Potential biomarkers and immune characteristics for polycythemia vera-related atherosclerosis using bulk RNA and single-cell RNA datasets: a combined comprehensive bioinformatics and machine learning analysis

We identified two CGs (CCR1 and MMP9) as potential biomarkers for PV-related AS and established a diagnostic model based on them. These results may provide insight for future experimental studies for the diagnosis and treatment of PV-related AS.

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Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2024-08-12
DOI
https://doi.org/10.3389/fcvm.2024.1426278
Primary Topic
Myeloproliferative Neoplasms: Diagnosis and Treatment
Type
article
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article

Potential biomarkers and immune characteristics for polycythemia vera-related atherosclerosis using bulk RNA and single-cell RNA datasets: a combined comprehensive bioinformatics and machine learning analysis

Ziqing Wang, Jixuan Zou
Frontiers in Cardiovascular Medicine
Myeloproliferative Neoplasms: Diagnosis and Treatment
article

Potential biomarkers and immune characteristics for polycythemia vera-related atherosclerosis using bulk RNA and single-cell RNA datasets: a combined comprehensive bioinformatics and machine learning analysis

Ziqing Wang, Jixuan Zou
article en

Abstract

We identified two CGs (CCR1 and MMP9) as potential biomarkers for PV-related AS and established a diagnostic model based on them. These results may provide insight for future experimental studies for the diagnosis and treatment of PV-related AS.

Frontiers in Cardiovascular MedicineVol. 11
Beijing University of Chinese Medicine (CN), Capital Medical University (CN), Beijing Friendship Hospital (CN)
Life in Land
Openalex Percentile: Top 79%
Myeloproliferative Neoplasms: Diagnosis and Treatment
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