Given the vast phenotypic and genetic heterogeneity of acute and chronic myeloid malignancies, hematologists have eagerly awaited the introduction of next-generation sequencing (NGS) into the routine diagnostic armamentarium to enable a more differentiated disease classification, risk stratification, and improved therapeutic decisions. At present, an increasing number of hematologic laboratories are in the process of integrating NGS procedures into the diagnostic algorithms of patients with acute myeloid leukemia (AML), myelodysplastic syndromes (MDS), and myeloproliferative neoplasms (MPNs). Inevitably accompanying such developments, physicians and molecular biologists are facing unexpected challenges regarding the interpretation and implementation of molecular genetic results derived from NGS in myeloid malignancies. This article summarizes typical challenges that may arise in the context of NGS-based analyses at diagnosis and during follow-up of myeloid malignancies.Table 1Challenges accompanying the introduction of massive parallel sequencing in clinical routine diagnostics in hemato-oncologyChallengeBackgroundCurrent and future approachDiscrimination of leukemia-related mutations from polymorphisms or passenger mutationsDriver mutations expected to occur at higher allele frequency in patient samples than passenger mutations; driver mutations more likely to have an impact on protein function than polymorphisms or passenger mutationsOptimization of cancer-specific databases including reporting of rare physiological gene variantsImplementation of novel bioinformatic algorithms based on prediction of functional impactQuantitative and dynamic VAF monitoring (separately and together with other mutations) at follow-upDiscrimination of somatic leukemia-related mutations from CHIPCHIP is presented in ~10% of individuals aged 70 to 80 and in up to 20% in the age group > 80 yearsQuantitative and dynamic VAF monitoring (separately and together with other mutations) at follow-upClarifying the significance of CHIP in the context of myeloid malignanciesDiscrimination of leukemia-related somatic mutations from pathogenic germline alterationsChallenge to differentiate acquired somatic mutations from germline pathogenic variants at diagnosisMutation detection in germline control samples (e.g., skin fibroblasts, saliva) in mutations such as in RUNX1, CEBPAThorough medical family history followed by molecular genetic tests in relatives if necessaryHigh and stable VAF (e.g., 40–50%) at follow-up despite clinical response to treatment may be indicative for germline alterationDiscrimination of true genetic alterations from PCR, sequencing and post-sequencing artifactsMany artefacts are known to arise during NGS library preparation, sequencing and data analysisError correction using molecular identifiers that individually label original input DNA moleculesRefinement of error-correction computational methods in post-sequencing NGS data analysisConfirmation using Sanger sequencingLimited sensitivity of NGS for minimal residual diseas...
This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.