Literature DB >> 23472669

Epidermal growth factor receptor gene copy number may predict lapatinib sensitivity in HER2-positive metastatic breast cancer.

Alessandra Fabi1, Roberta Merola, Gianluigi Ferretti, Anna Di Benedetto, Barbara Antoniani, Cristiana Ercolani, Cecilia Nisticò, Paola Papaldo, Mariangela Ciccarese, Isabella Sperduti, Patrizia Vici, Mirella Marino, Stefania Gori, Claudio Botti, Paola Malaguti, Francesco Cognetti, Marcella Mottolese.   

Abstract

OBJECTIVE: Lapatinib, a dual HER2/EGFR tyrosine kinase inhibitor (TKI), associated to capecitabine represents the treatment of choice in HER2-positive metastatic breast cancer (BC) patients in progression after trastuzumab-based therapy. Though lapatinib-based therapy prolongs the time to progression, its efficacy is often limited by the development of drug resistance. It is aimed to evaluate novel biomarkers predictive of lapatinib response, we analyzed EGFR protein and gene status in a series of 50 metastatic HER2-positive BC patients.
METHODS: Lapatinib was given at 1250 mg/day continuously and capecitabine at 2000 mg/m(2)/day every 3 weeks. EGFR protein expression and gene copy number (GCN) were assessed by immunohistochemistry and FISH, respectively. Receiver operating curve (ROC) analysis identified the value of > 3.36 EGFR copies/nucleus as the cut-off point able to discriminate responders versus non-responders.
RESULTS: A statistical significant correlation between EGFR GCN value > 3.36 and response to lapatinib (p = 0.01) was found. Cox regression analysis further supported these findings evidencing that HER2 score 3+ and EGFR GCN increase are positive predictor factors of lapatinib response.
CONCLUSIONS: Though further investigations are needed to confirm these findings, EGFR GCN could be a suitable screening to identify the subset of BC patients particularly responsive to the dual TKI lapatinib.

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Year:  2013        PMID: 23472669     DOI: 10.1517/14656566.2013.779672

Source DB:  PubMed          Journal:  Expert Opin Pharmacother        ISSN: 1465-6566            Impact factor:   3.889


  10 in total

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Journal:  J Clin Oncol       Date:  2013-11-18       Impact factor: 44.544

3.  Epidermal growth factor receptor and AKT1 gene copy numbers by multi-gene fluorescence in situ hybridization impact on prognosis in breast cancer.

Authors:  Jiao Li; Wei Su; Sheng Zhang; Yunhui Hu; Jingjing Liu; Xiaobei Zhang; Jingchao Bai; Weiping Yuan; Linping Hu; Tao Cheng; Anders Zetterberg; Zhenmin Lei; Jin Zhang
Journal:  Cancer Sci       Date:  2015-03-16       Impact factor: 6.716

4.  Prognostic and predictive values of EGFR overexpression and EGFR copy number alteration in HER2-positive breast cancer.

Authors:  H J Lee; A N Seo; E J Kim; M H Jang; Y J Kim; J H Kim; S-W Kim; H S Ryu; I A Park; S-A Im; G Gong; K H Jung; H J Kim; S Y Park
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5.  Data Mining Approaches for Genomic Biomarker Development: Applications Using Drug Screening Data from the Cancer Genome Project and the Cancer Cell Line Encyclopedia.

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6.  Predictive value of quantitative HER2, HER3 and p95HER2 levels in HER2-positive advanced breast cancer patients treated with lapatinib following progression on trastuzumab.

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Review 8.  Personalizing health care: feasibility and future implications.

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Journal:  BMC Med       Date:  2013-08-13       Impact factor: 8.775

9.  Unique molecular signatures as a hallmark of patients with metastatic breast cancer: implications for current treatment paradigms.

Authors:  Jennifer J Wheler; Barbara A Parker; Jack J Lee; Johnique T Atkins; Filip Janku; Apostolia M Tsimberidou; Ralph Zinner; Vivek Subbiah; Siqing Fu; Richard Schwab; Stacy Moulder; Vicente Valero; Maria Schwaederle; Roman Yelensky; Vincent A Miller; M Philip J Stephens; Funda Meric-Bernstam; Razelle Kurzrock
Journal:  Oncotarget       Date:  2014-05-15

10.  Predictive Factors of Lapatinib and Capecitabine Activity in Patients with HER2-Positive, Trastuzumab-Resistant Metastatic Breast Cancer: Results from the Italian Retrospective Multicenter HERLAPAC Study.

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Journal:  PLoS One       Date:  2016-05-25       Impact factor: 3.240

  10 in total

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