Abstract

Abstract While next-generation sequencing (NGS) has transformed our ability to characterize the genome, it is limited in detection of rare mutations due to a high error rate of ~0.5-2.0%. We have developed an error correction pipeline and previously demonstrated that our process is capable of detecting variants as rare as 1:10,000 or 0.0001 VAF. Using our error correction pipeline, we have recently identified leukemia-related hematopoietic clones in a cohort of young healthy bone marrow donors (median age 26). In the context of allogeneic hematopoietic stem cell transplantation (HSCT), we sought to determine whether these detected leukemia-related clones of donor origin selectively engraft and correlate with transplant-related morbidities in recipients post-HSCT. Genomic profiles of pre-transplant donor samples were compared to the genomic profiles of corresponding recipient samples post-HSCT. Results show that two-thirds of the healthy donor samples harbor deleterious hematopoietic clones and that these specific clones are significantly more likely to engraft compared to benign clones. We also found that 75% of recipients who had at least one persistently engrafted, deleterious mutation developed chronic GvHD versus 50% of those without persistently engrafted clones with deleterious mutations. In comparing the results from our error correction pipeline and conventional short tandem repeat (STR) testing for donor-patient chimerism, we showed that our method provides a highly sensitive approach to both screening for donors without deleterious clones and monitoring residual disease in recipients following hematopoietic stem cell transplants (HSCT). Furthermore, the clinical implications of these results warrant a large-scale study using our error correction pipeline to detect rare variants in HSCT. Citation Format: Wing Hing Wong, Andrew Young, Todd Druley. Detection of rare, deleterious clonal mutations during unrelated allogeneic hematopoietic stem cell transplants using an error correction pipeline for NGS [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr LB-052.

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