Literature DB >> 19210125

Proteomic approaches in lung cancer biomarker development.

Je-Yoel Cho1, Hye-Jin Sung.   

Abstract

Biomarker discovery is one of the newly emerging innovations in the diagnosis and treatment of cancer and many other diseases. Many research groups and large pharmaceutical companies are actively engaged in searching for novel biomarkers for malignant diseases, which will make molecular analysis and monitoring of disease possible. Many technologies, including genomics, proteomics and metabolomics, are used to identify biomarkers. Among the many types of cancers and diseases, lung cancer--owing to the difficulty in diagnosing the disease at an early stage--urgently needs development of novel biomarkers as tools for early diagnosis and detection, as well as disease monitoring. Several DNA and protein biomarkers have been identified, but most previously discovered biomarkers are correlated with the general process of carcinogenesis and immune responses. Therefore, many of these biomarkers are found in other types of cancers, and thus are not specific to lung cancer. Therefore, novel lung cancer biomarker discovery is still needed, and among the many possible types of samples, blood is thought to be ideal for this discovery as it can be collected easily in a minimally invasive manner. Therefore, many studies are now being conducted to find lung cancer biomarkers in the blood. With advances in methods and technology, together with the considerable efforts to find early and novel diagnostic lung cancer biomarkers, many candidates will be discovered; leading to early diagnosis, detection, monitoring and efficient treatment of lung cancers.

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Year:  2009        PMID: 19210125     DOI: 10.1586/14789450.6.1.27

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  6 in total

1.  Circulating MACC1 as a novel diagnostic and prognostic biomarker for nonsmall cell lung cancer.

Authors:  Zhiqiang Wang; Ming Cai; Yuan Weng; Fang Zhang; Dong Meng; Jun Song; Huan Zhou; Zongtao Xie
Journal:  J Cancer Res Clin Oncol       Date:  2014-12-28       Impact factor: 4.553

2.  ELMO3 is a novel biomarker for diagnosis and prognosis of non-small cell lung cancer.

Authors:  Wei Fan; Haikou Yang; Hong Xue; Yong Sun; Jun Zhang
Journal:  Int J Clin Exp Pathol       Date:  2015-05-01

3.  Establishment and verification of a prediction model based on clinical characteristics and positron emission tomography/computed tomography (PET/CT) parameters for distinguishing malignant from benign ground-glass nodules.

Authors:  Rong Niu; Xiaonan Shao; Xiaoliang Shao; Zhenxing Jiang; Jianfeng Wang; Yuetao Wang
Journal:  Quant Imaging Med Surg       Date:  2021-05

4.  Impact of protein stability, cellular localization, and abundance on proteomic detection of tumor-derived proteins in plasma.

Authors:  Qiaojun Fang; Kian Kani; Vitor M Faca; Wenxuan Zhang; Qing Zhang; Anjali Jain; Sam Hanash; David B Agus; Martin W McIntosh; Parag Mallick
Journal:  PLoS One       Date:  2011-07-29       Impact factor: 3.240

5.  Additional diagnostic value of tumor markers in cytological fluid for diagnosis of non-small-cell lung cancer.

Authors:  Jin Hur; Hye-Jeong Lee; Ji Eun Nam; Young Jin Kim; Yoo Jin Hong; Hee Yeong Kim; Se Kyu Kim; Joon Chang; Joo-Hang Kim; Kyung Young Chung; Hye Sun Lee; Byoung Wook Choi
Journal:  BMC Cancer       Date:  2012-09-07       Impact factor: 4.430

Review 6.  The impact of growth hormone on proteomic profiles: a review of mouse and adult human studies.

Authors:  Silvana Duran-Ortiz; Alison L Brittain; John J Kopchick
Journal:  Clin Proteomics       Date:  2017-06-29       Impact factor: 3.988

  6 in total

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