Enzo Lalli1,2,3*- 1Institut de Pharmacologie Moléculaire et Cellulaire CNRS UMR 7275, Valbonne, France
- 2Université Côte d’Azur, Valbonne, France
- 3Inserm, Valbonne, France
Background: Overexpression of the transcription factor NR5A1 and constitutive activation of canonical Wnt signalling leading to nuclear translocation of beta-catenin are hallmarks of malignancy in adrenocortical carcinoma (ACC). Based on the analysis of genomic profiles in H295R ACC cells, Mohan et al. (Cancer Res. 2023; 83: 2123-2141) recently suggested that a major determinant driving proliferation and differentiation in malignant ACC is the interaction of NR5A1 and beta-catenin on chromatin to regulate gene expression.
Methods: I reanalyzed the same set of data generated by Mohan et al. and other published data of knockdown-validated NR5A1 and beta-catenin target genes,
Results: Beta-catenin is mainly found in association to canonical T cell factor/lymphoid enhancer factor (TCF/LEF) motifs in genomic DNA. NR5A1 and beta-catenin regulate distinct target gene sets in ACC cells.
Conclusion: Overall, my analysis suggests a model where NR5A1 overexpression and beta-catenin activation principally act independently, rather than functionally interacting, to drive ACC malignancy.
1 Introduction
Recent studies have allowed to make much progress in our understanding of the molecular and genomic determinants implicated in the pathogenesis of adrenocortical carcinoma (ACC), a rare endocrine malignancy. Among those factors, a key role is played by overexpression of the transcription factor Steroidogenic Factor-1/NR5A1 and activation of canonical Wnt signalling. NR5A1 overexpression is a common finding in paediatric ACC (1) and is a marker of malignancy in adults (2). In ACC cells, NR5A1 overexpression is sufficient to regulate the expression of a set of genes linked to malignancy in a dosage-dependent fashion (3–8). On the other hand, somatic mutations of Catenin beta 1 (CTNNB1) or other genes leading to constitutive activation of the canonical Wnt pathway are present in about 30% of ACC, alone or in combination with other genomic alterations (9–11). Beta-catenin activation is associated to poor outcome in ACC (12). Activated beta-catenin translocates to the nucleus, where it regulates gene expression mainly by association with the TCF/LEF family of transcription factors, even if its interaction with other classes of transcription factors has been described, including nuclear receptors (13–15). A number of target genes for activated beta-catenin has been described in the H295R ACC cell line (where beta-catenin is constitutively activated due to a CTNNB1 mutation) after selective downregulation of beta catenin by expression of an inducible shRNA (16).
Little is known about the potential interplay of those factors in driving ACC malignancy. Based on the analysis of genomic profiles in H295R cells, a recent study suggested that a major determinant driving proliferation and differentiation in malignant ACC is the interaction of NR5A1 and beta-catenin on chromatin to regulate gene expression (17). However, by the analysis of the data generated by Mohan et al. and of published data of knockdown-validated NR5A1 and beta-catenin target genes, here I show that beta-catenin is mainly found in association to canonical TCF/LEF motifs in genomic DNA and that NR5A1 and beta-catenin regulate distinct target gene sets in H295R ACC cells. These results are strongly suggestive that NR5A1 and beta-catenin act independently, rather than functionally interacting, to shape the malignant phenotype of ACC cells.
2 Materials and methods
2.1 ChIP-seq data analysis
NR5A1 (basal; SRR19503712), beta-catenin (basal; SRR19503710) ChIP-seq and input DNA (SRR19503702) fastq files from the study by Mohan et al. (17) were retrieved from the SRA database (https://www.ncbi.nlm.nih.gov/sra). All data analyses were performed in the Galaxy server (https://usegalaxy.eu) (18). After quality control and filtering below 20 cut-off value, reads were mapped on the human genome (version hg38) using Bowtie2 and default values. For both NR5A1 and beta-catenin ChIP-seq samples narrow peaks were called from bam files using MACS2 with the following parameters: control file, input DNA; effective genome size, 2,700,000,000; build model; lower mfold bound, 5; upper mfold bound, 50; band width for picking regions to compute fragment size, 300; peak detection based on 0.05 q-value. After excluding ENCODE blacklisted regions (ENCFF356LFX), 47,071 peak regions were obtained for the NR5A1 sample and 1,055 for the beta-catenin sample. Overlap between those two datasets (979 regions) was calculated using the Intersect interval tool. The MEME suite (https://meme-suite.org/meme) (19) was used to analyze DNA motifs present in the overlapping NR5A1 – beta-catenin ChIP peaks. After motif analysis by MEME-ChIP, the presence of the TCF7L2 (MA0523.1 in JASPAR) and NR5A2 (MA0505.2 in JASPAR) motifs in those sequences was searched by the FIMO tool.
2.2 Gene expression analysis
The lists of genes significantly differentially expressed after NR5A1 (5, 20, 21) and beta-catenin (16) knockdown in H295R cells were compared and results visualized using jvenn (22). Gene Ontology analysis of NR5A1 and beta-catenin target genes was performed using Metascape (23).
3 Results
3.1 Beta-catenin genomic binding sites overlapping with NR5A1 binding sites in H295R cells are enriched with TCF7L2 motifs
My analysis performed using MACS2 software on the ChIP-seq data from the Mohan et al.’s study (17) revealed a total of 47,071 genomic binding sites for NR5A1 and 1,055 binding sites for beta-catenin within H295R cells. Notably, there were 979 binding sites overlapping binding sites (Figure 1A, Supplementary Table S1 for details). This is a much smaller figure than the number of overlapping NR5A1 – beta-catenin binding sites reported by Mohan et al. (3,559). TCF7L2 and NR5A2 motifs were significantly enriched in beta-catenin binding sites (1.5e-338 and 3.8e-125, respectively) (Figure 1B). Even if differences in data analysis methods and thresholds used may account in part for the discrepancies of my analysis with what reported by Mohan et al. (17), it is remarkable that out of the 979 NR5A1 – beta-catenin overlapping peaks, 400 displayed one or more TCF7L2 motifs, associated or not to a NR5A2 motif, while only 214 NR5A1/beta-catenin intersect ChIP peaks displayed a NR5A2 motif (76 also harbouring one or multiple TCF7L2 motif). In addition, 441 NR5A1/beta-catenin intersect ChIP peaks harboured neither motif (Figure 1C, Supplementary Table S2). These data strongly suggest that beta-catenin predominantly interacts with cognate TCF motifs even within overlapping NR5A1 – beta-catenin ChIP peaks. Examples of adjacent TCF7L2 and NR5A2 motifs within an overlapping NR5A1 – beta-catenin genomic binding site are shown in Figure 1D. NR5A1/beta-catenin intersect ChIP peaks harbouring TCF7L2, NR5A2 or both motifs have a similar genomic distribution in relationship to gene elements (Figure S1).
Figure 1 Overlap and motifs in NR5A1 and beta-catenin genomic binding sites in H295R ACC cells. (A) Overlap between NR5A1 and beta-catenin ChIP peaks. (B) DNA motifs enriched in the 979 NR5A1 – beta-catenin intersect peaks and statistical significance value as calculated by MEME. (C) Abundance of TCF7L2, NR5A2 or both motifs in the 979 NR5A1 – beta-catenin intersect peaks, as calculated by FIMO. (D) Examples of the presence of various combinations of the TCF7L2, NR5A2 or both motifs in the sequences of NR5A1 – beta-catenin intersect peaks.
3.2 Little overlap among NR5A1 and beta-catenin target genes in H295R cells
Binding to genomic DNA does not represent evidence for gene regulation unless complemented with functional data. To characterize the crosstalk of NR5A1 and beta-catenin on the regulation of gene expression programs in H295R cells, I have compared the published datasets of both NR5A – regulated (5, 20, 21) and beta-catenin – regulated (16) genes in this cell line. Enriched Gene Ontology categories for genes regulated either positively or negatively by NR5A1 and beta-catenin are shown in Figure S2. Prominent enriched categories are genes involved in steroidogenesis for NR5A1 – positively regulated genes, locomotion for NR5A1 – negatively regulated genes, Wnt signalling for beta-catenin – positively regulated genes and regulation of actin cytoskeleton for beta-catenin – negatively regulated genes. Out of 29 genes positively regulated by beta-catenin, only 3 (CADPS, GRPR and ISM1) are in common with genes positively regulated by NR5A1 in at least one of those datasets (Figure 2A, Supplementary Table S3). On the other hand, out of 29 genes negatively regulated by beta-catenin, only 4 genes (ITGA8, JAG1, OTULINL and LXN) were commonly downregulated by NR5A1 and beta-catenin in at least one dataset (Figure 2B, Supplementary Table S3).
Figure 2 NR5A1 and beta-catenin – regulated genes in H295R cells. (A) Overlap among genes upregulated (downregulated after knockdown) by NR5A1 and beta-catenin, respectively. (B) Overlap among genes downregulated (upregulated after knockdown) by NR5A1 and beta-catenin, respectively. NR5A1 data are derived from three different datasets (5, 20, 21). Beta-catenin data from Lefèvre et al. (16).
4 Discussion
Previous studies have reported physical and functional interaction between NR5A1 and beta-catenin to regulate transcription of specific target genes (13, 24, 25). However, the study by Mohan et al. (17) has been the first to investigate the localization of both NR5A1 and beta-catenin binding sites in the chromatin of H295R ACC cells at the genome-wide scale. Those authors concluded that the interaction between those factors is a major determinant driving proliferation and differentiation in malignant ACC.
I have shown here that overlapping NR5A1 – beta-catenin genomic binding sites in H295R cells contain in large proportion canonical TCF/LEF motifs, alone or in combination with nuclear receptor half-sites known as binding motifs for NR5A1/NR5A2. This finding strongly suggests that interaction of beta-catenin with cognate TCF/LEF transcription factors are dominant to shape the transcriptional profiles of its target genes in ACC cells and are consistent with the results by Schuijers et al. which showed that beta-catenin acts nearly exclusively through interaction with TCF/LEF in colon cancer cells (15). Furthermore, target gene sets regulated by NR5A1 and beta-catenin in H295R cells are divergent (Figure 2). Overall, in contrast to the conclusions by the Mohan et al. article (17), these data provide compelling evidence that in ACC cells NR5A1 and beta-catenin, which are both relevant factors driving tumour malignancy, regulate mostly distinct gene expression programs through different mechanisms. We have demonstrated that NR5A1 overexpression in ACC cells regulates the expression of both positive and negative dosage-dependent target genes which are directly implicated in shaping the malignant tumour phenotype (3–8). On the other hand, activating mutations in CTNNB1 and other genetic alterations in canonical Wnt pathway components in ACC induce nuclear translocation of beta-catenin and transcriptional regulation of genes involved in cell proliferation, apoptosis and invasion, being also associated to immune cell exclusion from the tumour (16, 26–31). Overall, these data suggest a model where NR5A1 overexpression and beta-catenin activation principally act in parallel, rather than functionally interacting, to drive ACC malignancy (Figure 3). Interestingly, both factors can be targeted by small-molecule inhibitors (26, 32, 33) some of which have already reached the clinical stage. Combined inhibition of both NR5A1 and beta-catenin can then be a promising innovative therapeutic strategy for ACC.
Figure 3 A model for NR5A1 and beta-catenin in driving ACC malignancy. NR5A1 is found overexpressed in ACC, with consequent transcriptional regulation of dosage-dependent target genes involved in several aspects of the malignant phenotype. Beta-catenin activation in ACC is caused by activating mutations of CTNNB1 or inactivating mutations in negative regulators of canonical Wnt signalling (ZNRF3, APC). Those produce nuclear translocation of beta-catenin, which interacts preferentially with TCF/LEF transcription factors and regulates target gene expression.
Data availability statement
Publicly available datasets were analyzed in this study. This data can be found here: SRR19503702, SRR19503710, SRR19503712 from the SRA database: https://www.ncbi.nlm.nih.gov/sra.
Author contributions
EL: Formal analysis, Funding acquisition, Methodology, Writing – original draft, Writing – review & editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the ANR20-CE14-0007 (Goldilocks) grant to EL.
Acknowledgments
I thank the COST Action CA20122 Harmonis@tion for supportive networking.
Conflict of interest
The author declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fendo.2023.1303332/full#supplementary-material
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Keywords: adrenocortical carcinoma, beta-catenin, nuclear receptors, transcriptional regulation, genomics
Citation: Lalli E (2023) A reappraisal of transcriptional regulation by NR5A1 and beta-catenin in adrenocortical carcinoma. Front. Endocrinol. 14:1303332. doi: 10.3389/fendo.2023.1303332
Received: 27 September 2023; Accepted: 17 November 2023;
Published: 08 December 2023.
Edited by:
Barbara Altieri, University Hospital of Wuerzburg, GermanyReviewed by:
Sergei Tevosian, University of Florida, United StatesTapahsama Banerjee, University of Colorado, United States
Copyright © 2023 Lalli. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Enzo Lalli, bmluaW5vQGlwbWMuY25ycy5mcg==