Cong Zhou1,2, Sarah Taylor2, Jonathan Tugwood2, Kathryn Simpson2, Gordon C Jayson3, Paul Symonds4, James Paul5, Susan Davidson6, Karen Carty5, Elaine McCartney5, Debbie Rai5, Caroline Dive2, Catharine West3. 1. Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK. 2. Clinical & Experimental Pharmacology Group, Cancer Research UK Manchester Institute and Manchester Centre for Cancer Biomarker Sciences, University of Manchester, UK. 3. Division of Cancer Sciences, University of Manchester, Christie Hospital NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK. 4. Department of Cancer Studies, University of Leicester, Leicester, UK. 5. Cancer Research UK Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, Glasgow, UK. 6. Christie Hospital NHS Trust, Manchester, UK.
Abstract
AIMS: There is a need for predictive and surrogate response biomarkers to support treatment with antiangiogenic vascular endothelial growth factor (VEGF) inhibitors. We aimed to identify a minimally-invasive biomarker predicting benefit from cediranib pretreatment or early during treatment in patients with recurrent or metastatic cervical cancer. METHODS: Blood samples were collected before treatment, during treatment and upon disease progression where appropriate from patients enrolled in CIRCCa, a randomised phase II trial of carboplatin and paclitaxel with or without cediranib. Plasma concentrations of VEGF-A, VEGF-receptor 2, Ang1 and Tie2 were measured using multiplex enzyme-linked immunosorbent assay. Pretreatment and temporal changes of the biomarkers were investigated using proportional hazard regression and unsupervised clustering analysis. RESULTS: Samples (n = 556) from 52 patients were analysed. VEGF-receptor 2 (P = .0006) and Tie2 (P = .04) were downregulated following cediranib, while VEGF-A (P = .0025) was upregulated. High Eastern Cooperative Oncology Group performance status (P = .02, hazard ratio [HR] = 2.15, 95% confidence interval [CI] 1.13-4.09) and low pretreatment Tie2 concentrations (P = .003, HR = 0.57, 95%CI 0.39-0.83) were independent prognostic factors associated with reduced progression-free survival. Two patterns of changes in VEGF-A following cediranib were identified. Patients with elevated VEGF-A in the first 3 treatment cycles, regardless of magnitude, had reduced progression-free survival in the placebo arm but improved survival with the addition of cediranib (P = .019, HR = 0.13, 95% CI 0.02-0.71). CONCLUSION: Patterns of early elevation in plasma VEGF-A should be studied further as a potential biomarker to predict treatment benefit from cediranib.
RCT Entities:
AIMS: There is a need for predictive and surrogate response biomarkers to support treatment with antiangiogenic vascular endothelial growth factor (VEGF) inhibitors. We aimed to identify a minimally-invasive biomarker predicting benefit from cediranib pretreatment or early during treatment in patients with recurrent or metastatic cervical cancer. METHODS: Blood samples were collected before treatment, during treatment and upon disease progression where appropriate from patients enrolled in CIRCCa, a randomised phase II trial of carboplatin and paclitaxel with or without cediranib. Plasma concentrations of VEGF-A, VEGF-receptor 2, Ang1 and Tie2 were measured using multiplex enzyme-linked immunosorbent assay. Pretreatment and temporal changes of the biomarkers were investigated using proportional hazard regression and unsupervised clustering analysis. RESULTS: Samples (n = 556) from 52 patients were analysed. VEGF-receptor 2 (P = .0006) and Tie2 (P = .04) were downregulated following cediranib, while VEGF-A (P = .0025) was upregulated. High Eastern Cooperative Oncology Group performance status (P = .02, hazard ratio [HR] = 2.15, 95% confidence interval [CI] 1.13-4.09) and low pretreatment Tie2 concentrations (P = .003, HR = 0.57, 95%CI 0.39-0.83) were independent prognostic factors associated with reduced progression-free survival. Two patterns of changes in VEGF-A following cediranib were identified. Patients with elevated VEGF-A in the first 3 treatment cycles, regardless of magnitude, had reduced progression-free survival in the placebo arm but improved survival with the addition of cediranib (P = .019, HR = 0.13, 95% CI 0.02-0.71). CONCLUSION: Patterns of early elevation in plasma VEGF-A should be studied further as a potential biomarker to predict treatment benefit from cediranib.
Authors: P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther Journal: J Natl Cancer Inst Date: 2000-02-02 Impact factor: 13.506
Authors: Cong Zhou; Sarah Taylor; Jonathan Tugwood; Kathryn Simpson; Gordon C Jayson; Paul Symonds; James Paul; Susan Davidson; Karen Carty; Elaine McCartney; Debbie Rai; Caroline Dive; Catharine West Journal: Br J Clin Pharmacol Date: 2019-04-13 Impact factor: 4.335
Authors: R A Cooper; D P Wilks; J P Logue; S E Davidson; R D Hunter; S A Roberts; C M West Journal: Clin Cancer Res Date: 1998-11 Impact factor: 12.531
Authors: Georgi Atanasov; Hans-Michael Hau; Corinna Dietel; Christian Benzing; Felix Krenzien; Andreas Brandl; Julianna P Englisch; Georg Wiltberger; Katrin Schierle; Simon C Robson; Anja Reutzel-Selke; Sven Jonas; Andreas Pascher; Johann Pratschke; Moritz Schmelzle Journal: J Surg Oncol Date: 2016-04-25 Impact factor: 3.454
Authors: Joachim Drevs; Patrizia Siegert; Michael Medinger; Klaus Mross; Ralph Strecker; Ute Zirrgiebel; Jan Harder; Hubert Blum; Jane Robertson; Juliane M Jürgensmeier; Thomas A Puchalski; Helen Young; Owain Saunders; Clemens Unger Journal: J Clin Oncol Date: 2007-07-20 Impact factor: 44.544
Authors: Jacques Ferlay; Isabelle Soerjomataram; Rajesh Dikshit; Sultan Eser; Colin Mathers; Marise Rebelo; Donald Maxwell Parkin; David Forman; Freddie Bray Journal: Int J Cancer Date: 2014-10-09 Impact factor: 7.396
Authors: Virginia M Rosen; Ines Guerra; Mary McCormack; Angélica Nogueira-Rodrigues; Andre Sasse; Veronica C Munk; Aijing Shang Journal: Int J Gynecol Cancer Date: 2017-07 Impact factor: 3.437
Authors: Alison Backen; Andrew G Renehan; Andrew R Clamp; Carlo Berzuini; Cong Zhou; Amit Oza; Selina Bannoo; Stefan J Scherer; Rosamonde E Banks; Caroline Dive; Gordon C Jayson Journal: Clin Cancer Res Date: 2014-06-19 Impact factor: 12.531
Authors: Cong Zhou; Sarah Taylor; Jonathan Tugwood; Kathryn Simpson; Gordon C Jayson; Paul Symonds; James Paul; Susan Davidson; Karen Carty; Elaine McCartney; Debbie Rai; Caroline Dive; Catharine West Journal: Br J Clin Pharmacol Date: 2019-04-13 Impact factor: 4.335