The SERM/SERD bazedoxifene disrupts ESR1 helix 12 to overcome acquired hormone resistance in breast cancer cells

  1. Sean W Fanning
  2. Rinath Jeselsohn
  3. Venkatasubramanian Dharmarajan
  4. Christopher G Mayne
  5. Mostafa Karimi
  6. Gilles Buchwalter
  7. René Houtman
  8. Weiyi Toy
  9. Colin E Fowler
  10. Ross Han
  11. Muriel Lainé
  12. Kathryn E Carlson
  13. Teresa A Martin
  14. Jason Nowak
  15. Jerome C Nwachukwu
  16. David J Hosfield
  17. Sarat Chandarlapaty
  18. Emad Tajkhorshid
  19. Kendall W Nettles
  20. Patrick R Griffin
  21. Yang Shen
  22. John A Katzenellenbogen
  23. Myles Brown
  24. Geoffrey L Greene  Is a corresponding author
  1. University of Chicago, United States
  2. Dana-Farber Cancer Institute, United States
  3. The Scripps Research Institute, United States
  4. University of Illinois at Urbana-Champaign, United States
  5. Texas A&M University, United States
  6. PamGene International BV, The Netherlands
  7. Memorial Sloan Kettering Cancer Center, United States
8 figures, 4 tables and 1 additional file

Figures

The inhibitory potency of BZA in MCF-7 cells.

(A) ERα transcriptional reporter gene assay in cells treated with BZA, FULV, and 4-OHT. (B) Relative cyclin D1 mRNA levels of in MCF-7 cells treated with E2 plus 4-OHT, FULV, or BZA vehicle and normalized to E2. (C) Relative c-myc mRNA levelsMCF-7 cells treated with E2 plus 4-OHT, FULV, or BZA vehicle and normalized to E2. (D) Relative GREB1 mRNA levels in MCF-7 cells treated with E2 plus 4-OHT, FULV, or BZA vehicle and normalized to E2. (E) Relative CA12 mRNA levels of MCF-7 cells treated with E2 plus 4-OHT, FULV, or BZA vehicle and normalized to E2. (F) ERα degradation in MCF-7 cells with increasing doses of BZA or FULV normalized to β-actin. (G) Inhibition of cell growth with increasing concentrations of BZA, FULV, or 4-OHT.

https://doi.org/10.7554/eLife.37161.003
Figure 2 with 2 supplements
The ability of BZA to disrupt Y537S and D538G ERα activity.

(A) Cell growth in MCF-7 cells with DOX-induced Y537S ERα expression. (B) Inhibition of ERα target genes in DOX-induced Y537S ERα expressed MCF-7 cells with increasing doses of BZA. (C) Representative immunoblot of HA-ERα WT, 537S, or D538G treated with E2, 4-OHT, BZA, RAL, or FULV for 24 hr. (D) Representative counts of HA-ERα from the immunoblot normalized to actin.

https://doi.org/10.7554/eLife.37161.006
Figure 2—figure supplement 1
Replicate experiments of HA-ERα levels in MCF-7 cells upon treatment with E2, 4-OHT, RAL, fulvestrant (FULV), or BZA for 24 hr.

(A) Replicate immunoblot to that shown in Figure 1 probing for HA-ERα and actin in MCF-7 cells upon treatment. (B) Counts from immunoblot A normalized to actin. (C) Third replicate immunoblot to that shown in Figure 1 probing for HA-ERα and actin in MCF-7 cells upon treatment. (D) Counts from immunoblot C normalized to actin.

https://doi.org/10.7554/eLife.37161.004
Figure 2—figure supplement 2
BZA-induced degradation of ERα in CAMA-1, MDA-MB-361, T47D, and ZR75-1 breast cancer cell lines.

Numbers along the top indicate concentrations of BZA in nM.

https://doi.org/10.7554/eLife.37161.005
Combination treatment with CDK4/6 inhibitor and BZA.

(A) Cell growth inhibit with MCF7 breast cancer cells. (B) ZR75 breast cancer cells. (C) T47D breast cancer cells. (D) LTED breast cancer cells. (E) Non-induced MCF7 breast cancer cells with a dox-inducible ERα Y537S mutant. (F) MCF7 cells expressing ERα Y537S. (G) Dose-response curves for inhibition of ERα transcriptional activity in the presence of BZA, PALBO, and FULV in MCF7 cells. (H) ERα transcriptional reporter gene assays for combination treatments. (I) ERα stability resulting from combination treatments.

https://doi.org/10.7554/eLife.37161.007
Coactivator recruitment and inhibition of WT, Y537S, and D538G ERα LBD.

(A) EC50 quartiles for cells treated with 4-OHT (red), BZA (blue), or FULV (green). (B) In vitro quantification of the effect of ligands on promoting (E2) or inhibiting (4-OHT, RAL, BZA) the binding of SRC3-NRD to recombinant expressed WT, Y537S, or D538G ERα LBD. To be able to measure a signal from all three receptors, they were first primed with 20 nME2 before adding ligand. IC50 values (nM) are shown next to the legend for each protein.

https://doi.org/10.7554/eLife.37161.008
Figure 5 with 1 supplement
Structural basis for the SERD properties exhibited by BZA.

(A) Overlay of BZA (cyan) with RAL (grey) X-ray crystal structures showing differences in H11-12 loop and H12 orientation. (B) Hydrogen bonds (dashed lines) formed by BZA and RAL in the binding pocket and highlighting differences in H11-12 loop and H12 conformation. PDBs: 1ERR and 4XI3.

https://doi.org/10.7554/eLife.37161.009
Figure 5—figure supplement 1
2│Fo-Fc│difference map of BZA in the ERα ligand binding pocket contoured to 1.5σ.
https://doi.org/10.7554/eLife.37161.010
Figure 6 with 3 supplements
HDX MS for WT, Y537S, and D538G ERα LBD in complex with E2.

Deuterium uptake for each peptide is calculated as the average of % D for the 6 time points (10 s, 30 s, 60 s, 300 s, 900 s and 3600 s), and the difference in average % D values between the Apo-ERα and ERα-E2 bound samples is shown as a heat map with a color code given at the bottom of the figure (warm colors for deprotection and cool colors for protection). Peptides are colored only if they show a > 5% difference (less or more protection) in average deuterium uptake between the two states, and the software employs a paired two-tailed student’s t-test-based coloring scheme (p-value < 0.05 for two consecutive time points or a p-value < 0.01 for a single time point) to distinguish real protection differences from inherent variation in the data. Grey color represents no significant change (0–5%) between the two states.

https://doi.org/10.7554/eLife.37161.011
Figure 6—figure supplement 1
HDX MS for WT and D538G ERα LBD in complex with FULV.

Deuterium uptake for each peptide is calculated as the average of % D for the 6 time points (10 s, 30 s, 60 s, 300 s, 900 s and 3600 s) and the difference in average % D values between the Apo-ERα and ERα-FULV bound samples is shown as a heat map with a color code given at the bottom of the figure (warm colors for deprotection and cool colors for protection). Peptides are colored only if they show a > 5% difference (less or more protection) in average deuterium uptake between the two states and the software employs a paired two-tailed student’s t-test-based coloring scheme (p-value < 0.05 for two consecutive time points or a p-value < 0.01 for a single time point) to distinguish real protection differences from inherent variation in the data. Grey color represents no significant change (0–5%) between the two states.

https://doi.org/10.7554/eLife.37161.012
Figure 6—figure supplement 2
HDX MS for WT, Y537S, and D538G ERα LBD in complex with 4-OHT.

Deuterium uptake for each peptide is calculated as the average of % D for the 6 time points (10 s, 30 s, 60 s, 300 s, 900 s and 3600 s) and the difference in average % D values between the Apo-ERα and ERα-FULV bound samples is shown as a heat map with a color code given at the bottom of the figure (warm colors for deprotection and cool colors for protection). Peptides are colored only if they show a > 5% difference (less or more protection) in average deuterium uptake between the two states and the software employs a paired two-tailed student’s t-test-based coloring scheme (p-value < 0.05 for two consecutive time points or a p-value < 0.01 for a single time point) to distinguish real protection differences from inherent variation in the data. Grey color represents no significant change (0–5%) between the two states.

https://doi.org/10.7554/eLife.37161.013
Figure 6—figure supplement 3
HDX MS for WT, Y537S, and D538G ERα LBD in complex with BZA.

Deuterium uptake for each peptide is calculated as the average of % D for the 6 time points (10 s, 30 s, 60 s, 300 s, 900 s and 3600 s) and the difference in average % D values between the Apo-ERα and ERα-FULV-bound samples is shown as a heat map with a color code given at the bottom of the figure (warm colors for deprotection and cool colors for protection). Peptides are colored only if they show a > 5% difference (less or more protection) in average deuterium uptake between the two states and the software employs a paired two-tailed student’s t-test-based coloring scheme (p-value < 0.05 for two consecutive time points or a p-value < 0.01 for a single time point) to distinguish real protection differences from inherent variation in the data. Grey color represents no significant change (0–5%) between the two states.

https://doi.org/10.7554/eLife.37161.014
(A) QM scan of RAL and BZA arm torsion angle energetics.

(B) Overlaid representative calculated structure of Y537S-BZA (cyan) closest to the last 50-ns average from molecular dynamics (MD) simulation and the WT-BZA structure, vertical lines represent the ligand binding conformation in the X-ray crystal structure. Nitrogen atoms of the azepane part of BZA for the last 50-ns MD ensemble are shown in blue spheres near H12. Loop H11-12 is also shown for crystal structures of WT-4-OHT (wheat; PDB: 3ERT) and D538G-4-OHT (yellow; PDB: 4Q50). (C) Root mean squared fluctuations of ERα LBD residues, including the C-end of H11 (resi. 519–527), the loop H11-12 (resi. 528–535), and H12 (resi. 536–544), in the last 50-ns MD simulations for Y537S-BZA (cyan) and D538G-BZA (magenta). (D) Overlay of a representative structure of D538G-BZA (magenta) from MD simulations and the same WT-BZA structure (gray) as in (B).

https://doi.org/10.7554/eLife.37161.015
Summary of BZA’s SERM/SERD activity compared to SERMs and agonist compounds.
https://doi.org/10.7554/eLife.37161.016

Tables

Table 1
Competitive inhibitors of estrogen receptor alpha.
https://doi.org/10.7554/eLife.37161.002
AntiestrogenClassApproved clinical indications

4-Hydroxytamoxifen (4-OHT)
SERM• Adjuvant treatment for ER + breast cancers (Early Breast Cancer Trialists' Collaborative Group., 1998).
• Metastatic Breast Cancer (Lipton, 1982).
• Ductal Carcinoma in Situ (Allred et al., 2012).
• Reduction in Breast Cancer Incidence in High Risk Women (Visvanathan, 2009).

Raloxifene (RAL)
SERM• Osteoporosis in postmenopausal women (Messalli and Scaffa, 2010).
• Reduction in Breast Cancer Incidence in High Risk Women(Cauley et al., 2001).

Fulvestrant (FULV)
SERD• First-line therapy for metastatic breast cancer (Howell et al., 2004).
• Postmenopausal women with progressive breast cancer following other antiestrogen therapy (Osborne et al., 2002; Howell et al., 2002).

Bazedoxifene (BZA)
SERM/SERD• In combination with conjugated equine estrogens (DUAVEE) to prevent postmenopausal osteoporosis (Tikoo and Gupta, 2015).
Table 2
Ligand-binding affinities for WT, Y537S, and D538G mutant ERα LBD.
https://doi.org/10.7554/eLife.37161.018
Ligand/MutantKd (nM)*
WTY537SD538G
E20.22 ± 0.111.40 ± 0.541.77 ± 0.66
Ki (nM)
4-OHT0.12 ± 0.0032.64 ± 0.43.28 ± 0.7
RAL0.30 ± 0.053.59 ± 1.03.77 ± 1.0
BZA0.37 ± 0.013.50 ± 0.65.53 ± 0.7
Fulvestrant0.13 ± 0.033.68 ± 0.85.06 ± 1.2
  1. * Measured directly by Scatchard Analysis using [3H]E2.

    † Calculated using the Cheng-Prusoff equation from the IC50 values determined in a competitive radiometric binding analysis using [3H]E2 as a tracer.

  2. Indicates previously published data (Fanning et al., 2016; Zhao et al., 2017).

Key resources table
Reagent type
(species) or
resource
DesignationSource or
reference
IdentifierRRID
Recombinant
DNA reagent
Estrogen Receptor
Alpha Ligand Binding
Domain WT
or Y537S
Fanning SW,
Mayne CG,
Dharmarajan V,
Carlson KE,
Martin TA, Novick SJ,
Toy W, Green B,
Panchamukhi S,
Katzenellenbogen BS,
Tajkhorshid E, Griffin PR,
Shen Y,
Chandarlapaty S,
Katzenellenbogen JA,
Greene GL. Estrogen
receptor alpha somatic
mutations Y537S and
D538G confer breast
cancer endocrine
resistance by stabilizing
the activating function-2
binding conformation.
eLife. 2016;5:e12792.
doi: 10.7554/eLife.12792.
Strain, strain
background
(Protein Expression)
E.coli BL21(DE3)https://www.neb.com/products/c2527-bl21de3-competent-e-coli#Product%20Information
Cell line (Mammary Cells)MCF7,
MCF7 HA-Y537S,
MCF7 HA-D538G,
T47D, CAMA-1,
ZR75-1,
MDA-MB-361
ATCC; this paper;
this paper; ATCC;
ATCC; ATCC; ATCC
ATCC HTB-22,
ATCC HTB-23,
ATCC HTB-21,
ATCC CRL-1500,
ATCC HTB-27
CVCL_0031,
CVCL_0553,
CVCL_1115,
CVCL_0588,
CVCL_0620
Antibodyanti-ERα
antibody F10
Santa Cruz
Biotechnology
sc-8002AB_627558
Antibodyanti-actin
antibody
Santa Cruz
Biotechnology
sc-69879AB_1119529
Antibodyanti-HA
antibody
Cell SignalingC29F4AB_1549585
SoftwareCCP4ihttps://www.ccp4.ac.uk/ccp4i_main.phpSCR_007255
SoftwareVMDhttps://www.ks.uiuc.edu/Research/vmd/SCR_004905
SoftwareGaussion G09http://gaussian.com/SCR_014897
SoftwareGaussView
http://gaussian.com/
SCR_014897
SoftwareHDX Workbenchhttp://hdxworkbench.com/
SoftwareBionavigatorPamGene
Commercial
assay or kit
PamStation96PamGene
Commercial
assay or kit
MycoAlert
Mycoplasma
Detection Kit
LonzaLT07-518
Chemical
compound, drug
protease
inhibitor cocktail
solution III
CalBiochem539134
Chemical
compound, drug
4-hydroxytamoxifenTocris3412
Chemical
compound, drug
ICI 182–780
(fulvestrant)
Tocris1047/1
Chemical
compound, drug
RaloxifeneSigma-
Aldrich
R1402
Chemical
compound, drug
EstradiolSigma-
Aldrich
E8875
Table 3
Crystallographic data collection and refinement statistics.
https://doi.org/10.7554/eLife.37161.017
ERα LBD-BZA
Data Collection
Space GroupP1
a, b, c (Å)53.57, 59.17, 94.14
α, β, γ (°)86.76, 75.36, 63.03
Resolution Range50–2.49
Number of Reflections
(all/unique)63,978/29,080
I/σ (highest resolution)1.35
Rmerge8.0
Completeness (%)97.6
Redundancy2.2
Refinement
Rwork/Rfree21.1/29.3
No. Residues/Chain
ERα LBD D538G241
GRIP Peptide0
Water5
Ligand1
RMSD
Bond lengths (Å)0.010
Bond angles (°)1.575
Chiral volume0.1016
Ramachandran plot statistics
Preferred number (%)837 (97.44%)
Additional allowed (%)18 (2.10%)
Outliers (%)4 (0.47%)

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  1. Sean W Fanning
  2. Rinath Jeselsohn
  3. Venkatasubramanian Dharmarajan
  4. Christopher G Mayne
  5. Mostafa Karimi
  6. Gilles Buchwalter
  7. René Houtman
  8. Weiyi Toy
  9. Colin E Fowler
  10. Ross Han
  11. Muriel Lainé
  12. Kathryn E Carlson
  13. Teresa A Martin
  14. Jason Nowak
  15. Jerome C Nwachukwu
  16. David J Hosfield
  17. Sarat Chandarlapaty
  18. Emad Tajkhorshid
  19. Kendall W Nettles
  20. Patrick R Griffin
  21. Yang Shen
  22. John A Katzenellenbogen
  23. Myles Brown
  24. Geoffrey L Greene
(2018)
The SERM/SERD bazedoxifene disrupts ESR1 helix 12 to overcome acquired hormone resistance in breast cancer cells
eLife 7:e37161.
https://doi.org/10.7554/eLife.37161