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Proteogenomics drives therapeutic hypothesis generation for precision oncology

British Journal of Cancer volume 125, pages 1–3 (2021)Cite this article

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Summary

Precision oncology has largely been driven by genomic profiling, but success so far has been limited. By combining genomic and proteomic analyses of tumours, proteogenomics holds promise in providing deeper mechanistic insights and generating therapeutic hypotheses to better match patients to targeted treatments than analysing each ‘ome in isolation.

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Fig. 1: Proteogenomics drives therapeutic hypothesis generation for precision oncology.

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Authors and Affiliations

  1. Lester and Sue Smith Breast Center, Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, TX, USA

    Jonathan T. Lei & Bing Zhang

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  1. Jonathan T. Lei
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  2. Bing Zhang
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Contributions

J.T.L. and B.Z. drafted and revised the paper and approved the final version for publication.

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Correspondence to Bing Zhang.

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The authors declare no competing interests.

Funding information

This work was supported by grants U24 CA210954 from the National Cancer Institute (NCI) Clinical Proteomic Tumor Analysis Consortium (CPTAC), by a Cancer Prevention Institute of Texas (CPRIT) award RR160027, and by funding from the McNair Foundation. J.T.L is supported by grant T32 CA203690 from the Translational Breast Cancer Research Training Program. B.Z. is a CPRIT Scholar in Cancer Research and McNair Medical Institute Scholar.

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Lei, J.T., Zhang, B. Proteogenomics drives therapeutic hypothesis generation for precision oncology. Br J Cancer 125, 1–3 (2021). https://doi.org/10.1038/s41416-021-01346-5

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