Importance of Pre-Analytical Steps in Breast Cancer Treatment Analysis
Author Information
Author(s): Patricia de Cremoux, Fabien Valet, David Gentien, Jacqueline Lehmann-Che, Véronique Scott, Carine Tran-Perennou, Catherine Barbaroux, Nicolas Servant, Sophie Vacher, Brigitte Sigal-Zafrani, Marie-Christine Mathieu, Philippe Bertheau, Jean-Marc Guinebretière, Bernard Asselain, Michel Marty, Frédérique Spyratos
Primary Institution: Institut Curie, Paris, France
Hypothesis
The study aims to establish the feasibility and reliability of high throughput RNA analysis in a prospective trial of neoadjuvant chemotherapy in breast cancer patients.
Conclusion
Strict quality criteria for RNA integrity assessment and well calibrated RT-qPCR allow multicentre analysis of gene transcripts with high accuracy in clinical contexts.
Supporting Evidence
- 290 biopsies were eligible for total RNA extraction after excluding samples with insufficient tumor cells.
- 78% of samples were suitable for transcriptome analysis and 82% for RT-qPCR.
- Clustering analysis revealed relevant breast cancer phenotypes.
Takeaway
This study shows that taking good care of the samples before testing them helps doctors understand breast cancer better and make better treatment choices.
Methodology
RNA from initial biopsies of 327 patients was analyzed using microarray and RT-qPCR techniques across four independent centers.
Potential Biases
Variability in RNA quality and handling across different centers may introduce bias in the results.
Limitations
The study faced challenges with RNA quality and the potential 'centre effect' due to different sampling or extraction methods.
Participant Demographics
Patients with inoperable breast cancer, treated with neoadjuvant chemotherapy.
Digital Object Identifier (DOI)
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