Literature DB >> 31172665

Cancer Proteomics and the Elusive Diagnostic Biomarkers.

Ralph A Bradshaw1,2, Hubert Hondermarck3, Henry Rodriguez4.   

Abstract

Despite progress in genomic and proteomic technology and applications, the validation of cancer biomarkers of use as clinical early detection diagnostics has remained elusive. As described in this brief viewpoint, there are now recognized to be many types of clinical biomarkers and proteomic analyses, particularly when combined with other 'omic analyses, have been effective in many such biomarker identifications. However, in the area of early diagnosis of cancers, the problems associated with the conversion from identification to diagnostic have largely not been overcome. Notably, the Clinical Proteomic Tumor Analysis Consortium (CPTAC) of the National Cancer Institute (NCI), has been particularly successful in refining the analytical steps needed to tackle this challenging issue and has provided positive insight into how to solve many of the underlying problems. The potential for developing clinical diagnostics for early detection of highly lethal cancers and possible new therapeutic strategies through proteomic analyses, as seen through these CPTAC successes, is more promising than ever.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  biomarkers; cancer; early detection diagnostics; genomics; metabolomics; proteomics

Mesh:

Substances:

Year:  2019        PMID: 31172665     DOI: 10.1002/pmic.201800445

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  3 in total

1.  Evaluation of Differential Peptide Loading on Tandem Mass Tag-Based Proteomic and Phosphoproteomic Data Quality.

Authors:  James A Sanford; Yang Wang; Joshua R Hansen; Marina A Gritsenko; Karl K Weitz; Tyler J Sagendorf; Cristina E Tognon; Vladislav A Petyuk; Wei-Jun Qian; Tao Liu; Brian J Druker; Karin D Rodland; Paul D Piehowski
Journal:  J Am Soc Mass Spectrom       Date:  2021-11-23       Impact factor: 3.109

2.  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

3.  Correlation of Repeat Measurements of 27 Candidate Protein Markers for Colorectal Cancer Screening Taken Three Years and Multiple Freeze-Thaw Cycles Apart.

Authors:  Megha Bhardwaj; Petra Schrotz-King; Hermann Brenner
Journal:  Life (Basel)       Date:  2022-03-02
  3 in total

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