Transcript isoform diversity defines molecular subtypes and prognosis in acute myeloid leukemia through long-read sequencing

Acute myeloid leukemia (AML) is a genetically complex and clinically heterogeneous hematopoietic malignancy. This study employs long-read transcriptome analysis using oxford nanopore technologies sequencing on 60 primary AML bone marrow samples. This approach delivers comprehensive isoform-level resolution of splicing abnormalities and overcomes limitations of short-read sequencing. We detect extensive AML-specific splicing anomalies and identify 119,278 previously unannotated transcript isoforms. Of these, 80,294 (67.31%) contain complete open reading frames, with 9,812 (12.22%) validated using liquid chromatography-tandem mass spectrometry. Quantitative analysis in 175 RNA sequencing samples enables non-negative matrix factorization clustering, defining distinct molecular subtypes. These isoform-defined subtypes exhibit strong correlations with patient prognosis, indicating their potential as biomarkers for clinical classification. The findings highlight alternative splicing as a major contributor to AML molecular heterogeneity and provide a valuable foundation for advancing precision medicine and developing innovative therapeutic strategies targeting splicing abnormalities in AML.

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Publication Details

Journal
Cell Reports
Published
2025-09-01
DOI
https://doi.org/10.1016/j.celrep.2025.116216
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Transcript isoform diversity defines molecular subtypes and prognosis in acute myeloid leukemia through long-read sequencing

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Acute Myeloid Leukemia Research
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Transcript isoform diversity defines molecular subtypes and prognosis in acute myeloid leukemia through long-read sequencing

Hai Fang, Fangying Jiang, Shuting Yu, Jincan Li, Jinzeng Wang, Tong Yin, Yuting Dai, Shengyue Wang, Xiao-guang Shi, Shuai Wang, Junmin Li, Yao Dai, Ruihong Zhang, Hongming Zhu
article en

Abstract

Acute myeloid leukemia (AML) is a genetically complex and clinically heterogeneous hematopoietic malignancy. This study employs long-read transcriptome analysis using oxford nanopore technologies sequencing on 60 primary AML bone marrow samples. This approach delivers comprehensive isoform-level resolution of splicing abnormalities and overcomes limitations of short-read sequencing. We detect extensive AML-specific splicing anomalies and identify 119,278 previously unannotated transcript isoforms. Of these, 80,294 (67.31%) contain complete open reading frames, with 9,812 (12.22%) validated using liquid chromatography-tandem mass spectrometry. Quantitative analysis in 175 RNA sequencing samples enables non-negative matrix factorization clustering, defining distinct molecular subtypes. These isoform-defined subtypes exhibit strong correlations with patient prognosis, indicating their potential as biomarkers for clinical classification. The findings highlight alternative splicing as a major contributor to AML molecular heterogeneity and provide a valuable foundation for advancing precision medicine and developing innovative therapeutic strategies targeting splicing abnormalities in AML.

Cell ReportsVol. 44(9)
Ruijin Hospital (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 70%
Acute Myeloid Leukemia Research
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