Interpretation of cancer mutations using a multiscale map of protein systems-Reference-Cited by-同舟云学术

Interpretation of cancer mutations using a multiscale map of protein systems

Published:2021-10 Issue:6563 Volume:374 Page:
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Zheng Fan¹²^ORCID,Kelly Marcus R.¹²^ORCID,Ramms Dana J.²³⁴^ORCID,Heintschel Marissa L.⁵^ORCID,Tao Kai⁶⁷,Tutuncuoglu Beril²⁸⁹¹⁰^ORCID,Lee John J.¹^ORCID,Ono Keiichiro¹^ORCID,Foussard Helene⁸⁹¹⁰^ORCID,Chen Michael¹^ORCID,Herrington Kari A.¹¹^ORCID,Silva Erica¹^ORCID,Liu Sophie N.¹^ORCID,Chen Jing¹,Churas Christopher¹^ORCID,Wilson Nicholas¹,Kratz Anton¹²^ORCID,Pillich Rudolf T.¹²,Patel Devin N.¹²^ORCID,Park Jisoo¹²^ORCID,Kuenzi Brent¹²^ORCID,Yu Michael K.¹^ORCID,Licon Katherine¹²,Pratt Dexter¹^ORCID,Kreisberg Jason F.¹²^ORCID,Kim Minkyu²⁸⁹¹⁰^ORCID,Swaney Danielle L.²⁸⁹¹⁰^ORCID,Nan Xiaolin⁶⁷¹²^ORCID,Fraley Stephanie I.⁵^ORCID,Gutkind J. Silvio²³⁴^ORCID,Krogan Nevan J.²⁸⁹¹⁰^ORCID,Ideker Trey¹²³⁵^ORCID

Affiliation:

1. Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA.

2. Cancer Cell Map Initiative (CCMI), La Jolla, CA, USA.

3. Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA.

4. Department of Pharmacology, University of California San Diego, La Jolla, CA 92093, USA.

5. Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.

6. Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA.

7. Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR 97201, USA.

8. Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA.

9. J. David Gladstone Institutes, San Francisco, CA 94158, USA.

10. Quantitative Biosciences Institute, University of California, San Francisco, CA 94158, USA.

11. Department of Biochemistry and Biophysics Center for Advanced Light Microscopy at UCSF, University of California, San Francisco, CA 94158, USA.

12. Knight Cancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR 97201, USA.

Abstract

Mapping protein interactions driving cancer Cancer is a genetic disease, and much cancer research is focused on identifying carcinogenic mutations and determining how they relate to disease progression. Three papers demonstrate how mutations are processed through networks of protein interactions to promote cancer (see the Perspective by Cheng and Jackson). Swaney et al . focus on head and neck cancer and identify cancer-enriched interactions, demonstrating how point mutant–dependent interactions of PIK3CA, a kinase frequently mutated in human cancers, are predictive of drug response. Kim et al . focus on breast cancer and identify two proteins functionally connected to the tumor-suppressor gene BRCA1 and two proteins that regulate PIK3CA. Zheng et al . developed a statistical model that identifies protein networks that are under mutation pressure across different cancer types, including a complex bringing together PIK3CA with actomyosin proteins. These papers provide a resource that will be helpful in interpreting cancer genomic data. —VV

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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