Regulation of aromatase expression in breast cancer treated with anastrozole neoadjuvant therapy
- Authors:
- Published online on: December 24, 2012 https://doi.org/10.3892/etm.2012.878
- Pages: 902-906
Abstract
Introduction
Aromatase is encoded by the CYP19A1 gene, belongs to the cytochrome P450 superfamily and is a rate-limiting enzyme in the conversion of androgens into estrogens. Aromatase inhibitors (AIs), such as anastrozole, are extensively utilized in the treatment of estrogen receptor (ER)+/progesterone receptor (PgR)+ postmenopausal breast cancer patients, as AIs block paracrine production of growth stimulating hormones at the tumor-cell level (1,2). Despite proven clinical efficacy, such therapies are still associated with non-response in ∼20% of cases. To date, it remains impossible to accurately predict the response to such treatments.
Changes in aromatase mRNA or protein expression may have a role in the response of patients to AI therapy, and control of gene/protein expression or activity may be exerted at different levels.
It has been reported that the presence of two tightly linked single nucleotide polymorphisms (SNPs), rs6493497 and rs7176005, in the 5′-flanking region of the CYP19A1 exon 1.1 is associated with greater decrease in aromatase activity following anastrozole neoadjuvant treatment in breast cancer (3). The same SNPs are also associated with higher plasma estradiol levels in pre-AI and post-AI therapy patients and with higher basal aromatase activity in tumor samples (3).
In addition, miRNAs have a crucial role in gene regulation and changes in their expression may be associated with response to anticancer therapies. For example, expression of let-7f, an miRNA that targets CYP19A1, has been observed to increase after letrozole treatment in MCF-7 cells (4).
The aim of this study was to identify whether polymorphisms in the 5′-flanking region of the CYP19A1 exon 1.1 and/or the expression of miRNAs predicted to target the aromatase transcript are associated with aromatase RNA expression or response to three-month neoadjuvant anastrazole treatment in a cohort of patients with postmenopausal breast cancer.
Materials and methods
Patients
The tumor samples and clinical data were collected with the approval of the ‘Fondazione S. Maugeri’ ethics committee and informed consent from the patient. The 37 patients enrolled into this study between July 2004 and November 2007, were postmenopausal and had breast cancer of stage T2 or T3, diameter >2.5 cm, any lymph node status and no distant metastasis (5). The tumors were HER2/neu− and ER+/PgR+, with the exception of two that were ER+/PgR−(5). The patients received neoadjuvant therapy with anastrozole (Arimidex™; AstraZeneca, London, UK) 1 mg/day PO for three months. The clinical response was evaluated by serial tumor clinical examination and mammary ultrasound bidimensional measurements, performed by a single operator prior to, during and following treatment. Patients with a reduction in tumor volume of ≥30%, according to RECIST criteria (6) were classified as responders (Rs).
Sequence analysis
Total DNA was extracted from 37 formalin-fixed, paraffin-embedded breast cancer biopsies using High Pure PCR Template Preparation kit (Roche Molecular Biochemicals, Basel, Switzerland), according to the manufacturer’s instructions.
For dye-labeled terminator sequencing, DNA samples were amplified by PCR for rs6493497 and rs7176005 polymorphic sites in the 5′-flanking region of CYP19 exon 1.1. The oligo-nucleotide sequences are listed in Table I. PCR was carried out in a reaction volume of 25 μl containing ∼100 ng genomic DNA, 50 mM KCl, 10 mM Tris-HCl pH 8.3, 1.5 mM MgCl2, bovine serum albumin (BSA 1 ng/μl, 200 μM dNTPs, 0.2 μM primer and 0.1 U/μl Taq polymerase. Amplification consisted of an initial denaturation at 95°C for 5 min, followed by 35 cycles of 1 min at 95°C, 1 min at 58°C and 1 min at 72°C, with a final extension at 72°C for 7 min.
PCR products were purified using the Wizard SV Gel and PCR Clean-Up system (Promega, Madison, WI, USA) and sequenced using a Big Dye Terminator V3.1 Cycle Sequencing kit and AB 3500Dx DNA Analyzer (Applied Biosystems, Foster City, CA, USA). All the sequencing data were analyzed by Variant Report 1.1 (Applied Biosystems).
Gene expression profiling
Gene expression profiling and data analysis of 17 Tru-cut biopsies and 13 matched surgical resections were performed as previously described (7). Aromatase mRNA expression was retrieved from the matrix containing the log2 of the ratios of the expressions of each gene in the breast samples and in the Human Universal Reference (Clontech, Palo Alto, CA, USA). Three different probes detected the aromatase gene in the Agilent 4x44k Whole Human Genome Oligo Microarray kit (Agilent Technologies, Palo Alto, CA, USA). The differences in aromatase expression between the Tru-cut and post-operatory samples were calculated.
Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) of CYP19A1
Total RNA was extracted from formalin-fixed, paraffin-embedded breast cancer pre-treatment and post-surgical biopsies using Recover All Nucleic Acid Isolation kit (Ambion Inc., Austin, TX, USA) according to the manufacturer’s instructions.
RT-qPCR was performed as previously described (7) to analyze CYP19A1 expression using commercial primers (Hs_CYP19A1_2_SG QuantiTect Primer assay; Qiagen, Duesseldorf, Germany). First strand cDNA synthesis was performed using 200 ng total RNA. Data were presented as log2 fold change of CYP19A1 expression in samples relative to the Universal Reference, after normalization with an endogenous control (RPLP0).
miRNA target prediction analysis
MiRanda, PITA, TargetScan and microCosm algorithms were used for the identification of putative miRNAs that target aromatase mRNA. miRNAs predicted by at least two algorithms were chosen for further analysis (miR-661, miR-1183, miR-1207-5p and miR-98). miR-378 was selected due to its known role in targeting aromatase in pigs (8).
RT-qPCR of miRNA
miR-378, miR-661, miR-1183, miR-1207-5p and miR-98 were evaluated in 29 samples, from which total RNA from pre-treatment biopsies was extracted. Reverse transcription and amplification were carried out according to the TaqMan Small RNA assay protocol (Life Technologies, Austin, TX, USA). RNU48 was selected as an example of ‘housekeeping’ miRNA.
Results
Patient classification
Using the response criteria, 19 patients were classified as Rs and 18 as non-responders (NRs) (5). Only one patient (10050) showed disease progression during the treatment.
Aromatase polymorphism analysis
Of the 37 genomic DNAs, 29 were successfully sequenced for the rs6493497 polymorphism, showing the presence of the variant base in three samples (10028, 10043 and 10056). Thirty-three out of 37 genomic DNAs were successfully sequenced for the rs7176005 polymorphism, showing the presence of the variant base in the same three samples (10028, 10043 and 10056). However, two of the three polymorphic samples were NR (10028 and 10056), whereas one (10043) showed 39% response.
Aromatase expression analysis
Aromatase expression values from gene expression profiles were available for 13 biopsies and corresponding surgical resections (5). RT-qPCR values were available for 3 further pre/post treatment pairs (Table II).
Table II.Difference between CYP19A1 expression (log2 ratio of sample with respect to Human Universal Reference Total RNA) before and after anastrazole treatment. |
CYP19A1 expression differences following treatment are listed in Table II. Sample 10056 (NR) showed a decrease in aromatase expression, whereas for sample 10028 (NR) the difference between pre- and post-treatment expression was negligible. Sample 10043 (R), however, showed the second highest positive differential value and the highest among R patients.
Prior to treatment, the aromatase expression level in sample 10056 (NR) was the second highest among all the patients and the highest among NRs, while sample 10043 (R) showed the lowest expression level before treatment among all the patients. Pre-treatment sample 10028 (NR) expression, however, was close to the average (Table III).
Table III.CYP19A1 expression (log2 ratio of sample with respect to Human Universal Reference Total RNA) in TC sample RNAs. |
Aromatase miRNA analysis
The correlation was calculated between miRNA expression and response to therapy or aromatase expression. No correlation was observed between miRNAs and therapy response.
Differential expression was evaluated for each miRNA in R versus NR patients. The overall mean expression level was higher in the Rs than in NRs for miR-98, miR-1183 and miR-1207, while it was lower for miR-378 and miR-661, with no statistically significant results for any of the miRNAs (P>0.05; Table IV).
Statistical analysis
Class comparison between R and NR was performed using an unpaired Student’s t-test. P<0.05 was considered to indicate a statistically significant result.
Discussion
Colomer et al(9) identified an association between the presence of the rs4646 single-nucleotide polymorphism in the 3′ untranslated region of the aromatase gene and efficacy of the AI letrozole, in terms of complete response rate and time to progression in 67 HR+ (hormone-receptor positive) advanced breast cancer postmenopausal patients. This polymorphism was also observed to be associated with poor response to letrozole neoadjuvant treatment and to poor outcome in elderly HR+ postmenopausal patients (10).
More recently, three single nucleotide polymorphisms of CYP19A1 (rs700518, rs10459592 and rs4775936) were demonstrated to predict clinical outcome and adverse events associated with letrozole treatment in patients with metastatic breast cancer (11).
In another study, rs6493497 and rs7176005 polymorphisms were shown to induce a very great decrease in the aromatase enzymatic activity following AI neoadjuvant treatment and to influence the ability of regulatory proteins to bind DNA at the CYP19A1 promoter (3). On the basis of these findings, the authors hypothesized that rs6493497 and rs7176005 polymorphisms may also affect aromatase transcriptional regulation (3).
The present study of 37 postmenopausal breast cancer patients confirms the close association between the two polymorphisms, as the two variant sequences were observed in the same samples. However, our data are unable to clarify the expression modulation. One (sample 10056) of three polymorphic samples confirmed the hypothesis of Wang et al(3), showing the second highest pre-treatment expression level among all the patients (the highest among NRs) and a negative expression difference after neoadjuvant therapy, which may be considered an indicator of a reduction in aromatase transcription. Sample 10028 did not show a high basal expression and the difference between pre- and post-treatment was negligible. In disagreement with the hypothesis of Wang et al(3), sample 10043 showed the second highest increase in aromatase expression (the highest among Rs) and the lowest basal expression level among all the samples. Therefore, the presence of the two SNPs does not appear to be associated with response to treatment, nor with aromatase transcriptional modulation. The R samples showed an increased aromatase expression, whereas aromatase expression decreased or did not change in NRs.
In addition, the greatest reduction of expression between pre- and post-treatment specimens occurred in sample 10013, classified among Rs and showing a wild-type sequence. Furthermore, samples 10051 and 10054 show the highest increase in aromatase expression among NRs, suggesting that resistance to anastrazole is achieved by alternative mechanisms that are independent of CYP19A1 expression modulation.
In a previous study by our group (7), gene expression profiles prior to and following therapy were used to investigate differences in expression changes between Rs and NRs and to identify a gene expression signature associated with response to therapy. Notably, unsupervised clustering analysis, using the genes with higher gene expression changes after anastrozole treatment, classified 10028 and 10056 samples within the R group, although their percentage of response was <30%. By contrast, the 54-gene signature was able to predict response in 100% of cases, indicative that the molecular features of the tumors are stronger determinants of response than the presence of the two investigated polymorphisms.
We also investigated any difference at the global gene expression level between polymorphic and non-polymorphic samples. However, due to the small size of the samples, we were unable to identify critical differentially expressed genes or remarkable metabolic processes between the two groups.
Since the cross-talk between miRNAs and protein coding genes often represents a fine regulation circuit in the response to numerous anticancer therapies, we analyzed the expression levels of five miRNAs predicted to target aromatase (miR-378, miR-661, miR-1183, miR-1207-5p and miR-98). No statistically significant correlation was observed with aromatase mRNA expression nor with response to anastrozole neoadjuvant treatment.
These data indicate that the polymorphisms analyzed are not involved in aromatase activity. However, epigenetic mechanisms that regulate aromatase protein expression deserve further investigation and may be taken into account to select patients for anastrozole neoadjuvant treatment.
Acknowledgements
The authors would like to thank Dr Annalisa Lanza, from Fondazione Maugeri, for sample storage and delivery.
References
Yue W, Wang JP, Hamilton CJ, et al: In situ aromatization enhances breast tumor estradiol levels and cellular proliferation. Cancer Res. 58:927–932. 1998.PubMed/NCBI | |
Brueggemeier RW, Hackett JC and Diaz-Cruz ES: Aromatase inhibitors in the treatment of breast cancer. Endocr Rev. 26:331–345. 2005. View Article : Google Scholar : PubMed/NCBI | |
Wang L, Ellsworth KA, Moon I, et al: Functional genetic polymorphisms in the aromatase gene CYP19 vary the response of breast cancer patients to neoadjiuvant therapy with aromatase inhibitors. Cancer Res. 70:319–328. 2010. View Article : Google Scholar : PubMed/NCBI | |
Shibahara Y, Miki Y, Onodera Y, et al: Aromatase inhibitor treatment of breast cancer cells increases the expression of let-7f, a microRNA targeting CYP19A1. J Pathol. 227:357–366. 2012. View Article : Google Scholar : PubMed/NCBI | |
Ghimenti C, Mello Grand M, Regolo L, Zambelli A and Chiorino G: Absence of K303R estrogen receptor-α mutation in breast cancer patients with different response to aromatase inhibitor anastrozole neoadjuvant treatment. Exp Ther Med. 1:939–942. 2010. | |
Therasse P, Arbuck SG, Eisenhauer EA, et al: New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. J Natl Cancer Inst. 92:205–216. 2000. View Article : Google Scholar | |
Mello-Grand M, Singh V, Ghimenti C, et al: Gene expression profiling and prediction of response to hormonal neoadjuvant treatment with anastrozole in surgically resectable breast cancer. Breast Cancer Res Treat. 121:399–411. 2010. View Article : Google Scholar : PubMed/NCBI | |
Xu S, Linher-Melville K, Yang BB, et al: Micro-RNA378 (miR-378) regulates ovarian estradiol production by targeting aromatase. Endocrinology. 152:3941–3951. 2011. View Article : Google Scholar : PubMed/NCBI | |
Colomer R, Monzo M, Tusquets I, et al: A single-nucleotide polymorphism in the aromatase gene is associated with the efficacy of the aromatase inhibitor letrozole in advanced breast carcinoma. Clin Cancer Res. 14:811–816. 2008. View Article : Google Scholar : PubMed/NCBI | |
Garcia-Casado Z, Guerrero-Zotano A, Llombart-Cussac A, et al: A polymorphism at the 3′-UTR region of the aromatase gene defines a subgroup of postmenopusal breast cancer patients with poor response to neoadjuvant letrozole. BMC Cancer. 10:362010. | |
Park IH, Lee YS and Lee KS: Single nucleotide polymorphisms of CYP19A1 predict clinical outcomes and adverse events associated with letrozole in patients with metastatic breast cancer. Cancer Chemother Pharmacol. 68:1263–1271. 2011. View Article : Google Scholar : PubMed/NCBI |