Evidence map›Paper›PMID 41244896›Full record

ArticleFrontiers in oncology2025

Identification and prognostic prediction of high-risk multiple myeloma by exosomal microRNA.

Ying Tian, Wenjiao Tang, Chunlan Zhang, Juan Xu, Yunfan Yang, Qinyu Liu, Xushu Zhong, Jie Wang, Caigang Xu

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ying Tian *Department of Hematology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Wenjiao Tang *Department of Hematology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Chunlan ZhangDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Juan XuDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yunfan YangDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Qinyu LiuDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xushu ZhongDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jie WangDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Caigang XuDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Circulating exosomal miRNAs have emerged as important tools for liquid biopsy in cancer diagnosis and prognosis prediction. This project establishes a plasma exosomal miRNA-based system for diagnosing multiple myeloma(MM) and evaluating patient prognosis, aiming to provide novel strategies for diagnosis and early warning in high-risk MM patients. Methods: The study prospectively collected plasma samples and clinical data of newly diagnosed multiple myeloma (NDMM) patients and healthy controls (HCs). Plasma samples were obtained in MM patients before the administration of any chemotherapy. The study comprises three stages to identify plasma exosomal miRNAs associated with the diagnosis and prognosis of MM. In the screening stage, next-generation sequencing of plasma circulating exosomes was performed in 17 NDMM patients and 8 HCs to screen the candidate differentially expressed miRNAs. We further investigated a testing stage of 80 individuals (including 60 NDMM patients and 20 HCs) and a verification stage of 130 NDMM through qPT-PCR. Results: Utilizing a testing cohort of 60 newly diagnosed MM cases, we developed a diagnostic model based on six miRNAs (hsa-miR-192-5p, hsa-miR-10a-5p, hsa-miR-10b-3p, hsa-miR-148a-3p, hsa-miR-193b-5p, hsa-miR-483-3p) achieving an AUC of 0.94, sensitivity of 0.88, and specificity of 0.94. In a validation cohort of 130 MM patients, we developed a prognostic nomogram that amalgamated the expression levels of three key exosomal miRNAs (hsa-miR-193b-5p, miR-483-3p, and let-7b-5p) with critical clinical variables, which exhibits superior performance compared to the ISS staging system. This integrative model effectively predicted 1-, 3-, and 5-year survival probabilities, thereby stratifying patients into distinct risk categories for enhanced clinical decision-making and personalized follow-up strategies. Discussion: This research validates the diagnostic and prognostic utility of exosomal miRNA models in MM, emphasizing their discriminative and predictive capabilities.

Indexed as

diagnosticexosomal miRNAliquid biopsymultiple myelomaprognostic

Identifiers

PMID41244896
PMCPMC12615177

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