Ignite Creation Date:
2025-12-25 @ 3:44 AM
Ignite Modification Date:
2026-02-24 @ 12:48 PM
Study NCT ID:
NCT01935102
Status:
COMPLETED
Last Update Posted:
2014-12-02
First Post:
2013-08-26
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Polymorphism Interaction to Predict Bevacizumab Efficacy
Sponsor:
Organization:
Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D001943', 'term': 'Breast Neoplasms'}], 'ancestors': [{'id': 'D009371', 'term': 'Neoplasms by Site'}, {'id': 'D009369', 'term': 'Neoplasms'}, {'id': 'D001941', 'term': 'Breast Diseases'}, {'id': 'D012871', 'term': 'Skin Diseases'}, {'id': 'D017437', 'term': 'Skin and Connective Tissue Diseases'}]}}, 'protocolSection': {'designModule': {'bioSpec': {'retention': 'SAMPLES_WITH_DNA', 'description': 'whole blood'}, 'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'RETROSPECTIVE', 'observationalModel': 'COHORT'}, 'enrollmentInfo': {'type': 'ACTUAL', 'count': 169}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'COMPLETED', 'startDateStruct': {'date': '2012-12'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2014-12', 'completionDateStruct': {'date': '2014-12', 'type': 'ACTUAL'}, 'lastUpdateSubmitDate': '2014-12-01', 'studyFirstSubmitDate': '2013-08-26', 'studyFirstSubmitQcDate': '2013-08-29', 'lastUpdatePostDateStruct': {'date': '2014-12-02', 'type': 'ESTIMATED'}, 'studyFirstPostDateStruct': {'date': '2013-09-04', 'type': 'ESTIMATED'}, 'primaryCompletionDateStruct': {'date': '2013-12', 'type': 'ACTUAL'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'progression-free survival', 'timeFrame': '24 months', 'description': 'progression-free survival in an unselected population of metastatic breast cancer patients treated with bevacizumab combined with first-line paclitaxel assessed through the multifactor dimensionality reduction methodology'}], 'secondaryOutcomes': [{'measure': 'Hormonal-receptor status', 'timeFrame': '24 months'}]}, 'oversightModule': {'oversightHasDmc': True}, 'conditionsModule': {'keywords': ['metastatic breast cancer', 'bevacizumab', 'single nucleotide polymorphism', 'VEGF-A', 'VEGFR-2', 'IL-8'], 'conditions': ['Metastatic Breast Cancer']}, 'referencesModule': {'references': [{'pmid': '18160686', 'type': 'BACKGROUND', 'citation': 'Miller K, Wang M, Gralow J, Dickler M, Cobleigh M, Perez EA, Shenkier T, Cella D, Davidson NE. Paclitaxel plus bevacizumab versus paclitaxel alone for metastatic breast cancer. N Engl J Med. 2007 Dec 27;357(26):2666-76. doi: 10.1056/NEJMoa072113.'}, {'pmid': '20498403', 'type': 'BACKGROUND', 'citation': 'Miles DW, Chan A, Dirix LY, Cortes J, Pivot X, Tomczak P, Delozier T, Sohn JH, Provencher L, Puglisi F, Harbeck N, Steger GG, Schneeweiss A, Wardley AM, Chlistalla A, Romieu G. Phase III study of bevacizumab plus docetaxel compared with placebo plus docetaxel for the first-line treatment of human epidermal growth factor receptor 2-negative metastatic breast cancer. J Clin Oncol. 2010 Jul 10;28(20):3239-47. doi: 10.1200/JCO.2008.21.6457. Epub 2010 May 24.'}, {'pmid': '18824714', 'type': 'BACKGROUND', 'citation': 'Schneider BP, Wang M, Radovich M, Sledge GW, Badve S, Thor A, Flockhart DA, Hancock B, Davidson N, Gralow J, Dickler M, Perez EA, Cobleigh M, Shenkier T, Edgerton S, Miller KD; ECOG 2100. 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. J Clin Oncol. 2008 Oct 1;26(28):4672-8. doi: 10.1200/JCO.2008.16.1612.'}, {'pmid': '21048041', 'type': 'BACKGROUND', 'citation': 'Pander J, Wessels JAM, Gelderblom H, van der Straaten T, Punt CJA, Guchelaar HJ. Pharmacogenetic interaction analysis for the efficacy of systemic treatment in metastatic colorectal cancer. Ann Oncol. 2011 May;22(5):1147-1153. doi: 10.1093/annonc/mdq572. Epub 2010 Nov 3.'}, {'pmid': '25521357', 'type': 'DERIVED', 'citation': 'Allegrini G, Coltelli L, Orlandi P, Fontana A, Camerini A, Ferro A, Cazzaniga M, Casadei V, Lucchesi S, Bona E, Di Lieto M, Pazzagli I, Villa F, Amoroso D, Scalese M, Arrighi G, Molinaro S, Fioravanti A, Finale C, Triolo R, Di Desidero T, Donati S, Marcucci L, Goletti O, Del Re M, Salvadori B, Ferrarini I, Danesi R, Falcone A, Bocci G. Pharmacogenetic interaction analysis of VEGFR-2 and IL-8 polymorphisms in advanced breast cancer patients treated with paclitaxel and bevacizumab. Pharmacogenomics. 2014 Dec;15(16):1985-99. doi: 10.2217/pgs.14.140.'}]}, 'descriptionModule': {'briefSummary': 'Although many attempts have been done to identify vascular endothelial growth factor-A (VEGF-A) single nucleotide polymorphisms (SNPs) correlated with bevacizumab response, in advanced cancer patients, the results are still inconclusive.\n\nWe will conduct a pharmacogenetic study to assess, in a population of metastatic breast cancer (MBC) patients, the possible predictive role of VEGF-A, VEGF receptor-2 (VEGFR-2), interleukin-8 (IL-8), hypoxia inducible factor-1α (HIF-1α), hypoxia inducible factor-2α (HIF-2α) and thrombospondin-1 (TSP-1) SNPs for bevacizumab response when combined with first-line paclitaxel and for progression free survival (PFS). Analyses will be performed on germline DNA obtained from blood samples and SNPs will be investigated by real-time polymerase chain reaction (PCR) technique. The multifactor dimensionality reduction (MDR) methodology will be applied to investigate the interaction between SNPs.', 'detailedDescription': "Metastatic breast cancer (MBC) patients from eight Italian divisions of Medical Oncology, with histologically confirmed HER2-negative MBC, treated with a first-line therapy including bevacizumab 10 mg/m2 i.v. on days 1 and 15 combined with first-line paclitaxel 90 mg/m2 i.v. on days 1, 8 and 15, every 4 weeks, will be enrolled for the present pharmacogenetic study. MBC patients treated with a first-line chemotherapy including paclitaxel without bevacizumab will be also enrolled as control group.\n\nSites of metastatic disease will be radiologically re-evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST) criteria 1.1, in patients with measurable disease. In patients without measurable lesions, progression of disease will be defined when new lesions appeared or when existing lesions evolved. Likewise, in the case of non measurable lesions, deterioration of clinical condition not due to treatment toxicity, will be defined as progression of disease.\n\nProgression-free survival (PFS) will be defined as the period of time from the beginning of the treatment to the first observation of disease progression as above described, or death from any cause. All patients will be assessed for response, PFS and overall survival. Each patient entering the study will sign the informed consent. The protocol has been approved by ethic committee of Azienda Ospedaliera-Universitaria Pisana, Pisa, Italy, (CESM 3077/2010).\n\nGenotyping analyses Blood samples (3 ml) will be collected in ethylenediaminetetraacetic acid (EDTA) tubes and stored at -80°C. Genes and polymorphisms involved in the angiogenesis pathway and already suggested as predictors of bevacizumab response, will be chosen for the present analyses. Germline DNA extraction will be performed using QIAamp DNA Blood Mini Kit (Qiagen, Valencia, California, USA). Allelic discrimination of genes will be performed using an ABI PRISM 7900 SDS instrument (Applied Biosystems, Carlsbad, California, USA) and with validated TaqMan® SNP genotyping assays (Applied Biosystems). PCR reactions will be carried out according to the manufacturer's protocol. Genotyping will be not performed until an adequate number of events (\\>80% on study population) will be reported in terms of PFS.\n\nStatistical analysis The first aim of this retrospective analysis will be to evaluate the possible role of these investigated gene polymorphisms to predict the bevacizumab response in terms of PFS. The secondary end-points will be the correlations with overall survival (OS) and response rate. All polymorphisms will be analyzed for deviation from the Hardy-Weinberg Equilibrium (HWE) by means of comparison between observed allelic distributions with those expected from the HWE by on χ2 test. Any correlation between gene polymorphisms and response rate will be analyzed by the two-sided Fisher's Exact Test. The association between each individual polymorphism and the most relevant clinical-pathological characteristics with PFS will be tested using a Cox proportional hazards model. The Multifactor Dimensionality Reduction (MDR) methodology will be applied (using version 2.0 beta 6 of MDR software available on http://sourceforge.net/projects/mdr/) to investigate the role of an interaction between gene polymorphisms in identifying biomarkers of paclitaxel plus bevacizumab response.\n\nThe genotype combination with the highest PFS benefit correlated with an OS improvement will be chosen for further analyses. The difference in PFS between favourable genetic profiles and the unfavourable genetic profiles will be assessed with the log-rank test and the Kaplan-Meier method to evaluate survival curves. A Cox proportional hazards model, with the possible genetic profiles and the clinical and pathological patient characteristics individually correlated with the PFS, will be used to calculate the adjusted hazards ratio (HR) and the 95% confidence interval (95% CI). A P value of \\<0.05 will be accepted as statistically significant. The Kaplan-Meier and Cox proportional hazards analyses will be performed using the SPSS version 17.0 (SPSS, Chicago, IL)."}, 'eligibilityModule': {'sex': 'FEMALE', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'maximumAge': '90 Years', 'minimumAge': '18 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'metastatic breast cancer patients from eight Italian divisions of Medical Oncology', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* diagnosis histologically confirmed of metastatic breast cancer\n* age (from 18 to 90 years)\n* Eastern Cooperative Oncology Group (ECOG) performance status (0 or 1-2)\n* hormonal-receptor status (positive or negative)\n* previous adjuvant chemotherapy (none, anthracycline or anthracycline plus taxane)\n* previous hormonal therapy (adjuvant or metastatic)disease-free interval from the first diagnosis of breast cancer (≤ or \\>12 months)\n* extent of disease (≤ or \\>3 sites)\n* location of disease (viscera or bone)\n* disease evaluation (measurable or non-measurable)and bevacizumab maintenance (yes or no).\n\nExclusion Criteria:\n\n* Patients with human epidermal growth factor receptor type 2 (HER2)-positive'}, 'identificationModule': {'nctId': 'NCT01935102', 'acronym': 'BEVAGENE', 'briefTitle': 'Polymorphism Interaction to Predict Bevacizumab Efficacy', 'organization': {'class': 'OTHER', 'fullName': 'University of Pisa'}, 'officialTitle': 'Polymorphism Interaction to Predict Bevacizumab Efficacy in Advanced Breast Cancer Patients: an Exploratory Retrospective Analysis', 'orgStudyIdInfo': {'id': 'CESM3077/2010'}, 'secondaryIdInfos': [{'id': 'AIRC-IG9164', 'type': 'OTHER_GRANT', 'domain': 'AIRC-IG9164'}]}, 'armsInterventionsModule': {'armGroups': [{'label': 'Chemotherapy', 'description': 'MBC patients treated with a first-line chemotherapy including paclitaxel without bevacizumab'}, {'label': 'bevacizumab+chemotherapy', 'description': 'histologically confirmed HER2-negative MBC, treated with a first-line therapy including bevacizumab 10 mg/m2 i.v. on days 1 and 15 combined with first-line paclitaxel 90 mg/m2 i.v. on days 1, 8 and 15, every 4 weeks'}]}, 'contactsLocationsModule': {'locations': [{'zip': '56125', 'city': 'Pisa', 'state': 'I Am Not in the U.S. Or Canada', 'country': 'Italy', 'facility': 'Department of Clinical and Experimental Medicine, University of Pisa', 'geoPoint': {'lat': 43.70853, 'lon': 10.4036}}], 'overallOfficials': [{'name': 'Guido Bocci, MD, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'University of Pisa'}]}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'University of Pisa', 'class': 'OTHER'}, 'responsibleParty': {'type': 'PRINCIPAL_INVESTIGATOR', 'investigatorTitle': 'Assistant Professor', 'investigatorFullName': 'Guido Bocci', 'investigatorAffiliation': 'University of Pisa'}}}}