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Rattsev I, Stearns V, Blackford AL, Hertz DL, Smith KL, Rae JM, Taylor CO. Incorporation of emergent symptoms and genetic covariates improves prediction of aromatase inhibitor therapy discontinuation. JAMIA Open 2024; 7:ooae006. [PMID: 38250582 PMCID: PMC10799747 DOI: 10.1093/jamiaopen/ooae006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 08/09/2023] [Accepted: 01/08/2024] [Indexed: 01/23/2024] Open
Abstract
Objectives Early discontinuation is common among breast cancer patients taking aromatase inhibitors (AIs). Although several predictors have been identified, it is unclear how to simultaneously consider multiple risk factors for an individual. We sought to develop a tool for prediction of AI discontinuation and to explore how predictive value of risk factors changes with time. Materials and Methods Survival machine learning was used to predict time-to-discontinuation of AIs in 181 women who enrolled in a prospective cohort. Models were evaluated via time-dependent area under the curve (AUC), c-index, and integrated Brier score. Feature importance was analysis was conducted via Shapley Additive Explanations (SHAP) and time-dependence of their predictive value was analyzed by time-dependent AUC. Personalized survival curves were constructed for risk communication. Results The best-performing model incorporated genetic risk factors and changes in patient-reported outcomes, achieving mean time-dependent AUC of 0.66, and AUC of 0.72 and 0.67 at 6- and 12-month cutoffs, respectively. The most significant features included variants in ESR1 and emergent symptoms. Predictive value of genetic risk factors was highest in the first year of treatment. Decrease in physical function was the strongest independent predictor at follow-up. Discussion and Conclusion Incorporation of genomic and 3-month follow-up data improved the ability of the models to identify the individuals at risk of AI discontinuation. Genetic risk factors were particularly important for predicting early discontinuers. This study provides insight into the complex nature of AI discontinuation and highlights the importance of incorporating genetic risk factors and emergent symptoms into prediction models.
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Affiliation(s)
- Ilia Rattsev
- Institute for Computational Medicine, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, 21218, United States
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21218, United States
| | - Vered Stearns
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States
| | - Amanda L Blackford
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States
| | - Daniel L Hertz
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI, 48109, United States
| | - Karen L Smith
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States
| | - James M Rae
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, United States
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI, 48109, United States
| | - Casey Overby Taylor
- Institute for Computational Medicine, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, 21218, United States
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21218, United States
- Department of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, United States
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Conte B, Boni L, Bisagni G, Durando A, Sanna G, Gori S, Garrone O, Tamberi S, De Placido S, Schettini F, Pazzola A, Ponzone R, Montemurro F, Lunardi G, Notaro R, De Angioletti M, Turletti A, Mansutti M, Puglisi F, Frassoldati A, Porpiglia M, Fabi A, Generali D, Scognamiglio G, Rossi M, Brasó-Maristany F, Prat A, Cardinali B, Piccioli P, Serra M, Lastraioli S, Bighin C, Poggio F, Lambertini M, Del Mastro L. SNP of Aromatase Predict Long-term Survival and Aromatase Inhibitor Toxicity in Patients with Early Breast Cancer: A Biomarker Analysis of the GIM4 and GIM5 Trials. Clin Cancer Res 2023; 29:5217-5226. [PMID: 37888299 PMCID: PMC10722129 DOI: 10.1158/1078-0432.ccr-23-1568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 08/12/2023] [Accepted: 10/09/2023] [Indexed: 10/28/2023]
Abstract
PURPOSE In estrogen receptor-positive (ER+) breast cancer, single-nucleotide polymorphisms (SNP) in the aromatase gene might affect aromatase inhibitors (AI) metabolism and efficacy. Here, we assessed the impact of SNP on prognosis and toxicity of patients receiving adjuvant letrozole. EXPERIMENTAL DESIGN We enrolled 886 postmenopausal patients in the study. They were treated with letrozole for 2 to 5 years after taking tamoxifen for 2 to 6 years, continuing until they completed 5 to 10 years of therapy. Germline DNA was genotyped for SNP rs4646, rs10046, rs749292, and rs727479. Log-rank test and Cox model were used for disease-free survival (DFS) and overall survival (OS). Cumulative incidence (CI) of breast cancer metastasis was assessed through competing risk analysis, with contralateral breast cancer, second malignancies and non-breast cancer death as competing events. CI of skeletal and cardiovascular events were assessed using DFS events as competing events. Subdistribution HR (sHR) with 95% confidence intervals were calculated through Fine-Gray method. RESULTS No SNP was associated with DFS. Variants rs10046 [sHR 2.03, (1.04-2.94)], rs749292 [sHR 2.11, (1.12-3.94)], and rs727479 [sHR 2.62, (1.17-5.83)] were associated with breast cancer metastasis. Three groups were identified on the basis of the number of these variants (0, 1, >1). Variant-based groups were associated with breast cancer metastasis (10-year CI 2.5%, 7.6%, 10.7%, P = 0.035) and OS (10-year estimates 96.5%, 93.0%, 89.6%, P = 0.030). Co-occurrence of rs10046 and rs749292 was negatively associated with 10-year CI of skeletal events (3.2% vs. 10%, P = 0.033). A similar association emerged between rs727479 and cardiovascular events (0.3% vs. 2.1%, P = 0.026). CONCLUSIONS SNP of aromatase gene predict risk of metastasis and AI-related toxicity in ER+ early breast cancer, opening an opportunity for better treatment individualization.
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Affiliation(s)
- Benedetta Conte
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
- Department of Medical Oncology, Hospital Clinic of Barcelona, Barcelona, Spain
- Universitat de Barcelona, Barcelona, Spain
| | - Luca Boni
- S.C. Epidemiologia Clinica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Giancarlo Bisagni
- Azienda unità Sanitaria Locale – IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Antonio Durando
- Breast Unit Ospedale S Anna, Citta' della Salute e della Scienza di Torino, Torino, Italy
| | - Giovanni Sanna
- Azienda Ospedaliera Universitaria – Sassari, Sassari, Italy
| | - Stefania Gori
- UOC Oncologia Medica, IRCCS Ospedale Sacro Cuore Don Calabria, Negrar, Verona, Italy
| | - Ornella Garrone
- Breast Unit, AO S. Croce e Carle Ospedale di insegnamento, Cuneo, Italy
- Medical Oncology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Milano
| | | | - Sabino De Placido
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Napoli, Italy
| | - Francesco Schettini
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
- Department of Medical Oncology, Hospital Clinic of Barcelona, Barcelona, Spain
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Spain
| | | | - Riccardo Ponzone
- Candiolo Cancer Institute, FPO-IRCCS, Gynecologic Oncology and Multidisciplinary Outpatient Oncology Clinic, Candiolo, Italy
| | - Filippo Montemurro
- Candiolo Cancer Institute, FPO-IRCCS, Gynecologic Oncology and Multidisciplinary Outpatient Oncology Clinic, Candiolo, Italy
| | - Gianluigi Lunardi
- Laboratorio Analisi Chimico-Cliniche, IRCCS-Ospedale Sacro Cuore Don Calabria, Negrar, Verona, Italy
| | | | - Maria De Angioletti
- Core Research Laboratory-ISPRO, Firenze, Italy
- National Research Council (CNR) - ICCOM, Firenze, Italy
| | | | - Mauro Mansutti
- Department of Oncology, ASUFC Santa Maria della Misericordia, Udine, Italy
| | - Fabio Puglisi
- Department of Medicine, University of Udine, Udine, Italy
- Depatment of Medical Oncology, Centro di Riferimento Oncologico di Aviano IRCCS, Aviano, Italy
| | - Antonio Frassoldati
- Department of Morphology, Surgery and Experimental medicine, Clinical Oncology, St. Anna University Hospital, Ferrara, Italy
| | - Mauro Porpiglia
- Breast Unit Ospedale S. Anna, AOU Città della Salute e della Scienza di Torino, Torino, Italy
| | - Alessandra Fabi
- Medical Oncology, IRCCS Regina Elena National Cancer Institute, Roma, Italy
| | - Daniele Generali
- Medical Oncology, Azienda Istituti Ospitalieri di Cremona, Cremona, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | | | - Maura Rossi
- SOC Oncologia, ASO SS.Antonio e Biagio, Alessandria, Italy
| | - Fara Brasó-Maristany
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Aleix Prat
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
- Department of Medical Oncology, Hospital Clinic of Barcelona, Barcelona, Spain
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Napoli, Italy
- Reveal Genomics, Barcelona, Spain
- Institute of Oncology (IOB)-Hospital Quirónsalud, Barcelona, Spain
| | - Barbara Cardinali
- Medical Oncology Department, U.O. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Patrizia Piccioli
- Medical Oncology Department, U.O. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Martina Serra
- Laboratory of Clinical and Experimental Immunology, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Sonia Lastraioli
- Molecular Diagnostic Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Claudia Bighin
- Medical Oncology Department 2, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Francesca Poggio
- Medical Oncology Department 2, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Matteo Lambertini
- Medical Oncology Department, U.O. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Internal Medicine and Medical Specialties (DiMI), School of Medicine, University of Genova, Genova, Italy
| | - Lucia Del Mastro
- Medical Oncology Department, U.O. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Internal Medicine and Medical Specialties (DiMI), School of Medicine, University of Genova, Genova, Italy
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Hertz DL, Douglas JA, Miller RM, Kidwell KM, Gersch CL, Desta Z, Storniolo AM, Stearns V, Skaar TC, Hayes DF, Henry NL, Rae JM. Genome-wide association study of aromatase inhibitor discontinuation due to musculoskeletal symptoms. Support Care Cancer 2022; 30:8059-8067. [PMID: 35776183 PMCID: PMC9529953 DOI: 10.1007/s00520-022-07243-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 06/20/2022] [Indexed: 10/17/2022]
Abstract
OBJECTIVE Aromatase inhibitors (AIs) are commonly used to treat hormone receptor positive (HR +) breast cancer. AI-induced musculoskeletal syndrome (AIMSS) is a common toxicity that causes AI treatment discontinuation. The objective of this genome-wide association study (GWAS) was to identify genetic variants associated with discontinuation of AI therapy due to AIMSS and attempt to replicate previously reported associations. METHODS In the Exemestane and Letrozole Pharmacogenetics (ELPh) study, postmenopausal patients with HR + non-metastatic breast cancer were randomized to letrozole or exemestane. Genome-wide genotyping of germline DNA was conducted followed by imputation. Each imputed variant was tested for association with time-to-treatment discontinuation due to AIMSS using a Cox proportional hazards model assuming additive genetic effects and adjusting for age, baseline pain score, prior taxane treatment, and AI arm. Secondary analyses were conducted within each AI arm and analyses of candidate variants previously reported to be associated with AIMSS risk. RESULTS Four hundred ELPh participants were included in the combined analysis. Two variants surpassed the genome-wide significance level in the primary analysis (p value < 5 × 10-8), an intronic variant (rs79048288) within CCDC148 (HR = 4.42, 95% CI: 2.67-7.33) and an intergenic variant (rs912571) upstream of PPP1R14C (HR = 0.30, 95% CI: 0.20-0.47). In the secondary analysis, rs74418677, which is known to be associated with expression of SUPT20H, was significantly associated with discontinuation of letrozole therapy due to AIMSS (HR = 5.91, 95% CI: 3.16-11.06). We were able to replicate associations for candidate variants previously reported to be associated with AIMSS in this cohort, but were not able to replicate associations for any other variants previously reported in other patient cohorts. CONCLUSIONS Our GWAS findings identify several candidate variants that may be associated with AIMSS risk from AI generally or letrozole specifically. Validation of these associations in independent cohorts is needed before translating these findings into clinical practice to improve treatment outcomes in patients with HR + breast cancer.
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Affiliation(s)
- Daniel L Hertz
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, 428 Church St., Room 3054, Ann Arbor, MI, 48109-1065, USA.
| | - Julie A Douglas
- Department of Mathematics and Statistics, Skidmore College, Saratoga Springs, NY, 12866, USA
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Robert M Miller
- Department of Mathematics and Statistics, Skidmore College, Saratoga Springs, NY, 12866, USA
| | - Kelley M Kidwell
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Christina L Gersch
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan Medical School, Ann Arbor, MI, USA
| | | | | | - Vered Stearns
- Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Todd C Skaar
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - Daniel F Hayes
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - N Lynn Henry
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - James M Rae
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan Medical School, Ann Arbor, MI, USA
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4
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Hertz DL, Smith KL, Zong Y, Gersch CL, Pesch AM, Lehman J, Blackford AL, Henry NL, Kidwell KM, Rae JM, Stearns V. Further Evidence That OPG rs2073618 Is Associated With Increased Risk of Musculoskeletal Symptoms in Patients Receiving Aromatase Inhibitors for Early Breast Cancer. Front Genet 2021; 12:662734. [PMID: 34211496 PMCID: PMC8239354 DOI: 10.3389/fgene.2021.662734] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 04/27/2021] [Indexed: 11/13/2022] Open
Abstract
Background Aromatase inhibitors (AI) reduce recurrence and death in patients with early-stage hormone receptor-positive (HR +) breast cancer. Treatment-related toxicities, including AI-induced musculoskeletal symptoms (AIMSS), are common and may lead to early AI discontinuation. The objective of this study was to replicate previously reported associations for candidate germline genetic polymorphisms with AIMSS. Methods Women with stage 0-III HR + breast cancer initiating adjuvant AI were enrolled in a prospective clinic-based observational cohort. AIMSS were assessed by patient-reported outcomes (PRO) including the PROMIS pain interference and physical function measures plus the FACT-ES joint pain question at baseline and after 3 and 6 months. For the primary analysis, AIMSS were defined as ≥ 4-point increase in the pain interference T-score from baseline. Secondary AIMSS endpoints were defined as ≥ 4-point decrease in the physical function T-score from baseline and as ≥ 1-point increase on the FACT-ES joint pain question from baseline. The primary hypothesis was that TCL1A rs11849538 would be associated with AIMSS. Twelve other germline variants in CYP19A1, VDR, PIRC66, OPG, ESR1, CYP27B1, CYP17A1, and RANKL were also analyzed assuming a dominant genetic effect and prespecified direction of effect on AIMSS using univariate logistic regression with an unadjusted α = 0.05. Significant univariate associations in the expected direction were adjusted for age, race, body mass index (BMI), prior taxane, and the type of AI using multivariable logistic regression. Results A total of 143 participants with PRO and genetic data were included in this analysis, most of whom were treated with anastrozole (78%) or letrozole (20%). On primary analysis, participants carrying TCL1A rs11849538 were not more likely to develop AIMSS (odds ratio = 1.29, 95% confidence interval: 0.55-3.07, p = 0.56). In the statistically uncorrected secondary analysis, OPG rs2073618 was associated with AIMSS defined by worsening on the FACT-ES joint pain question (OR = 3.33, p = 0.004), and this association maintained significance after covariate adjustment (OR = 3.98, p = 0.003). Conclusion Carriers of OPG rs2073618 may be at increased risk of AIMSS. If confirmed in other cohorts, OPG genotyping can be used to identify individuals with HR + early breast cancer in whom alternate endocrine therapy or interventions to enhance symptom detection and implement strategies to reduce musculoskeletal symptoms may be needed.
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Affiliation(s)
- Daniel L Hertz
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI, United States
| | - Karen Lisa Smith
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Yuhua Zong
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, United States
| | - Christina L Gersch
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Andrea M Pesch
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Jennifer Lehman
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Amanda L Blackford
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - N Lynn Henry
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Kelley M Kidwell
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, United States
| | - James M Rae
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Vered Stearns
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, United States
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Aromatase and CDK4/6 Inhibitor-Induced Musculoskeletal Symptoms: A Systematic Review. Cancers (Basel) 2021; 13:cancers13030465. [PMID: 33530456 PMCID: PMC7865932 DOI: 10.3390/cancers13030465] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Revised: 01/19/2021] [Accepted: 01/21/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Treatment with aromatase inhibitors (AIs) is fundamental in women with hormone receptor-positive breast cancer in the adjuvant as well as the metastatic setting. Even though it is considered to be a well-tolerated therapy, aromatase inhibitor-associated musculoskeletal syndrome (AIMSS) is the most common adverse event encountered by breast cancer patients. CDK4/6 inhibitors have emerged as a new treatment strategy in metastatic hormone receptor-positive breast cancer. However, the impact of CDK4/6 inhibitors on musculoskeletal symptoms caused by AIs is not well-defined. OBJECTIVES This systematic review aims to identify the frequency of joint symptoms induced by treatment with AIs and CDK4/6 inhibitors in the metastatic setting. SEARCH STRATEGY Eligible articles were identified by a search of existing literature for the period 2005/01/01-2021/01/01; The algorithm consisted of a predefined combination of the following keywords "breast", "cancer", "aromatase inhibitors", "CDK4/6", "phase III". SELECTION CRITERIA This study was performed in accordance with PRISMA guidelines. All randomized controlled Phase III trials (RCTs) evaluating the administration of third-generation aromatase inhibitors (AIs) and CDK4/6 inhibitors in postmenopausal women in the metastatic setting were considered eligible for this review. DATA COLLECTION Overall, 16 randomized control trials (RCTs) were retrieved, of which nine studies explored the administration of AIs in the metastatic setting and seven studies investigated the combination of CDK4/6 inhibitors and AIs. Arthralgia was reported in 1-47% of patients treated with AIs and 5.8-33.3% of patients treated with CDK4/6 inhibitors. Myalgias occurred in 2-23.7% of patients receiving AIs compared with 4.8-11.9% of patients treated with CDK4/6 inhibitors. The incidence of back pain was 7-32.9% vs. 2.9-8.5% in postmenopausal women with metastatic disease treated with AIs and CDK4/6 inhibitors, respectively. Bone pain was reported in 7-32.9% of postmenopausal women treated with AIs and 2.9-8.5% of women treated with CDK4/6 inhibitors. CONCLUSIONS AI treatment-induced musculoskeletal syndrome is an adverse event affecting over one-third (20-47%) of postmenopausal patients treated with AIs that often leads to treatment discontinuation. Data from RCTs provide evidence that the incidence of musculoskeletal symptoms is relatively decreased upon CDK4/6 inhibitor administration. CDK4/6 inhibitors may provide a protective role against AIMSS development.
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Tenti S, Correale P, Cheleschi S, Fioravanti A, Pirtoli L. Aromatase Inhibitors-Induced Musculoskeletal Disorders: Current Knowledge on Clinical and Molecular Aspects. Int J Mol Sci 2020; 21:ijms21165625. [PMID: 32781535 PMCID: PMC7460580 DOI: 10.3390/ijms21165625] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 07/29/2020] [Accepted: 08/04/2020] [Indexed: 02/06/2023] Open
Abstract
Aromatase inhibitors (AIs) have radically changed the prognosis of hormone receptor positive breast cancer (BC) in post-menopausal women, and are a mainstay of the adjuvant therapy for BC after surgery in place of, or following, Tamoxifen. However, AIs aren't side effect-free; frequent adverse events involve the musculoskeletal system, in the form of bone loss, AI-associated arthralgia (AIA) syndrome and autoimmune rheumatic diseases. In this narrative review, we reported the main clinical features of these three detrimental conditions, their influence on therapy adherence, the possible underlying molecular mechanisms and the available pharmacological and non-pharmacological treatments. The best-known form is the AIs-induced osteoporosis, whose molecular pathway and therapeutic possibilities were extensively investigated in the last decade. AIA syndrome is a high prevalent joint pain disorder which often determines a premature discontinuation of the therapy. Several points still need to be clarified, as a universally accepted diagnostic definition, the pathogenetic mechanisms and satisfactory management strategies. The association of AIs therapy with autoimmune diseases is of the utmost interest. The related literature has been recently expanded, but many issues remain to be explored, the first being the molecular mechanisms.
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Affiliation(s)
- Sara Tenti
- Rheumatology Unit, Department of Medicine, Surgery and Neuroscience, Azienda Ospedaliera Universitaria Senese, Policlinico Le Scotte, Viale Bracci 1, 53100 Siena, Italy; (S.T.); (A.F.)
| | - Pierpaolo Correale
- Medical Oncology Unit, Grand Metropolitan Hospital “Bianchi-Melacrino-Morelli”, 89121 Reggio Calabria, Italy;
| | - Sara Cheleschi
- Rheumatology Unit, Department of Medicine, Surgery and Neuroscience, Azienda Ospedaliera Universitaria Senese, Policlinico Le Scotte, Viale Bracci 1, 53100 Siena, Italy; (S.T.); (A.F.)
- Correspondence: ; Tel.: +39-0577-233471
| | - Antonella Fioravanti
- Rheumatology Unit, Department of Medicine, Surgery and Neuroscience, Azienda Ospedaliera Universitaria Senese, Policlinico Le Scotte, Viale Bracci 1, 53100 Siena, Italy; (S.T.); (A.F.)
| | - Luigi Pirtoli
- Sbarro Institute for Cancer Research and Molecular Medicine-Center for Biotechnology, Department of Biology, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA;
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Umamaheswaran G, Kadambari D, Muthuvel SK, Kalaivani S, Devi J, Damodaran SE, Pradhan SC, Dubashi B, Dkhar SA, Adithan C. Association of CYP19A1 gene variations with adjuvant letrozole-induced adverse events in South Indian postmenopausal breast cancer cohort expressing hormone-receptor positivity. Breast Cancer Res Treat 2020; 182:147-158. [PMID: 32385792 DOI: 10.1007/s10549-020-05656-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 04/27/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE Musculoskeletal adverse events (MS-AEs) and vasomotor symptoms (VMSs) are the major side-effects of newer generation non-steroidal aromatase inhibitor (AI), letrozole. Single-nucleotide polymorphisms (SNPs) in CYP19A1 gene coding for the enzyme aromatase are related to AI treatment-associated adverse drug reactions. Therefore, we aimed to determine whether SNPs in the CYP19A1 gene are associated with adjuvant letrozole-induced 'specific' AEs in postmenopausal hormone receptor-positive (HR+) breast cancer patients. METHODS Genomic DNA was isolated from 198 HR+ breast cancer patients by the phenol-chloroform method, and eleven SNPs in the CYP19A1 gene were genotyped by TaqMan genotyping assays on the qRT-PCR system. Toxicity was assessed according to the National Cancer Institute Common Terminology Criteria for Adverse Events version 3.0, and the data were analyzed using SPSS v19.0 and Haploview v4.2 statistical software. RESULTS Subjects carrying the genetic variants of CYP19A1 gene SNP rs700519 had significantly higher odds (OR 2.33; 95% CI [1.29-4.20], P = 0.0057) of MS-AEs under dominant statistical effect. The frequency of the two distinct haplotypes that include the variant allele 'T' at rs700519 locus, H5-GCTATCTGGCG (P = 0.042) and H11-GCTATTGCACG (P = 0.013) were significantly higher in patients with musculoskeletal toxicity than in those without MS-AEs and thus predisposing to MS-AEs. Similarly, H6-GCCAGCTGGCG (P = 0.037) haplotype exhibited higher frequencies in patients presented with VMSs. However, no such association was observed between CYP19A1 genotypes and VMSs. CONCLUSIONS To the best of our knowledge, this is the first study assessing the impact of CYP19A1 genetic variations with adjuvant letrozole treatment-associated AEs in Indian women. Genetic variations in the CYP19A1 gene is associated with letrozole-induced AEs and warrants further investigation in larger cohorts to validate this finding.
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Affiliation(s)
- Gurusamy Umamaheswaran
- Department of Pharmacology, Centre for Advanced Research in Pharmacogenomics, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India. .,Department of Oncology, Institute of Clinical and Experimental Medicine, Linkoping University, Linkoping, Sweden.
| | - Dharanipragada Kadambari
- Departments of Surgery and Medical Education, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Suresh Kumar Muthuvel
- School of Life Sciences, Centre for Bioinformatics, Pondicherry University, Puducherry, India
| | - Sekar Kalaivani
- Department of Pharmacology, Centre for Advanced Research in Pharmacogenomics, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Jaganathan Devi
- Department of Animal Sciences, University of Connecticut, Storrs, USA
| | - Solai Elango Damodaran
- Department of Pharmacology, Centre for Advanced Research in Pharmacogenomics, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Suresh Chandra Pradhan
- Department of Pharmacology, Centre for Advanced Research in Pharmacogenomics, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Biswajit Dubashi
- Department of Medical Oncology, Regional Cancer Center, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Steven Aibor Dkhar
- Department of Pharmacology, Centre for Advanced Research in Pharmacogenomics, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.,Department of Clinical Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Chandrasekaran Adithan
- Department of Pharmacology, Centre for Advanced Research in Pharmacogenomics, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.,Central Inter-Disciplinary Research Facility, Mahatma Gandhi Medical College & Research Institute, Puducherry, India
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8
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Cathcart-Rake E, Novotny P, Leon-Ferre R, Le-Rademacher J, Storrick EM, Adjei AA, Terstriep S, Glaser R, Giuliano A, Mitchell WR, Page S, Austin C, Deming RL, Ferreira MA, Lafky JM, Birrell SN, Loprinzi CL. A randomized, double-blind, placebo-controlled trial of testosterone for treatment of postmenopausal women with aromatase inhibitor-induced arthralgias: Alliance study A221102. Support Care Cancer 2020; 29:387-396. [PMID: 32372176 DOI: 10.1007/s00520-020-05473-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 04/14/2020] [Indexed: 01/28/2023]
Abstract
PURPOSE To evaluate the efficacy of testosterone supplementation for improving aromatase inhibitor musculoskeletal symptoms (AIMSS). METHODS Postmenopausal women experiencing moderate-to-severe arthralgias while taking adjuvant aromatase inhibitors for breast cancer were enrolled in this trial. Initially, patients were randomly allocated to receive either a subcutaneous testosterone pellet versus a placebo pellet. Due to slow accrual, the protocol was modified such that additional participants were randomized to receive either a topical testosterone gel or a placebo gel. Changes in patient-reported joint pain were compared between patients receiving testosterone and those receiving placebo using a two-sample t test. Changes in hot flashes and other vasomotor symptoms were also analyzed. Further analyses were conducted to evaluate whether 27 single nucleotide polymorphisms (SNPs) in 14 genes previously associated with AIMSS were associated with testosterone supplementation benefit. RESULTS While 64% of patients reported an improvement in joint pain at 3 months, there were no significant differences in average pain or joint stiffness at 3 or 6 months between testosterone and placebo arms. Patients receiving testosterone did report improvements in strength, lack of energy, urinary frequency, and stress incontinence (p < 0.05). The subset of patients receiving subcutaneous testosterone also experienced improvements in hot flashes and mood swings. An inherited variant (rs7984870 CC genotype) in TNFSF11 was more likely to be associated with improvements in hot flashes in patients receiving testosterone. CONCLUSION The doses of testosterone supplementation used in this study did not significantly improve AIMSS. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01573442.
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Affiliation(s)
| | - Paul Novotny
- Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | | | - Rebecca Glaser
- Wright State University Boonshoft School of Medicine, Dayton, OH, USA
| | | | - William R Mitchell
- Southeast Clinical Oncology Research Consortium NCORP, Winston-Salem, NC, USA
| | - Seth Page
- Wichita NCI Community Oncology Research Program, Wichita, KS, USA
| | | | | | | | | | - Stephen N Birrell
- The Breast and Endocrine Centre, Toorak Gardens, South Australia, Australia
| | - Charles L Loprinzi
- Mayo Clinic, Rochester, MN, USA. .,Department of Medical Oncology, Mayo Clinic, 200 First St SW, Rochester, MN, USA.
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9
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Zhu Y, Koleck TA, Bender CM, Conley YP. Genetic Underpinnings of Musculoskeletal Pain During Treatment With Aromatase Inhibitors for Breast Cancer: A Biological Pathway Analysis. Biol Res Nurs 2019; 22:263-276. [PMID: 31847542 DOI: 10.1177/1099800419895114] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND Musculoskeletal pain (MSKP) is the most reported symptom during treatment with aromatase inhibitors (AIs) for breast cancer. The mechanisms underlying MSKP are multidimensional and not well understood. The goals of this biological pathway analysis were to (1) gain an understanding of the genetic variation and biological mechanisms underlying MSKP with AI therapy and (2) identify plausible biological pathways and candidate genes for future investigation. METHOD Genes associated with MSKP during AI therapy or genes involved in drug metabolism of and response to AIs were identified from the literature. Studies published through February 2019 were queried in PubMed®. The genes identified from the literature were entered into QIAGEN's Ingenuity® Pathway Analysis (IPA) software to generate canonical pathways, upstream regulators, and networks through a core analysis. RESULTS The 17 genes identified were ABCB1, ABCG1, CYP17A1, CYP19A1, CYP27B1, CYP2A6, CYP3A4, CYP3A5, ESR1, OATP1B1, OPG, RANKL, SLCO3A1, TCL1A, UGT2A1, UGT2B17, and VDR. These genes are involved in encoding bone-remodeling regulators, drug-metabolizing enzymes (cytochrome P450 family, UDP-glucuronosyltransferases family), or drug transporters (ATP-binding cassette transporters, organic anion transporters). Multiple plausible biological pathways (e.g., nicotine degradation, melatonin degradation) and candidate genes (e.g., NFKB, HSP90, AKT, ERK1/2, FOXA2) are proposed for future investigation based on the IPA results. CONCLUSION Multiple genes and molecular-level etiologies may contribute to MSKP with AI therapy in women with breast cancer. Our innovative combination of gene identification from the literature plus biological pathway analysis allowed for the emergence of novel candidate genes and biological pathways for future investigations.
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Affiliation(s)
- Yehui Zhu
- School of Nursing, University of Pittsburgh, PA, USA
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10
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Romero SAD, Su HI, Satagopan J, Li QS, Seluzicki CM, Dries A, DeMichele AM, Mao JJ. Clinical and genetic risk factors for aromatase inhibitor-associated arthralgia in breast cancer survivors. Breast 2019; 49:48-54. [PMID: 31678641 PMCID: PMC7375589 DOI: 10.1016/j.breast.2019.10.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 10/08/2019] [Accepted: 10/16/2019] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Arthralgia is a common and debilitating toxicity of aromatase inhibitors (AI) that leads to premature drug discontinuation. We sought to evaluate the clinical and genetic risk factors associated with AI-associated arthralgia (AIAA). METHODS We performed a cross-sectional study among postmenopausal women with stage 0-III breast cancer who were prescribed a third-generation AI for adjuvant therapy. The primary outcome was patient-reported AIAA occurrence. We extracted and assayed germline DNA for single nucleotide polymorphisms (SNPs) of genes implicated in estrogen and inflammation pathways. Multivariable logistic regression models examined the association between demographic, clinical, and genetic factors and AIAA. Analyses were restricted to White participants. RESULTS Among 1049 White participants, 543 (52%) reported AIAA. In multivariable analyses, women who had a college education [Adjusted Odds Ratio (AOR) 1.49, 95% Confidence Interval (CI) 1.00-2.20], had a more recent transition into menopause (<10 years) (5-10 years AOR 1.55, 95% CI 1.09-2.22; <5 years AOR 1.78, 95% CI 1.18-2.67), were within one year of starting AIs (AOR 1.61, 95% CI 1.08-2.40), and those who received chemotherapy (AOR 1.38, 95% CI 1.02-1.88) were significantly more likely to report AIAA. Additionally, SNP rs11648233 (HSD17B2) was significantly associated with higher odds of AIAA (AOR 2.21, 95% CI 1.55-3.16). CONCLUSIONS Time since menopause and start of AIs, prior chemotherapy, and SNP rs11648233 within the HSD17B2 gene in the estrogen pathway were significantly associated with patient-reported AIAA. These findings suggest that clinical and genetic factors involved in estrogen withdrawal increase the risk of AIAA in postmenopausal breast cancer survivors.
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Affiliation(s)
- Sally A D Romero
- Memorial Sloan Kettering Cancer Center, Bendheim Integrative Medicine Center, 1429 First Avenue, New York, NY, 10021, USA.
| | - H Irene Su
- Moores Cancer Center, University of California San Diego, 3855 Health Sciences Drive, La Jolla, CA, 92093, USA.
| | - Jaya Satagopan
- Rutgers School of Public Health, 683 Hoes Lane West, Piscataway, NJ, 08854, USA.
| | - Q Susan Li
- Memorial Sloan Kettering Cancer Center, Bendheim Integrative Medicine Center, 1429 First Avenue, New York, NY, 10021, USA.
| | - Christina M Seluzicki
- Memorial Sloan Kettering Cancer Center, Bendheim Integrative Medicine Center, 1429 First Avenue, New York, NY, 10021, USA.
| | - Annika Dries
- Stanford University School of Medicine, 291 Campus Drive, Stanford, CA, 94305, USA.
| | - Angela M DeMichele
- Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA, 19104, USA.
| | - Jun J Mao
- Memorial Sloan Kettering Cancer Center, Bendheim Integrative Medicine Center, 1429 First Avenue, New York, NY, 10021, USA.
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11
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Chan HT, Chin YM, Low SK. The Roles of Common Variation and Somatic Mutation in Cancer Pharmacogenomics. Oncol Ther 2019; 7:1-32. [PMID: 32700193 PMCID: PMC7359987 DOI: 10.1007/s40487-018-0090-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Indexed: 02/07/2023] Open
Abstract
Cancer pharmacogenomics is the science concerned with understanding genetic alterations and its effects on the pharmacokinetics and pharmacodynamics of anti-cancer drugs, with the aim to provide cancer patients with the precise medication that will achieve a good response and cause low/no incidence of adverse events. Advances in biotechnology and bioinformatics have enabled genomic research to evolve from the evaluation of alterations at the single-gene level to studies on the whole-genome scale using large-scale genotyping and next generation sequencing techniques. International collaborative efforts have resulted in the construction of databases to curate the identified genetic alterations that are clinically significant, and these are currently utilized in clinical sequencing and liquid biopsy screening/monitoring. Furthermore, countless clinical studies have accumulated sufficient evidence to match cancer patients to therapies by utilizing the information of clinical-relevant alterations. In this review we summarize the importance of germline alterations that act as predictive biomarkers for drug-induced toxicity and drug response as well as somatic mutations in cancer cells that function as drug targets. The integration of genomics into the medical field has transformed the era of cancer therapy from one-size-fits-all to cancer precision medicine.
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Affiliation(s)
- Hiu Ting Chan
- Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Yoon Ming Chin
- Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Siew-Kee Low
- Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan.
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12
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Konings G, Brentjens L, Delvoux B, Linnanen T, Cornel K, Koskimies P, Bongers M, Kruitwagen R, Xanthoulea S, Romano A. Intracrine Regulation of Estrogen and Other Sex Steroid Levels in Endometrium and Non-gynecological Tissues; Pathology, Physiology, and Drug Discovery. Front Pharmacol 2018; 9:940. [PMID: 30283331 PMCID: PMC6157328 DOI: 10.3389/fphar.2018.00940] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 08/02/2018] [Indexed: 12/20/2022] Open
Abstract
Our understanding of the intracrine (or local) regulation of estrogen and other steroid synthesis and degradation expanded in the last decades, also thanks to recent technological advances in chromatography mass-spectrometry. Estrogen responsive tissues and organs are not passive receivers of the pool of steroids present in the blood but they can actively modify the intra-tissue steroid concentrations. This allows fine-tuning the exposure of responsive tissues and organs to estrogens and other steroids in order to best respond to the physiological needs of each specific organ. Deviations in such intracrine control can lead to unbalanced steroid hormone exposure and disturbances. Through a systematic bibliographic search on the expression of the intracrine enzymes in various tissues, this review gives an up-to-date view of the intracrine estrogen metabolisms, and to a lesser extent that of progestogens and androgens, in the lower female genital tract, including the physiological control of endometrial functions, receptivity, menopausal status and related pathological conditions. An overview of the intracrine regulation in extra gynecological tissues such as the lungs, gastrointestinal tract, brain, colon and bone is given. Current therapeutic approaches aimed at interfering with these metabolisms and future perspectives are discussed.
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Affiliation(s)
- Gonda Konings
- GROW–School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
- Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Linda Brentjens
- GROW–School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
- Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Bert Delvoux
- GROW–School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
- Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, Maastricht, Netherlands
| | | | - Karlijn Cornel
- GROW–School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
- Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, Maastricht, Netherlands
| | | | - Marlies Bongers
- GROW–School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
- Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Roy Kruitwagen
- GROW–School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
- Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Sofia Xanthoulea
- GROW–School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
- Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Andrea Romano
- GROW–School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
- Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, Maastricht, Netherlands
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13
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Hamadeh IS, Patel JN, Rusin S, Tan AR. Personalizing aromatase inhibitor therapy in patients with breast cancer. Cancer Treat Rev 2018; 70:47-55. [PMID: 30086432 DOI: 10.1016/j.ctrv.2018.07.014] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Revised: 07/19/2018] [Accepted: 07/20/2018] [Indexed: 01/15/2023]
Abstract
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.
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Affiliation(s)
- Issam S Hamadeh
- Department of Cancer Pharmacology, Levine Cancer Institute, Atrium Health, Charlotte, NC, United States.
| | - Jai N Patel
- Department of Cancer Pharmacology, Levine Cancer Institute, Atrium Health, Charlotte, NC, United States; University of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC, United States
| | - Stephanie Rusin
- Department of Cancer Pharmacology, Levine Cancer Institute, Atrium Health, Charlotte, NC, United States; University of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC, United States
| | - Antoinette R Tan
- Department of Solid Tumor Oncology and Investigational Therapeutics, Levine Cancer Institute, Atrium Health, Charlotte, NC, United States
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14
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Reinbolt RE, Sonis S, Timmers CD, Fernández-Martínez JL, Cernea A, de Andrés-Galiana EJ, Hashemi S, Miller K, Pilarski R, Lustberg MB. Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm. Cancer Med 2017; 7:240-253. [PMID: 29168353 PMCID: PMC5773952 DOI: 10.1002/cam4.1256] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 10/05/2017] [Accepted: 10/13/2017] [Indexed: 02/06/2023] Open
Abstract
Many breast cancer (BC) patients treated with aromatase inhibitors (AIs) develop aromatase inhibitor‐related arthralgia (AIA). Candidate gene studies to identify AIA risk are limited in scope. We evaluated the potential of a novel analytic algorithm (NAA) to predict AIA using germline single nucleotide polymorphisms (SNP) data obtained before treatment initiation. Systematic chart review of 700 AI‐treated patients with stage I‐III BC identified asymptomatic patients (n = 39) and those with clinically significant AIA resulting in AI termination or therapy switch (n = 123). Germline DNA was obtained and SNP genotyping performed using the Affymetrix UK BioBank Axiom Array to yield 695,277 SNPs. SNP clusters that most closely defined AIA risk were discovered using an NAA that sequentially combined statistical filtering and a machine‐learning algorithm. NCBI PhenGenI and Ensemble databases defined gene attribution of the most discriminating SNPs. Phenotype, pathway, and ontologic analyses assessed functional and mechanistic validity. Demographics were similar in cases and controls. A cluster of 70 SNPs, correlating to 57 genes, was identified. This SNP group predicted AIA occurrence with a maximum accuracy of 75.93%. Strong associations with arthralgia, breast cancer, and estrogen phenotypes were seen in 19/57 genes (33%) and were functionally consistent. Using a NAA, we identified a 70 SNP cluster that predicted AIA risk with fair accuracy. Phenotype, functional, and pathway analysis of attributed genes was consistent with clinical phenotypes. This study is the first to link a specific SNP/gene cluster to AIA risk independent of candidate gene bias.
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Affiliation(s)
- Raquel E Reinbolt
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Stephen Sonis
- Primary Endpoint Solutions, Watertown, Massachusetts.,Brigham and Women's Hospital and the Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Cynthia D Timmers
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | | | - Ana Cernea
- Primary Endpoint Solutions, Watertown, Massachusetts.,University of Oviedo, Oviedo, Spain
| | | | - Sepehr Hashemi
- Primary Endpoint Solutions, Watertown, Massachusetts.,Harvard School of Dental Medicine, Boston, Massachusetts
| | - Karin Miller
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Robert Pilarski
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Maryam B Lustberg
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
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15
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Sini V, Botticelli A, Lunardi G, Gori S, Marchetti P. Pharmacogenetics and aromatase inhibitor induced side effects in breast cancer patients. Pharmacogenomics 2017; 18:821-830. [PMID: 28592202 DOI: 10.2217/pgs-2017-0006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
This paper reviews genetic variations mainly related to the onset of adverse events during aromatase inhibitors in early breast cancer. Genetic variability could occur at different steps. The analysis included studies that involved breast cancer patients, treated with an aromatase inhibitor, genotyped for CYP19A1 and/or CYP17A1 and/or CYP27B1 and/or TCLA1, and/or RANK/RANKL/OPG and/or ESR1/ESR2, and assessed for toxicity profile. Twenty-two articles were included for the analysis. Three studies evaluated outcomes and adverse events; 19 studies assessed only side effects. Functional variations may be useful in predicting the onset of toxicities. The identification of polymorphisms at increased risk of toxicity may enable patient management. However, more data are needed to be applied in the individualization of treatment in daily practice.
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Affiliation(s)
- Valentina Sini
- Clinical & Molecular Medicine Department, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy.,Oncology Unit - ASL Roma 1 - Santo Spirito Hospital, Rome, Italy
| | - Andrea Botticelli
- Clinical & Molecular Medicine Department, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Gianluigi Lunardi
- Medical Oncology Unit, Sacro Cuore Don Calabria Hospital, Negrar VR, Italy
| | - Stefania Gori
- Medical Oncology Unit, Sacro Cuore Don Calabria Hospital, Negrar VR, Italy
| | - Paolo Marchetti
- Clinical & Molecular Medicine Department, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy.,Oncology Unit, IDI - I.R.C.C.S., Rome, Italy
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16
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Hertz DL, Henry NL, Rae JM. Germline genetic predictors of aromatase inhibitor concentrations, estrogen suppression and drug efficacy and toxicity in breast cancer patients. Pharmacogenomics 2017; 18:481-499. [PMID: 28346074 PMCID: PMC6219438 DOI: 10.2217/pgs-2016-0205] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 12/21/2016] [Indexed: 02/07/2023] Open
Abstract
The third-generation aromatase inhibitors (AIs), anastrozole, letrozole and exemestane, are highly effective for the treatment of estrogen receptor-positive breast cancer in postmenopausal women. AIs inhibit the aromatase (CYP19A1)-mediated production of estrogens. Most patients taking AIs achieve undetectable blood estrogen concentrations resulting in drug efficacy with tolerable side effects. However, some patients have suboptimal outcomes, which may be due, in part, to inherited germline genetic variants. This review summarizes published germline genetic associations with AI treatment outcomes including systemic AI concentrations, estrogenic response to AIs, AI treatment efficacy and AI treatment toxicities. Significant associations are highlighted with commentary about prioritization for future validation to identify pharmacogenetic predictors of AI treatment outcomes that can be used to inform personalized treatment decisions in patients with estrogen receptor-positive breast cancer.
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Affiliation(s)
- Daniel L Hertz
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI 48109-1065, USA
| | - N Lynn Henry
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84103, USA
| | - James M Rae
- Breast Oncology Program, University of Michigan Comprehensive Cancer Center, Ann Arbor, MI 48109-1065, USA
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17
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Crandall CJ, Manson JE, Hohensee C, Horvath S, Wactawski-Wende J, LeBlanc ES, Vitolins MZ, Nassir R, Sinsheimer JS. Association of genetic variation in the tachykinin receptor 3 locus with hot flashes and night sweats in the Women's Health Initiative Study. Menopause 2017; 24:252-261. [PMID: 28231077 PMCID: PMC5327841 DOI: 10.1097/gme.0000000000000763] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
OBJECTIVE Vasomotor symptoms (VMS, ie, hot flashes or night sweats) are reported by many, but not all, women. The extent to which VMS are genetically determined is unknown. We evaluated the relationship of genetic variation and VMS. METHODS In this observational study, we accessed data from three genome-wide association studies (GWAS) (SNP Health Association Resource cohort [SHARe], WHI Memory Study cohort [WHIMS+], and Genome-Wide Association Studies of Treatment Response in Randomized Clinical Trials [GARNET] studies, total n = 17,695) of European American, African American, and Hispanic American postmenopausal women aged 50 to 79 years at baseline in the Women's Health Initiative Study. We examined genetic variation in relation to VMS (yes/no) in each study and using trans-ethnic inverse variance fixed-effects meta-analysis. A total of 11,078,977 single-nucleotide polymorphisms (SNPs) met the quality criteria. RESULTS After adjustment for covariates and population structure, three SNPs (on chromosomes 3 and 11) were associated with VMS at the genome-wide threshold of 5 × 10 in the African American SHARe GWAS, but were not associated in the other cohorts. In the meta-analysis, 14 SNPs, all located on chromosome 4 in the tachykinin receptor 3 (TACR3) locus, however, had P < 5 × 10. These SNPs' effect sizes were similar across studies/participants' ancestry (odds ratio ∼1.5). CONCLUSIONS Genetic variation in TACR3 may contribute to the risk of VMS. To our knowledge, this is the first GWAS to examine SNPs associated with VMS. These results support the biological hypothesis of a role for TACR3 in VMS, which was previously hypothesized from animal and human studies. Further study of these variants may lead to new insights into the biological pathways involved in VMS, which are poorly understood.
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Affiliation(s)
- Carolyn J. Crandall
- Dept. of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA
| | - JoAnn E. Manson
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, 02215, USA
| | - Chancellor Hohensee
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Steve Horvath
- Dept. of Human Genetics and Biostatistics, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA
| | - Jean Wactawski-Wende
- Dept. of Epidemiology and Environmental Health, University at Buffalo, the State University of NY, Buffalo, NY, 14214, USA
| | - Erin S. LeBlanc
- Center for Health Research NW, Kaiser Permanente, Portland, OR, 97239, USA
| | - Mara Z. Vitolins
- Dept of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Rami Nassir
- Department of Biochemistry and Molecular Medicine, University of California-Davis Davis, CA, 95616, USA
| | - Janet S. Sinsheimer
- Dept. of Human Genetics and Biomathematics, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA
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18
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Fontein DBY, Charehbili A, Nortier JWR, Putter H, Kranenbarg EMK, Kroep JR, Linn SC, van de Velde CJH. Specific adverse events are associated with response to exemestane therapy in postmenopausal breast cancer patients: Results from the TEAMIIA study (BOOG2006-04). Eur J Surg Oncol 2016; 43:619-624. [PMID: 28017458 DOI: 10.1016/j.ejso.2016.07.146] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2016] [Revised: 06/26/2016] [Accepted: 07/04/2016] [Indexed: 12/12/2022] Open
Abstract
PURPOSE In the adjuvant setting, specific adverse events (AEs) such as vasomotor symptoms (VMS) and musculoskeletal AEs are associated with relapse-free survival in aromatase inhibitor (AI)-treated patients. In the neoadjuvant setting, specific AEs may be associated with tumor response to AIs as well. METHODS Between 2007 and 2012, 107 patients participated in the prospective TEAMIIA trial, a prospective, phase II trial investigating 6 months of neoadjuvant exemestane in patients with strongly ER-positive breast cancer. Radiological response (≥30% decrease in tumor size) was studied in relation to VMSs and MSAEs. Pearson's Chi-Square tests and multivariate logistic regression analyses were used to evaluate of statistical significance (p < 0.05). RESULTS Out of 102 patients 26 patients (25.4%) experienced at least one episode of VMS and 27 patients (26.4%) experienced MSAE. Out of 240 reported adverse events, 71 were specific AEs (40 MSAEs, 31 VMSs). Radiological response was greater in patients who reported VMSs compared to patients who did not (70.8% vs. 49.3%, multivariate OR 2.91, 95% C.I. 1.03-8.26, P = 0.045). No significant advantage towards better response was observed in patients who experienced MSAEs (60.0% vs. 53.3%, univariate OR 1.33, 95% C.I. 0.53-3.38, P = 0.545). CONCLUSION VMSs are associated with tumor response to neoadjuvant exemestane and may be useful for predicting treatment outcomes of AI treatment at an early stage in patients treated with neoadjuvant AIs.
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MESH Headings
- Aged
- Aged, 80 and over
- Androstadienes/adverse effects
- Aromatase Inhibitors/adverse effects
- Arthralgia/chemically induced
- Arthritis/chemically induced
- Breast Neoplasms/diagnostic imaging
- Breast Neoplasms/drug therapy
- Breast Neoplasms/metabolism
- Carcinoma, Ductal, Breast/diagnostic imaging
- Carcinoma, Ductal, Breast/drug therapy
- Carcinoma, Ductal, Breast/metabolism
- Carcinoma, Lobular/diagnostic imaging
- Carcinoma, Lobular/drug therapy
- Carcinoma, Lobular/metabolism
- Disease-Free Survival
- Female
- Hot Flashes/chemically induced
- Humans
- Joint Diseases/chemically induced
- Logistic Models
- Magnetic Resonance Imaging
- Mammography
- Mastectomy
- Middle Aged
- Multivariate Analysis
- Musculoskeletal Diseases/chemically induced
- Myalgia/chemically induced
- Neoadjuvant Therapy
- Odds Ratio
- Osteoporosis/chemically induced
- Postmenopause
- Prognosis
- Receptors, Estrogen/metabolism
- Treatment Outcome
- Ultrasonography, Mammary
- Vasomotor System
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Affiliation(s)
- D B Y Fontein
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - A Charehbili
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands; Department of Clinical Oncology, Leiden University Medical Center, Leiden, The Netherlands.
| | - J W R Nortier
- Department of Clinical Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - H Putter
- Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - J R Kroep
- Department of Clinical Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - S C Linn
- Department of Medical Oncology, Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands; Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - C J H van de Velde
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
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19
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Johansson H, Gray KP, Pagani O, Regan MM, Viale G, Aristarco V, Macis D, Puccio A, Roux S, Maibach R, Colleoni M, Rabaglio M, Price KN, Coates AS, Gelber RD, Goldhirsch A, Kammler R, Bonanni B, Walley BA. Impact of CYP19A1 and ESR1 variants on early-onset side effects during combined endocrine therapy in the TEXT trial. Breast Cancer Res 2016; 18:110. [PMID: 27825388 PMCID: PMC5101790 DOI: 10.1186/s13058-016-0771-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Accepted: 10/17/2016] [Indexed: 01/21/2023] Open
Abstract
Background Single nucleotide polymorphisms (SNPs) in the estrogen receptor 1 (ESR1) and cytochrome P450 19A1 (CYP19A1) genes have been associated with breast cancer risk, endocrine therapy response and side effects, mainly in postmenopausal women with early breast cancer. This analysis aimed to assess the association of selected germline CYP19A1 and ESR1 SNPs with early-onset hot flashes, sweating and musculoskeletal symptoms in premenopausal patients enrolled in the Tamoxifen and Exemestane Trial (TEXT). Methods Blood was collected from consenting premenopausal women with hormone-responsive early breast cancer, randomly assigned to 5-years of tamoxifen plus ovarian suppression (OFS) or exemestane plus OFS. DNA was extracted with QIAamp kits and genotyped for two CYP19A1 (rs4646 and rs10046) and three ESR1 (rs2077647, rs2234693 and rs9340799) SNPs by a real-time pyrosequencing technique. Adverse events (AEs) were recorded at baseline and 3-monthly during the first year. Associations of the genotype variants with grade ≥2 early-onset targeted AEs of hot flashes/sweating or musculoskeletal events were assessed using logistic regression models. Results There were 2660 premenopausal patients with breast cancer in the intention-to-treat population of TEXT, and 1967 (74 %) are included in this translational study. The CYP19A1 rs10046 variant T/T, represented in 23 % of women, was associated with a reduced incidence of grade ≥2 hot flashes/sweating (univariate odds ratio (OR) = 0.78; 95 % CI 0.63–0.97; P = 0.03), more strongly in patients assigned exemestane + OFS (TT vs CT/CC: OR = 0.65, 95 % CI = 0.48–0.89) than assigned tamoxifen + OFS (OR = 0.94, 95 % CI = 0.69–1.27, interaction P = 0.03). No association with any of the CYP19A1/ESR1 genotypes and musculoskeletal AEs was found. Conclusion The CYP19A1 rs10046 variant T/T favors lower incidence of hot flashes/sweating under exemestane + OFS treatment, suggesting endocrine-mediated effects. Based on findings from others, this SNP may potentially enhance treatment adherence and treatment efficacy. We plan to evaluate the clinical impact of this polymorphism during time, pending sufficient median follow up. Trial registration ClinicalTrials.gov NCT00066703, registered August 6, 2003.
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Affiliation(s)
- Harriet Johansson
- Division of Cancer Prevention and Genetics, European Institute of Oncology, Via Ripamonti 435, Milan, 20141, Italy.
| | - Kathryn P Gray
- International Breast Cancer Study Group (IBCSG) Statistical Center, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard T. H. Chan School of Public Health, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Olivia Pagani
- Institute of Oncology of Southern Switzerland (IOSI), Bellinzona, Switzerland.,International Breast Cancer Study Group, Bern, Switzerland.,Swiss Group for Clinical Cancer Research SAKK, Lugano Viganello, Switzerland
| | - Meredith M Regan
- IBCSG Statistical Center, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Giuseppe Viale
- Department of Pathology and Laboratory Medicine, IBCSG Central Pathology Laboratory, European Institute of Oncology, and University of Milan, Via Ripamonti 435, Milan, 20141, Italy
| | - Valentina Aristarco
- Division of Cancer Prevention and Genetics, European Institute of Oncology, Via Ripamonti 435, Milan, 20141, Italy
| | - Debora Macis
- Division of Cancer Prevention and Genetics, European Institute of Oncology, Via Ripamonti 435, Milan, 20141, Italy
| | - Antonella Puccio
- Division of Cancer Prevention and Genetics, European Institute of Oncology, Via Ripamonti 435, Milan, 20141, Italy
| | - Susanne Roux
- International Breast Cancer Study Group (IBCSG) Coordinating Center, Effingerstrasse 40, Bern, CH-3008, Switzerland
| | - Rudolf Maibach
- International Breast Cancer Study Group (IBCSG) Coordinating Center, Effingerstrasse 40, Bern, CH-3008, Switzerland
| | - Marco Colleoni
- Division of Medical Senology, European Institute of Oncology, Via Ripamonti 435, Milan, 20141, Italy
| | - Manuela Rabaglio
- IBCSG Statistical Center, Frontier Science and Technology Research Foundation, Boston, MA, USA
| | - Karen N Price
- IBCSG Statistical Center, Frontier Science and Technology Research Foundation, Boston, MA, USA.,Dana-Farber Cancer Institute, Department of Biostatistics and Computatonal Biology, 450 Brookline Ave, Boston, MA, 02215, USA
| | - Alan S Coates
- International Breast Cancer Study Group and University of Sydney School of Public Health, Sydney, Australia
| | - Richard D Gelber
- IBCSG Statistical Center, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard T.H. Chan School of Public Health, Harvard Medical School, Frontier Science and Technology Research Foundation, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Aron Goldhirsch
- Program for Breast Health, European Institute of Oncology, Via Ripamonti 435, Milan, 20141, Italy
| | - Roswitha Kammler
- Translational Research Coordination and Central Pathology Office, IBCSG Coordinating Center, Effingerstrasse 40, Bern, CH-3008, Switzerland
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, European Institute of Oncology, Via Ripamonti 435, Milan, 20141, Italy
| | - Barbara A Walley
- Breast Unit of Southern Switzerland, Bellinzona, Switzerland.,National Cancer Institute of Canada, Kingston, ON, Canada
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20
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Morimoto M, Takahashi M, Honda J, Yoshida T, Yoshida M, Toba H, Imoto I, Tangoku A, Sasa M. Assay of serum E2 concentration in postmenopausal breast cancer patients using a high-sensitivity RIA method is generally useful. THE JOURNAL OF MEDICAL INVESTIGATION 2016; 63:236-40. [PMID: 27644565 DOI: 10.2152/jmi.63.236] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND Serum E2 must be monitored for aromatase inhibitor (AI) therapy, but conventional assays lack sensitivity. SUBJECTS/METHODS Forty amenorrheic breast cancer patients scheduled for AI treatment but requiring hormonological confirmation of their menopausal status were studied. Serum E2 data generated by high-sensitivity RIA and by LC-MS/MS were analyzed for correlation. RESULTS RIA gave a higher E2 value than LC-MS/MS in 62% of cases, but there was a significant positive correlation. Patients whose E2 levels by RIA were ≥ 2.5 pg/mL higher than those by LC-MS/MS (RIA-H group) and all other patients (RIA-N group) were compared. Both groups showed strong correlations between the two assay methods. With both methods patients with a high BMI had significantly elevated E2. Multiple regression analysis used age, age at menarche, number of births and BMI as explanatory variables. Significant variables were the BMI with LC-MS/MS, and both BMI and age with RIA. The RIA-H and RIA-N groups showed no difference in regard to the BMI, whereas the age was significantly lower in the RIA-H group. SUMMARY Serum E2 levels determined for postmenopausal women by RIA and LC-MS/MS generally correlated well. High-sensitivity RIA is a potentially useful clinical assay, but it overestimated serum E2 in some women. J. Med. Invest. 63: 236-240, August, 2016.
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Affiliation(s)
- Masami Morimoto
- Department of Oncological and Regenerative Surgery, Institute of Health Biosciences, the University of Tokushima
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21
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Abstract
OBJECTIVES Single nucleotide variations (SNVs) in the cytochrome P450 (CYP) gene family are a primary cause of interindividual differences in therapeutic effects and adverse reactions to drugs. However, we still lack important information on the extent of CYP polymorphisms at the population level. Here, we developed a comprehensive data set of SNVs in all 57 human CYP genes by integrating data from two extensive population sequencing projects and analyzed the distribution of SNVs in different subpopulations. MATERIALS AND METHODS CYP genetic variants derived from the NHLBI and 1000 Genomes project were classified by variant type, frequency, and ethnic origins. The genetic variability of CYP genes was normalized on the basis of nonlinear regression and the total number of genetic variations was estimated by the derived formulas. RESULTS In total, we detected 6165 SNVs, of which many were novel. The vast majority (83.2%) of all SNVs in coding regions were very rare (minor allele frequency <0.1%). On the basis of the regression analysis, the total number of genetic variations in human CYP genes was calculated to be 3.4 × 10 and 4.8 × 10 for a population size of one million in Europeans and Africans, respectively. CONCLUSION Our results suggest that the variant spectrum of human CYP genes is extensive and only a fraction of SNVs has been characterized to date. Moreover, the multitude of very rare novel sequence variants indicates that the commonly used SNV platforms are not satisfactory for determining the true genotype, which is critical information for personalized treatment with drugs influenced by CYP polymorphisms.
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22
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Polymorphisms in drug-metabolizing enzymes and steady-state exemestane concentration in postmenopausal patients with breast cancer. THE PHARMACOGENOMICS JOURNAL 2016; 17:521-527. [PMID: 27549341 PMCID: PMC5323433 DOI: 10.1038/tpj.2016.60] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 06/13/2016] [Accepted: 06/15/2016] [Indexed: 12/18/2022]
Abstract
Discovery of clinical and genetic predictors of exemestane pharmacokinetics was attempted in 246 post-menopausal patients with breast cancer enrolled on a prospective clinical study. A sample was collected two hours after exemestane dosing at a 1 or 3 month study visit to measure drug concentration. The primary hypothesis was that patients carrying the low-activity CYP3A4*22 (rs35599367) SNP would have greater exemestane concentration. Additional SNPs in genes relevant to exemestane metabolism (CYP1A1/2, CYP1B1, CYP3A4, CYP4A11, AKR1C3/4, AKR7A2) were screened in secondary analyses and adjusted for clinical covariates. CYP3A4*22 was associated with a 54% increase in exemestane concentration (p<0.01). Concentration was greater in patients who reported White race, had elevated aminotransferases, renal insufficiency, lower body mass index, and had not received chemotherapy (all p<0.05), and CYP3A4*22 maintained significance after adjustment for covariates (p<0.01). These genetic and clinical predictors of exemestane concentration may be useful for treatment individualization in patients with breast cancer.
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23
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Liu X, Low SK, Boddy AV. The implications of genetic variation for the pharmacokinetics and pharmacodynamics of aromatase inhibitors. Expert Opin Drug Metab Toxicol 2016; 12:851-63. [PMID: 27253864 DOI: 10.1080/17425255.2016.1196189] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
INTRODUCTION Breast cancer is the most common female cancer and remains a serious public health concern worldwide. Third-generation aromatase inhibitors (AIs) are widely used in postmenopausal women with estrogen receptor positive breast cancer. However, there is marked interindividual variability in terms of the efficacy and incidence of adverse events following treatment with AIs. Pharmacogenetics has the potential to predict clinical outcomes based on patients' genetic information, paving the way towards personalized treatment. AREAS COVERED This article reviews pharmacogenetic studies of AIs, including pharmacokinetic and pharmacodynamic aspects, highlighting those studies where the efficacy and adverse events of AIs have been examined using both candidate gene and genome-wide approaches. EXPERT OPINION Pharmacogenetics is a promising approach to develop personalized medicine with AIs. However, the application of pharmacogenetics to predict therapeutic efficacy and adverse events in breast cancer patients is still far from implementation in routine clinical practice. Large, comprehensive, multicenter studies that simultaneously evaluate multiple genes and pathways, including rare variants, are warranted in order to produce reliable and informative results. The ultimate aim is to develop clinically-relevant guidelines for breast cancer therapy.
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Affiliation(s)
- Xiaoman Liu
- a Faculty of Pharmacy , University of Sydney , Sydney , Australia
| | - Siew-Kee Low
- a Faculty of Pharmacy , University of Sydney , Sydney , Australia
| | - Alan V Boddy
- a Faculty of Pharmacy , University of Sydney , Sydney , Australia
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24
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Lintermans A, Van Asten K, Jongen L, Van Brussel T, Laenen A, Verhaeghe J, Vanderschueren D, Lambrechts D, Neven P. Genetic variant in the osteoprotegerin gene is associated with aromatase inhibitor-related musculoskeletal toxicity in breast cancer patients. Eur J Cancer 2016; 56:31-36. [PMID: 26798969 DOI: 10.1016/j.ejca.2015.12.013] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Revised: 11/27/2015] [Accepted: 12/14/2015] [Indexed: 11/29/2022]
Abstract
BACKGROUND Aromatase inhibitor (AI) therapy is associated with musculoskeletal (MS) toxicity, which adversely affects quality of life and therapy adherence. Our objective was to evaluate whether genetic variants may predict endocrine therapy-related MS pain and hot flashes in a prospective observational cohort study. PATIENTS & METHODS 254 early breast cancer patients starting AI (n = 159) or tamoxifen therapy (n = 95) were included in this genetic biomarker study. MS and vasomotor symptoms were assessed at baseline and after 3, 6 and 12 months of therapy. AI-induced MS pain was defined as an increase in arthralgia or myalgia relative to baseline. Single nucleotide polymorphisms (SNP) in candidate genes involved in oestrogen signalling or previously associated with AI-related MS pain or oestrogen levels were selected. RESULTS Overall, 13 SNPs in CYP19, CYP17, osteoprotegerin (OPG) and oestrogen receptor 1 exhibited an allele frequency >0.05 and were included in the analysis. Patients carrying the G allele of rs2073618 in OPG experienced significantly more AI-induced MS toxicity compared to the wildtype allele, after correction for multiple testing (P = 0.046). Furthermore, this SNP was associated with severity of pain (P = 0.018). No association was found with regard to the other SNPs, both in AI and tamoxifen-treated patients. Neither could an association with vasomotor symptoms be demonstrated. CONCLUSION The SNP rs2073618 in OPG is associated with an increased risk of MS symptoms and pain with AI therapy, which has not been reported previously. Validation of this finding in larger cohorts and further functional studies are required.
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Affiliation(s)
- A Lintermans
- Department of Gynecology & Obstetrics, University Hospitals Leuven, Leuven, Belgium.
| | - K Van Asten
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - L Jongen
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - T Van Brussel
- Vesalius Research Center, VIB, Leuven, Belgium; Laboratory for Translational Genetics, Department of Oncology, KU Leuven, Leuven, Belgium
| | - A Laenen
- Leuven Biostatistics and Statistical Bioinformatics Centre, KU Leuven, Leuven, Belgium
| | - J Verhaeghe
- Department of Gynecology & Obstetrics, University Hospitals Leuven, Leuven, Belgium; Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - D Vanderschueren
- Department of Clinical and Experimental Medicine, KU Leuven, Leuven, Belgium; Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium
| | - D Lambrechts
- Vesalius Research Center, VIB, Leuven, Belgium; Laboratory for Translational Genetics, Department of Oncology, KU Leuven, Leuven, Belgium
| | - P Neven
- Department of Gynecology & Obstetrics, University Hospitals Leuven, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium
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25
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Artigalás O, Vanni T, Hutz MH, Ashton-Prolla P, Schwartz IV. Influence of CYP19A1 polymorphisms on the treatment of breast cancer with aromatase inhibitors: a systematic review and meta-analysis. BMC Med 2015; 13:139. [PMID: 26067721 PMCID: PMC4475294 DOI: 10.1186/s12916-015-0373-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2015] [Accepted: 05/18/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Many clinical trials have shown the efficacy of aromatase inhibitors (AIs) in the management of breast cancer (BC). There is growing evidence that CYP19A1 single-nucleotide polymorphisms (SNPs) are associated with clinical response (CR) and adverse effects (AEs) among BC patients treated with AIs. The aim of this study was to analyze the association between CYP19A1 polymorphisms and AI treatment in BC patients. METHODS A systematic review was performed in MEDLINE, EMBASE, and LILACS. A meta-analysis was conducted to compare the association between CYP19A1 variants and treatment response among BC patients. RESULTS A total of 12 studies were included in the final analysis. There was significant variation among the populations studied and the SNPs and outcomes investigated. A meta-analysis was only possible for the evaluation of SNP rs4646 vs. the wild-type variant with respect to time to progression (TTP) among metastatic BC patients treated with AI. TTP was significantly increased in patients with the rs4646 variant compared with the wild-type gene (hazard ratio (HR) = 0.51 [95 % confidence interval (CI), 0.33-0.78], P = 0.002). Seven studies analyzed the association between AEs with different polymorphisms of CYP19A1. Although there was a statistically significant association with musculoskeletal adverse events (rs934635, rs60271534, rs700518rs, and haplotype M_3_5) and with vasomotor symptoms (rs934635, rs1694189, rs7176005, and haplotype M_5_3) in individual studies, similar associations were not observed in further studies. No statistically significant association between musculoskeletal AEs and SNPs rs4646, rs10046, rs727479, and rs1062033 was found. CONCLUSIONS These findings suggest that the presence of the rs4646 variant may be a predictive factor of the benefit of AI treatment for BC. The effects of CYP19A1 polymorphisms on clinical outcomes were most often detected in individual studies, suggesting that longer-term studies will better clarify these associations. Additional studies are needed to clarify the predictive value of other SNPs and whether CYP19A1 genotyping should be used to guide AI treatment.
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Affiliation(s)
- Osvaldo Artigalás
- Postgraduate Program in Genetics and Molecular Biology, Department of Genetics, UFRGS, Av. Bento Gonçalves, 9500 - Prédio 43323M CEP: 91501-970 - Caixa Postal 15053, Porto Alegre, Rio Grande do Sul, Brazil. .,Genetics Unit, Children's Hospital, Grupo Hospitalar Conceição, GHC, Av. Francisco Trein, 596, CEP 91350-200, Porto Alegre, RS, Brazil.
| | - Tazio Vanni
- Coordenação Geral de Avaliação de Tecnologias em Saúde - CGATS, Department of Science and Technology, Ministry of Health, SCN Quadra 02 Projeção C Subsolo Sala T-004, CEP: 70712-902, Brasília, DF, Brazil.
| | - Mara Helena Hutz
- Postgraduate Program in Genetics and Molecular Biology, Department of Genetics, UFRGS, Av. Bento Gonçalves, 9500 - Prédio 43323M CEP: 91501-970 - Caixa Postal 15053, Porto Alegre, Rio Grande do Sul, Brazil.
| | - Patricia Ashton-Prolla
- Postgraduate Program in Genetics and Molecular Biology, Department of Genetics, UFRGS, Av. Bento Gonçalves, 9500 - Prédio 43323M CEP: 91501-970 - Caixa Postal 15053, Porto Alegre, Rio Grande do Sul, Brazil. .,Medical Genetics Service, Hospital de Clinicas de Porto Alegre, HCPA, Rua Ramiro Barcelos, 2350, CEP: 90035-903, Porto Alegre, RS, Brazil.
| | - Ida Vanessa Schwartz
- Postgraduate Program in Genetics and Molecular Biology, Department of Genetics, UFRGS, Av. Bento Gonçalves, 9500 - Prédio 43323M CEP: 91501-970 - Caixa Postal 15053, Porto Alegre, Rio Grande do Sul, Brazil. .,Medical Genetics Service, Hospital de Clinicas de Porto Alegre, HCPA, Rua Ramiro Barcelos, 2350, CEP: 90035-903, Porto Alegre, RS, Brazil.
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26
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Leyland-Jones B, Gray KP, Abramovitz M, Bouzyk M, Young B, Long B, Kammler R, Dell'Orto P, Biasi MO, Thürlimann B, Lyng MB, Ditzel HJ, Harvey VJ, Neven P, Treilleux I, Rasmussen BB, Maibach R, Price KN, Coates AS, Goldhirsch A, Pagani O, Viale G, Rae JM, Regan MM. CYP19A1 polymorphisms and clinical outcomes in postmenopausal women with hormone receptor-positive breast cancer in the BIG 1-98 trial. Breast Cancer Res Treat 2015; 151:373-84. [PMID: 25935582 DOI: 10.1007/s10549-015-3378-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Accepted: 04/08/2015] [Indexed: 12/11/2022]
Abstract
To determine whether CYP19A1 polymorphisms are associated with abnormal activity of aromatase and with musculoskeletal and bone side effects of aromatase inhibitors. DNA was isolated from tumor specimens of 4861 postmenopausal women with hormone receptor-positive breast cancer enrolled in the BIG 1-98 trial to receive tamoxifen and/or letrozole for 5 years. Tumors were genotyped for six CYP19A1 polymorphisms using PCR-based methods. Associations with breast cancer-free interval (BCFI), distant recurrence-free interval (DRFI), musculoskeletal and bone adverse events (AEs) were assessed using Cox proportional hazards models. All statistical tests were two-sided. No association between the CYP19A1 genotypes and BCFI or DRFI was observed overall. A reduced risk of a breast cancer event for tamoxifen-treated patients with rs700518 variants was observed (BCFI CC/TC vs. TT: HR 0.53, 95 % CI 0.34-0.82, interaction P = 0.08), but not observed for letrozole-treated patients. There was an increased risk of musculoskeletal AEs for patients with rs700518 variants CC/TC versus TT (HR 1.22, 95 % CI 1.03-1.45, P = 0.02), regardless of treatment. Tamoxifen-treated patients with rs4646 variants had a reduced risk of bone AEs (AA/CA vs. CC: HR 0.76, 95 % CI 0.59-0.98), whereas an increase of minor allele (C) of rs10046 was associated with an increased risk of bone AEs (HR 1.28, 95 % CI 1.07-1.52). rs936308 variants were associated with a reduced risk of bone AEs in letrozole-treated patients (GG/GC vs. CC: HR 0.73, 95 % CI 0.54-0.99), different from in tamoxifen-treated patients (GG/GC vs. CC: HR 1.32, 95 % CI 0.92-1.90, interaction P = 0.01). CYP19A1 rs700518 variants showed associations with BCFI, DRFI, in tamoxifen treated patients and musculoskeletal AEs regardless of treatment. SNPs rs4646, rs10046, and rs936308 were associated with bone AEs.
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