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Published on: June 8, 2020
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Statistical and Evolutionary Analysis of Sequenced DNA from Breast Cancer FFPE Specimens
Monika K Kurpas1, Paweł Kuś1, Roman Jaksik1
1Department of Systems Biology and Engineering, Silesian University of Technology, Gliwice, Poland.
Biorxiv : the Preprint Server for Biology
|November 19, 2025
Summary
This study demonstrates that valuable cancer genetic information can be extracted from formalin-fixed paraffin-embedded (FFPE) tumor samples using advanced bioinformatics. Despite FFPE artifacts, whole-exome sequencing reveals key insights into tumor evolution and metastasis.
Area of Science:
- Oncology
- Genetics
- Bioinformatics
Background:
- Formalin-fixed paraffin-embedded (FFPE) tissue blocks remain crucial for cancer genetic epidemiology, despite the availability of instant freezing.
- FFPE samples present challenges due to DNA artifacts that can affect variant calls in genetic analyses.
- Understanding the information obtainable from FFPE samples is vital for retrospective cancer research.
Purpose of the Study:
- To assess the utility of mid-depth whole-exome bulk DNA sequencing for extracting genetic information from FFPE breast tumor samples.
- To evaluate the effectiveness of bioinformatics tools in mitigating FFPE-related artifacts.
- To investigate the molecular evolution, clonal structure, and primary-metastasis relationships in breast cancer using FFPE data.
Main Methods:
- Collected 15 paired breast tumors (primary and lymph node metastases) of diverse molecular subtypes.
- Employed multiple bioinformatics tools to identify and remove FFPE-induced DNA variant artifacts.
- Performed whole-exome sequencing and analyzed data using commercial and in-house computational methods, including copy number and clonal structure analyses.
Main Results:
- Bioinformatics tools showed variable effectiveness in artifact removal, necessitating careful calibration.
- Copy number analysis revealed ploidy levels and a positive association between oncogene frequency and DNA copy number.
- Clonal structure analysis provided insights into early tumor expansion and the interdependence of primary tumors and lymph node metastases.
Conclusions:
- Significant molecular evolutionary features of tumor DNA can be successfully recovered from routine FFPE clinical samples.
- Advanced computational analysis can overcome FFPE data imperfections for valuable genetic insights.
- FFPE-based sequencing remains a viable approach for retrospective studies in cancer genetics and epidemiology.

