Dataset Information

Whole Exome Sequencing of Intermediate-Risk Acute Myeloid Leukemia without Recurrent Genetic Abnormalities Offers Deeper Insights into New Diagnostic Classifications.

ABSTRACT: Two new diagnostic classifications of acute myeloid leukemia (AML) were published in 2022 to update current knowledge on disease biology. In previous 2017-edition categories of AML with myelodysplasia-related changes, AML was not otherwise specified, but AML with mutated RUNX1 experienced profound changes. We performed whole exome sequencing on a cohort of 69 patients with cytogenetic intermediate-risk AML that belonged to these diagnostic categories to correlate their mutational pattern and copy-number alterations with their new diagnostic distribution. Our results show that 45% of patients changed their diagnostic category, being AML myelodysplasia-related the most enlarged, mainly due to a high frequency of myelodysplasia-related mutations (58% of patients). These showed a good correlation with multilineage dysplasia and/or myelodysplastic syndrome history, but at the same time, 21% of de novo patients without dysplasia also presented them. RUNX1 was the most frequently mutated gene, with a high co-occurrence rate with other myelodysplasia-related mutations. We found a high prevalence of copy-neutral loss of heterozygosity, frequently inducing a homozygous state in particular mutated genes. Mild differences in current classifications explain the diagnostic disparity in 10% of patients, claiming a forthcoming unified classification.

SUBMITTER: Guijarro F

PROVIDER: S-EPMC11354381 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature

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Whole Exome Sequencing of Intermediate-Risk Acute Myeloid Leukemia without Recurrent Genetic Abnormalities Offers Deeper Insights into New Diagnostic Classifications.

Guijarro Francesca F Castaño-Díez Sandra S Jiménez-Vicente Carlos C Garrote Marta M Álamo José Ramón JR Gómez-Hernando Marta M López-Oreja Irene I Morata Jordi J López-Guerra Mònica M López Cristina C Beà Sílvia S Costa Dolors D Colomer Dolors D Díaz-Beyá Marina M Rozman Maria M Esteve Jordi J

International journal of molecular sciences 20240808 16

Two new diagnostic classifications of acute myeloid leukemia (AML) were published in 2022 to update current knowledge on disease biology. In previous 2017-edition categories of AML with myelodysplasia-related changes, AML was not otherwise specified, but AML with mutated <i>RUNX1</i> experienced profound changes. We performed whole exome sequencing on a cohort of 69 patients with cytogenetic intermediate-risk AML that belonged to these diagnostic categories to correlate their mutational pattern ...[more]

PMID: 39201354

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Project description:Next-generation sequencing (NGS) has transformed molecular biology and contributed to many seminal insights into genomic regulation and function. Apart from whole-genome sequencing, an NGS workflow involves alignment of the sequencing reads to the genome of study, after which the resulting alignments can be used for downstream analyses. However, alignment is complicated by the repetitive sequences; many reads align to more than one genomic locus, with 15-30% of the genome not being uniquely mappable by short-read NGS. This problem is typically addressed by discarding reads that do not uniquely map to the genome, but this practice can lead to systematic distortion of the data. Previous studies that developed methods for handling ambiguously mapped reads were often of limited applicability or were computationally intensive, hindering their broader usage. In this work, we present SmartMap: an algorithm that augments industry-standard aligners to enable usage of ambiguously mapped reads by assigning weights to each alignment with Bayesian analysis of the read distribution and alignment quality. SmartMap is computationally efficient, utilizing far fewer weighting iterations than previously thought necessary to process alignments and, as such, analyzing more than a billion alignments of NGS reads in approximately one hour on a desktop PC. By applying SmartMap to peak-type NGS data, including MNase-seq, ChIP-seq, and ATAC-seq in three organisms, we can increase read depth by up to 53% and increase the mapped proportion of the genome by up to 18% compared to analyses utilizing only uniquely mapped reads. We further show that SmartMap enables the analysis of more than 140,000 repetitive elements that could not be analyzed by traditional ChIP-seq workflows, and we utilize this method to gain insight into the epigenetic regulation of different classes of repetitive elements. These data emphasize both the dangers of discarding ambiguously mapped reads and their power for driving biological discovery.

Project description:Study hypothesisExome sequencing can identify genetic causes of idiopathic recurrent pregnancy loss (RPL).Study findingWe identified compound heterozygous deleterious mutations affecting DYNC2H1 and ALOX15 in two out of four families with RPL. Both genes have a role in early development. Bioinformatics analysis of all genes with rare and putatively pathogenic mutations in miscarriages and couples showed enrichment in pathways relevant to pregnancy loss, including the complement and coagulation cascades pathways.What is known alreadyNext generation sequencing (NGS) is increasingly being used to identify known and novel gene mutations in children with developmental delay and in fetuses with ultrasound-detected anomalies. In contrast, NGS is rarely used to study pregnancy loss. Chromosome microarray analysis detects putatively causative DNA copy number variants (CNVs) in ∼2% of miscarriages and CNVs of unknown significance (predominantly parental in origin) in up to 40% of miscarriages. Therefore, a large number of miscarriages still have an unknown cause.Study design, samples/materials, methodsWhole exome sequencing (WES) was performed using Illumina HiSeq 2000 platform on seven euploid miscarriages from four families with RPL. Golden Helix SVS v8.1.5 was used for data assessment and inheritance analysis for deleterious DNA variants predicted to severely disrupt protein-coding genes by introducing a frameshift, loss of the stop codon, gain of the stop codon, changes in splicing or the initial codon. Webgestalt (http://bioinfo.vanderbilt.edu/webgestalt/) was used for pathway and disease association enrichment analysis of a gene pool containing putatively pathogenic variants in miscarriages and couples in comparison to control gene pools.Main results and the role of chanceCompound heterozygous mutations in DYNC2H1 and ALOX15 were identified in miscarriages from two families with RPL. DYNC2H1 is involved in cilia biogenesis and has been associated with fetal lethality in humans. ALOX15 is expressed in placenta and its dysregulation has been associated with inflammation, placental, dysfunction, abnormal oxidative stress response and angiogenesis. The pool of putatively pathogenic single nucleotide variants (SNVs) and small insertions and deletions (indels) detected in the miscarriages showed enrichment in 'complement and coagulation cascades pathway', and 'ciliary motility disorders'. We conclude that CNVs, individual SNVs and pool of deleterious gene mutations identified by exome sequencing could contribute to RPL.Limitations, reasons for cautionThe size of our sample cohort is small. The functional effect of candidate mutations should be evaluated to determine whether the mutations are causative.Wider implications of the findingsThis is the first study to assess whether SNVs may contribute to the pathogenesis of miscarriage. Furthermore, our findings suggest that collective effect of mutations in relevant biological pathways could be implicated in RPL.Study funding and competing interestsThe study was funded by Canadian Institutes of Health Research (grant MOP 106467) and Michael Smith Foundation of Health Research Career Scholar salary award to ERS.

Dataset Information

Whole Exome Sequencing of Intermediate-Risk Acute Myeloid Leukemia without Recurrent Genetic Abnormalities Offers Deeper Insights into New Diagnostic Classifications.

Publications

Whole Exome Sequencing of Intermediate-Risk Acute Myeloid Leukemia without Recurrent Genetic Abnormalities Offers Deeper Insights into New Diagnostic Classifications.

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