High prevalence of chromosomal rearrangements and LINE retrotranspositions detected in formalin-fixed paraffin-embedded colorectal cancer tissue

Carmen Rubio-Alarcón, Ellen Stelloo, Daan C L Vessies, Iris van 't Erve, Nienke J Mekkes, Joost Swennenhuis, Soufyan Lakbir, Elisabeth J van Bree, Marianne Tijssen, Pien Delis-van Diemen, Mirthe Lanfermeijer, Theodora Linders, Daan van den Broek, Cornelis J A Punt, Jaap Heringa, Gerrit A Meijer, Sanne Abeln, Harma Feitsma, Remond J A Fijneman*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Structural variants (SVs) caused by chromosomal rearrangements in common fragile sites or long interspersed nuclear element (LINE) retrotranspositions are highly prevalent in colorectal cancer. However, methodology for the targeted detection of these SVs is lacking. This article reports the use of formalin-fixed, paraffin-embedded targeted-locus capture (FFPE-TLC) sequencing as a novel technology for the targeted detection of tumor-specific SVs. Analysis of 29 FFPE colorectal tumor samples and 8 matched normal samples revealed tumor-specific SVs in 24 patients (83%), with a median of 2 SVs per patient (range, 1 to 21). A total of 104 SVs were found in the common fragile site–associated genes MACROD2, PRKN, FHIT, and WWOX in 18 patients (62%), and 39 SVs caused by three LINE transposable elements were found in 15 patients (52%). Tumor specificity of SVs was independently verified by droplet digital PCR of tumor tissue DNA, and their applicability as plasma circulating tumor DNA biomarkers was demonstrated. FFPE-TLC sequencing enabled the detection of tumor-specific SVs caused by chromosomal rearrangements and LINE retrotranspositions in FFPE tissue. Therefore, FFPE-TLC sequencing facilitates the investigation of the biological and clinical effects of SVs using FFPE material from (retrospective) cohorts of cancer patients and has potential clinical applicability in the detection of SV biomarkers in the routine molecular diagnostics setting.

Original languageEnglish
Pages (from-to)1065-1080
Number of pages16
JournalJournal of Molecular Diagnostics
Volume26
Issue number12
Early online date25 Sept 2024
DOIs
Publication statusPublished - Dec 2024

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