Literature DB >> 28286965

Harnessing the power of proteomics for identification of oncogenic, druggable signalling pathways in cancer.

Heather C Murray1,2, Matthew D Dun1,2, Nicole M Verrills1,2.   

Abstract

INTRODUCTION: Genomic and transcriptomic profiling of tumours has revolutionised our understanding of cancer. However, the majority of tumours possess multiple mutations, and determining which oncogene, or even which pathway, to target is difficult. Proteomics is emerging as a powerful approach to identify the functionally important pathways driving these cancers, and how they can be targeted therapeutically. Areas covered: The authors provide a technical overview of mass spectrometry based approaches for proteomic profiling, and review the current and emerging strategies available for the identification of dysregulated networks, pathways, and drug targets in cancer cells, with a key focus on the ability to profile cancer kinomes. The potential applications of mass spectrometry in the clinic are also highlighted. Expert opinion: The addition of proteomic information to genomic platforms - 'proteogenomics' - is providing unparalleled insight in cancer cell biology. Application of improved mass spectrometry technology and methodology, in particular the ability to analyse post-translational modifications (the PTMome), is providing a more complete picture of the dysregulated networks in cancer, and uncovering novel therapeutic targets. While the application of proteomics to discovery research will continue to rise, improved workflow standardisation and reproducibility is required before mass spectrometry can enter routine clinical use.

Entities:  

Keywords:  Cancer; PTMome; drug discovery; kinome; mass spectrometry; proteogenomics; proteomics

Mesh:

Substances:

Year:  2017        PMID: 28286965     DOI: 10.1080/17460441.2017.1304377

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  6 in total

Review 1.  Recent advances in methods to assess the activity of the kinome.

Authors:  Maria Radu; Jonathan Chernoff
Journal:  F1000Res       Date:  2017-06-26

2.  Quantitative proteomic analysis of prostate tissue specimens identifies deregulated protein complexes in primary prostate cancer.

Authors:  Bo Zhou; Yiwu Yan; Yang Wang; Sungyong You; Michael R Freeman; Wei Yang
Journal:  Clin Proteomics       Date:  2019-04-13       Impact factor: 3.988

Review 3.  Can Hemp Help? Low-THC Cannabis and Non-THC Cannabinoids for the Treatment of Cancer.

Authors:  Farjana Afrin; Mengna Chi; Andrew L Eamens; Ryan J Duchatel; Alicia M Douglas; Jennifer Schneider; Craig Gedye; Ameha S Woldu; Matthew D Dun
Journal:  Cancers (Basel)       Date:  2020-04-23       Impact factor: 6.639

4.  Cell-Free DNA Blood Collection Tubes Are Appropriate for Clinical Proteomics: A Demonstration in Colorectal Cancer.

Authors:  Juhura G Almazi; Peter Pockney; Craig Gedye; Nathan D Smith; Hubert Hondermarck; Nicole M Verrills; Matthew D Dun
Journal:  Proteomics Clin Appl       Date:  2018-03-30       Impact factor: 3.494

Review 5.  Targeting Oncogenic Signaling in Mutant FLT3 Acute Myeloid Leukemia: The Path to Least Resistance.

Authors:  Dilana Staudt; Heather C Murray; Tabitha McLachlan; Frank Alvaro; Anoop K Enjeti; Nicole M Verrills; Matthew D Dun
Journal:  Int J Mol Sci       Date:  2018-10-16       Impact factor: 5.923

6.  Kinase shRNA screening reveals that TAOK3 enhances microtubule-targeted drug resistance of breast cancer cells via the NF-κB signaling pathway.

Authors:  Tsung-Ching Lai; Chih-Yeu Fang; Yi-Hua Jan; Hsiao-Ling Hsieh; Yi-Fang Yang; Chun-Yu Liu; Peter Mu-Hsin Chang; Michael Hsiao
Journal:  Cell Commun Signal       Date:  2020-10-21       Impact factor: 5.712

  6 in total

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