Literature DB >> 21964283

Proteomics for identifying mechanisms and biomarkers of drug resistance in cancer.

Xin-Hui Li1, Cui Li, Zhi-Qiang Xiao.   

Abstract

A major problem in chemotherapy of cancer patients is drug resistance as well as unpredictable response to treatment. During chemotherapy, multiple alterations of genetics and epigenetics that contribute to chemoresistance take place, eventually impacting on disease outcome. A more complex picture of the mechanisms of drug resistance is now emerging through application of high-throughput proteomics technology. We have entered an exciting time where proteomics are being applied to characterize the mechanisms of drug resistance, and to identify biomarkers for predicting response to chemotherapy, thereby leading to personalized therapeutic strategies of cancer patients. Comparative proteomics have identified a large number of differentially expressed proteins associated with chemoresistance. Although roles and mechanisms of such proteins in chemoresistance need to be further proved, at least some of them may be potential biomarkers for predicting chemotherapeutic response. Herein, we review the recent advancements on proteomic investigation of chemoresistance in human cancer, and emphasize putative biomarkers for predicting chemotherapeutic response and possible mechanisms of chemoresistance identified through proteomic approaches. Suggested avenues for future work are discussed.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21964283     DOI: 10.1016/j.jprot.2011.09.004

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  8 in total

1.  Identification of potential predictive markers of dexamethasone resistance in childhood acute lymphoblastic leukemia.

Authors:  Nasrin Dehghan-Nayeri; Mostafa Rezaei-Tavirani; Mir Davood Omrani; Ahmad Gharehbaghian; Kourosh Goudarzi Pour; Peyman Eshghi
Journal:  J Cell Commun Signal       Date:  2016-10-24       Impact factor: 5.782

2.  hnRNPA1 couples nuclear export and translation of specific mRNAs downstream of FGF-2/S6K2 signalling.

Authors:  Rajat Roy; Danielle Durie; Hui Li; Bing-Qian Liu; John Mark Skehel; Francesco Mauri; Lucia Veronica Cuorvo; Mattia Barbareschi; Lin Guo; Martin Holcik; Michael J Seckl; Olivier E Pardo
Journal:  Nucleic Acids Res       Date:  2014-10-16       Impact factor: 16.971

3.  Proteomic approach toward determining the molecular background of pazopanib resistance in synovial sarcoma.

Authors:  Zhiwei Qiao; Kumiko Shiozawa; Tadashi Kondo
Journal:  Oncotarget       Date:  2017-11-28

4.  Annexin A2 could enhance multidrug resistance by regulating NF-κB signaling pathway in pediatric neuroblastoma.

Authors:  Yi Wang; Kai Chen; Yihong Cai; Yuanxia Cai; Xiaojun Yuan; Lifeng Wang; Zhixiang Wu; Yeming Wu
Journal:  J Exp Clin Cancer Res       Date:  2017-08-16

5.  SILAC-Based Quantitative Proteomic Analysis of Oxaliplatin-Resistant Pancreatic Cancer Cells.

Authors:  Young Eun Kim; Eun-Kyung Kim; Min-Jeong Song; Tae-Young Kim; Ho Hee Jang; Dukjin Kang
Journal:  Cancers (Basel)       Date:  2021-02-10       Impact factor: 6.639

Review 6.  Advances in the proteomic discovery of novel therapeutic targets in cancer.

Authors:  Shanchun Guo; Jin Zou; Guangdi Wang
Journal:  Drug Des Devel Ther       Date:  2013-10-24       Impact factor: 4.162

7.  Targeted Proteomics to Assess the Response to Anti-Angiogenic Treatment in Human Glioblastoma (GBM).

Authors:  Kevin Demeure; Fred Fack; Elodie Duriez; Katja Tiemann; Amandine Bernard; Anna Golebiewska; Sébastien Bougnaud; Rolf Bjerkvig; Bruno Domon; Simone P Niclou
Journal:  Mol Cell Proteomics       Date:  2015-08-04       Impact factor: 5.911

8.  Sequenced Combinations of Cisplatin and Selected Phytochemicals towards Overcoming Drug Resistance in Ovarian Tumour Models.

Authors:  Safiah Ibrahim Althurwi; Jun Q Yu; Philip Beale; Fazlul Huq
Journal:  Int J Mol Sci       Date:  2020-10-12       Impact factor: 5.923

  8 in total

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