Observational studyAnnals of hematology2025
Evaluation of reference sample type for somatic variant calling in myeloid cancers.
Observational study in Annals of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05695638 (Proseq Cancer), which is not on this map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Proseq Cancer: A Prospective Study of Comprehensive Genomic Profiling in Patients With Incurable Cancer in Search for Targeted Treatment
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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