CYP19A1

Gene Summary

Gene:CYP19A1; cytochrome P450 family 19 subfamily A member 1
Aliases: ARO, ARO1, CPV1, CYAR, CYP19, CYPXIX, P-450AROM
Location:15q21.2
Summary:This gene encodes a member of the cytochrome P450 superfamily of enzymes. The cytochrome P450 proteins are monooxygenases which catalyze many reactions involved in drug metabolism and synthesis of cholesterol, steroids and other lipids. This protein localizes to the endoplasmic reticulum and catalyzes the last steps of estrogen biosynthesis. Mutations in this gene can result in either increased or decreased aromatase activity; the associated phenotypes suggest that estrogen functions both as a sex steroid hormone and in growth or differentiation. Alternative promoter use and alternative splicing results in multiple transcript variants that have different tissue specificities. [provided by RefSeq, Dec 2016]
Databases:OMIM, HGNC, Ensembl, GeneCard, Gene
Protein:aromatase
Source:NCBIAccessed: 31 August, 2019

Ontology:

What does this gene/protein do?
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Cancer Overview

Research Indicators

Publications Per Year (1994-2019)
Graph generated 31 August 2019 using data from PubMed using criteria.

Literature Analysis

Mouse over the terms for more detail; many indicate links which you can click for dedicated pages about the topic.

Tag cloud generated 31 August, 2019 using data from PubMed, MeSH and CancerIndex

Specific Cancers (7)

Data table showing topics related to specific cancers and associated disorders. Scope includes mutations and abnormal protein expression.

Note: list is not exhaustive. Number of papers are based on searches of PubMed (click on topic title for arbitrary criteria used).

Latest Publications: CYP19A1 (cancer-related)

Saha T, Makar S, Swetha R, et al.
Estrogen signaling: An emanating therapeutic target for breast cancer treatment.
Eur J Med Chem. 2019; 177:116-143 [PubMed] Related Publications
Breast cancer, a most common malignancy in women, was known to be associated with steroid hormone estrogen. The discovery of estrogen receptor (ER) gave us not only a powerful predictive and prognostic marker, but also an efficient target for the treatment of hormone-dependent breast cancer with various estrogen ligands. ER consists of two subtypes i.e. ERα and ERβ, that are mostly G-protein-coupled receptors and activated by estrogen, specially 17β-estradiol. The activation is followed by translocation into the nucleus and binding with DNA to modulate activities of different genes. ERs can manage synthesis of RNA through genomic actions without directly binding to DNA. Receptors are tethered by protein-protein interactions to a transcription factor complex to communicate with DNA. Estrogens also exhibit nongenomic actions, a characteristic feature of steroid hormones, which are so rapid to be considered by the activation of RNA and translation. These are habitually related to stimulation of different protein kinase cascades. Majority of post-menopausal breast cancer is estrogen dependent, mostly potent biological estrogen (E2) for continuous growth and proliferation. Estrogen helps in regulating the differentiation and proliferation of normal breast epithelial cells. In this review we have investigated the important role of ER in development and progression of breast cancer, which is complicated by receptor's interaction with co-regulatory proteins, cross-talk with other signal transduction pathways and development of treatment strategies viz. selective estrogen receptor modulators (SERMs), selective estrogen receptor down regulators (SERDs), aromatase and sulphatase inhibitors.

Perone Y, Farrugia AJ, Rodríguez-Meira A, et al.
SREBP1 drives Keratin-80-dependent cytoskeletal changes and invasive behavior in endocrine-resistant ERα breast cancer.
Nat Commun. 2019; 10(1):2115 [PubMed] Free Access to Full Article Related Publications
Approximately 30% of ERα breast cancer patients relapse with metastatic disease following adjuvant endocrine therapies. The connection between acquisition of drug resistance and invasive potential is poorly understood. In this study, we demonstrate that the type II keratin topological associating domain undergoes epigenetic reprogramming in aromatase inhibitors (AI)-resistant cells, leading to Keratin-80 (KRT80) upregulation. KRT80 expression is driven by de novo enhancer activation by sterol regulatory element-binding protein 1 (SREBP1). KRT80 upregulation directly promotes cytoskeletal rearrangements at the leading edge, increased focal adhesion and cellular stiffening, collectively promoting cancer cell invasion. Shearwave elasticity imaging performed on prospectively recruited patients confirms KRT80 levels correlate with stiffer tumors. Immunohistochemistry showed increased KRT80-positive cells at relapse and, using several clinical endpoints, KRT80 expression associates with poor survival. Collectively, our data uncover an unpredicted and potentially targetable direct link between epigenetic and cytoskeletal reprogramming promoting cell invasion in response to chronic AI treatment.

Sabol RA, Beighley A, Giacomelli P, et al.
Obesity-Altered Adipose Stem Cells Promote ER⁺ Breast Cancer Metastasis through Estrogen Independent Pathways.
Int J Mol Sci. 2019; 20(6) [PubMed] Free Access to Full Article Related Publications
Adipose stem cells (ASCs) play an essential role in tumor microenvironments. These cells are altered by obesity (obASCs) and previous studies have shown that obASCs secrete higher levels of leptin. Increased leptin, which upregulates estrogen receptor alpha (ERα) and aromatase, enhances estrogen bioavailability and signaling in estrogen receptor positive (ER⁺) breast cancer (BC) tumor growth and metastasis. In this study, we evaluate the effect of obASCs on ER⁺BC outside of the ERα signaling axis using breast cancer models with constitutively active ERα resulting from clinically relevant mutations (Y537S and D538G). We found that while obASCs promote tumor growth and proliferation, it occurs mostly through abrogated estrogen signaling when BC has constitutive ER activity. However, obASCs have a similar promotion of metastasis irrespective of ER status, demonstrating that obASC promotion of metastasis may not be completely estrogen dependent. We found that obASCs upregulate two genes in both ER wild type (WT) and ER mutant (MUT) BC:

Zografos E, Anagnostopoulos AK, Papadopoulou A, et al.
Serum Proteomic Signatures of Male Breast Cancer.
Cancer Genomics Proteomics. 2019 Mar-Apr; 16(2):129-137 [PubMed] Free Access to Full Article Related Publications
BACKGROUND: To date, the elucidation of serum protein alterations in male breast cancer (MBC) has not been extensively studied, due to the rarity of the disease.
MATERIALS AND METHODS: In the present work, two-dimensional gel electrophoresis (2-DE) and matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) were employed to detect differences in serum protein expression between patients with MBC and healthy controls.
RESULTS: A panel of differentially expressed serum proteins was identified, including proteins involved in the regulation of the cell cycle [e.g. cell division cycle 7-related protein kinase (CDC7)], in mitochondrial function [e.g. mitochondrial aldehyde dehydrogenase (ALDH2) and dimethyladenosine transferase 1 (TFB1M)], in lipid metabolism and transport [e.g. apolipoprotein A-I (APOA1) and E (APOE)], in apoptosis and immune response [e.g. CD5 antigen-like (CD5L), clusterin (CLUS) and C-C motif chemokine 14 (CCL14)], in transcription (e.g. protein SSX3 and signal transducer and activator of transcription 3 (STAT3)], in invasion and metastasis (e.g. alpha-2-HS-glycoprotein (FETUA)], in estrogen synthesis [aromatase (CYP19A1)] and other diverse biological roles [e.g. actin-related protein 2/3 complex subunit 4 (ARPC4), dual specificity mitogen-activated protein kinase kinase 4 (MP2K4), ectoderm-neural cortex protein 1 (ENC1), and matrix metalloproteinase-27 (MMP27)].
CONCLUSION: These findings provide valuable insight into the distinct clinicopathological features of MBC and indicate that select serum proteomic markers may help improve MBC management.

Ruffalo M, Thomas R, Chen J, et al.
Network-guided prediction of aromatase inhibitor response in breast cancer.
PLoS Comput Biol. 2019; 15(2):e1006730 [PubMed] Free Access to Full Article Related Publications
Prediction of response to specific cancer treatments is complicated by significant heterogeneity between tumors in terms of mutational profiles, gene expression, and clinical measures. Here we focus on the response of Estrogen Receptor (ER)+ post-menopausal breast cancer tumors to aromatase inhibitors (AI). We use a network smoothing algorithm to learn novel features that integrate several types of high throughput data and new cell line experiments. These features greatly improve the ability to predict response to AI when compared to prior methods. For a subset of the patients, for which we obtained more detailed clinical information, we can further predict response to a specific AI drug.

Smid M, Wilting SM, Uhr K, et al.
The circular RNome of primary breast cancer.
Genome Res. 2019; 29(3):356-366 [PubMed] Article available free on PMC after 01/09/2019 Related Publications
Circular RNAs (circRNAs) are a class of RNAs that is under increasing scrutiny, although their functional roles are debated. We analyzed RNA-seq data of 348 primary breast cancers and developed a method to identify circRNAs that does not rely on unmapped reads or known splice junctions. We identified 95,843 circRNAs, of which 20,441 were found recurrently. Of the circRNAs that match exon boundaries of the same gene, 668 showed a poor or even negative (

Waks AG, Winer EP
Breast Cancer Treatment: A Review.
JAMA. 2019; 321(3):288-300 [PubMed] Related Publications
Importance: Breast cancer will be diagnosed in 12% of women in the United States over the course of their lifetimes and more than 250 000 new cases of breast cancer were diagnosed in the United States in 2017. This review focuses on current approaches and evolving strategies for local and systemic therapy of breast cancer.
Observations: Breast cancer is categorized into 3 major subtypes based on the presence or absence of molecular markers for estrogen or progesterone receptors and human epidermal growth factor 2 (ERBB2; formerly HER2): hormone receptor positive/ERBB2 negative (70% of patients), ERBB2 positive (15%-20%), and triple-negative (tumors lacking all 3 standard molecular markers; 15%). More than 90% of breast cancers are not metastatic at the time of diagnosis. For people presenting without metastatic disease, therapeutic goals are tumor eradication and preventing recurrence. Triple-negative breast cancer is more likely to recur than the other 2 subtypes, with 85% 5-year breast cancer-specific survival for stage I triple-negative tumors vs 94% to 99% for hormone receptor positive and ERBB2 positive. Systemic therapy for nonmetastatic breast cancer is determined by subtype: patients with hormone receptor-positive tumors receive endocrine therapy, and a minority receive chemotherapy as well; patients with ERBB2-positive tumors receive ERBB2-targeted antibody or small-molecule inhibitor therapy combined with chemotherapy; and patients with triple-negative tumors receive chemotherapy alone. Local therapy for all patients with nonmetastatic breast cancer consists of surgical resection, with consideration of postoperative radiation if lumpectomy is performed. Increasingly, some systemic therapy is delivered before surgery. Tailoring postoperative treatment based on preoperative treatment response is under investigation. Metastatic breast cancer is treated according to subtype, with goals of prolonging life and palliating symptoms. Median overall survival for metastatic triple-negative breast cancer is approximately 1 year vs approximately 5 years for the other 2 subtypes.
Conclusions and Relevance: Breast cancer consists of 3 major tumor subtypes categorized according to estrogen or progesterone receptor expression and ERBB2 gene amplification. The 3 subtypes have distinct risk profiles and treatment strategies. Optimal therapy for each patient depends on tumor subtype, anatomic cancer stage, and patient preferences.

Sun Y, Wang W, Guo Y, et al.
High copper levels in follicular fluid affect follicle development in polycystic ovary syndrome patients: Population-based and in vitro studies.
Toxicol Appl Pharmacol. 2019; 365:101-111 [PubMed] Related Publications
Although the adverse effects of copper overexposure on the liver, kidney, spleen and intestinal organs are well known, information about the impact of copper toxicity on human reproduction is limited. A total of 348 infertile patients were enrolled in our present study, including 89 with polycystic ovary syndrome (PCOS), 145 with fallopian tube obstruction and 114 controls. The follicular fluid concentrations of 22 trace elements were measured by inductively coupled plasma mass spectrometry (ICP-MS). Principal component analysis was used to identify trace element profile alterations in different groups. The mRNA levels of steroidogenesis-related genes were measured by real-time PCR. Our results showed that the trace element profile in follicular fluid was obviously altered in PCOS patients. Copper concentrations were significantly (p < .05) higher in the PCOS group than in the other two groups. Increased copper levels in follicular fluid were associated with a higher number of retrievable oocytes in the PCOS group (B = 1.785, p = .001) but a lower rate of high-quality embryos (B = -6.360, p = .050). Moreover, follicular fluid copper levels were positively correlated with follicular fluid progesterone levels (r = 0.275, p = .010) and testosterone levels (r = 0.250, p = .022). Cultured human granulosa cells overexposed to copper showed significantly (p < .05) increased estradiol secretion and decreased testosterone levels. Real-time quantitative PCR revealed a significant (p < .05) increase in CYP19A1 and HSD3b mRNA expression. Our results indicate that increased copper levels in follicular fluid could affect follicle development in PCOS patients, and the mechanism may be related to copper-induced abnormalities in steroidogenesis.

Selli C, Turnbull AK, Pearce DA, et al.
Molecular changes during extended neoadjuvant letrozole treatment of breast cancer: distinguishing acquired resistance from dormant tumours.
Breast Cancer Res. 2019; 21(1):2 [PubMed] Article available free on PMC after 01/09/2019 Related Publications
BACKGROUND: The risk of recurrence for endocrine-treated breast cancer patients persists for many years or even decades following surgery and apparently successful adjuvant therapy. This period of dormancy and acquired resistance is inherently difficult to investigate; previous efforts have been limited to in-vitro or in-vivo approaches. In this study, sequential tumour samples from patients receiving extended neoadjuvant aromatase inhibitor therapy were characterised as a novel clinical model.
METHODS: Consecutive tumour samples from 62 patients undergoing extended (4-45 months) neoadjuvant aromatase inhibitor therapy with letrozole were subjected to transcriptomic and proteomic analysis, representing before (≤ 0), early (13-120 days), and long-term (> 120 days) neoadjuvant aromatase inhibitor therapy with letrozole. Patients with at least a 40% initial reduction in tumour size by 4 months of treatment were included. Of these, 42 patients with no subsequent progression were classified as "dormant", and the remaining 20 patients as "acquired resistant".
RESULTS: Changes in gene expression in dormant tumours begin early and become more pronounced at later time points. Therapy-induced changes in resistant tumours were common features of treatment, rather than being specific to the resistant phenotype. Comparative analysis of long-term treated dormant and resistant tumours highlighted changes in epigenetics pathways including DNA methylation and histone acetylation. The DNA methylation marks 5-methylcytosine and 5-hydroxymethylcytosine were significantly reduced in resistant tumours compared with dormant tissues after extended letrozole treatment.
CONCLUSIONS: This is the first patient-matched gene expression study investigating long-term aromatase inhibitor-induced dormancy and acquired resistance in breast cancer. Dormant tumours continue to change during treatment whereas acquired resistant tumours more closely resemble their diagnostic samples. Global loss of DNA methylation was observed in resistant tumours under extended treatment. Epigenetic alterations may lead to escape from dormancy and drive acquired resistance in a subset of patients, supporting a potential role for therapy targeted at these epigenetic alterations in the management of resistance to oestrogen deprivation therapy.

Liu XY, Yang YJ, Tang CL, et al.
Elevation of antimüllerian hormone in women with polycystic ovary syndrome undergoing assisted reproduction: effect of insulin.
Fertil Steril. 2019; 111(1):157-167 [PubMed] Related Publications
OBJECTIVE: To measure blood and follicular antimüllerian hormone (AMH) levels in women with polycystic ovary syndrome (PCOS) undergoing assisted reproductive technologies (ART) and to examine the direct action of insulin on AMH expression in human granulosa cells.
DESIGN: Prospective clinical and experimental study.
SETTING: University Hospital-based laboratory.
PATIENT(S): Women with (n = 86) and without (n = 172) PCOS in ART.
INTERVENTION(S): Blood, follicular fluid, and luteinized granulosa cells were collected from PCOS and non-PCOS women in ART.
MAIN OUTCOME MEASURE(S): Hormone levels in blood and fluid, and gene expression in granulosa cells.
RESULT(S): Serum levels of AMH were elevated and inversely correlated with embryo cleavage rate in PCOS women in ART. Significant higher levels of AMH were also found in small and large follicles collected from PCOS women compared with non-PCOS women. Luteinized granulosa cells from PCOS women showed higher expression of AMH and its receptor AMHR2. Direct effect of insulin in increasing the expression of AMH in the isolated luteinized granulosa cells was observed, with the PCOS granulosa cells responding to a high dose of insulin. Cotreatment with AMH attenuated insulin-induced aromatase expression in the luteinized granulosa cells.
CONCLUSION(S): These results suggest that insulin may contribute to AMH elevation in PCOS and that AMH counteracts insulin-promoted aromatase expression in granulosa cells.

Wege AK, Chittka D, Buchholz S, et al.
HER4 expression in estrogen receptor-positive breast cancer is associated with decreased sensitivity to tamoxifen treatment and reduced overall survival of postmenopausal women.
Breast Cancer Res. 2018; 20(1):139 [PubMed] Article available free on PMC after 01/09/2019 Related Publications
BACKGROUND: The sensitivity of estrogen receptor-positive breast cancers to tamoxifen treatment varies considerably, and the molecular mechanisms affecting the response rates are manifold. The human epidermal growth factor receptor-related receptor HER2 is known to trigger intracellular signaling cascades that modulate the activity of coregulators of the estrogen receptor which, in turn, reduces the cell sensitivity to tamoxifen treatment. However, the impact of HER2-related receptor tyrosine kinases HER1, HER3, and, in particular, HER4 on endocrine treatment is largely unknown.
METHODS: Here, we retrospectively evaluated the importance of HER4 expression on the outcome of tamoxifen- and aromatase inhibitor-treated estrogen receptor-positive breast cancer patients (n = 258). In addition, we experimentally analyzed the efficiency of tamoxifen treatment as a function of HER4 co-expression in vitro.
RESULTS: We found a significantly improved survival in tamoxifen-treated postmenopausal breast cancer patients in the absence of HER4 compared with those with pronounced HER4 expression. In accordance with this finding, the sensitivity to tamoxifen treatment of estrogen and HER4 receptor-positive ZR-75-1 breast cancer cells can be significantly enhanced by HER4 knockdown.
CONCLUSION: We suggest an HER4/estrogen receptor interaction that impedes tamoxifen binding to the estrogen receptor and reduces treatment efficiency. Whether the sensitivity to tamoxifen treatment can be enhanced by anti-HER4 targeting needs to be prospectively evaluated.

Subbaramaiah K, Iyengar NM, Morrow M, et al.
Prostaglandin E
J Biol Chem. 2019; 294(1):361-371 [PubMed] Article available free on PMC after 04/01/2020 Related Publications
Obesity increases the risk of hormone receptor-positive breast cancer in postmenopausal women. Levels of aromatase, the rate-limiting enzyme in estrogen biosynthesis, are increased in the breast tissue of obese women. Both prostaglandin E

Shih MC, Simon SD, Jin Z, et al.
Efficient Synthesis of Glutamate Peptide-Estradiol Conjugate for Imaging Estrogen Receptor-Positive Diseases.
Biomed Res Int. 2018; 2018:5208964 [PubMed] Article available free on PMC after 04/01/2020 Related Publications
Molecular imaging of estrogen receptor-positive (ER+) pathway-activated system serves the basis of ER+ disease management such as cancers and endometriosis. ER+ patients have better response to endocrine therapy and survive twice as long as negative ER patients. However, tumor resistance resulting from clinical used aromatase inhibitors and antiestrogens is unpredictable. Radiolabeled ER+ ligand could quantify ER+ tissue uptake which helps to stage and restage of the cancer as well as endometriosis. The differential diagnosis of ER+ lesions by using a labeled ligand helps to select the patients for optimal response to endocrine therapy and to discontinue the treatment when resistance occurs. In addition, radiolabeled ER+ ligand serves as basis for image-guided response follow-up. Glutamate receptors are cell surface receptors which are overexpressed in inflammation and infection. Using glutamate peptide as a drug carrier helps to target intracellular genes via glutamate receptor-mediated process. Reports have shown that polyglutamate is a drug carrier that could alter drug solubility and enhance estrogen receptor-ligand binding pocket. However, polyglutamate was a blend of mixed polymer with a wide range of molecular weight. Thus, the structural confirmation and purity of the conjugates were not optimized. To overcome this problem, the efficient synthesis of glutamate peptide-estradiol (GAP-EDL) conjugate was achieved with high purity. EDL was conjugated site-specific at the first glutamate of GAP. The average cell uptake of

Saharat K, Lirdprapamongkol K, Chokchaichamnankit D, et al.
Tumor Susceptibility Gene 101 Mediates Anoikis Resistance of Metastatic Thyroid Cancer Cells.
Cancer Genomics Proteomics. 2018 Nov-Dec; 15(6):473-483 [PubMed] Article available free on PMC after 04/01/2020 Related Publications
BACKGROUND/AIM: Resistance to anoikis is a pre-requisite step in metastasis, a major cause of death in patients with cancer, including thyroid cancer. Impairing anoikis resistance is a possible strategy for therapy of metastatic cancer. We, therefore, we aimed to investigate the key players of anoikis resistance.
MATERIALS AND METHODS: Papillary-type (BCPAP), follicular-type (FTC133), and anaplastic-type (ARO) thyroid carcinoma cells, cultured in poly(2-hydroxyethyl methacrylate)-coated plates to mimic circulating cells, were used as model systems in this study. Flow cytometry and soft-agar assays were used to determine cells exhibiting anoikis resistance. Proteomics was used to identify candidate proteins and validated using western blot and siRNA knockdown.
RESULTS: Only ARO cells showed both anoikis resistance potential and anchorage-independent growth ability. Tumor susceptibility gene 101 protein (TSG101) was identified to be potentially important in anoikis resistance, which was confirmed by an increase in anoikis and expression of a pro-apoptotic protein (BCL-2 like protein 4) and an apoptotic marker (cleaved poly-ADP ribose polymerase) in floating siTSG101-knockdown cells.
CONCLUSION: To our knowledge, this is the first study that implicates the importance of TSG101 in anoikis resistance of thyroid cancer.

Kaewlert W, Sakonsinsiri C, Namwat N, et al.
The Importance of CYP19A1 in Estrogen Receptor-Positive Cholangiocarcinoma.
Horm Cancer. 2018; 9(6):408-419 [PubMed] Related Publications
CYP19A1, also called aromatase, is a key enzyme for converting androgens to estrogens of estrogen synthesis. Elevated serum estrogen and high expression levels of estrogen-related proteins are found in cholangiocarcinoma (CCA; bile duct cancer). However, the expression of CYP19A1 in relation to estrogen-related proteins, including estrogen receptors (ERα, ERβ, and GPR30) and an estrogen response protein (TFF1), has never been explored in CCA. In this study, we investigated the expressions of CYP19A1 and estrogen-related proteins in CCA tissues (n = 74; 51 males and 23 females) using immunohistochemistry. The results showed that CYP19A1 was overexpressed in CCA cells compared with that in normal bile duct cells in the adjacent tissues. High expression of CYP19A1 was correlated with the metastatic status of the patients. High CYP19A1 expression was also positively correlated with GPR30 expression. Correlation between high CYP19A1 expression in the tumor tissues and shorter survival time was more prominent in male than in female CCA patients. To elucidate further, the effect of CYP19A1 knockdown on a CCA cell line was examined using a specific siRNA. When CYP19A1 gene expression was suppressed, migration and proliferation activities of CCA cells were significantly reduced. Moreover, the cell proliferation of high CYP19A1-expressing KKU-213 cells was more profoundly suppressed by CYP19A1 inhibitors (exemestane and letrozole) than low CYP19A1-expressing KKU-100 cells. Thus, CYP19A1 promotes CCA progression with aggressive clinical outcomes via increased migration and proliferation activities of cancer cells. CYP19A1 can be a potential chemotherapeutic target for CCA, especially in male patients.

Cornel KMC, Delvoux B, Saya T, et al.
The sulfatase pathway as estrogen supply in endometrial cancer.
Steroids. 2018; 139:45-52 [PubMed] Related Publications
OBJECTIVE: Contradictory results are reported about the level of steroid sulfatase (STS), estrogen sulfotransferase (SULT1E1; together, the sulfatase pathway) and aromatase (CYP19A1) in endometrial cancer (EC). The aim of this study was to explore the levels of these enzymes in a well-characterized cohort of EC patients and postmenopausal controls.
MATERIALS AND METHODS: Endometrial tissues from 31 EC patients (21 grade 1 and 10 grade 2-3) and 19 postmenopausal controls were collected. Levels of mRNA (RT-qPCR) and protein (immunohistochemistry) were determined. STS enzyme activity was measured by HPLC, whereas SULT1E1 enzyme activity was determined using a novel method based on liquid chromatography-mass spectrometry (LC-MS/MS).
RESULTS: No significant differences in STS, SULT1E1 mRNA or protein levels and STS:SULT1E1 ratio were found. STS enzyme activity and STS:SULT1E1 activity ratio were significantly decreased in ECs compared with controls. CYP19A1 mRNA levels were lower in ECs than in controls.
CONCLUSION: A novel highly sensitive and accurate protocol to assess SULT1E1 activity is presented. STS enzyme activity and the STS:SULT1E1 activity ratio seem to be lower in ECs than in controls. STS is an important route for estrogen supply in endometrial cells.

Campos-Parra AD, López-Urrutia E, Orozco Moreno LT, et al.
Long Non-Coding RNAs as New Master Regulators of Resistance to Systemic Treatments in Breast Cancer.
Int J Mol Sci. 2018; 19(9) [PubMed] Article available free on PMC after 04/01/2020 Related Publications
Predicting response to systemic treatments in breast cancer (BC) patients is an urgent, yet still unattained health aim. Easily detectable molecules such as long non-coding RNAs (lncRNAs) are the ideal biomarkers when they act as master regulators of many resistance mechanisms, or of mechanisms that are common to more than one treatment. These kinds of markers are pivotal in quasi-personalized treatment selection, and consequently, in improvement of outcome prediction. In order to provide a better approach to understanding development of disease and resistance to treatments, we reviewed current literature searching for lncRNA-associated systemic BC treatments including endocrine therapies, aromatase inhibitors, selective estrogen receptor modulators (SERMs), trastuzumab, paclitaxel, docetaxel, 5-fluorouracil (5-FU), anthracyclines, and cisplatin. We found that the engagement of lncRNAs in resistance is well described, and that lncRNAs such as urotelial carcinoma-associated 1 (UCA1) and regulator of reprogramming (ROR) are indeed involved in multiple resistance mechanisms, which offers tantalizing perspectives for wide usage of lncRNAs as treatment resistance biomarkers. Thus, we propose this work as the foundation for a wide landscape of functions and mechanisms that link more lncRNAs to resistance to current and new treatments in years of research to come.

Li Y, Yang Z
Analysis of competing endogenous RNA network to identify the key RNAs associated with prostate adenocarcinoma.
Pathol Res Pract. 2018; 214(11):1811-1817 [PubMed] Related Publications
OBJECTIVES: Prostate adenocarcinoma (PRAD) is the most common cancer in men. The aim of this study was to reveal the critical long non-coding RNA (lncRNAs), microRNA (miRNAs) and mRNAs involved in the pathogenesis of PRAD.
METHODS: The level 3 mRNA and miRNA sequencing data of PRAD were downloaded from The Cancer Genome Atlas database. Using the edgeR package of R, the differentially expressed mRNAs (DEGs), lncRNAs (DE-lncRNAs) and miRNAs (DE-miRNAs) between PRAD and normal tissues were screened. The Cox proportional hazards regression method in the survival package was used to select the lncRNAs significantly related to clinical characteristics. After the miRNA-lncRNA and miRNA-mRNA pairs were predicted, a regulatory network was constructed by the Cytoscape software. For the DEGs involved in the network, enrichment analysis was conducted by the Fisher algorithm.
RESULTS: Compared to the normal samples, 25 DE-lncRNAs, 1421 DEGs and 68 DE-miRNAs were identified in the PRAD samples. The down-regulated MESTIT1 had a significantly negative correlation with overall survival. A total of 44 DE-miRNA-DE-lncRNA pairs were predicted, including the PCA3-miR-96 and UCA1-miR-96. Meanwhile, 33 DEGs targeted by miRNAs (for example, miR-96-CYP19A1) were found to correlate with cancers.
CONCLUSION: Functional enrichment analysis showed that the reproductive development process (which involved TDRD1) was enriched for the DEGs implicated in the lncRNA-miRNA-mRNA regulatory network. The lncRNAs MESTIT1, PCA3, and UCA1; mRNAs CYP19A1 and TDRD1; as well as miR-96 might affect the pathogenesis of PRAD.

Du T, Sikora MJ, Levine KM, et al.
Key regulators of lipid metabolism drive endocrine resistance in invasive lobular breast cancer.
Breast Cancer Res. 2018; 20(1):106 [PubMed] Article available free on PMC after 04/01/2020 Related Publications
BACKGROUND: Invasive lobular breast carcinoma (ILC) is a histological subtype of breast cancer that is characterized by loss of E-cadherin and high expression of estrogen receptor alpha (ERα). In many cases, ILC is effectively treated with adjuvant aromatase inhibitors (AIs); however, acquired AI resistance remains a significant problem.
METHODS: To identify underlying mechanisms of acquired anti-estrogen resistance in ILC, we recently developed six long-term estrogen-deprived (LTED) variant cell lines from the human ILC cell lines SUM44PE (SUM44; two lines) and MDA-MB-134VI (MM134; four lines). To better understand mechanisms of AI resistance in these models, we performed transcriptional profiling analysis by RNA-sequencing followed by candidate gene expression and functional studies.
RESULTS: MM134 LTED cells expressed ER at a decreased level and lost growth response to estradiol, while SUM44 LTED cells retained partial ER activity. Our transcriptional profiling analysis identified shared activation of lipid metabolism across all six independent models. However, the underlying basis of this signature was distinct between models. Oxysterols were able to promote the proliferation of SUM44 LTED cells but not MM134 LTED cells. In contrast, MM134 LTED cells displayed a high expression of the sterol regulatory element-binding protein 1 (SREBP1), a regulator of fatty acid and cholesterol synthesis, and were hypersensitive to genetic or pharmacological inhibition of SREBPs. Several SREBP1 downstream targets involved in fatty acid synthesis, including FASN, were induced, and MM134 LTED cells were more sensitive to etomoxir, an inhibitor of the rate-limiting enzyme in beta-oxidation, than their respective parental control cells. Finally, in silico expression analysis in clinical specimens from a neo-adjuvant endocrine trial showed a significant association between the increase of SREBP1 expression and lack of clinical response, providing further support for a role of SREBP1 in the acquisition of endocrine resistance in breast cancer.
CONCLUSIONS: Our characterization of a unique series of AI-resistant ILC models identifies the activation of key regulators of fatty acid and cholesterol metabolism, implicating lipid-metabolic processes driving estrogen-independent growth of ILC cells. Targeting these changes may prove a strategy for prevention and treatment of endocrine resistance for patients with ILC.

Massillo C, Dalton GN, Porretti J, et al.
CTBP1/CYP19A1/estradiol axis together with adipose tissue impacts over prostate cancer growth associated to metabolic syndrome.
Int J Cancer. 2019; 144(5):1115-1127 [PubMed] Related Publications
Metabolic syndrome (MeS) increases prostate cancer (PCa) risk and aggressiveness. C-terminal binding protein 1 (CTBP1) is a transcriptional co-repressor of tumor suppressor genes that is activated by low NAD

Goto-Yamaguchi L, Yamamoto-Ibusuki M, Yamamoto Y, et al.
Therapeutic predictors of neoadjuvant endocrine therapy response in estrogen receptor-positive breast cancer with reference to optimal gene expression profiling.
Breast Cancer Res Treat. 2018; 172(2):353-362 [PubMed] Related Publications
PURPOSE: Neoadjuvant endocrine therapy (NAET) for estrogen receptor-positive primary breast cancer causes adequate tumor shrinkage, and is expected to be helpful for breast-conserving surgery, but the adaptation criteria, especially in regard to treatment duration, have never been elucidated. Re-visiting past gene expression profiles, we explored the data for specialized pre-therapeutic predictors and validated the results using our in-house clinical cohorts.
METHODS: We sorted the genes related to a > 30% tumor volume reduction through NAET from a cDNA microarray data-set of GSE20181, then selected the top 40 genes. We validated these gene expression levels using pre-therapeutic biopsy samples obtained from patients treated with long-term NAET (over 4 months; N = 40). A short-term (2-8 weeks; N = 37) NAET cohort was also validated to clarify whether expression of these genes is also related to a rapid response of Ki67 and PEPI score.
RESULTS: In the long-term group, higher expression of KRAS, CUL2, FAM13A, ADCK2, and LILRA2 was significantly associated with tumor shrinkage, and KRAS, MMS19, and IVD were related to lower PEPI score (≤ 3). Meanwhile in the short-term group, none of these genes except CUL2 showed a direct correlation with Ki67 reduction or PEPI score. This suggested that tumor shrinkage by NAET might be induced by response to the hypoxic environment (CUL2, FAM13A, KRAS) and activation of tumor immune system (LILRA2), without involving inhibition of proliferation.
CONCLUSION: Expression of specific genes may allow selection of the most responsive patients for maximum tumor shrinkage with NAET.

Bense RD, Qiu SQ, de Vries EGE, et al.
Considering the biology of late recurrences in selecting patients for extended endocrine therapy in breast cancer.
Cancer Treat Rev. 2018; 70:118-126 [PubMed] Related Publications
Extended endocrine therapy can reduce recurrences occurring more than 5 years after diagnosis (late recurrences) in estrogen receptor (ER)-positive breast cancer. Given the side effects of endocrine therapy, optimal patient selection for extended treatment is crucial. Enhanced understanding of late recurrence biology could optimize patient selection in this setting. We therefore summarized the current knowledge of late recurrence biology, clinical trials on extended endocrine therapy, and tools for predicting late recurrence and benefit from treatment extension. Extending 5 years of tamoxifen therapy with 5 years of tamoxifen or an aromatase inhibitor (AI) reduces late recurrence risk by 2-5%, but results of extending AI-based therapy are inconsistent. Although several clinicopathological parameters and multigene assays are prognostic for late recurrence, selection tools predicting benefit from extended endocrine therapy are sparse. Therefore, we additionally performed a pooled analysis using 2231 mRNA profiles of patients with ER-positive/human epidermal growth factor receptor 2-negative breast cancer. Gene Set Enrichment Analysis was applied on genes ranked according to their association with early and late recurrence risk. Higher expression of estrogen-responsive genes was associated with a high recurrence risk beyond 5 years after diagnosis when patients had received no systemic therapy. Although 5 years of endocrine therapy reduced this risk, this effect disappeared after treatment cessation. This suggests that late recurrences of tumors with high expression of estrogen-responsive genes are likely ER-driven. Long-term intervention in this pathway by means of extended endocrine therapy might reduce late recurrences in patients with tumors showing high expression of estrogen-responsive genes.

Christgen M, Bartels S, Luft A, et al.
Activating human epidermal growth factor receptor 2 (HER2) gene mutation in bone metastases from breast cancer.
Virchows Arch. 2018; 473(5):577-582 [PubMed] Related Publications
In addition to amplification, point mutations of the human epidermal growth factor receptor 2 (HER2) gene (ERBB2) have been shown to activate the corresponding signaling pathway in breast cancer. The prevalence of ERBB2/HER2 mutation in bone metastasis of breast cancer and the associated phenotype are not known. In this study, bone metastases from breast cancer patients (n = 231) were analyzed for ERBB2/HER2 mutation. In 7 patients (3%; median age 70 years, range 50-83 years), gain-of-function mutations of ERBB2/HER2 were detected. The most frequent mutation was p.L755S (71%). In 29% of mutated cases, p.V777L was found. Lobular breast cancer was present in 71% of mutated cases (n = 5) and in 49% of all samples (n = 231; p = 0.275). Mutation frequency was 4.4% in the lobular subgroup and 17.4% in the pleomorphic subtype of lobular cancer (n = 23), respectively. All but one mutated lobular cancers were of the pleomorphic subtype (p = 0.006). Mutated cancers belonged either to the luminal (n = 4) or to the triple-negative types (n = 3). With regard to protein expression and gene amplification, HER2 was negative in all mutated cases. Among the 14% of metastatic luminal cancers with estrogen receptor gene (ESR1) mutation, conveying resistance against aromatase inhibitors, no concomitant ERBB2/HER2 mutation occurred. We conclude that activating HER2 mutation is present in about 3% of bone metastases from breast cancers, with significantly higher rates in the pleomorphic subtype of lobular cancer. Since mutated cases appear to be HER2-negative by conventional testing, the opportunity for specific anti-HER2 therapy may be missed.

Hamadeh IS, Patel JN, Rusin S, Tan AR
Personalizing aromatase inhibitor therapy in patients with breast cancer.
Cancer Treat Rev. 2018; 70:47-55 [PubMed] Related Publications
BACKGROUND: Aromatase inhibitors are the mainstay of therapy for patients with hormone receptor-positive breast cancer in both adjuvant and metastatic settings. Their use in clinical practice has been challenged by significant inter-individual variability in response and tolerability. Hence, the purpose of this paper is to provide a succinct review of the literature on the genetic factors contributing to this variability.
DESIGN: A systematic search in PUBMED was conducted to identify studies that investigated the association between germline polymorphisms and disposition, clinical response and toxicities of aromatase inhibitors, as well as those evaluating the implications of mutations in ESR1 on clinical response.
RESULTS: Polymorphisms in genes coding for phase I and phase II enzymes (pharmacokinetic genes) significantly modulated exposure to aromatase inhibitors; however, there is a paucity of data linking interindividual variability in drug exposure to clinical response. Furthermore, pharmacogenetic studies interrogating relationship between polymorphisms in CYP19A1 (the target site of aromatase inhibitors, i.e. a pharmacodynamic gene) and response yielded conflicting results. Acquired mutations in ESR1 receptors have been identified as the underlying mechanism of resistance to aromatase inhibitors, and likely predict drug response. Although some pharmacogenetic studies have implicated polymorphisms in CYP19A1 and ESR1 with drug-related side effects, the putative role of these genes in predicting toxicity warrants further validation.
CONCLUSION: Genetic polymorphisms in pharmacokinetic and pharmacodynamic genes appear to influence aromatase inhibitor disposition, response and/or toxicity; however, prospective interventional studies are needed to understand the application of genomics to personalize aromatase inhibitor therapy in breast cancer patients.

Cheng L, Li L, Wang L, et al.
A random forest classifier predicts recurrence risk in patients with ovarian cancer.
Mol Med Rep. 2018; 18(3):3289-3297 [PubMed] Article available free on PMC after 04/01/2020 Related Publications
Ovarian cancer (OC) is associated with a poor prognosis due to difficulties in early detection. The aims of the present study were to construct a recurrence risk prediction model and to reveal important OC genes or pathways. RNA sequencing data was obtained for 307 OC samples, and the corresponding clinical data were downloaded from The Cancer Genome Atlas database. Additionally, two validation datasets, GSE44104 (20 recurrent and 40 non‑recurrent OC samples) and GSE49997 (204 OC samples), were obtained from the Gene Expression Omnibus database. Differentially expressed genes were screened using the differential expression via distance synthesis algorithm, followed by gene ontology enrichment analysis and weighted gene coexpression network analysis (WGCNA). Furthermore, subnetwork analysis was conducted for the protein‑protein interaction (PPI) network using the BioNet package. Finally, a random forest classifier was constructed based on the subnetwork nodes, and its reliability was validated using the GSE44104 and GSE49997 validation datasets. A total of 44 upregulated and 117 downregulated genes were identified in the recurrent samples. Enrichment analysis indicated that cytochrome P450 family 17 subfamily A member 1 (CYP17A1) was associated with 'positive regulation of steroid hormone biosynthetic processes'. WGCNA identified turquoise and grey modules that were significantly correlated with status and prognosis. A significant PPI subnetwork containing 16 nodes was also identified, including: Transcription factor GATA‑4; fibroblast growth factor 9; aromatase; 3β‑hydroxysteroid dehydrogenase/δ5‑4‑isomerase type 2; corticosteroid 11β‑dehydrogenase isozyme 1; CYP17A1; pituitary homeobox 2; left‑right determination factor 1; homeobox protein ARX; estrogen receptor β; steroidogenic factor 1; forkhead box protein L2; myocardin; steroidogenic acute regulatory protein mitochondrial; vesicular inhibitory amino acid transporter; and twist‑related protein 1. A random forest classifier was constructed using the subnetwork nodes as feature genes, which exhibited a 92% true positive rate when classifying recurrent and non‑recurrent OC samples. The classifying efficiency of the random forest classifier was validated using the two other independent datasets. Overall, 44 upregulated and 117 downregulated genes associated with OC recurrence were identified. Furthermore, the 16 subnetwork node genes that were identified may be important molecules in OC recurrence.

Suba Z
Amplified Crosstalk Between Estrogen Binding and GFR Signaling Mediated Pathways of ER Activation Drives Responses in Tumors Treated with Endocrine Disruptors.
Recent Pat Anticancer Drug Discov. 2018; 13(4):428-444 [PubMed] Related Publications
BACKGROUND: The pharmaceutical development of endocrine disruptors could not achieve appropriate advances in the field of anticancer fight.
OBJECTIVE: Considerations on the principles of currently used endocrine therapies.
METHODS: Comparison of the results of genetic studies being performed on breast cancer cells treated with estrogens, synthetic estrogens and antiestrogens.
RESULTS: In breast cancer cells, increased estrogen concentrations amplify ER-signaling via a synergistic upregulation of both liganded and unliganded ER-activations and increased aromatase expression. The higher the upregulation of ER-signaling, the stronger is the tumor response. Low doses of synthetic estrogens exert an inhibition on the ligand-independent AF1-domain in breast cancer cells, while provoke compensatory activation on the superior, ligand-dependent AF2-domain of ERs and estrogen synthesis. Conversely, high doses of synthetic estrogens induce uncompensated genome-wide disruption in ER-regulated genes leading to toxic symptoms and unpredictable tumor responses. Treatment with antiestrogens, either ER-blockers or aromatase inhibitors, obstructs the crucial AF2-domain of ERs strongly deteriorating the activation of genomic machinery. Tumor responses to antiestrogen treatment depend on the compensatory activation of ER-signaling and the restoration of genomic stability. Recent patents provide methods for the conversion of ER-negative cancers to ER-positive ones improving the possibility of successful treatment.
CONCLUSION: In tumor cells, the stabilization of genomic machinery and self-directed death may be achieved via a balanced activation of the AF1 and AF2 domains of ERs by natural estrogen treatment. In contrast, the blockade of either AF1 or AF2 domain by endocrine disruptors leads to toxic symptoms and unforeseeable tumor responses.

Gaikwad S, Chakraborty A, Salwe S, et al.
Juglone-ascorbic acid synergy inhibits metastasis and induces apoptotic cell death in poorly differentiated thyroid carcinoma by perturbing SOD and catalase activities.
J Biochem Mol Toxicol. 2018; 32(9):e22176 [PubMed] Related Publications
Anaplastic thyroid carcinoma (ATC) requires more innovative approaches as the current regimes for therapy are inadequate, also most anticancer drugs cause general suppression of physiological functions. However, therapy with limited nontarget tissue damage is desirable. In the present study, we show prooxidant ability of ascorbic acid, which enhances cytotoxicity induced by juglone. We decipher that juglone-ascorbate combination induces reactive oxygen species-mediated apoptosis leading to cell death in ARO cell line originated from ATC. This combination also affects enzyme activity of catalase, glutathione reductase, and superoxide dismutase destabilizing redox balance in cell and thereby making juglone effective at a lower dose. We also show that juglone-ascorbate combination suppresses cell migration, invasion, and expression of tumor-promoting, and angiogenic genes in ARO cell line, thereby disrupting epithelial-mesenchymal transition ability of the cells. Overall, we show that ascorbic acid increases cytotoxic potency of juglone through redox cycling when used in synergy.

Simigdala N, Pancholi S, Ribas R, et al.
Abiraterone shows alternate activity in models of endocrine resistant and sensitive disease.
Br J Cancer. 2018; 119(3):313-322 [PubMed] Article available free on PMC after 04/01/2020 Related Publications
BACKGROUND: Resistance to endocrine therapy remains a major clinical problem in the treatment of oestrogen-receptor positive (ER+) breast cancer. Studies show androgen-receptor (AR) remains present in 80-90% of metastatic breast cancers providing support for blockade of AR-signalling. However, clinical studies with abiraterone, which blocks cytochrome P450 17A1 (CYP17A1) showed limited benefit.
METHODS: In order to address this, we assessed the impact of abiraterone on cell-viability, cell-death, ER-mediated transactivation and recruitment to target promoters. together with ligand-binding assays in a panel of ER+ breast cancer cell lines that were either oestrogen-dependent, modelling endocrine-sensitive disease, or oestrogen-independent modelling relapse on an aromatase inhibitor. The latter, harboured wild-type (wt) or naturally occurring ESR1 mutations.
RESULTS: Similar to oestrogen, abiraterone showed paradoxical impact on proliferation by stimulating cell growth or death, depending on whether the cells are hormone-dependent or have undergone prolonged oestrogen-deprivation, respectively. Abiraterone increased ER-turnover, induced ER-mediated transactivation and ER-degradation via the proteasome.
CONCLUSIONS: Our study confirms the oestrogenic activity of abiraterone and highlights its differential impact on cells dependent on oestrogen for their proliferation vs. those that are ligand-independent and harbour wt or mutant ESR1. These properties could impact the clinical efficacy of abiraterone in breast cancer.

Molehin D, Castro-Piedras I, Sharma M, et al.
Aromatase Acetylation Patterns and Altered Activity in Response to Sirtuin Inhibition.
Mol Cancer Res. 2018; 16(10):1530-1542 [PubMed] Related Publications
Aromatase, a cytochrome P450 member, is a key enzyme involved in estrogen biosynthesis and is dysregulated in the majority of breast cancers. Studies have shown that lysine deacetylase inhibitors (KDI) decrease aromatase expression in cancer cells, yet many unknowns remain regarding the mechanism by which this occurs. However, advances have been made to clarify factors involved in the transcriptional regulation of the aromatase gene (

Genovese TJ, Mao JJ
Genetic Predictors of Response to Acupuncture for Aromatase Inhibitor-Associated Arthralgia Among Breast Cancer Survivors.
Pain Med. 2019; 20(1):191-194 [PubMed] Article available free on PMC after 01/01/2020 Related Publications
Objective: To evaluate the associations between polymorphisms in two genes, catechol-O-methyltransferase and T-cell leukemia/lymphoma 1 A, and acupuncture-mediated pain reduction among breast cancer survivors with aromatase inhibitor-associated arthralgia.
Design, Setting, and Subjects: Biospecimens were obtained from 38 patients enrolled in a clinical trial of acupuncture for aromatase inhibitor-associated arthralgia in postmenopausal hormone receptor-positive breast cancer survivors.
Methods: We used polymerase chain reaction to genotype the rs4680 (Val158Met) and rs4633 (His62His) variants in the catechol-O-methyltransferase gene and rs2369049 (A > G) and rs7158782 (A > G) variants in the T-cell leukemia/lymphoma 1 A gene. Response to acupuncture was defined by 30% reduction in end-of-treatment average pain, measured by the Brief Pain Inventory. We used Fisher exact tests to evaluate associations between genotype and treatment response.
Results: Among participants, all six (15.8%) subjects who expressed AA in locus rs4680 responded to acupuncture. In a combined analysis, the 18 (47.4%) subjects with the responder genotype at either rs4680 (AA) or rs2369049 (GG or AG) were significantly more likely to respond to acupuncture than those without (77.8% vs 45.0%, P = 0.039).
Conclusions: Specific genetic variations at loci rs4680 and rs2369049 are associated with response to acupuncture-type intervention for management of arthralgia. These results serve as a proof of concept for applying a precision medicine framework to the study of cancer pain management.

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