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Discovery of a set of biomarkers of human lung adenocarcinoma through cell-map proteomics and bioinformatics

Medical Oncology volume 27, pages 1398–1406 (2010)Cite this article

Abstract

Carcinogenesis of lung adenocarcinoma remains unclear and very few biomarkers have been accepted for routine clinical use. In order to explore the pathogenesis and screen ideal biomarkers, we conducted cell-map proteomics study in human lung adenocarcinoma. Homogeneous lung adenocarcinoma cells were purified by laser capture microdissection (LCM). A high performance liquid chromatography (HPLC) system was used to separate the total solution proteins. The resulting MS/MS spectra were automatically searched for proteins against IPI human protein database using the TurboSEQUEST searching engine. Physico-chemical properties of the identified proteins, including molecular weight (MW), isoelectric point (PI), were described based on various proteomics web server and statistical analysis. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were used to analyze function of expressed proteins and screen candidate biomarkers according to biological annotation. A total of 843 distinct proteins were identified and were categorized as 10 sorts of molecular function and 17 sorts of biological process based on GO annotation. Further searching against KEGG pathways found that six proteins were involved in WNT signaling pathway, apoptosis pathway, Erb-2 signaling pathway, p53 signaling pathway, ubiquitin-mediated proteolysis and were might be hopefully screened as candidate markers of lung adenocarcinoma. The present study through LCM and cell-map proteomics showed a full view on the expressed protein profiles of lung adenocarcinoma. Several candidate markers are hopeful to be used as molecular targets of diagnosis, treatment and prognosis of lung adenocarcinoma.

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Affiliations

  1. Department of Respiratory Disease, Tangdu Hospital, Fourth Military Medical University, 710038, Xi’an, Shaanxi Province, People’s Republic of China

    Yandong Nan, Faguang Jin, Yonghong Xie & Enqing Fu

  2. Department of Respiratory Medicine, Second Affiliated Hospital of Medical School, Xi’an Jiaotong University, Xi’an, Shaanxi Province, People’s Republic of China

    Shuanying Yang & Yingxuan Tian

  3. ZhongXin Biotechology Shanghai Co., LTD, Shanghai, People’s Republic of China

    Hong Yu

Authors
  1. Yandong Nan
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  2. Faguang Jin
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  3. Shuanying Yang
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  4. Yingxuan Tian
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  5. Yonghong Xie
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  6. Enqing Fu
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  7. Hong Yu
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Correspondence to Faguang Jin.

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Nan, Y., Jin, F., Yang, S. et al. Discovery of a set of biomarkers of human lung adenocarcinoma through cell-map proteomics and bioinformatics. Med Oncol 27, 1398–1406 (2010). https://doi.org/10.1007/s12032-009-9393-7

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  • DOI: https://doi.org/10.1007/s12032-009-9393-7

Keywords

  • Lung adenocarcinoma
  • Laser capture microdissection
  • Proteomics
  • Bioinformatics
  • Biomarkers