 were dysregulated expression in premalignant airway epithelium compared with those of normal lung cells. The 427 proteins were mainly distributed in 24 sorts of cellular components, 22 molecular function, 15 biological processes, and 10 significant perturbations of pathways. The most significant network included 48 genes and was related to energy production, cell cytoskeleton, cell adhesion, metabolism, oxidative stress, and small molecule biochemistry. Focal adhesion kinase and C-terminal Src kinase were significantly overexpressed in premalignant lung lesion cells compared with the normal lung cells in 13 cases. We identified that there were 427 proteins involved in non–small cell lung cancer carcinogenic process and confirmed the key biological pathways in premalignant lung tissue. The significantly upregulated focal adhesion kinase and C-terminal Src kinase could be considered as molecular biomarkers for early diagnosis and prognosis of non–small cell lung cancer. … (more)
- Is Part Of:
- Technology in cancer research & treatment. Volume 16:Number 1(2017:Feb.)
- Journal:
- Technology in cancer research & treatment
- Issue:
- Volume 16:Number 1(2017:Feb.)
- Issue Display:
- Volume 16, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 16
- Issue:
- 1
- Issue Sort Value:
- 2017-0016-0001-0000
- Page Start:
- 66
- Page End:
- 74
- Publication Date:
- 2017-02
- Subjects:
- NSCLC -- early diagnosis -- biomarkers -- proteomics -- FAK -- C-Src
Oncology -- Periodicals
Cancer -- Diagnosis -- Periodicals
Cancer -- Treatment -- Technological innovations -- Periodicals
616.994 - Journal URLs:
- http://tct.sagepub.com/ ↗
http://www.tcrt.org ↗
http://www.sagepub.com ↗ - DOI:
- 10.1177/1533034615627391 ↗
- Languages:
- English
- ISSNs:
- 1533-0346
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7592.xml