Use of the serum glycan state to predict ovarian cancer patients' clinical response to chemotherapy treatment

Ovarian cancer is the most lethal gynecologic carcinoma; because the tumor often relapses shortly after treatment. Glycosylation plays important roles in cancer drug resistance and could be used as biomarkers to predict the drug response of patients. We used MALDI-QIT-TOF MS to analyze the serum gly...

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Veröffentlicht in:	Journal of proteomics 2020-07, Vol.223, p.103752, Article 103752
Hauptverfasser:	Zhao, Ran, Lin, Guiling, Wang, Yisheng, Qin, Wenjun, Gao, Tong, Han, Jing, Qin, Ruihuan, Pan, Yiqing, Sun, Jie, Ren, Changhao, Ren, Shifang, Xu, Congjian
Format:	Artikel
Sprache:	eng
Schlagworte:	animal ovaries antineoplastic agents biomarkers blood serum carcinoma Drug resistance drug therapy Glycomic glycomics glycosylation Lewis type glycan Ovarian cancer ovarian neoplasms patients polysaccharides prediction relapse sialic acid
Online-Zugang:	Volltext
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