Literature DB >> 9081401

Letrozole, a new oral non-steroidal aromastase inhibitor in treating postmenopausal patients with advanced breast cancer. A pilot study.

G Bisagni1, G Cocconi, F Scaglione, F Fraschini, C Pfister, P F Trunet.   

Abstract

PURPOSE: To evaluate the endocrine effects as well as the pharmacokinetic parameters, efficacy and safety of letrozole, a new fourth-generation non-steroidal aromatase inhibitor. PATIENTS AND METHODS: Fourteen postmenopausal women with progressive metastatic breast cancer, previously treated with endocrine therapy and/or chemotherapy for advanced disease, were treated with 0.5 mg daily doses of letrozole, orally. Endocrine and pharmacokinetic measurements were made before treatment and on days 14, 28, 56, and 84 of therapy.
RESULTS: Letrozole induced a >86% decrease in plasma estrone and a approximately 67% reduction in circulating estradiol from day 14 on. There was a statistically significant decrease in plasma cortisol, which appeared clinically irrelevant since all values remained within the normal range. No significant changes in aldosterone concentration were noted. One patient achieved a complete response (CR) and 4 patients a partial response (PR), with an objective response rate of 36% (95% CI 13% to 65%). Median duration of response was 24 months, ranging from 4 to 44 months. No toxic effects attributable to letrozole were noted in any patient.
CONCLUSION: Letrozole appears to be a very promising new antiaromatase drug. The characteristics of the patients more likely to respond, taking into account prior systemic treatment, should be defined by future studies. Further phase II and phase III studies comparing letrozole to other available second or even first-line endocrine-therapy agents, are warranted.

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Year:  1996        PMID: 9081401     DOI: 10.1093/oxfordjournals.annonc.a010490

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  11 in total

Review 1.  Aromatase inhibitors: past, present and future in breast cancer therapy.

Authors:  Udayan Dutta; Kartikeya Pant
Journal:  Med Oncol       Date:  2007-11-01       Impact factor: 3.064

Review 2.  Aromatase inhibitors in the treatment of postmenopausal breast cancer.

Authors:  E Bajetta; N Zilembo; E Bichisao
Journal:  Drugs Aging       Date:  1999-10       Impact factor: 3.923

Review 3.  Comprehensive pharmacology and clinical efficacy of aromatase inhibitors.

Authors:  V C Njar; A M Brodie
Journal:  Drugs       Date:  1999-08       Impact factor: 9.546

Review 4.  Aromatase inhibitors in pediatrics.

Authors:  Jan M Wit; Matti Hero; Susan B Nunez
Journal:  Nat Rev Endocrinol       Date:  2011-10-25       Impact factor: 43.330

5.  Inhibition of oestrogen biosynthesis induces mild anxiety in C57BL/6J ovariectomized female mice.

Authors:  Fan-Tao Meng; Rong-Jun Ni; Zhi Zhang; Jun Zhao; Ya-Jing Liu; Jiang-Ning Zhou
Journal:  Neurosci Bull       Date:  2011-08       Impact factor: 5.203

Review 6.  Letrozole. A review of its use in postmenopausal women with advanced breast cancer.

Authors:  H M Lamb; J C Adkins
Journal:  Drugs       Date:  1998-12       Impact factor: 9.546

7.  Double-Blind, Randomized Trial of Alternative Letrozole Dosing Regimens in Postmenopausal Women with Increased Breast Cancer Risk.

Authors:  Ana Maria López; Sandhya Pruthi; Judy C Boughey; Marjorie Perloff; Chiu-Hsieh Hsu; Julie E Lang; Michele Ley; Denise Frank; Josephine A Taverna; H-H Sherry Chow
Journal:  Cancer Prev Res (Phila)       Date:  2015-12-14

8.  The use of high dose letrozole in ovulation induction and controlled ovarian hyperstimulation.

Authors:  Elizabeth A Pritts; Alexander K Yuen; Shefaali Sharma; Robert Genisot; David L Olive
Journal:  ISRN Obstet Gynecol       Date:  2011-11-17

Review 9.  Azole fungicides affect mammalian steroidogenesis by inhibiting sterol 14 alpha-demethylase and aromatase.

Authors:  Jürg A Zarn; Beat J Brüschweiler; Josef R Schlatter
Journal:  Environ Health Perspect       Date:  2003-03       Impact factor: 9.031

10.  Predicting targeted drug combinations based on Pareto optimal patterns of coexpression network connectivity.

Authors:  Nadia M Penrod; Casey S Greene; Jason H Moore
Journal:  Genome Med       Date:  2014-04-30       Impact factor: 11.117

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