Literature DB >> 11854020

Aromatase inhibitors in breast cancer.

Angela Brodie1.   

Abstract

Several compounds that selectively inhibit estrogen synthesis via aromatase have been developed. Steroidal substrate analogs, such as formestane and exemestane, inactivate aromatase by binding irreversibly to it. Non-steroidal inhibitors, such as the triazole compounds letrozole and anastrozole, are highly potent, reversible inhibitors with good specificity for aromatase. The intratumoral aromatase model for postmenopausal breast cancer has been used to investigate the efficacy of letrozole, anastrozole and exemestane in combination and sequentially. Combining letrozole or arimidex with tamoxifen or faslodex was not more effective than the aromatase inhibitors alone, but was more effective than tamoxifen alone. Letrozole was superior to and longer lasting than the other agents, suggesting that aromatase inhibitors control tumor growth effectively by inducing greater tumor response and extending treatment time. In addition, aromatase inhibitors can be effective in patients relapsing from tamoxifen. Because two types of aromatase inhibitors are available, steroidal enzyme inactivators and reversible non-steroidal inhibitors in sequential therapy could be useful if resistance to one type develops.

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Year:  2002        PMID: 11854020     DOI: 10.1016/s1043-2760(01)00529-x

Source DB:  PubMed          Journal:  Trends Endocrinol Metab        ISSN: 1043-2760            Impact factor:   12.015


  10 in total

1.  Population pharmacokinetic analysis of letrozole in Japanese postmenopausal women.

Authors:  Hiromi Tanii; Yoshihisa Shitara; Toshiharu Horie
Journal:  Eur J Clin Pharmacol       Date:  2011-04-15       Impact factor: 2.953

Review 2.  Structural and Functional Biology of Aldo-Keto Reductase Steroid-Transforming Enzymes.

Authors:  Trevor M Penning; Phumvadee Wangtrakuldee; Richard J Auchus
Journal:  Endocr Rev       Date:  2019-04-01       Impact factor: 19.871

3.  The Dysregulated Pharmacology of Clinically Relevant ESR1 Mutants is Normalized by Ligand-activated WT Receptor.

Authors:  Kaitlyn J Andreano; Jennifer G Baker; Sunghee Park; Rachid Safi; Sandeep Artham; Steffi Oesterreich; Rinath Jeselsohn; Myles Brown; Sarah Sammons; Suzanne E Wardell; Ching-Yi Chang; John D Norris; Donald P McDonnell
Journal:  Mol Cancer Ther       Date:  2020-05-07       Impact factor: 6.261

4.  Estrogen Receptor Alpha and ESR1 Mutations in Breast Cancer.

Authors:  Jaymin M Patel; Rinath M Jeselsohn
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

5.  Genetic polymorphisms of ESR1, ESR2, CYP17A1, and CYP19A1 and the risk of breast cancer: a case control study from North India.

Authors:  Shilpi Chattopadhyay; Sarah Siddiqui; Md Salman Akhtar; Mohammad Zeeshan Najm; S V S Deo; N K Shukla; Syed Akhtar Husain
Journal:  Tumour Biol       Date:  2014-01-16

6.  A predictive model for exemestane pharmacokinetics/pharmacodynamics incorporating the effect of food and formulation.

Authors:  Marta Valle; Enrico Di Salle; Maria Gabriella Jannuzzo; Italo Poggesi; Maurizio Rocchetti; Riccardo Spinelli; Davide Verotta
Journal:  Br J Clin Pharmacol       Date:  2005-03       Impact factor: 4.335

7.  Aromatase and dual aromatase-steroid sulfatase inhibitors from the letrozole and vorozole templates.

Authors:  Paul M Wood; L W Lawrence Woo; Mark P Thomas; Mary F Mahon; Atul Purohit; Barry V L Potter
Journal:  ChemMedChem       Date:  2011-05-23       Impact factor: 3.466

8.  During hormone depletion or tamoxifen treatment of breast cancer cells the estrogen receptor apoprotein supports cell cycling through the retinoic acid receptor α1 apoprotein.

Authors:  Marcela D Salazar; Maya Ratnam; Mugdha Patki; Ivana Kisovic; Robert Trumbly; Mohamed Iman; Manohar Ratnam
Journal:  Breast Cancer Res       Date:  2011-02-07       Impact factor: 6.466

9.  Comprehensive and Automated Linear Interaction Energy Based Binding-Affinity Prediction for Multifarious Cytochrome P450 Aromatase Inhibitors.

Authors:  Marc van Dijk; Antonius M Ter Laak; Jörg D Wichard; Luigi Capoferri; Nico P E Vermeulen; Daan P Geerke
Journal:  J Chem Inf Model       Date:  2017-08-23       Impact factor: 4.956

10.  The Lineage Determining Factor GRHL2 Collaborates with FOXA1 to Establish a Targetable Pathway in Endocrine Therapy-Resistant Breast Cancer.

Authors:  Kimberly J Cocce; Jeff S Jasper; Taylor K Desautels; Logan Everett; Suzanne Wardell; Thomas Westerling; Robert Baldi; Tricia M Wright; Kendall Tavares; Alex Yllanes; Yeeun Bae; Jeremy T Blitzer; Craig Logsdon; Daniel P Rakiec; David A Ruddy; Tiancong Jiang; Gloria Broadwater; Terry Hyslop; Allison Hall; Muriel Laine; Linda Phung; Geoffrey L Greene; Lesley-Ann Martin; Sunil Pancholi; Mitch Dowsett; Simone Detre; Jeffrey R Marks; Gregory E Crawford; Myles Brown; John D Norris; Ching-Yi Chang; Donald P McDonnell
Journal:  Cell Rep       Date:  2019-10-22       Impact factor: 9.423

  10 in total

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