Cancer biomarker discovery for cholangiocarcinoma: the high-throughput approaches.
Cancer biomarker discovery for cholangiocarcinoma: the high-throughput approaches.
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DOI:
10.1002/jhbp.68
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发表时间:
2014-06
影响因子:
3
通讯作者:
Wongkham, Chaisiri
中科院分区:
文献类型:
--
作者:
Silsirivanit, Atit;Sawanyawisuth, Kanlayanee;Riggins, Gregory J.;Wongkham, Chaisiri
Cholangiocarcinoma (CCA) is difficult to diagnose at an early stage and most tumors are detected at late stage where surgery or other therapy is ineffective. Many advanced techniques are applied to diagnose CCA; however, most are expensive and have varying degrees of accuracy. A less invasive and simpler procedure such as serum markers would be of substantial clinical benefit for diagnosis, monitoring, and predicting outcome for CCA patients. Recent advances in “Omics” technologies offer remarkable opportunities for establishment of biomarker-related to diseases. In this review, the potential biomarkers obtained from proteomics and glycomic studies are evaluated. Several protein markers were discovered from patient specimen, using two dimensional-differential gel electrophoresis couple with liquid chromatography tandem mass spectrometry (2D-DIGE/LC-MS-MS), matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF-MS), surface enhanced laser desorption/ionization (SELDI)-TOF-MS and capillary electrophoresis (CE)-MS, etc. Newly reported CCA-associated glycobiomarkers were identified using lectin-assisted, monoclonal antibody-assisted or specific-target strategies. The combination between carbohydrate binding-lectin and core protein-binding mAb significantly increased the values for detection of the glyco-biomarkers for CCA. Searching for specific and sensitive molecular markers to be used for population screening is worth being evaluated. This could lead to earlier diagnosis and improve outcome. Further investigation of those biomarker functions is also of value in order to better understand the tumor biology and use them as targets for future therapeutic agents.
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影响因子:
4.4
作者:
Kristiansen, Troels Zakarias;Harsha, H. C.;Gronborg, Mads;Maitra, Anirban;Pandey, Akhilesh
通讯作者:
Pandey, Akhilesh
DOI:
10.1002/prca.201200134
发表时间:
2013-10
期刊:
Proteomics. Clinical applications
影响因子:
--
作者:
Nyalwidhe JO;Betesh LR;Powers TW;Jones EE;White KY;Burch TC;Brooks J;Watson MT;Lance RS;Troyer DA;Semmes OJ;Mehta A;Drake RR
通讯作者:
Drake RR
影响因子:
--
作者:
Darby, Ian A.;Vuillier-Devillers, Karine;Desmouliere, Alexis
通讯作者:
Desmouliere, Alexis
影响因子:
13.5
作者:
Jinawath, Natini;Chamgramol, Yaovalux;Nakamura, Yusuke
通讯作者:
Nakamura, Yusuke
影响因子:
24.5
作者:
Metzger, Jochen;Negm, Ahmed A.;Lankisch, Tim O.
通讯作者:
Lankisch, Tim O.