Transcriptomic Biomarker Analysis – Breast Cancer

Breast cancer is a heterogeneous disease that requires in-depth molecular characterization to tailor treatments to patient profiles. Gene expression analysis helps identify key biomarkers useful for diagnosis, tumor classification, and therapeutic guidance.

Genes Analyzed in Breast Cancer

Our panel targets genes involved in tumor progression and treatment response, including:

• ESR1 (Estrogen Receptor - ER) – Marker of hormone-dependent cancers

• PGR (Progesterone Receptor - PR) – Indicator of hormonal response

• HER2 (ERBB2) – Overexpression associated with specific targeted therapy

• BRCA1 & BRCA2 – Hereditary mutations influencing cancer predisposition

• Ki-67 – Cell proliferation marker for tumor prognosis

Applications & Benefits

• Patient stratification for personalized medicine

• Detection of molecular subtypes (Luminal A, Luminal B, HER2+, Triple-negative)

• Monitoring treatment efficacy for hormonal and targeted therapies

• Recurrence risk assessment through genomic signatures

Technologies Used

We employ cutting-edge methods for reliable and reproducible analysis:

• RT-qPCR and RNA-seq (NGS) for precise expression level assessment

• Nanostring and transcriptomic arrays for multiplexed gene analysis

• Validated genomic signatures (Oncotype DX, Mammaprint, PAM50) to predict risk and guide treatment decisions

Contact us at contact@genxmap.com for a customized analysis tailored to your clinical or research project!