Evidence map›Paper›PMID 41870649›Full record

ArticleAnnals of hematology2026

FTO-CHRM3 axis regulates multiple myeloma progression: a machine learning-based identification.

Bo Lu, Ting Bin, Xue-Fei Deng, Mei Xie, Chao Lin, Jing Tang, Tian-Tian Sun

Abstract read
In one paragraph

Article in Annals of hematology, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Bo Lu *Department of Haematology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, China.
Ting Bin *Department of Haematology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, China.
Xue-Fei Deng *Department of Haematology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, China.
Mei XieDepartment of Haematology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, China.
Chao LinPediatric Hematology Laboratory, Division of Hematology/Oncology, Department of Pediatrics, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, China. linchao@sysush.com.
Jing TangDepartment of Haematology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, China. tangj26@mail2.sysu.edu.cn.
Tian-Tian SunDepartment of Haematology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, China. suntt6@mail.sysu.edu.cn.

Funding

Sanming Project of Medicine in Shenzhen SZSM202411022Shenzhen Science and Technology Innovation Commission JCYJ20230807110659001
6 · The paper itself

Abstract

backgroundFat Mass and Obesity-Associated (FTO) is linked to multiple myeloma (MM) progression, but its action mechanisms are poorly understood.

methodsMachine learning and correlation analysis identified genes with consistent expression patterns as FTO-associated genes. Additionally, the expression levels of FTO and its associated genes in MM tissues were validated through immunohistochemistry. The impact of FTO-associated genes expression on the immune microenvironment of MM was assessed through immune infiltration analysis. Single-cell RNA sequencing (scRNA-seq) elucidated cellular expression patterns.

resultsFTO was found to be significantly upregulated in MM and associated with poor prognosis. Four potential FTO-associated genes (CHRM3, GINS3, RRM2, and SHCBP1) were identified. Correlation and immunohistochemical analyses further focused the FTO-CHRM3 axis. Functional enrichment analysis unveiled that FTO and CHRM3 were involved in "DNA replication" and "cell cycle". The infiltration of M2 macrophages and eosinophils were altered in high FTO/CHRM3 expression groups. ScRNA-seq highlighted the monocyte-specific expression of SLC8A1 in the calcium signaling pathway in MM.

conclusionThe FTO-CHRM3 axis contributes to MM progression via calcium signaling pathway dysregulation, and the exploration of its underlying mechanisms provides insights for targeted MM interventions.

Indexed as

Alpha-Ketoglutarate-Dependent Dioxygenase FTOMachine LearningMultiple MyelomaCalcium SignalingDisease ProgressionGene Expression Regulation, NeoplasticHumansTumor MicroenvironmentAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humanCalcium signaling pathwayCHRM3FTOImmune microenvironmentMultiple myelomaSingle-cell RNA sequencing

Identifiers

PMID41870649
PMCPMC13009012

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.