Evaluation of reference sample type for somatic variant calling in myeloid cancers

High-throughput sequencing is transforming cancer diagnostics, research, and clinical decision-making, yet accurate identification of disease-driving somatic variants often requires comparing tumor and normal DNA. This study aimed to identify the optimal normal reference sample for whole exome sequencing (WES) in myeloid-derived cancers. T-cells, skin biopsies, saliva, and a tumor-only analysis were evaluated by comparing variant calls from tumor-reference pair to those from tumor-fibroblast analyses. T-cells demonstrated the highest sensitivity (0.91-1.00) and lowest false positive rate, establishing them as a reliable reference option. Skin biopsies and saliva yielded inconsistent results, likely due to leucocytic contamination. While tumor-only analysis offered high sensitivity, it generated numerous false positives; however, a selective filtration strategy provides a feasible solution by omitting the need for a normal reference sample. These findings suggest T-cells are the optimal balance of accuracy and practicality for identifying somatic variants in myeloid cancers, while tumor-only analysis presents a viable alternative with careful filtering. This improved workflow supports efficient and reliable genomic profiling for personalized treatment decisions. ClinicalTrials.gov, TRN: NCT05695638, Registration date: 10 January 2023.

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Publication Details

Journal
Annals of Hematology
Published
2025-10-22
DOI
https://doi.org/10.1007/s00277-025-06699-y
Primary Topic
Acute Myeloid Leukemia Research
Type
article
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article

Evaluation of reference sample type for somatic variant calling in myeloid cancers

Rasmus Froberg Brøndum, Karen Dybkær, Daniel Tuyet Kristensen, Helle Høholt et al.
Annals of Hematology
Acute Myeloid Leukemia Research
article

Evaluation of reference sample type for somatic variant calling in myeloid cancers

Rasmus Froberg Brøndum, Karen Dybkær, Daniel Tuyet Kristensen, Helle Høholt, Anne Krogh Nøhr, Issa Ismail Issa, Marianne Tang Severinsen, Mads Sønderkær, Hanne Due, Jakob Madsen, Lisa‐Maj Christensen, Maja Zimmer Jakobsen, M. Jørgensen, Emil-August Torp
article en

Abstract

High-throughput sequencing is transforming cancer diagnostics, research, and clinical decision-making, yet accurate identification of disease-driving somatic variants often requires comparing tumor and normal DNA. This study aimed to identify the optimal normal reference sample for whole exome sequencing (WES) in myeloid-derived cancers. T-cells, skin biopsies, saliva, and a tumor-only analysis were evaluated by comparing variant calls from tumor-reference pair to those from tumor-fibroblast analyses. T-cells demonstrated the highest sensitivity (0.91-1.00) and lowest false positive rate, establishing them as a reliable reference option. Skin biopsies and saliva yielded inconsistent results, likely due to leucocytic contamination. While tumor-only analysis offered high sensitivity, it generated numerous false positives; however, a selective filtration strategy provides a feasible solution by omitting the need for a normal reference sample. These findings suggest T-cells are the optimal balance of accuracy and practicality for identifying somatic variants in myeloid cancers, while tumor-only analysis presents a viable alternative with careful filtering. This improved workflow supports efficient and reliable genomic profiling for personalized treatment decisions. ClinicalTrials.gov, TRN: NCT05695638, Registration date: 10 January 2023.

Annals of HematologyVol. 104(11)
University of Copenhagen (DK), Aarhus University (DK), Aalborg University Hospital (DK), Aarhus University Hospital (DK), Copenhagen University Hospital (DK), Rigshospitalet (DK), Aalborg University (DK)
Openalex Percentile: Top 62%
Acute Myeloid Leukemia Research
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