Skip to content

Whole Exome Sequencing in Finding Causative Variants in Germline DNA Samples From Patients With Hypertension Receiving Bevacizumab for Breast Cancer

Exploratory Next Generation Sequencing to Identify Causative Variants for Bevacizumab-Induced Hypertension From Breast Cancer Study E5103 Germline DNA Samples

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02610413
Enrollment
354
Registered
2015-11-20
Start date
2014-03-25
Completion date
2100-01-01
Last updated
2026-03-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast Carcinoma

Brief summary

This research trial studies whole exome sequencing in finding causative variants in germline deoxyribonucleic acid (DNA) samples from patients with hypertension receiving bevacizumab for breast cancer. Studying samples of germline DNA in the laboratory from patients with hypertension receiving bevacizumab for breast cancer may help doctors learn about changes that occur in DNA and identify biomarkers related to hypertension.

Detailed description

PRIMARY OBJECTIVES: I. To identify, using next generation sequencing, rare variants of large effect size that impact the risk of hypertension in patients from the clinical trial Eastern Cooperative Oncology Group (ECOG)-5103 (E5103). OUTLINE: Previously collected germline DNA samples are analyzed via whole exome sequencing.

Interventions

OTHERLaboratory Biomarker Analysis

Correlative studies

Sponsors

National Cancer Institute (NCI)
Lead SponsorNIH

Study design

Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* European American patients with deoxyribonucleic acid (DNA) available and designated case or control * Patients who developed grade 3-4 bevacizumab-induced hypertension during their treatment with bevacizumab * Patients who did not develop hypertension following a full course of treatment with bevacizumab

Design outcomes

Primary

MeasureTime frameDescription
Identification of rare coding variants of large effect that predict the risk of bevacizumab-induced hypertensionBaselineBurden analysis will be used.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORBryan P Schneider

Eastern Cooperative Oncology Group

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 28, 2026