Evidence map›Paper›PMID 39400016›Full record

ArticleCurrent medicinal chemistry2025

FOXN3-AS1: A Candidate Prognostic Marker and Epigenetic Target with Immunotherapeutic Implications in Acute Myeloid Leukemia.

Fangfang Ge, Yulu Wang, Peng Chen, Amit Sharma, Xiaoli Huang, Tikam Chand Dakal, Zifeng Wang, Ulrich Jaehde, Markus Essler, Matthias Schmid and 1 more

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Article in Current medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers 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

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Fangfang GeDepartment of Integrated Oncology, Center for Integrated Oncology (CIO), University Hospital of Bonn, Bonn, Germany.
Yulu WangDepartment of Integrated Oncology, Center for Integrated Oncology (CIO), University Hospital of Bonn, Bonn, Germany.
Peng ChenDepartment of Integrated Oncology, Center for Integrated Oncology (CIO), University Hospital of Bonn, Bonn, Germany.
Amit SharmaDepartment of Integrated Oncology, Center for Integrated Oncology (CIO), University Hospital of Bonn, Bonn, Germany.
Xiaoli HuangDepartment of Pulmonology, Chongqing Yongchuan District Hospital of Traditional Chinese Medicine, Chongqing, China.
Tikam Chand DakalGenome and Computational Biology Lab, Department of Biotechnology, Mohanlal Sukhadia University, Udaipur, India.
Zifeng WangDepartment of Hematology, Shangrao People's Hospital, Shangrao, China.
Ulrich JaehdeDepartment of Clinical Pharmacy, Institute of Pharmacy, University of Bonn, Bonn, Germany.
Markus EsslerDepartment of Nuclear Medicine, University Hospital Bonn, Bonn, Germany.
Matthias SchmidInstitute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany.
Ingo G H Schmidt-WolfDepartment of Integrated Oncology, Center for Integrated Oncology (CIO), University Hospital of Bonn, Bonn, Germany.

Funding

Center for Integrated Oncology (CIO) Aachen Bonn Köln Düsseldorf by Deutsche Krebshilfe, Bonn, Germany 70113470
6 · The paper itself

Abstract

aimWe focused on the FOXN3 gene and selected its antisense transcripts (FOXN3-AS1) to investigate its potential involvement in acute myeloid leukemia (AML).

backgroundSeveral integrated multi-omics datasets have expanded the horizons of the cancer landscape. With the emergence of new high-throughput technologies, a large number of non-coding RNAs have been confirmed to be involved in the pathogenesis of different types of hematological malignancies.

methodsWe conducted experimental validation using quantitative polymerase chain reaction (qPCR) with bone marrow specimens from AML patients. Then, Kaplan-Meier (KM) and Receiver Operating Characteristic (ROC) curves were used to substantiate the prognostic association between FOXN3-AS1 and AML patients within the TCGA database. Correlation between FOXN3-AS1 expression and gene mutation, immune, and immune function using Spearman correlation analysis. To explore the physical and functional interaction between FOXN3-AS1 and the DNMT1 protein, we utilized the RPISeq web tool from Iowa State University. Subsequently, we performed qPCR experiments to test the effect of 5AzaC (DNMT1 inhibitor) on FOXN3-AS1 expression AML cell lines (THP1 and OCI-AML3). We leveraged the "OncoPredict" R package in conjunction with the Genomics of Drug Sensitivity (GDSC) database to predict drug response in AML patients expressing FOXN3-AS1.

resultsWe observed a significant upregulation of FOXN3-AS1 expression in AML patients compared to healthy controls using clinical samples. The TCGA database revealed an association between high FOXN3-AS1 expression and adverse prognosis. In our subsequent analysis, genes with poor prognostic implications in AML patients were exclusively identified in the FOXN3-AS1 high-expression group, further corroborating this relationship. AML patients with higher FOXN3-AS1 expression levels may respond less optimally to immunotherapy than patients with lower levels. Besides, we computationally predicted the interaction of FOXN3- AS1 and DNMT1 protein and experimentally confirmed that DNMT1i (GSK-3484862) affects the expression level of FOXN3-AS1. We also found that the chemotherapy drugs (5-Fluorouralic, Cisplatin, Dactolisib, Sapitinib, Temozolomide, Ulixertinib, Vinorelbine, Ruxolitinib, Osimertinib and Cisplatin) showed favorable responses in AML patients with high FOXN3-AS1 expression levels.

conclusionOur candidate approach identifies FOXN3-AS1 as a prognostic indicator of survival in AML with a potential immune-related role. The preliminary observations we made on FOXN3-AS1/DNMT1 crosstalk warrant more in-depth invested immunotherapeutic approaches in AML.

Indexed as

Antineoplastic AgentsBiomarkers, TumorEpigenesis, GeneticImmunotherapyLeukemia, Myeloid, AcuteRNA, Long NoncodingCell Line, TumorDNA (Cytosine-5-)-Methyltransferase 1HumansPrognosisAntineoplastic AgentsBiomarkers, TumorDNA (Cytosine-5-)-Methyltransferase 1RNA, Long Noncodingacute myeloid leukemiaantisense transcriptsDNMT1.FOXN3FOXN3-AS1prognostic

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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 Socratic graph.