Literature DB >> 34021071

Defining the Energetic Basis for a Conformational Switch Mediating Ligand-Independent Activation of Mutant Estrogen Receptors in Breast Cancer.

Christopher G Mayne1, Weiyi Toy2, Kathryn E Carlson3, Trusha Bhatt2, Sean W Fanning4, Geoffrey L Greene4, Benita S Katzenellenbogen5, Sarat Chandarlapaty2, John A Katzenellenbogen6, Emad Tajkhorshid7,3.   

Abstract

Although most primary estrogen receptor (ER)-positive breast cancers respond well to endocrine therapies, many relapse later as metastatic disease due to endocrine therapy resistance. Over one third of these are associated with mutations in the ligand-binding domain (LBD) that activate the receptor independent of ligand. We have used an array of advanced computational techniques rooted in molecular dynamics simulations, in concert with and validated by experiments, to characterize the molecular mechanisms by which specific acquired somatic point mutations give rise to ER constitutive activation. By comparing structural and energetic features of constitutively active mutants and ligand-bound forms of ER-LBD with unliganded wild-type (WT) ER, we characterize a spring force originating from strain in the Helix 11-12 loop of WT-ER, opposing folding of Helix 12 into the active conformation and keeping WT-ER off and disordered, with the ligand-binding pocket open for rapid ligand binding. We quantify ways in which this spring force is abrogated by activating mutations that latch (Y537S) or relax (D538G) the folded form of the loop, enabling formation of the active conformation without ligand binding. We also identify a new ligand-mediated hydrogen-bonding network that stabilizes the active, ligand-bound conformation of WT-ER LBD, and similarly stabilizes the active conformation of the ER mutants in the hormone-free state. IMPLICATIONS: Our investigations provide deep insight into the energetic basis for the structural mechanisms of receptor activation through mutation, exemplified here with ER in endocrine-resistant metastatic breast cancers, with potential application to other dysregulated receptor signaling due to driver mutations. ©2021 The Authors; Published by the American Association for Cancer Research.

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Year:  2021        PMID: 34021071      PMCID: PMC8419021          DOI: 10.1158/1541-7786.MCR-20-1017

Source DB:  PubMed          Journal:  Mol Cancer Res        ISSN: 1541-7786            Impact factor:   5.852


  55 in total

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4.  Automation of the CHARMM General Force Field (CGenFF) I: bond perception and atom typing.

Authors:  K Vanommeslaeghe; A D MacKerell
Journal:  J Chem Inf Model       Date:  2012-11-28       Impact factor: 4.956

5.  Automation of the CHARMM General Force Field (CGenFF) II: assignment of bonded parameters and partial atomic charges.

Authors:  K Vanommeslaeghe; E Prabhu Raman; A D MacKerell
Journal:  J Chem Inf Model       Date:  2012-11-28       Impact factor: 4.956

6.  The Cancer Genome Atlas Pan-Cancer analysis project.

Authors:  John N Weinstein; Eric A Collisson; Gordon B Mills; Kenna R Mills Shaw; Brad A Ozenberger; Kyle Ellrott; Ilya Shmulevich; Chris Sander; Joshua M Stuart
Journal:  Nat Genet       Date:  2013-10       Impact factor: 38.330

Review 7.  Structural underpinnings of oestrogen receptor mutations in endocrine therapy resistance.

Authors:  John A Katzenellenbogen; Christopher G Mayne; Benita S Katzenellenbogen; Geoffrey L Greene; Sarat Chandarlapaty
Journal:  Nat Rev Cancer       Date:  2018-06       Impact factor: 60.716

8.  CHARMM general force field: A force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields.

Authors:  K Vanommeslaeghe; E Hatcher; C Acharya; S Kundu; S Zhong; J Shim; E Darian; O Guvench; P Lopes; I Vorobyov; A D Mackerell
Journal:  J Comput Chem       Date:  2010-03       Impact factor: 3.376

9.  Optimization of the additive CHARMM all-atom protein force field targeting improved sampling of the backbone φ, ψ and side-chain χ(1) and χ(2) dihedral angles.

Authors:  Robert B Best; Xiao Zhu; Jihyun Shim; Pedro E M Lopes; Jeetain Mittal; Michael Feig; Alexander D Mackerell
Journal:  J Chem Theory Comput       Date:  2012-07-18       Impact factor: 6.006

10.  Efficient nonbonded interactions for molecular dynamics on a graphics processing unit.

Authors:  Peter Eastman; Vijay S Pande
Journal:  J Comput Chem       Date:  2010-04-30       Impact factor: 3.376

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