Is there a correlation between HER2 gene amplification level and response to neoadjuvant treatment with trastuzumab and chemotherapy in HER2-positive breast cancer?
Silvia Antolin NovoaLucía García-CaballeroCristina ReboredoAurea MolinaJoaquín MosqueraÁngel Vázquez-BoqueteRosalía GallegoMari Paz SantiagoÁngel ConchaMaria Eva Perez-LopezLourdes Calvo MartinezTomás García-CaballeroPublished in: Virchows Archiv : an international journal of pathology (2021)
There are contradictory data regarding the correlation between HER2 amplification level determined by in situ hybridization and evolution after treatment with anti-HER2 therapies. The aim of this study was to correlate quantitative results of FISH (ratio HER2/CEP17 and number of HER2 signals/nucleus) with pathological response achieved after neoadjuvant treatment with trastuzumab and chemotherapy. For this purpose, we analysed 100 consecutive HER2-positive cases of breast carcinoma treated with neoadjuvant therapy. HER2 amplification determined by FISH was found in 92 of the 100 cases studied. pCR was obtained in 58% of the patients whose tumours presented amplification. In contrast, no pCR was obtained in the 8 patients with non-amplified tumours. A significant direct correlation between HER2 high amplification (HER2/CEP17 ratio > 5 or HER2 signals/nucleus > 10) and pCR was found. In conclusion, HER2 amplification levels are clinically relevant because they provide oncologists with valuable information on the possibilities of achieving pCR after neoadjuvant treatment.
Keyphrases
- locally advanced
- nucleic acid
- rectal cancer
- lymph node
- positive breast cancer
- squamous cell carcinoma
- newly diagnosed
- magnetic resonance
- healthcare
- gene expression
- magnetic resonance imaging
- computed tomography
- radiation therapy
- epidermal growth factor receptor
- end stage renal disease
- electronic health record
- high resolution
- ejection fraction
- stem cells
- label free
- genome wide
- combination therapy
- patient reported outcomes
- transcription factor
- replacement therapy
- social media
- real time pcr
- smoking cessation
- deep learning