Literature DB >> 25398453

Antiproliferative Effect of Lapatinib in HER2-Positive and HER2-Negative/HER3-High Breast Cancer: Results of the Presurgical Randomized MAPLE Trial (CRUK E/06/039).

Alexandra Leary1, Abigail Evans2, Stephen R D Johnston3, Roger A'Hern4, Judith M Bliss4, Rashmita Sahoo5, Simone Detre6, Benjamin P Haynes7, Margaret Hills6, Catherine Harper-Wynne8, Nigel Bundred9, Gill Coombes4, Ian Smith7, Mitch Dowsett10.   

Abstract

PURPOSE: Not all breast cancers respond to lapatinib. A change in Ki67 after short-term exposure may elucidate a biomarker profile for responsive versus nonresponsive tumors. EXPERIMENTAL
DESIGN: Women with primary breast cancer were randomized (3:1) to 10 to 14 days of preoperative lapatinib or placebo in a multicenter phase II trial (ISRCTN68509377). Biopsies pre-/posttreatment were analyzed for Ki67, apoptosis, HER2, EGFR, ER, PgR, pAKT, pERK, and stathmin by IHC. Further markers were measured by RT-PCR. Primary endpoint was change in Ki67. HER2(+) was defined as 2+/3+ by IHC and FISH(+).
RESULTS: One hundred twenty-one patients (lapatinib, 94; placebo, 27) were randomized; of these, 21% were HER2(+), 78% were HER2(-) nonamplified, 26% were EGFR(+). Paired samples containing tumor were obtained for 98% (118 of 121). Ki67 fell significantly with lapatinib (-31%; P < 0.001), but not with placebo (-3%). Whereas Ki67 reduction with lapatinib was greatest in HER2(+) breast cancer (-46%; P = 0.003), there was a significant Ki67 decrease in HER2(-) breast cancer (-27%; P = 0.017) with 14% of HER2(-) breast cancer demonstrating ≥50% Ki67 reduction with lapatinib. Among HER2(+) patients, the only biomarker predictive of Ki67 response was the EGFR/HER4 ligand epiregulin (EREG) (rho = -0.7; P = 0.002). Among HER2(-) tumors, only HER3 mRNA levels were significantly associated with Ki67 response on multivariate analysis (P = 0.01). In HER2(-) breast cancer, HER2 and HER3 mRNA levels were highly correlated (rho = 0.67, P < 0.001), with all Ki67 responders having elevated HER3 and HER2 expression.
CONCLUSIONS: Lapatinib has antiproliferative effects in a subgroup of HER2(-) nonamplified tumors characterized by high HER3 expression. The possible role of high HER2:HER3 heterodimers in predicting response to lapatinib merits investigation in HER2(-) tumors. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 25398453     DOI: 10.1158/1078-0432.CCR-14-1428

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  14 in total

Review 1.  Neoadjuvant Trials in ER+ Breast Cancer: A Tool for Acceleration of Drug Development and Discovery.

Authors:  Angel L Guerrero-Zotano; Carlos L Arteaga
Journal:  Cancer Discov       Date:  2017-05-11       Impact factor: 39.397

2.  HER Targeting in HER2-Negative Breast Cancers: Looking for the HER3 Positive.

Authors:  Marcia R Campbell; Mark M Moasser
Journal:  Clin Cancer Res       Date:  2015-01-21       Impact factor: 12.531

3.  Patterns of Regression in Breast Cancer after Primary Systemic Treatment.

Authors:  Tamás Zombori; Gábor Cserni
Journal:  Pathol Oncol Res       Date:  2018-11-27       Impact factor: 3.201

4.  Patient perspectives on window of opportunity clinical trials in early-stage breast cancer.

Authors:  George W Sledge; Jennifer L Caswell-Jin; Divya A Parikh; Lisa Kody; Susie Brain; Diane Heditsian; Vivian Lee; Christina Curtis; Mardi R Karin; Irene L Wapnir; Manali I Patel
Journal:  Breast Cancer Res Treat       Date:  2022-05-11       Impact factor: 4.624

5.  Molecular Subtyping of Triple-Negative Breast Cancers by Immunohistochemistry: Molecular Basis and Clinical Relevance.

Authors:  Shen Zhao; Ding Ma; Yi Xiao; Xiao-Mei Li; Jian-Li Ma; Han Zhang; Xiao-Li Xu; Hong Lv; Wen-Hua Jiang; Wen-Tao Yang; Yi-Zhou Jiang; Qing-Yuan Zhang; Zhi-Ming Shao
Journal:  Oncologist       Date:  2020-06-01       Impact factor: 5.837

Review 6.  Response biomarkers: re-envisioning the approach to tailoring drug therapy for cancer.

Authors:  Shahil Amin; Oliver F Bathe
Journal:  BMC Cancer       Date:  2016-11-05       Impact factor: 4.430

7.  BGRMI: A method for inferring gene regulatory networks from time-course gene expression data and its application in breast cancer research.

Authors:  Luis F Iglesias-Martinez; Walter Kolch; Tapesh Santra
Journal:  Sci Rep       Date:  2016-11-23       Impact factor: 4.379

8.  Lapatinib inhibits CIP2A/PP2A/p-Akt signaling and induces apoptosis in triple negative breast cancer cells.

Authors:  Chun-Yu Liu; Ming-Hung Hu; Chia-Jung Hsu; Chun-Teng Huang; Duen-Shian Wang; Wen-Chun Tsai; Yi-Ting Chen; Chia-Han Lee; Pei-Yi Chu; Chia-Chi Hsu; Ming-Huang Chen; Chung-Wai Shiau; Ling-Ming Tseng; Kuen-Feng Chen
Journal:  Oncotarget       Date:  2016-02-23

9.  HER2-HER3 dimer quantification by FLIM-FRET predicts breast cancer metastatic relapse independently of HER2 IHC status.

Authors:  Gregory Weitsman; Paul R Barber; Lan K Nguyen; Katherine Lawler; Gargi Patel; Natalie Woodman; Muireann T Kelleher; Sarah E Pinder; Mark Rowley; Paul A Ellis; Anand D Purushotham; Anthonius C Coolen; Boris N Kholodenko; Borivoj Vojnovic; Cheryl Gillett; Tony Ng
Journal:  Oncotarget       Date:  2016-08-09

10.  Adverse event profiles of epidermal growth factor receptor-tyrosine kinase inhibitors in cancer patients: A systematic review and meta-analysis.

Authors:  Xiaonan Yin; Zhou Zhao; Yuan Yin; Chaoyong Shen; Xin Chen; Zhaolun Cai; Jian Wang; Zhixin Chen; Yiqiong Yin; Bo Zhang
Journal:  Clin Transl Sci       Date:  2021-01-25       Impact factor: 4.689

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