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Splicing of the cholesterol homeostasis protein LXR is a prognostic indicator for triple negative breast cancer patients

Published online by Cambridge University Press:  19 October 2020

P. Lianto
Affiliation:
School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK
T.A. Hughes
Affiliation:
School of Medicine, University of Leeds, Leeds, LS9 7TF, UK
B.J. Moore
Affiliation:
School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK
L.J. Thorne
Affiliation:
School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK
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Abstract

Type
Abstract
Copyright
Copyright © The Authors 2020

There are positive correlations between hypercholesterolmia and BCa risk. LXRα/NR1H3 and LXRβ/NR1H2, known as regulators of cholesterol metabolism, are often over-expressed in breast cancer (BCa). LXRs mechanistically link cholesterol metabolism to BCa progression by reacting to side-chain hydroxylated cholesterol moiesties (scOHC; cholesterol metabolite) via ligand binding domains (LBD) and bind the genome via DNA binding domains (DBD)(Reference Nelson, Wardell and Jasper1,Reference Segala, David and de Medina2) . Multiple splice variants of LXRα and LXRβ with alterations in the LBD, the DBD, and/or the Activation Function (AF) domain have been reported(Reference Annalora, Marcus and Iversen3). LXR splice variants annotated in NCBI, ENSEMBL and UNIPROT databases show divergence in domains critical for co-factor recruitment. We have previously shown co-factors are critical for distinguishing LXR function between oestrogen receptor positive (ER+) and negative (ER-) BCa subtypes(Reference Hutchinson, Lianto and Roberg-Larsen4). As the expression and function of LXR splice variants in BCa have not been investigated before, we set out to evaluate the pattern and clinical significance of LXR splicing in BCa.

RT-qPCR and immunoblotting were performed to ascertain the range of splice variants expressed in a panel of BCa cell lines (ER+: MCF7, BT474; ER-: MDA.MB.468, MDA.MB.231, MDA.MB.157; Her2+: MDA.MB.453) and whether isoform abundance changed in response to synthetic (GW3965) and endogenous (26-hydroxycholesterol [26-OHC]) LXR ligands; changes in expression were determined with one-way ANOVA with Holm-Sidak correction. LXR isoforms were identified and validated in cell lines and were then quantified in tumours from 32 patients with triple negative breast cancer (TNBC) (15/HY/0025); associations with disease-free survival (DFS) were calculated using log-rank Mantel-Cox test.

Relative to a liver cell line (HEPG2 cells), LXRβ was expressed at a higher level in BCa lines than LXRα. Multiple LXRα splice variants were present at mRNA and protein level, whilst just the LXRβ1 splice variant detectable by immunoblotting. Full length LXRα1 was the predominant LXRα isoform in liver and TNBC cells and LXRαx4, which lacks a DBD and has a truncated AF, was the predominant isoform in ER+ cells. LXRα1 was inducible by GW3965 in all cell lines tested (p < 0.05). LXRαx4 was dectable and inducible in MCF7 and MDA.MB.453 cells (p < 0.01). In ER- patients, high tumour levels of LXRα1 was associated with worse DFS (p = 0.0023). High levels of LXRαx4 (p = 0.026) and high LXRβ (p = 0.049) was associated with longer DFS.

These data show fully functional LXRα is associated with worse survival. In contrast, patients with tumours having high expression of truncated LXRα or high LXRβ, had longer DFS. Understanding the differences between gene targets of full length LXRα, its splice variants, and LXRβ in BCa will help establish if the associations we idenitified here are causal. LXR splice analysis may improve prognostic accuracy, and identify patients for whom cholesterol lowering may improve survival.

References

Nelson, ER, Wardell, SE, Jasper, JS, et al. (2013) Science 342, 10941098.10.1126/science.1241908CrossRefGoogle Scholar
Segala, G, David, M, de Medina, P, et al. (2017) Nat Commun 8, 1903.10.1038/s41467-017-01948-9CrossRefGoogle Scholar
Annalora, AJ, Marcus, CB, & Iversen, PL (2020). Drug Metab Dispos 48, 272287.10.1124/dmd.119.089102CrossRefGoogle Scholar
Hutchinson, SA, Lianto, P, Roberg-Larsen, H, et al. (2019). Nutrients 11, 2618.Google Scholar