Literature DB >> 21129615

Lapatinib in breast cancer: clinical experiences and future perspectives.

M Giampaglia1, V E Chiuri, A Tinelli, M De Laurentiis, N Silvestris, V Lorusso.   

Abstract

Lapatinib, an orally available dual inhibitor targeting the tyrosine-kinase domain of both epidermal growth factor receptor-1 and 2, has been introduced for the treatment of advanced/metastatic HER2+ breast cancer in combination with capacitabine after chemotherapy regimens containing anthracycline, taxanes and trastuzumab. Moreover, lapatinib is under investigation in combination with anthracycline and taxanes in neoadjuvant and adjuvant settings. Another potential field of investigation for this drug is related to its ability to restore hormonal sensitivity of HER2-, hormone-receptor positive breast cancer cells. This paper reviews the current use of lapatinib in breast cancer and its future perspectives.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21129615     DOI: 10.1016/S0305-7372(10)70024-4

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  4 in total

1.  Quercetin-3-methyl ether inhibits lapatinib-sensitive and -resistant breast cancer cell growth by inducing G(2)/M arrest and apoptosis.

Authors:  Jixia Li; Feng Zhu; Ronald A Lubet; Antonella De Luca; Clinton Grubbs; Marna E Ericson; Amelia D'Alessio; Nicola Normanno; Zigang Dong; Ann M Bode
Journal:  Mol Carcinog       Date:  2011-11-15       Impact factor: 4.784

Review 2.  Implications of functional proteomics in breast cancer.

Authors:  Young Kwang Chae; Ana Maria Gonzalez-Angulo
Journal:  Oncologist       Date:  2014-03-24

3.  Molecular effects of lapatinib in patients with HER2 positive ductal carcinoma in situ.

Authors:  Laura G Estévez; Ana Suarez-Gauthier; Elena García; Cristina Miró; Isabel Calvo; María Fernández-Abad; Mercedes Herrero; Manuel Marcos; Cristina Márquez; Fernando Lopez Ríos; Sofía Perea; Manuel Hidalgo
Journal:  Breast Cancer Res       Date:  2014-09-04       Impact factor: 6.466

4.  Predicting Lapatinib Dose Regimen Using Machine Learning and Deep Learning Techniques Based on a Real-World Study.

Authors:  Ze Yu; Xuan Ye; Hongyue Liu; Huan Li; Xin Hao; Jinyuan Zhang; Fang Kou; Zeyuan Wang; Hai Wei; Fei Gao; Qing Zhai
Journal:  Front Oncol       Date:  2022-06-03       Impact factor: 5.738

  4 in total

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