Comparative genomic hybridization-based oncogenetic tree model for genetic classification of breast cancer.

Objective: To describe a genetic progression pathway in breast cancer by a maximum likelihood-based tree model representing the dependencies between chromosomal imbalances.

Study Design: One hundred six cases were studied by comparative genomic hybridization, followed by maximum likelihood estimation of an oncogenetic tree model.

Results: The tree model identified 3 clusters with correlated chromosomal imbalances.

Chromosomal genotype in breast cancer progression: comparison of primary and secondary manifestations.

The purpose of this study was to compare the chromosomal genotype between breast cancers with and without secondary manifestations and between primary tumors and their secondary manifestations. Eighty six breast cancers, twenty lymph node metastases, ten distant metastases and ten local recurrences were analyzed by comparative genomic hybridization. Tumors with local recurrences showed significant more frequent losses at 2q32 than the tumors without recurrences.