Identification of serum biomarkers for lung cancer using protein mass spectrometry

Li,Xin; Liu,Weixing; Dong,Baowei; Sheng,Lin; Ren,He; Han,Zhiyu; Lu,Tong; Liang,Ping

doi:10.3892/mmr.2012.955

September 2012 Volume 6 Issue 3

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September 2012 Volume 6 Issue 3

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Article

Identification of serum biomarkers for lung cancer using protein mass spectrometry

Authors:
- Xin Li
- Weixing Liu
- Baowei Dong
- Lin Sheng
- He Ren
- Zhiyu Han
- Tong Lu
- Ping Liang
View Affiliations / Copyright

Affiliations: Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing 100853, P.R. China , Department of Ultrasound, Chinese General Hospital of Armed Police Forces, Beijing 100039, P.R. China
Pages: 531-534
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Published online on: June 18, 2012

https://doi.org/10.3892/mmr.2012.955
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Abstract

Prior to pathological changes becoming apparent in any disease, the component and amount of intracellular proteins may undergo alteration. Thus, monitoring of proteins may be used to screen indicators in order to identify prognostic markers. The aim of this study was to investigate the feasibility of identification of serum biomarkers for lung cancer using protein mass spectrometry. Surface-enhanced laser desorption/ionization (SELDI) and weak cation exchange 2 (WCX2) protein chip array were employed for protein profiling of the sera of 17 healthy rabbits and 23 cancer‑bearing rabbits, of which 15 developed cancer in the lung (cancer group) and 8 developed lung cancer in the follow-up period (pre-cancer group). Data were obtained using a PBSII-C protein chip reader and analyzed using Biomarker Wizard and Proteinchip 3.1 software. Compared with the healthy rabbits, a total of 5 biomarkers were identified to be differentially expressed among 32 proteins screened from the sera in the cancer group and the pre-cancer group (P<0.05): 3 of the 5 biomarkers were upregulated and 2 were downregulated. Protein mass spectrometry can be used to identify specific molecules closely correlated with the progression of lung cancer and, thus, this method may become an effective tool for the early diagnosis or prediction of lung cancer.

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Journals

International Journal of Molecular Medicine

International Journal of Oncology

Molecular Medicine Reports

Oncology Reports

Experimental and Therapeutic Medicine

Oncology Letters

Biomedical Reports

Molecular and Clinical Oncology

World Academy of Sciences Journal

International Journal of Functional Nutrition

International Journal of Epigenetics

Medicine International

Identification of serum biomarkers for lung cancer using protein mass spectrometry

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Abstract

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