Literature DB >> 26802162

Phosphoproteomics in translational research: a sarcoma perspective.

J Noujaim1, L S Payne2, I Judson3, R L Jones3, P H Huang4.   

Abstract

Phosphoproteomics has been extensively used as a preclinical research tool to characterize the phosphorylated components of the cancer proteome. Advances in the field have yielded insights into new drug targets, mechanisms of disease progression and drug resistance, and biomarker discovery. However, application of this technology to clinical research has been challenging because of practical issues relating to specimen integrity and tumour heterogeneity. Beyond these limitations, phosphoproteomics has the potential to play a pivotal role in translational studies and contribute to advances in different tumour groups, including rare disease sites like sarcoma. In this review, we propose that deploying phosphoproteomic technologies in translational research may facilitate the identification of better defined predictive biomarkers for patient stratification, inform drug selection in umbrella trials and identify new combinations to overcome drug resistance. We provide an overview of current phosphoproteomic technologies, such as affinity-based assays and mass spectrometry-based approaches, and discuss their advantages and limitations. We use sarcoma as an example to illustrate the current challenges in evaluating targeted kinase therapies in clinical trials. We then highlight useful lessons from preclinical studies in sarcoma biology to demonstrate how phosphoproteomics may address some of these challenges. Finally, we conclude by offering a perspective and list the key measures required to translate and benchmark a largely preclinical technology into a useful tool for translational research.
© The Author 2016. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  clinical trials; drug resistance; phosphoproteomics; sarcoma; signal transduction

Mesh:

Substances:

Year:  2016        PMID: 26802162     DOI: 10.1093/annonc/mdw030

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  14 in total

1.  Proteomic Profiling Identifies Co-Regulated Expression of Splicing Factors as a Characteristic Feature of Intravenous Leiomyomatosis.

Authors:  Lukas Krasny; Chris P Wilding; Emma Perkins; Amani Arthur; Nafia Guljar; Andrew D Jenks; Cyril Fisher; Ian Judson; Khin Thway; Robin L Jones; Paul H Huang
Journal:  Cancers (Basel)       Date:  2022-06-13       Impact factor: 6.575

Review 2.  Virtual Biopsy in Soft Tissue Sarcoma. How Close Are We?

Authors:  Amani Arthur; Edward W Johnston; Jessica M Winfield; Matthew D Blackledge; Robin L Jones; Paul H Huang; Christina Messiou
Journal:  Front Oncol       Date:  2022-07-01       Impact factor: 5.738

Review 3.  Exploiting receptor tyrosine kinase co-activation for cancer therapy.

Authors:  Aik-Choon Tan; Simon Vyse; Paul H Huang
Journal:  Drug Discov Today       Date:  2016-07-21       Impact factor: 7.851

Review 4.  Advances in mass spectrometry based strategies to study receptor tyrosine kinases.

Authors:  Simon Vyse; Howard Desmond; Paul H Huang
Journal:  IUCrJ       Date:  2017-02-23       Impact factor: 4.769

5.  Integrating phosphoproteomics into the clinical management of prostate cancer.

Authors:  Larry C Cheng; Victor M Tan; Shridar Ganesan; Justin M Drake
Journal:  Clin Transl Med       Date:  2017-02-14

6.  Quantitative phosphoproteomic analysis of acquired cancer drug resistance to pazopanib and dasatinib.

Authors:  Simon Vyse; Frank McCarthy; Malgorzata Broncel; Angela Paul; Jocelyn P Wong; Amandeep Bhamra; Paul H Huang
Journal:  J Proteomics       Date:  2017-08-24       Impact factor: 4.044

Review 7.  Pazopanib in advanced soft tissue sarcomas.

Authors:  Robin L Jones; Paul H Huang; Alex T J Lee
Journal:  Signal Transduct Target Ther       Date:  2019-05-17

8.  Development of cancer prognostic signature based on pan-cancer proteomics.

Authors:  Weiguo Huang; Jianhui Chen; Wanqing Weng; Yukai Xiang; Hongqi Shi; Yunfeng Shan
Journal:  Bioengineered       Date:  2020-12       Impact factor: 3.269

Review 9.  Exploiting vulnerabilities in cancer signalling networks to combat targeted therapy resistance.

Authors:  Peter T Harrison; Paul H Huang
Journal:  Essays Biochem       Date:  2018-10-26       Impact factor: 8.000

Review 10.  The landscape of tyrosine kinase inhibitors in sarcomas: looking beyond pazopanib.

Authors:  Christopher P Wilding; Mark L Elms; Ian Judson; Aik-Choon Tan; Robin L Jones; Paul H Huang
Journal:  Expert Rev Anticancer Ther       Date:  2019-11-13       Impact factor: 4.512

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.