4.4 Review

Biomarkers for the lung cancer diagnosis and their advances in proteomics

期刊

BMB REPORTS
卷 41, 期 9, 页码 615-625

出版社

KOREAN SOCIETY BIOCHEMISTRY & MOLECULAR BIOLOGY
DOI: 10.5483/BMBRep.2008.41.9.615

关键词

biomarkers; diagnosis; lung cancer; proteomics; serum/plasma

资金

  1. Korean Ministry of Education, Science and Technology (MEST) [FPR08A2-120]
  2. Ministry of Knowledge Economy (MKE) [RT104-01-01]
  3. Korea Evaluation Institute of Industrial Technology (KEIT) [B0008463] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  4. National Research Foundation of Korea [전06A1201] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

Over a last decade, intense interest has been focused on biomarker discovery and their clinical uses. This interest is accelerated by the completion of human genome project and the progress of techniques in proteomics. Especially, cancer biomarker discovery is eminent in this field due to its anticipated critical role in early diagnosis, therapy guidance, and prognosis monitoring of cancers. Among cancers, lung cancer, one of the top three major cancers, is the one showing the highest mortality because of failure in early diagnosis. Numerous potential DNA biomarkers such as hypermethylations of the promoters and mutations in K-ras, p53, and protein biomarkers; carcinoembryonic antigen (CEA), CYFRA21-1, plasma kallikrein B1 (KLKB1), Neuron-specific enolase, etc. have been discovered as lung cancer biomarkers. Despite extensive studies thus far, few are turned out to be useful in clinic. Even those used in clinic do not show enough sensitivity, specificity and reproducibility for general use. This review describes what the cancer biomarkers are for, various types of lung cancer biomarkers discovered at present and predicted future advance in lung cancer biomarker discovery with proteomics technology.

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