Evidence map›Paper›PMID 42329505›Full record

ArticleDiscover oncology2026

Genome-wide investigation of differentially expressed alternative splicing and RNA-binding protein genes association with AML drug resistance.

Yu-Mei Zhang, Xue-Yan Dong, Wei Zheng, Jie Xu, Zhen-Zhen Wang, Shu-Min Ding, Ying-Ying Wang, Jing-Yi Wang

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yu-Mei Zhang *Department of Hematology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Xue-Yan Dong *Department of Hematology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Wei ZhengDepartment of Hematology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Jie XuDepartment of Hematology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Zhen-Zhen WangDepartment of Hematology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Shu-Min DingDepartment of Hematology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Ying-Ying WangDepartment of Hematology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Jing-Yi WangDepartment of Hematology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, China. sdjnwjy@aliyun.com.

Funding

High-level Talents Project of Affiliated Hospital of Shandong University of Traditional Chinese Medicine No. rc0000002-41Medical and Health Technology Development Plan of Shandong Province No. 202003041150National Natural Science Foundation of China No. 82104609Natural Science Foundation of Shandong Province No. ZR2023LZY002
6 · The paper itself

Abstract

backgroundAcute myeloid leukemia (AML) is a hematologic malignancy with persistently poor outcomes. Despite advances in chemotherapy, targeted therapy, and hematopoietic stem cell transplantation, drug resistance and relapse remain major obstacles, with the global 5-year survival rate for adults with AML below 50%. The molecular mechanisms underlying relapse and drug resistance are not fully understood.

methodsBone marrow mononuclear cells were isolated from four patients with AML relapse (reAML), three patients with AML remission, and five healthy donors. RNA sequencing was performed, followed by differentially expressed genes (DEGs) analysis, overlapping analysis, weighted gene co-expression network analysis (WGCNA) and co-expression analysis, alternative splicing (AS) analysis and functional enrichment analysis.

resultsWe identified 593 upregulated and 999 downregulated genes specifically in reAML group compared with both AML remission and healthy groups. Notably, 33 RNA-binding protein (RBP) genes were consistently up-regulated and 30 down-regulated in reAML group. WGCNA and AS analyses revealed marked splicing alterations in reAML group, accompanied by multiple differential regulatory alternative splicing genes (RASGs) and events (RASEs).

conclusionsThis study provides a systematic landscape of RBP dysregulation and aberrant alternative splicing in AML relapse and drug resistance. These findings highlight RBPs and alternative splicing events (ASEs) as potential clinical biomarkers and therapeutic targets. Our work opens new avenues for predicting relapse risk and overcoming drug resistance in AML patients.

Indexed as

Acute myeloid leukaemia (AML)Alternative splicing (AS)Differentially expressed genes (DEGs)Drug resistanceRNA-binding proteins (RBPs)

Identifiers

PMID42329505
PMCPMC13309608

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.