| Literature DB >> 24137320 |
Jichun Zhou1, Rongyue Teng, Qinchuan Wang, Chenpu Xu, Jufeng Guo, Chao Yuan, Jianguo Shen, Wenxian Hu, Linbo Wang, Shuduo Xie.
Abstract
Current endocrine therapies for females with estrogen receptor-positive breast cancer have facilitated substantial improvements in outcomes. The effectiveness of endocrine therapy is limited by either initial de novo resistance or acquired endocrine resistance. Multiple mechanisms responsible for endocrine resistance have been proposed, including deregulation of various components of the estrogen receptor (ER) pathway, alterations in cell cycle and cell survival signaling molecules, and the activation of escape pathways. Dysregulation of miRNA expression has been associated with experimental and clinical endocrine therapy resistance. miRNAs are pivotal to understanding the complex biological mechanism of endocrine resistance, and may serve as novel candidate predictive and prognostic surrogates and therapeutic targets. This review focuses on current progress concerning the roles of miRNAs in endocrine resistance, and discusses the challenges and opportunities for implementing miRNA-based assays and treatment for patients with endocrine-resistant breast cancer.Entities:
Keywords: breast cancer; endocrine resistance; miRNAs
Year: 2013 PMID: 24137320 PMCID: PMC3789028 DOI: 10.3892/ol.2013.1405
Source DB: PubMed Journal: Oncol Lett ISSN: 1792-1074 Impact factor: 2.967
Figure 1.Typical model of investigation on the role of miRNAs in endocrine resistance in breast cancer.
Potential targets of miRNA and pathway prediction tools.
| Tool | Method for prediction and ranking | Website |
|---|---|---|
| Target Scan | Stringent seed pairing, conservation, UTR context | |
| PicTar | Stringent seed pairing, free energy, conservation, probability being target to set of miRNAs | |
| miRanda | Moderately stringent seed pairing, free energy, conservation | |
| miR Base | Target predictions using miRanda algorithm with varied parameters | |
| PITA | Seed pairing, site accessibility, total interaction energy, site number |
UTR, untranslated region.
Figure 2.An overview of the interaction between ER and miRNAs. ER, estrogen receptor.
Summary of miRNAs involved in the endocrine resistance of breast cancer.
| miRNAs | miRNA expression | Putative target | Drug | Sample source
| Reference | ||
|---|---|---|---|---|---|---|---|
| Cell line | Patient | Xenograft | |||||
| -221, -222 | ↑ | p27Kip1 | Tamoxifen | MCF-7 | Yes | No | ( |
| ↑ | ERα | Tamoxifen | MCF-7/T47D | Yes | No | ( | |
| ↑ | β-catenin, TGF-β | Fulvestrant | MCF-7 | No | No | ( | |
| ↑ | - | Tamoxifen | AK47 | No | No | ( | |
| ↑ | ERα, | Tamoxifen | MCF-7 | No | No | ( | |
| let-7i,-181a,-191-199b, -373*,-204, -211, -212, -216, -328,-424, -204, -191, let-7i | ↓ | TGF-β, Wnt MAPK, mTOR | Fulvestrant | MCF-7 | No | No | ( |
| -342 | ↓ | cyclin B1, BRCA1 p53, PTEN | Tamoxifen | MCF-7 | No | No | ( |
| -222,-181b | ↑ | TIMP3, MAPK, AKT, ADAM10, ADAM17 | Tamoxifen | MCF-7 | Yes | Yes | ( |
| -128a | ↑ | TGFβR1, SMAD2 | Letrozole | MCF-7 | No | No | ( |
| -101 | ↑ | Magi-2, Akt, PTEN | Tamoxifen | MCF-7 | No | Yes | ( |
| -210 | ↑ | - | Tamoxifen | - | Yes | No | ( |
| -15a/16 | ↓ | BCL2 | Tamoxifen | MCF-7 | No | Yes | ( |
| -30c | ↑ | HER, RAC1 | Tamoxifen | - | Yes | No | ( |
| -26a | ↑ | CCNE1, CDC2, EZH2 | Tamoxifen | - | Yes | No | ( |
| -451 | ↓ | 14-3-3 ζ, HER2, EGFR, MAPK | Tamoxifen | MCF-7 | No | No | ( |
p27Kip1, cyclin-dependent kinase inhibitor 1B; ERα, estrogen receptor α; TGF-β, transforming growth factor β; PDCD4, pyruvate decarboxylase regulator; BCL2, B-cell CLL/lymphoma 2; CYP1B1, cytochrome P450 1B1; ERBB3, v-erb-b2 erythroblastic leukemia viral oncogene homolog 3; MAPK, mitogen-activated protein kinase; mTOR, mammalian target of rapamycin; BRCA1, breast cancer 1; PTEN, phosphatase and tensin homolog; TIMP3, tissue inhibitor of metalloproteinase 3; ADAM10/17, a disintegrin and metallopeptidase domain 10/17; TGFβR1, TGF-β receptor 1; Magi-2, membrane associated guanylate kinase; HER(2), human epidermal growth factor receptor 2; RAC1, ras-related C3 botulinum toxin substrate 1; CCNE1, cyclin E1; CDC2, cyclin-dependent kinase 2; EZH2, enhancer of zeste homolog 2; EGFR, epidermal growth factor receptor.