학술논문

A four gene signature predicts benefit from anthracyclines: evidence from the BR9601 and MA.5 clinical trials
Document Type
article
Source
Oncotarget. 6(31)
Subject
Breast Cancer
Clinical Trials and Supportive Activities
Cancer
Clinical Research
Genetics
4.2 Evaluation of markers and technologies
4.1 Discovery and preclinical testing of markers and technologies
Detection
screening and diagnosis
Anthracyclines
Antibiotics
Antineoplastic
Antineoplastic Combined Chemotherapy Protocols
Biomarkers
Tumor
Breast Neoplasms
Chromosomal Instability
Female
Follow-Up Studies
Gene Expression Profiling
Gene Expression Regulation
Neoplastic
Humans
Middle Aged
Neoplasm Grading
Neoplasm Recurrence
Local
Neoplasm Staging
Prognosis
Proportional Hazards Models
RNA
Messenger
Real-Time Polymerase Chain Reaction
Reverse Transcriptase Polymerase Chain Reaction
Signal Transduction
Survival Rate
breast cancer
anthracycline
chromosome instability
predictive biomarker
Oncology and Carcinogenesis
Language
Abstract
Chromosome instability (CIN) in solid tumours results in multiple numerical and structural chromosomal aberrations and is associated with poor prognosis in multiple tumour types. Recent evidence demonstrated CEP17 duplication, a CIN marker, is a predictive marker of anthracycline benefit. An analysis of the BR9601 and MA.5 clinical trials was performed to test the role of existing CIN gene expression signatures as predictive markers of anthracycline sensitivity in breast cancer. Univariate analysis demonstrated, high CIN25 expression score was associated with improved distant relapse free survival (DRFS) (HR: 0.74, 95% CI 0.54-0.99, p = 0.046). High tumour CIN70 and CIN25 scores were associated with aggressive clinicopathological phenotype and increased sensitivity to anthracycline therapy compared to low CIN scores. However, in a prospectively planned multivariate analysis only pathological grade, nodal status and tumour size were significant predictors of outcome for CIN25/CIN70. A limited gene signature was generated, patients with low tumour CIN4 scores benefited from anthracycline treatment significantly more than those with high CIN4 scores (HR 0.37, 95% CI 0.20-0.56, p = 0.001). In multivariate analyses the treatment by marker interaction for CIN4/anthracyclines demonstrated hazard ratio of 0.35 (95% CI 0.15-0.80, p = 0.012) for DRFS. This data shows CIN4 is independent predictor of anthracycline benefit for DRFS in breast cancer.