Role of aromatase inhibitors in breast cancer.
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ABSTRACT:
SUBMITTER: Carpenter R
PROVIDER: S-EPMC2361691 | biostudies-other | 2005 Aug
REPOSITORIES: biostudies-other
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Project description:Women with breast cancer have an increased prevalence and incidence of fractures. This increased risk of fracture has become most evident following the use of aromatase inhibitors (AIs) as standard adjuvant therapy. AI-induced bone loss occurs at more than twice the rate of physiologic postmenopausal bone loss. Moreover, peripheral quantitative computed tomography data indicate that effects of AIs on bone strength and on cortical bone have been substantially underestimated by dual-energy X-ray absorptiometry. All AIs have been associated with an increased fracture risk. The incidence of fractures is at least 33-43% higher in AI-treated patients than in tamoxifen-treated patients, and this increase in fracture risk is maintained at least for the duration of AI therapy. Over the last few years, clinical trials have established the effectiveness of bisphosphonates and denosumab to preserve and even increase bone mineral density (BMD) during adjuvant AIs. Most data have been obtained with zoledronic acid administered twice a year, which effectively maintains or increases BMD in women receiving AIs. In addition, zoledronic acid has been shown to delay disease recurrence and maybe prolong survival in women with hormone-responsive tumors, thereby providing an adjuvant antitumor benefit besides preserving BMD. It is likely that a combined fracture risk assessment will more accurately identify women with breast cancer who require bone protective therapy. The FRAX tool probably underestimates the net increase in fracture risk due to AI therapy. Recent guidelines for the prevention of AI-induced bone loss have adequately considered the presence of several established clinical risk factors for fractures, in addition to BMD, when selecting patients to be treated with inhibitors of bone resorption.
| S-EPMC4056949 | biostudies-literature
Project description:To investigate the effect of aromatase inhibitors (AI) on intestinal calcium absorption, measured using the gold-standard dual stable calcium isotope method. In this pilot study, we recruited 10 postmenopausal women with hormone receptor-positive breast cancer who planned to initiate AI therapy; women receiving chemotherapy were excluded. Women completed two 24 h inpatient calcium absorption study visits, the first prior to AI therapy and the second at least 6 weeks following onset of AI therapy. We calculated total fractional calcium absorption (TFCA) using the dose-corrected fractional recovery of two stable isotopes from 24 h urine collections. Ten postmenopausal women (mean±SD age, 66±7 years; 25(OH)D 40±7 ng/mL, and total calcium intake of 1,714±640 mg/day) exhibited no change in TFCA related to AI therapy (0.155±0.042 prior to and 0.160±0.064 following AI therapy, p=1.0). Subjects exhibited a surprisingly small decline in serum estradiol levels with AI therapy that was not statistically significant. However, there was a significant correlation between duration of AI therapy and the decline in serum estradiol levels (r=-0.65, p=0.040). In this pilot study, AI therapy did not decrease TFCA. Women with early stage breast cancer exhibited an unexpectedly low TFCA, most likely due to their high calcium intake. The null effect of AI therapy on TFCA might relate to the brief duration of AI therapy, the minimal effect of AI therapy on estradiol levels, subjects' high calcium intake or excellent vitamin D status.
| S-EPMC3376688 | biostudies-literature
Project description:A cross-sectional study was performed to assess bone health history among aromatase inhibitor (AI) users before breast cancer (BC) diagnosis, which may impact fracture risk after AI therapy and choice of initial hormonal therapy. A total of 2,157 invasive BC patients initially treated with an AI were identified from a prospective cohort study at Kaiser Permanente Northern California (KPNC). Data on demographic and lifestyle factors were obtained from in-person interviews, and bone health history and clinical data from KPNC clinical databases. The prevalence of osteoporosis and fractures in postmenopausal AI users was assessed, compared with 325 postmenopausal TAM users. The associations of bone health history with demographic and lifestyle factors in AI users were also examined. Among all initial AI users, 11.2% had a prior history of osteoporosis, 16.3% had a prior history of any fracture, and 4.6% had a prior history of major fracture. Postmenopausal women who were taking TAM as their initial hormonal therapy had significantly higher prevalence of prior osteoporosis than postmenopausal AI users (21.5% vs. 11.8%, p<0.0001). Among initial AI users, the associations of history of osteoporosis and fracture in BC patients with demographic and lifestyle factors were, in general, consistent with those known in healthy older women. This study is one of the first to characterize AI users and risk factors for bone morbidity before BC diagnosis. In the future, this study will examine lifestyle, molecular, and genetic risk factors for AI-induced fractures.
| S-EPMC4213031 | biostudies-other
Project description:The role of the general internist in the care of breast cancer survivors is increasing as the number of women living with breast cancer continues to rise. Most breast cancers occurring in women older than 50 years are estrogen receptor- and/or progesterone receptor-positive, and adjuvant endocrine therapy plays an important role in the treatment plan. Aromatase inhibitors are becoming the preferred endocrine therapy, and general internists caring for breast cancer survivors need to be familiar with their use and adverse effect profile. This article reviews the use of aromatase inhibitors, the frequency of common adverse effects, and strategies for their management.
| S-EPMC2878260 | biostudies-literature
Project description:Purpose: Preoperative aromatase inhibitor (AI) therapy has demonstrated efficacy in hormone receptor (HR)-positive postmenopausal breast cancer. However, many patients have disease that is either intrinsically resistant to AIs or that responds initially but develops resistance after prolonged exposure. We have shown that patients with breast tumors expressing the deregulated forms of cyclin E [low molecular weight forms (LMW-E)] have poor overall survival. Herein, we hypothesize that LMW-E expression can identify HR-positive tumors that are unresponsive to neoadjuvant AI therapy due to the inability of AIs to induce a cytostatic effect.Experimental Design: LMW-E was examined in breast cancer specimens from 58 patients enrolled in the American College of Surgeons Oncology Group Z1031, a neoadjuvant AI clinical trial. The mechanisms of LMW-E-mediated resistance to AI were evaluated in vitro and in vivo using an inducible model system of cyclin E (full-length and LMW-E) in aromatase-overexpressing MCF7 cells.Results: Breast cancer recurrence-free interval was significantly worse in patients with LMW-E-positive tumors who received AI neoadjuvant therapy, compared with those with LMW-E negative tumors. Upon LMW-E induction, MCF7 xenografts were unresponsive to letrozole in vivo, resulting in increased tumor volume after treatment with AIs. LMW-E expression overcame cell-cycle inhibition by AIs in a CDK2/Rb-dependent manner, and inhibition of CDK2 by dinaciclib reversed LMW-E-mediated resistance, whereas treatment with palbociclib, a CDK4/6 inhibitor, did not.Conclusions: Collectively, these findings suggest that cell-cycle deregulation by LMW-E mediates resistance to AIs and a combination of CDK2 inhibitors and AIs may be an effective treatment in patients with HR-positive tumors that express LMW-E. Clin Cancer Res; 23(23); 7288-300. ©2017 AACR.
| S-EPMC5768442 | biostudies-literature
Project description:The association between use of aromatase inhibitors (AIs) and cardiovascular outcomes is controversial. While some observational studies have assessed the cardiovascular safety of AIs as upfront treatments, their cardiotoxicity as sequential treatments with tamoxifen remains unknown. Thus, we conducted a population-based cohort study using data from the United Kingdom Clinical Practice Research Datalink linked to the Hospital Episode Statistics and Office for National Statistics databases. We employed a prevalent new-user design to propensity-score match, in a 1:2 ratio, patients switching from tamoxifen to AIs with patients continuing tamoxifen between 1998 and 2016. Cox proportional hazards models were used to estimate hazard ratios and 95% confidence intervals for the study outcomes (myocardial infarction, ischemic stroke, heart failure, and cardiovascular mortality). Overall, 1,962 patients switching to AIs were matched to 3,874 patients continuing tamoxifen. Compared with tamoxifen, AIs were associated with an increased risk of myocardial infarction (hazard ratio (HR) = 2.08, 95% confidence interval (CI): 1.02, 4.27). The hazard ratios were elevated for ischemic stroke (HR = 1.58, 95% CI: 0.85, 2.93) and heart failure (HR = 1.69, 95% CI: 0.79, 3.62) but not cardiovascular mortality (HR = 0.87, 95% CI: 0.49, 1.54), with confidence intervals including the null value. The elevated hazard ratios observed for the cardiovascular outcomes should be corroborated in future large observational studies.
| S-EPMC7666418 | biostudies-literature
Project description:Aromatase inhibitors (AI) are extensively used in the treatment of estrogen receptor-positive breast cancers, however resistance to AI treatment is commonly observed. Apart from Estrogen receptor (ERα) expression, no predictive biomarkers for response to AI treatment are clinically applied. Yet, since other therapeutic options exist in the clinic, such as tamoxifen, there is an urgent medical need for the development of treatment-selective biomarkers, enabling personalized endocrine treatment selection in breast cancer. In the described dataset, ERα chromatin binding and histone marks H3K4me3 and H3K27me3 were assessed in a genome-wide manner by Chromatin Immunoprecipitation (ChIP) combined with massive parallel sequencing (ChIP-seq). These datasets were used to develop a classifier to stratify breast cancer patients on outcome after AI treatment in the metastatic setting. Here we describe in detail the data and quality control metrics, as well as the clinical information associated with the study, published by Jansen et al. [1]. The data is publicly available through the GEO database with accession number GSE40867.
| S-EPMC4536071 | biostudies-literature
Project description:BackgroundThe benefit of adjuvant aromatase inhibitors (AI) vs tamoxifen has been investigated in randomized clinical trials for premenopausal and postmenopausal patients with early, estrogen receptor-positive (ER+) breast cancer. The optimal endocrine treatment for chemotherapy-treated perimenopausal women, who generally develop chemotherapy-induced amenorrhea, is uncertain.MethodsAll Dutch women who received adjuvant chemotherapy and endocrine treatment for stage I-III, ER+ (>10% positive cells), invasive breast cancer diagnosed between 2004 and 2007 were identified through the Netherlands Cancer Registry. Included women were considered perimenopausal based on an age at diagnosis of 45 to 50 years (n = 2295). For each patient, AI treatment duration relative to total endocrine treatment duration was calculated. Predominantly tamoxifen-treated patients (AI < 25%) were compared with those receiving AI and tamoxifen for a similar duration (AI 25%-75%) and those mostly using AI (AI > 75%). Adjusted hazard ratios (HRs) for recurrence-free survival (RFS) and overall survival were calculated using time-dependent Cox regression.ResultsAfter an average follow-up of 7.6 years, 377 RFS events occurred. Women mostly receiving AI (AI > 75%) had the best RFS (adjusted HR = 0.63, 95% confidence interval = 0.46 to 0.86) followed by those receiving AI 25% to 75% (adjusted HR = 0.85, 95% confidence interval = 0.65 to 1.12) compared with predominantly tamoxifen-treated women. Trend analyses showed that every 10% increase in AI-endocrine treatment ratio reduced RFS event risk by 5% (2-sided Ptrend = .002). In total, 236 deaths occurred; hazard ratios for overall survival showed similar trends.ConclusionsThese results suggest that the best adjuvant endocrine treatment for chemotherapy-treated, ER+ breast cancer patients diagnosed aged 45-50 years consists of mainly AI followed by a switch strategy and mainly tamoxifen.
| S-EPMC8562974 | biostudies-literature
Project description:Aromatase inhibitors (AI) are drugs that are widely used in treating estrogen receptor (ER)-positive breast cancer patients. Drug resistance is a major obstacle to aromatase inhibition therapy. There are diverse reasons behind acquired AI resistance. This study aims at identifying the plausible cause of acquired AI resistance in patients administered with non-steroidal AIs (anastrozole and letrozole). We used genomic, transcriptomic, epigenetic, and mutation data of breast invasive carcinoma from The Cancer Genomic Atlas database. The data was then separated into sensitive and resistant sets based on patients' responsiveness to the non-steroidal AIs. A sensitive set of 150 patients and a resistant set of 172 patients were included for the study. These data were collectively analyzed to probe into the factors that might be responsible for AI resistance. We identified 17 differentially regulated genes (DEGs) among the two groups. Then, methylation, mutation, miRNA, copy number variation, and pathway analyses were performed for these DEGs. The top mutated genes (FGFR3, CDKN2A, RNF208, MAPK4, MAPK15, HSD3B1, CRYBB2, CDC20B, TP53TG5, and MAPK8IP3) were predicted. We also identified a key miRNA - hsa-mir-1264 regulating the expression of CDC20B. Pathway analysis revealed HSD3B1 to be involved in estrogen biosynthesis. This study reveals the involvement of key genes that might be associated with the development of AI resistance in ER-positive breast cancers and hence may act as a potential prognostic and diagnostic biomarker for these patients.
| S-EPMC10326531 | biostudies-literature
Project description:PURPOSE:Aromatase inhibitors (AIs) are a potentially life-saving treatment for breast cancer survivors, yet poor adherence to treatment is a prevalent problem. A common adverse effect of AI treatment is arthralgia, which is identified by survivors as a major reason for treatment discontinuation. Women who experience arthralgia on AIs often report feeling they have aged rapidly while on the treatment. In the present study, we examined whether arthralgia-associated ageing perceptions predicted non-adherence. PATIENTS AND METHODS:We conducted a prospective cohort study among women with stage I-III breast cancer, who were on an AI and completed the Penn Arthralgia Aging Scale within 2 years of AI initiation. Adherence data were abstracted from medical charts by trained raters. Cox proportional hazard analysis was used to determine the relationship between ageing perceptions and time to non-adherence. All analyses included adjustments for joint pain severity. RESULTS:Among 509 participants, 144 (28.3%) were non-adherent. As hypothesised, women with high levels of ageing perceptions were at greater risk of non-adherence than women with low levels of ageing perceptions (adjusted hazard ratio [HR], 1.71; 95% confidence interval [CI], 1.10-2.67; p = .02). High levels of depressive symptoms were also uniquely associated with increased risk of non-adherence (adjusted HR, 1.63; 95% CI, 1.03-2.59; p = .04). CONCLUSION:Perceptions of ageing related to arthralgia and depressive symptoms predicted non-adherence to AIs. These findings suggest that interventions that address negative beliefs about ageing due to AI-related arthralgia and depressive mood can potentially improve rates of adherence to AIs.
| S-EPMC5803454 | biostudies-other