Transcript isoform diversity defines molecular subtypes and prognosis in acute myeloid leukemia through long-read sequencing
Year: 2025
Type: article
Study design: Observational Study
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.
Source: Cell Reports
Authors: Xiaoguang Shi, Shuai Wang, Shuting Yu, Fangying Jiang, Jinzeng Wang, Yao Dai, Jincan Li, Ruihong Zhang, Tong Yin, Yuting Dai, Hai Fang, Junmin Li, Hongming Zhu, Shengyue Wang
Language: English
Subfield: Hematology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $5,620
Awards: G1143342083, G7086288779
OpenAlex ID: W4413942839
