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Published on: June 30, 2023
Widespread alteration of protein autoinhibition in human cancers
Jorge A Holguin-Cruz1, Jennifer M Bui1, Ashwani Jha1
1Michael Smith Laboratories, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Abstract:
Autoinhibition is a prevalent allosteric regulatory mechanism in signaling proteins. Reduced autoinhibition underlies the tumorigenic effect of some known cancer drivers, but whether autoinhibition is altered generally in cancer remains elusive. Here, we demonstrate that cancer-associated missense mutations, in-frame insertions/deletions, and fusion breakpoints are enriched within inhibitory allosteric switches (IASs) across all cancer types. Selection for IASs that are recurrently mutated in cancers identifies established and unknown cancer drivers. Recurrent missense mutations in IASs of these drivers are associated with distinct, cancer-specific changes in molecular signaling. For the specific case of PPP3CA, the catalytic subunit of calcineurin, we provide insights into the molecular mechanisms of altered autoinhibition by cancer mutations using biomolecular simulations, and demonstrate that such mutations are associated with transcriptome changes consistent with increased calcineurin signaling. Our integrative study shows that autoinhibition-modulating genetic alterations are positively selected for by cancer cells.
Insights
Cancer cells exploit genetic alterations in protein autoinhibition switches. These changes, particularly in inhibitory allosteric switches (IASs), drive cancer progression and identify new cancer drivers.
Area of Science:
- Molecular Biology
- Cancer Genomics
- Biophysics
Background:
- Autoinhibition is a key regulatory mechanism in signaling proteins.
- Reduced autoinhibition is linked to cancer, but its general role is unclear.
Purpose of the Study:
- To investigate if autoinhibition is broadly altered in cancer.
- To identify cancer drivers through mutations in inhibitory allosteric switches (IASs).
Main Methods:
- Analysis of cancer-associated mutations (missense, indels, fusions) across cancer types.
- Identification of recurrently mutated IASs.
- Biomolecular simulations for PPP3CA (calcineurin) mutations.
- Transcriptome analysis.
Main Results:
- Cancer mutations are enriched in IASs across all cancer types.
- Recurrent IAS mutations identify known and novel cancer drivers.
- Mutations in PPP3CA's IAS alter autoinhibition, increasing calcineurin signaling and impacting the transcriptome.
Conclusions:
- Genetic alterations affecting protein autoinhibition are positively selected in cancer.
- IASs are critical regulatory elements frequently targeted in cancer development.
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