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Research Progress in Applying Proteomics Technology to Explore Early Diagnosis Biomarkers of Breast Cancer, Lung Cancer and Ovarian Cancer

  • Luo, Lu (College of Veterinary Medicine, Sichuan Agricultural University) ;
  • Dong, Li-You (Quarantine of Animals and Plants, Sichuan Agricultural University) ;
  • Yan, Qi-Gui (College of Veterinary Medicine, Sichuan Agricultural University) ;
  • Cao, San-Jie (College of Veterinary Medicine, Sichuan Agricultural University) ;
  • Wen, Xin-Tian (College of Veterinary Medicine, Sichuan Agricultural University) ;
  • Huang, Yong (College of Veterinary Medicine, Sichuan Agricultural University) ;
  • Huang, Xiao-Bo (College of Veterinary Medicine, Sichuan Agricultural University) ;
  • Wu, Rui (College of Veterinary Medicine, Sichuan Agricultural University) ;
  • Ma, Xiao-Ping (College of Veterinary Medicine, Sichuan Agricultural University)
  • 발행 : 2014.11.06

초록

According to the China tumor registry 2013 annual report, breast cancer, lung cancer, and ovarian cancer are three common cancers in China nowadays, with high mortality due to the absence of early diagnosis technology. However, proteomics has been widespreadly implanted into every field of life science and medicine as an important part of post-genomics era research. The development of theory and technology in proteomics has provided new ideas and research fields for cancer research. Proteomics can be used not only for elucidating the mechanisms of carcinogenesis focussing on whole proteins of the tissue or cell, but also seeking the biomarkers for diagnosis and therapy of cancer. In this review, we introduce proteomics principles, covering current technology used in exploring early diagnosis biomarkers of breast cancer, lung cancer and ovarian cancer.

키워드

Proteomics;biomarkers;breast cancer;lung cancer;ovarian cancer

참고문헌

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피인용 문헌

  1. Tumor Infiltrating Lymphocytes in Ovarian Cancer vol.16, pp.9, 2015, https://doi.org/10.7314/APJCP.2015.16.9.3635
  2. MiR-133a is downregulated in non-small cell lung cancer: a study of clinical significance vol.20, pp.1, 2015, https://doi.org/10.1186/s40001-015-0139-z
  3. MicroRNA-155 Hallmarks Promising Accuracy for the Diagnosis of Various Carcinomas: Results from a Meta-Analysis vol.2015, pp.1875-8630, 2015, https://doi.org/10.1155/2015/327287
  4. Optimizing the Detection of Circulating Markers to Aid in Early Lung Cancer Detection vol.8, pp.7, 2016, https://doi.org/10.3390/cancers8070061
  5. Prognostic Value of microRNA-133a Expression and Its Clinicopathologic Significance in Non-Small Cell Lung Cancer: A Comprehensive Study Based on Meta-Analysis and the TCGA Database vol.41, pp.12, 2018, https://doi.org/10.1159/000492343