Evidence map›Paper›PMID 41006804›Full record

ArticleCommunications biology2025

Multi-omics data reveal the origin of cardiac myxoma.

Shengzhong Liu, Wanfeng Zhang, Huajun Sun, Chenqing Zheng, Keli Huang, Chengming Fan, Rensheng Lai, Mingzhu Yin, Jie Lan, Xiushan Wu and 2 more

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Corrections and comments

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

12 authors.

Shengzhong Liu *Department of Cardiovascular Surgery, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Wanfeng Zhang *Department of Bioinformatics, College of Artificial Intelligence Medicine, Chongqing Medical University, Chongqing, China.ORCID http://orcid.org/0000-0002-8717-1552
Huajun Sun *Department of Cardiovascular Surgery, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Chenqing Zheng *Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People's Hospital, Shenzhen, China.
Keli HuangDepartment of Cardiovascular Surgery, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Chengming FanDepartment of Cardiovascular Surgery, the Second Xiangya Hospital, Central South University, Changsha, China.
Rensheng LaiMedical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) Chongqing University Three Gorges Hospital, Chongqing University, Chongqing, China.
Mingzhu YinClinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Chongqing, China.ORCID http://orcid.org/0000-0002-6964-7131
Jie LanDepartment of Bioinformatics, College of Artificial Intelligence Medicine, Chongqing Medical University, Chongqing, China.
Xiushan WuThe Center for Heart Development, Hunan Normal University, Changsha, Hunan, China. xiushanwu2003@aliyun.com.ORCID http://orcid.org/0000-0001-8431-4266
Longke RanCollege of Artificial Intelligence Medicine, Department of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. longkeran@aliyun.com.
Xiaoping LiDepartment of Cardiovascular Surgery, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China. lixiaoping0119@163.com.ORCID http://orcid.org/0000-0001-5580-5605

Funding

Chongqing Postdoctoral Science Foundation CSTB2023NSCQ‑BHX0114
6 · The paper itself

Abstract

Cardiac myxoma, the most common primary heart tumor, remains poorly understood at the molecular level. Here, we combined single-nucleus RNA sequencing, third-generation transcriptomics, and untargeted metabolomics to dissect its origin and pathology. Single-cell analyses demonstrate an endothelial origin driven by aberrant endothelial-to-mesenchymal transition (EndMT), with pseudotime and RNA-velocity tracing a continuum from endothelial-like to mesenchymal-like and metabolically active states. We identify two distinct myxoma subtypes: Subtype 1, marked by MAPK/WNT/EGFR pathway activation, and Subtype 2, characterized by ribosomal and oxidative phosphorylation signatures alongside immune-evasive programs. Third-generation data highlight extracellular matrix remodeling and endothelial signaling, while metabolomics reveal dysregulated purine, nicotinic acid, and nicotinamide metabolism. Notably, MET-PTK2 signaling emerges as a potential driver of tumor initiation and progression. These integrated findings define the cellular architecture and metabolic adaptations of cardiac myxoma and lay the foundation for future interventions.

Indexed as

Heart NeoplasmsMyxomaEpithelial-Mesenchymal TransitionGene Expression Regulation, NeoplasticHumansMetabolomicsMultiomicsSingle-Cell AnalysisTranscriptome

Identifiers

PMID41006804
PMCPMC12474904

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.