Literature DB >> 21224365

Impact of exploratory biomarkers on the treatment effect of bevacizumab in metastatic breast cancer.

Adrian M Jubb1, Kathy D Miller, Hope S Rugo, Adrian L Harris, Dafeng Chen, James D Reimann, Melody A Cobleigh, Maike Schmidt, Virginia K Langmuir, Kenneth J Hillan, Daniel S Chen, Hartmut Koeppen.   

Abstract

PURPOSE: The addition of bevacizumab to cytotoxic chemotherapy has demonstrated a progression-free survival (PFS) benefit in the first-line and second-line treatment of advanced or metastatic breast cancer (MBC). However, the addition of bevacizumab to capecitabine in heavily pretreated MBC patients did not show a PFS benefit (AVF2119g phase III trial). The aim of this study was to evaluate the expression of novel putative biomarkers as predictors of benefit from bevacizumab in retrospective subset analyses of the AVF2119g trial. EXPERIMENTAL
DESIGN: In the AVF2119g trial, 462 patients with MBC were randomly assigned to receive capecitabine or capecitabine plus bevacizumab. Primary tumor tissue and outcome data were available for 223 patients. Biomarker expression was assessed by in situ hybridization (VEGF-A, VEGF-B, thrombospondin-2 and Flt4) or immunohistochemistry (VEGF-C, PDGF-C, neuropilin-1, delta-like ligand (Dll) 4, Bv8, p53 and thymidine phosphorylase) on formalin-fixed, paraffin-embedded tissue. PFS was associated with these variables in retrospective subset analyses.
RESULTS: Patients with low scores for Dll4, VEGF-C, and neuropilin-1 showed trends toward improvement in PFS associated with the addition of bevacizumab to capecitabine (P values = 0.01, 0.05, and 0.07, respectively). These observations were not statistically significant following correction for multiple hypothesis testing.
CONCLUSION: These retrospective subset analyses suggest that expression of Dll4, VEGF-C, and neuropilin-1 may predict benefit from bevacizumab. Such observations are not conclusive but warrant additional testing. ©2011 AACR.

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Year:  2011        PMID: 21224365      PMCID: PMC3023787          DOI: 10.1158/1078-0432.CCR-10-1791

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


  48 in total

1.  Circulating endothelial cells and endothelial progenitors as predictive markers of clinical response to bevacizumab-based first-line treatment in advanced colorectal cancer patients.

Authors:  M Ronzoni; M Manzoni; S Mariucci; F Loupakis; S Brugnatelli; K Bencardino; B Rovati; C Tinelli; A Falcone; E Villa; M Danova
Journal:  Ann Oncol       Date:  2010-05-23       Impact factor: 32.976

2.  Association of vascular endothelial growth factor and vascular endothelial growth factor receptor-2 genetic polymorphisms with outcome in a trial of paclitaxel compared with paclitaxel plus bevacizumab in advanced breast cancer: ECOG 2100.

Authors:  Bryan P Schneider; Molin Wang; Milan Radovich; George W Sledge; Sunil Badve; Ann Thor; David A Flockhart; Bradley Hancock; Nancy Davidson; Julie Gralow; Maura Dickler; Edith A Perez; Melody Cobleigh; Tamara Shenkier; Susan Edgerton; Kathy D Miller
Journal:  J Clin Oncol       Date:  2008-10-01       Impact factor: 44.544

3.  Bevacizumab plus interferon alfa compared with interferon alfa monotherapy in patients with metastatic renal cell carcinoma: CALGB 90206.

Authors:  Brian I Rini; Susan Halabi; Jonathan E Rosenberg; Walter M Stadler; Daniel A Vaena; San-San Ou; Laura Archer; James N Atkins; Joel Picus; Piotr Czaykowski; Janice Dutcher; Eric J Small
Journal:  J Clin Oncol       Date:  2008-10-20       Impact factor: 44.544

4.  PDGF-C mediates the angiogenic and tumorigenic properties of fibroblasts associated with tumors refractory to anti-VEGF treatment.

Authors:  Yongping Crawford; Ian Kasman; Lanlan Yu; Cuiling Zhong; Xiumin Wu; Zora Modrusan; Josh Kaminker; Napoleone Ferrara
Journal:  Cancer Cell       Date:  2009-01-06       Impact factor: 31.743

5.  Cell adhesion molecules, vascular endothelial growth factor, and basic fibroblast growth factor in patients with non-small cell lung cancer treated with chemotherapy with or without bevacizumab--an Eastern Cooperative Oncology Group Study.

Authors:  Afshin Dowlati; Robert Gray; Alan B Sandler; Joan H Schiller; David H Johnson
Journal:  Clin Cancer Res       Date:  2008-03-01       Impact factor: 12.531

6.  Characterization and regulation of bv8 in human blood cells.

Authors:  Cuiling Zhong; Xueping Qu; Martha Tan; Y Gloria Meng; Napoleone Ferrara
Journal:  Clin Cancer Res       Date:  2009-03-31       Impact factor: 12.531

7.  Role of Bv8 in neutrophil-dependent angiogenesis in a transgenic model of cancer progression.

Authors:  Farbod Shojaei; Mallika Singh; Jennifer D Thompson; Napoleone Ferrara
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-11       Impact factor: 11.205

8.  Role of CA19.9 in predicting bevacizumab efficacy for metastatic colorectal cancer patients.

Authors:  V Formica; M C Massara; I Portarena; V Fiaschetti; I Grenga; G Del Vecchio Blanco; P Sileri; L Tosetto; F Skoulidis; F Pallone; M Roselli
Journal:  Cancer Biomark       Date:  2009       Impact factor: 4.388

9.  Bevacizumab alone and in combination with irinotecan in recurrent glioblastoma.

Authors:  Henry S Friedman; Michael D Prados; Patrick Y Wen; Tom Mikkelsen; David Schiff; Lauren E Abrey; W K Alfred Yung; Nina Paleologos; Martin K Nicholas; Randy Jensen; James Vredenburgh; Jane Huang; Maoxia Zheng; Timothy Cloughesy
Journal:  J Clin Oncol       Date:  2009-08-31       Impact factor: 44.544

10.  PDGF-C induces maturation of blood vessels in a model of glioblastoma and attenuates the response to anti-VEGF treatment.

Authors:  Emmanuelle di Tomaso; Nyall London; Daniel Fuja; James Logie; James A Tyrrell; Walid Kamoun; Lance L Munn; Rakesh K Jain
Journal:  PLoS One       Date:  2009-04-08       Impact factor: 3.240

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  45 in total

1.  The impact of tumor receptor heterogeneity on the response to anti-angiogenic cancer treatment.

Authors:  Ding Li; Stacey D Finley
Journal:  Integr Biol (Camb)       Date:  2018-04-23       Impact factor: 2.192

2.  Randomized phase II trial designs with biomarkers.

Authors:  Boris Freidlin; Lisa M McShane; Mei-Yin C Polley; Edward L Korn
Journal:  J Clin Oncol       Date:  2012-08-06       Impact factor: 44.544

Review 3.  Bevacizumab: a review of its use in combination with paclitaxel or capecitabine as first-line therapy for HER2-negative metastatic breast cancer.

Authors:  Katherine F Croom; Sohita Dhillon
Journal:  Drugs       Date:  2011-11-12       Impact factor: 9.546

Review 4.  Pharmacogenetic biomarkers for the prediction of response to antiangiogenic treatment.

Authors:  Bryan P Schneider; Fei Shen; Kathy D Miller
Journal:  Lancet Oncol       Date:  2012-10       Impact factor: 41.316

5.  Efficacy, safety, and biomarkers of single-agent bevacizumab therapy in patients with advanced hepatocellular carcinoma.

Authors:  Valérie Boige; David Malka; Abderrahmane Bourredjem; Clarisse Dromain; Charlotte Baey; Nathalie Jacques; Jean-Pierre Pignon; Nadege Vimond; Nathalie Bouvet-Forteau; Thierry De Baere; Michel Ducreux; Françoise Farace
Journal:  Oncologist       Date:  2012-06-15

6.  Elevated DLL4 expression is correlated with VEGF and predicts poor prognosis of nasopharyngeal carcinoma.

Authors:  Jia-Xing Zhang; Man-Bo Cai; Xiao-Pai Wang; Li-Ping Duan; Qiong Shao; Zhu-Ting Tong; Ding-Zhun Liao; Yang-Yang Li; Ma-Yan Huang; Yi-Xin Zeng; Jian-Yong Shao
Journal:  Med Oncol       Date:  2012-12-30       Impact factor: 3.064

7.  Endothelin-1 genetic polymorphism as predictive marker for bevacizumab in metastatic breast cancer.

Authors:  S P Gampenrieder; C Hufnagl; S Brechelmacher; F Huemer; H Hackl; G Rinnerthaler; F Romeder; C Monzo Fuentes; P Morre; C Hauser-Kronberger; B Mlineritsch; R Greil
Journal:  Pharmacogenomics J       Date:  2016-05-03       Impact factor: 3.550

8.  Effect of tumor microenvironment on tumor VEGF during anti-VEGF treatment: systems biology predictions.

Authors:  Stacey D Finley; Aleksander S Popel
Journal:  J Natl Cancer Inst       Date:  2013-05-13       Impact factor: 13.506

Review 9.  Influence of pharmacogenomic profiling prior to pharmaceutical treatment in metastatic colorectal cancer on cost effectiveness : a systematic review.

Authors:  Martin Frank; Thomas Mittendorf
Journal:  Pharmacoeconomics       Date:  2013-03       Impact factor: 4.981

Review 10.  Controlling escape from angiogenesis inhibitors.

Authors:  Barbara Sennino; Donald M McDonald
Journal:  Nat Rev Cancer       Date:  2012-10       Impact factor: 60.716

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