Literature DB >> 32712320

Investigation of cancer drug resistance mechanisms by phosphoproteomics.

Joelle C Boulos1, Muhammad Rahama Yousof Idres1, Thomas Efferth2.   

Abstract

Cancer cell mutations can be identified by genomic and transcriptomic techniques. However, they are not sufficient to understand the full complexity of cancer heterogeneity. Analyses of proteins expressed in cancers and their modification profiles show how these mutations could be translated at the functional level. Protein phosphorylation is a major post-translational modification critical for regulating several cellular functions. The covalent addition of phosphate groups to serine, threonine, and tyrosine is catalyzed by protein kinases. Over the past years, kinases were strongly associated with cancer, thus inhibition of protein kinases emanated as novel cancer treatment. However, cancers frequently develop drug resistance. Therefore, a better understanding of drug effects on tumors is urgently needed. In this perspective, phosphoproteomics arose as advanced tool to monitor cancer therapies and to discover novel drugs. This review highlights the role of phosphoproteomics in predicting sensitivity or resistance of cancers towards tyrosine kinase inhibitors and cytotoxic drugs. It also shows the importance of phosphoproteomics in identifying biomarkers that could be applied in clinical diagnostics to predict responses to drugs.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer; Chemotherapy; Drug resistance; Phosphorylation; Proteomics

Year:  2020        PMID: 32712320     DOI: 10.1016/j.phrs.2020.105091

Source DB:  PubMed          Journal:  Pharmacol Res        ISSN: 1043-6618            Impact factor:   7.658


  3 in total

Review 1.  The active kinome: The modern view of how active protein kinase networks fit in biological research.

Authors:  Khaled Alganem; Abdul-Rizaq Hamoud; Justin F Creeden; Nicholas D Henkel; Ali S Imami; Alex W Joyce; William G Ryan V; Jacob B Rethman; Rammohan Shukla; Sinead M O'Donovan; Jarek Meller; Robert McCullumsmith
Journal:  Curr Opin Pharmacol       Date:  2021-12-27       Impact factor: 4.768

Review 2.  Mitochondrial adaptation in cancer drug resistance: prevalence, mechanisms, and management.

Authors:  Ping Jin; Jingwen Jiang; Li Zhou; Zhao Huang; Edouard C Nice; Canhua Huang; Li Fu
Journal:  J Hematol Oncol       Date:  2022-07-18       Impact factor: 23.168

Review 3.  Mass Spectrometric-Based Proteomics for Biomarker Discovery in Osteosarcoma: Current Status and Future Direction.

Authors:  Nutnicha Sirikaew; Dumnoensun Pruksakorn; Parunya Chaiyawat; Somchai Chutipongtanate
Journal:  Int J Mol Sci       Date:  2022-08-28       Impact factor: 6.208

  3 in total

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