2016
DOI: 10.1158/1078-0432.ccr-15-1583
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Adaptation to AI Therapy in Breast Cancer Can Induce Dynamic Alterations in ER Activity Resulting in Estrogen-Independent Metastatic Tumors

Abstract: Purpose: Acquired resistance to aromatase inhibitor (AI) therapy is a major clinical problem in the treatment of breast cancer. The detailed mechanisms of how tumor cells develop this resistance remain unclear. Here, the adapted function of estrogen receptor (ER) to an estrogen-depleted environment following AI treatment is reported.Experimental Design: Global ER chromatin immuno-precipitation (ChIP)-seq analysis of AI-resistant cells identified steroidindependent ER target genes. Matched patient tumor samples… Show more

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Cited by 27 publications
(19 citation statements)
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“…High levels of ligand-independent ER activity have been detected in AI-resistant breast cancer cells selected in vitro or in patient tumor samples collected after the treatment 34,35. These studies have suggested that ligand-independent ER activity may be an acquired trait under therapy selection.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…High levels of ligand-independent ER activity have been detected in AI-resistant breast cancer cells selected in vitro or in patient tumor samples collected after the treatment 34,35. These studies have suggested that ligand-independent ER activity may be an acquired trait under therapy selection.…”
Section: Discussionmentioning
confidence: 99%
“…Recent studies have also shown that unliganded ERα binds to 4,000–5,000 sites in the genome 35,40,44. Caizzie et al in their study demonstrated that unliganded ERα regulates ~900 genes that largely overlap with the set of estrogen-induced ER-target genes, suggesting that unliganded ERα may maintain the basal expression of estrogen-inducible ER-target genes 40.…”
Section: Discussionmentioning
confidence: 99%
“…A recent effort utilizing deep sequencing of 106 candidate genes in 11 paired ER+ primary and metastatic tumors identified several genes more frequently mutated in relapsing versus non-relapsing cases, and/or that were associated with inferior survival based upon TCGA data; two novel genes, Lysine Methyltransferase 2C (KMT2C) and EPH Receptor A7 (EPHA7), were linked to adverse outcome (28). Varešlija et al recently analyzed paired primary and local or distant metastatic tissues, and showed altered expression of ER target genes, reflecting changes in ER activity with AI treatment (29). …”
Section: On the Horizonmentioning
confidence: 99%
“…Moving forward, A cautionary note is that utilization of archived plasma in EDTA for ctDNA studies needs further validation, as fresh blood samples might be necessary to give the most accurate assessment of disease status. Ultimately, the therapeutic challenge will include targeting mutant ER with the right agent at the right time during the patient’s disease course, as initial increase in ligand-independent signaling can transition to complete loss of ER target gene expression and signaling over time (29). …”
Section: On the Horizonmentioning
confidence: 99%
“…Similar work analyzing hormone-receptor positive breast cancers have mainly been restricted to short-term pre/post neoadjuvant therapy analyses [19][20][21][22] . One of the most comprehensive genomic studies of this type was a multi-platform effort that characterized the clonal architecture of tumors after four months of AI therapy 23 .…”
mentioning
confidence: 99%