Use of the serum glycan state to predict ovarian cancer patients' clinical response to chemotherapy treatment-Reference-Cited by-同舟云学术

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

Published:2020-07 Issue: Volume:223 Page:103752
ISSN:1874-3919
Container-title:Journal of Proteomics
language:en
Short-container-title:Journal of Proteomics

Author:

Zhao Ran,Lin Guiling,Wang Yisheng,Qin Wenjun,Gao Tong,Han Jing,Qin Ruihuan,Pan Yiqing,Sun Jie,Ren Changhao,Ren Shifang,Xu Congjian

Funder

Key Technologies Research and Development Program

Publisher

Elsevier BV

Subject

Biochemistry,Biophysics

Reference35 articles.

1. Cancer statistics;Siegel;CA-Cancer J. Clin.,2018

2. Ovarian cancer statistics;Torre;CA-Cancer J. Clin.,2018

3. Effect of screening on ovarian cancer mortality: the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Randomized Controlled Trial;Buys;JAMA,2011

4. Mass spectrometry-based proteomics techniques and their application in ovarian cancer research;Swiatly;J. Ovarian Res.,2018

5. Frequency of symptoms of ovarian cancer in women presenting to primary care clinics;Goff;JAMA,2004

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2. Advancements in protein glycosylation biomarkers for ovarian cancer through mass spectrometry-based approaches;Expert Review of Molecular Diagnostics;2023-12-19

3. Analysis of carbohydrates and glycoconjugates by matrix‐assisted laser desorption/ionization mass spectrometry: An update for 2019–2020;Mass Spectrometry Reviews;2023-02-22

4. An analytical study on the identification of N-linked glycosylation sites using machine learning model;PeerJ Computer Science;2022-09-21

5. Glycan signatures for the identification of cisplatin‐resistant testicular cancer cell lines: Specific glycoprofiling of human chorionic gonadotropin (hCG);Cancer Medicine;2022-01-19

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