Genotyping data of routinely processed matched primary/metastatic tumor samples

Area of Science:

• Oncology
• Genetics
• Pathology

Background:

• Genotypic and phenotypic tumor comparisons are crucial for understanding disease progression and guiding treatment strategies.
• Next-generation sequencing (NGS) genotyping is a key method, with variant filtering and evaluation being essential for accurate comparisons.
• Formalin-fixed paraffin-embedded (FFPE) tissues are commonly used but present unique challenges for molecular analysis.

Purpose of the Study:

• To present genotype data and methodologies for comparing matched primary and metastatic colorectal tumors.
• To describe the process of obtaining genotype data from FFPE colorectal tumor samples.
• To highlight key considerations and provide datasets for FFPE tumor genotyping.

Main Methods:

• Utilized panel NGS (Ion Torrent) for genotyping of FFPE colorectal tumor samples.
• Developed and applied a stringent variant filtering algorithm tailored for FFPE tissues and matched tumor samples.
• Described the workflow for processing FFPE tissues for robust genotype analysis.

Main Results:

• Provided genotype datasets for genotype/phenotype comparisons of matched primary/metastatic colorectal tumors.
• Detailed the specific challenges and solutions encountered during FFPE tumor processing and NGS genotyping.
• Established a reliable method for genotype analysis in FFPE samples, crucial for matched tumor comparisons.

Conclusions:

• The presented datasets and methods enhance understanding of FFPE tumor genotyping peculiarities.
• The methodology is valuable for research investigating tumor evolution through pooled analyses of primary/metastatic tumors.
• This work supports the application of tumor NGS genotyping in both research and clinical oncology diagnostics.