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Updated: Nov 23, 2025

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
Published on: October 18, 2013
Chromosomal Junction Detection from Whole-Genome Sequencing on Formalin-Fixed, Paraffin-Embedded Tumors
Stephen Murphy1, James Smadbeck1, Bruce Eckloff2
1Biomarker Discovery Program, Center of Individualized Medicine, Mayo Clinic, Rochester, Minnesota.
Abstract:
DNA junctions (DNAJs) frequently impact clinically relevant genes in tumors and are important for diagnostic and therapeutic purposes. Although routinely screened through fluorescence in situ hybridization assays, such testing only allows the interrogation of single-gene regions or known fusion partners. Comprehensive assessment of DNAJs present across the entire genome can only be determined from whole-genome sequencing. Structural variance analysis from whole-genome paired-end sequencing data is, however, frequently restricted to copy number changes without DNAJ detection. Through optimized whole-genome sequencing and specialized bioinformatics algorithms, complete structural variance analysis is reported, including DNAJs, from formalin-fixed DNA. Selective library assembly from larger fragments (>500 bp) and economical sequencing depths (300 to 400 million reads) provide representative genomic coverage profiles and increased allelic coverage to levels compatible with DNAJ calling (40× to 60×). Although consistently fragmented, more recently formalin-fixed, specimens (<2 years' storage) revealed consistent populations of larger DNA fragments. Optimized bioinformatics efficiently detected >90% of DNAJs in two prostate tumors (approximately 60% tumor) previously analyzed by mate-pair sequencing on fresh frozen tissue, with evidence of at least one spanning-read in 99% of DNAJs. Rigorous masking with data from unrelated formalin-fixed tissue progressively eliminated many false-positive DNAJs, without loss of true positives, resulting in low numbers of false-positive passing current filters. This methodology enables more comprehensive clinical genomics testing on formalin-fixed clinical specimens.
Insights
This study presents a new method for detecting DNA junctions (DNAJs) in tumors using whole-genome sequencing of formalin-fixed DNA. This approach enables comprehensive genomic analysis for improved cancer diagnostics and therapeutics.
Area of Science:
- Genomics
- Molecular Biology
- Cancer Research
Background:
- DNA junctions (DNAJs) are crucial in cancer, affecting clinically relevant genes.
- Current diagnostic methods like FISH are limited to single genes or known fusions.
- Whole-genome sequencing (WGS) is needed for comprehensive DNAJ assessment but often misses them.
Purpose of the Study:
- To develop and validate a method for comprehensive DNAJ detection from formalin-fixed DNA using WGS.
- To improve structural variant analysis for clinical genomics.
Main Methods:
- Optimized WGS protocol focusing on larger DNA fragments (>500 bp) and economical sequencing depths (300-400 million reads).
- Specialized bioinformatics algorithms for structural variant analysis, including DNAJ detection.
- Rigorous data masking to eliminate false positives from formalin-fixed tissues.
Main Results:
- The method achieved 40× to 60× allelic coverage, suitable for DNAJ calling.
- Over 90% of DNAJs were detected in prostate tumors, with >99% having spanning reads.
- False-positive rates were significantly reduced through optimized bioinformatics and masking.
Conclusions:
- This optimized WGS approach enables comprehensive DNAJ detection in formalin-fixed clinical specimens.
- The methodology enhances clinical genomics testing capabilities for cancer diagnosis and treatment.

