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ER reprogramming promotes a select pro-metastatic secretome in high FOXA1-expressing ER-positive endocrine-resistant and metastatic breast cancer [ChIP-seq]

ABSTRACT: Aberrant activation of the forkhead protein FOXA1 is observed in advanced hormone-related cancers. However, to date, key mediators of high FOXA1 signaling remain elusive. We demonstrate that ectopic high FOXA1 (H-FOXA1) expression promotes estrogen receptor-positive (ER+) breast cancer (BC) metastasis in a xenograft mouse model. Mechanistically, H-FOXA1 reprograms ER-chromatin binding to elicit a core gene signature (CGS) and an ER-dependent secretome highly enriched in ER+ endocrine-resistant (EndoR) cells. ER+ BC MCF7-parental (P) cells treated with estrogen deprivation or estrogen, and with doxycycline (Dox)-inducible FOXA1 overexpression were used in this study. We found that a majority of the lost or retained ER binding induced by H-FOXA1 overlapped with the ER binding sites in P cells induced by estrogen vs. tamoxifen treatment. The lost ER binding sites were also significantly enriched for the ER binding under E2 vs. ED, which corresponds to 11% of the total E2-stimulated ER binding, suggesting that H-FOXA1 induces a loss of selective E2-stimulated ER binding sites. In addition, we found that the proportion of H-FOXA1-induced ER-loss regions were significantly enriched for the unique ER binding sites in P vs. tamoxifen-resistant (TamR) cells, yet no enrichment of the ER-gain regions was observed in the unique ER binding in TamR vs. P cells. Our findings uncover H-FOXA1-induced ER reprogramming driving EndoR and metastasis, possibly via a H-FOXA1/ER-dependent secretome that warrants further studies to clarify its involvement in disease progression of ER+ metastatic breast cancer.

ORGANISM(S): Homo sapiens

PROVIDER: GSE175418 | GEO | 2023/05/21

REPOSITORIES: GEO

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Project description:Aberrant activation of the forkhead protein FOXA1 is observed in advanced hormone-related cancers. However, to date, key mediators of high FOXA1 signaling remain elusive. We demonstrate that ectopic high FOXA1 (H-FOXA1) expression promotes estrogen receptor-positive (ER+) breast cancer (BC) metastasis in a xenograft mouse model. Mechanistically, H-FOXA1 reprograms ER-chromatin binding to elicit a core gene signature (CGS) highly enriched in ER+ endocrine-resistant (EndoR) cells. We identified Secretome14, a CGS subset encoding ER-dependent cancer secretory proteins, strongly predicts poor outcomes of ER+ BC and is elevated in ER+ metastases vs. primary tumors, irrespective to the ESR1 mutations. Parental (P) ER+ BC cells and their endocrine-resistant (EndoR) derivatives, and ER+ BC cells expressing doxycycline (Dox)-inducible ectopic FOXA1 were used in this study. Differential gene expression analysis was performed in EndoR vs. P cells and P cells +Dox vs. -Dox. We found that the FOXA1-CGS was highly enriched in the altered transcriptomes of two ER+ BC cell models (ZR75-1 and T47D) expressing ectopic H-FOXA1. The enriched hallmark gene sets, shared by the H-FOXA1 cell models, include “inflammatory response”, “complement”, and “interferon gamma response” for the H-FOXA1-induced, and “estrogen response early” and “estrogen response late” for the H-FOXA1-repressed genes. These findings point to the common transcriptional profile exhibiting an immune- over estrogen-responsive signature induced by H-FOXA1. In addition, we found that both the tamoxifen-resistant (TamR) and estrogen deprivation-resistant (EDR) derivatives of the 600MPE P cells were enriched for the H-FOXA1-induced CGS and FOXA1/ER-activated Secretome14. Our findings uncover H-FOXA1-induced ER reprogramming driving EndoR and metastasis, possibly via a H-FOXA1/ER-dependent secretome that warrants further studies to clarify its involvement in disease progression of ER+ metastatic BC.

Project description:The interplay between mitogenic and proinflammatory signaling pathways play key roles in determining the phenotypes and clinical outcomes of breast cancers. We have used global nuclear run-on coupled with deep sequencing to characterize the immediate transcriptional responses of MCF-7 breast cancer cells treated with estradiol, TNF?, or both. In addition, we have integrated these data with chromatin immunoprecipitation coupled with deep sequencing for estrogen receptor alpha (ER?), the pioneer factor FoxA1 and the p65 subunit of the NF-?B transcription factor. Our results indicate extensive transcriptional interplay between these two signaling pathways, which is observed for a number of classical mitogenic and proinflammatory protein-coding genes. In addition, GRO-seq has allowed us to capture the transcriptional crosstalk at the genomic locations encoding for long non-coding RNAs, a poorly characterized class of RNAs which have been shown to play important roles in cancer outcomes. The synergistic and antagonistic interplay between estrogen and TNF? signaling at the gene level is also evident in the patterns of ER? and NF-?B binding, which relocalize to new binding sites that are not occupied by either treatment alone. Interestingly, the chromatin accessibility of classical ER? binding sites is predetermined prior to estrogen treatment, whereas ER? binding sites gained upon co-treatment with TNF? require NF-?B and FoxA1 to promote chromatin accessibility de novo. Our data suggest that TNF? signaling recruits FoxA1 and NF-?B to latent ER? enhancer locations and directly impact ER? enhancer accessibility. Binding of ER? to latent enhancers upon co-treatment, results in increased enhancer transcription, target gene expression and altered cellular response. This provides a mechanistic framework for understanding the molecular basis for integration of mitogenic and proinflammatory signaling in breast cancer. Using GRO-seq and ChIP-seq (ER, FoxA1 and p65) to assay the molecular crosstalk of MCF-7 cells treated with E2, TNFa or both E2+TNFa.

Project description:Phosphoinositide-3-kinase/protein-kinaseB/mammalian target of rapamycin (PI3K/AKT/mTOR) signalling plays an important role in breast cancer (BC). Its interaction with estrogen receptor (ER) signalling becomes more complex and inter-dependent with acquired endocrine resistance. Targeting mTOR combined with endocrine therapy has shown clinical utility, however, a negative feedback-loop exists downstream of PI3K/AKT/mTOR. Direct blockade of AKT together with endocrine therapy may improve BC treatment. AZD5363, a novel pan-AKT kinase catalytic inhibitor, was examined in a panel of ER+ BC cell lines (MCF7, HCC1428, T47D, ZR75.1) adapted to long-term-estrogen-deprivation (LTED) or tamoxifen (TamR). AZD5363 caused a dose-dependent decrease in proliferation in all cell lines tested (GI50<500nM) except HCC1428 and HCC1428-LTED. T47D-LTED and ZR75-LTED were the most sensitive of the lines (GI50~100nM). AZD5363 re-sensitised TamR cells to tamoxifen and acted synergistically with fulvestrant. AZD5363 decreased p-AKT/mTOR targets leading to a reduction in ERα-mediated transcription in a context specific manner and concomitant decrease in recruitment of ER and CREB-binding protein (CBP) to estrogen-response-elements located on the TFF1, PGR and GREB1 promoters. Furthermore, AZD5363 reduced expression of cell-cycle-regulatory proteins. Global gene expression highlighted ERBB2-ERBB3, ERK5 and IGF1 signaling pathways driven by MYC as potential feedback-loops. Combined treatment with AZD5363 and fulvestrant showed synergy in an ER+ patient derived xenograft and delayed tumour progression post-cessation of therapy. These data support the combination of AZD5363 with fulvestrant as a potential therapy for BC that is sensitive or resistant to E-deprivation or tamoxifen and that activated AKT is a determinant of response, supporting the need for clinical evaluation. Cell lines were treated in biological triplicates in the absence of estrogen with or without AZD5363 for 24hours in order to identify gene changes associated with perturbation of AKT signalling

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ER reprogramming promotes a select pro-metastatic secretome in high FOXA1-expressing ER-positive endocrine-resistant and metastatic breast cancer [ChIP-seq]

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