Cited by 48PI3K/AKT/mTOR signaling in cancerCancer Genomics and DiagnosticsGenomics and Rare Diseases

Integrating thousands of PTEN variant activity and abundance measurements reveals variant subgroups and new dominant negatives in cancers

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Matreyek, Kenneth A., Stephany, Jason J., Ahler, Ethan, Fowler, Douglas M.·2021·Genome Medicine

Abstract

Background: PTEN is a multi-functional tumor suppressor protein regulating cell growth, immune signaling, neuronal function, and genome stability. Experimental characterization can help guide the clinical interpretation of the thousands of germline or somatic PTEN variants observed in patients. Two large-scale mutational datasets, one for PTEN variant intracellular abundance encompassing 4112 missense variants and one for lipid phosphatase activity encompassing 7244 variants, were recently published. The combined information from these datasets can reveal variant-specific phenotypes that may underlie various clinical presentations, but this has not been comprehensively examined, particularly for somatic PTEN variants observed in cancers. Methods: Here, we add to these efforts by measuring the intracellular abundance of 764 new PTEN variants and refining abundance measurements for 3351 previously studied variants. We use this expanded and refined PTEN abundance dataset to explore the mutational patterns governing PTEN intracellular abundance, and then incorporate the phosphatase activity data to subdivide PTEN variants into four functionally distinct groups. Results: This analysis revealed a set of highly abundant but lipid phosphatase defective variants that could act in a dominant-negative fashion to suppress PTEN activity. Two of these variants were, indeed, capable of dysregulating Akt signaling in cells harboring a WT PTEN allele. Both variants were observed in multiple breast or uterine tumors, demonstrating the disease relevance of these high abundance, inactive variants. Conclusions: We show that multidimensional, large-scale variant functional data, when paired with public cancer genomics datasets and follow-up assays, can improve understanding of uncharacterized cancer-associated variants, and provide better insights into how they contribute to oncogenesis.

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  • By amplifying and sequencing barcodes from each bin and using a predetermined barcode-variant index, a functional score can be computed for each variant.

    “By amplifying barcodes and sequencing them from each bin, then using the predetermined barcode-variant index to determine the distribution of each variant across bins, a functional score can be computed for each variant (e.g. (59, 92, 93)).”

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Cited by

Sorted by citations

Authors
Matreyek, K. A., Stephany, J. J., Ahler, E., & Fowler, D. M.
Affiliations
University of Washington (US)
Corresponding author
  • Matreyek, Kenneth A.
  • Fowler, Douglas M.
Venue
Genome Medicine
Published
2021-10-14
Volume
13
Issue
1
Pages
165-165
ISSN
1756-994X (ISSN-L)
OpenAlex
W3205136345
Cited by
48
References
2
Citations by year
2026: 20 · 2025: 9 · 2024: 13 · 2023: 4 · 2022: 2
FWCI
1.57
Type
journal article
Language
en
Open access
Locations
  • Genome Medicine (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Institute of General Medical Sciences (R35GM142886, R01GM109110, RM1HG010461)
  • American Cancer Society (PF-15-221-01)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
Keywords
PTEN, somatic mutations, lipid phosphatase activity, dominant-negative mutant, tumor suppressor, Akt signaling, breast cancer, uterine cancer, cancer genomics
MeSH terms
Humans, Mutation, Neoplasms, Phenotype, Genetic Variation, Gene Expression Regulation, Neoplastic, Germ-Line Mutation, Mutation, Missense, Genomics, PTEN Phosphohydrolase, HEK293 Cells

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