Evidence map›Paper›PMID 41925757›Full record

ArticleClinical and experimental medicine2026

Identification of plasma exosome circRNA as potential novel biomarkers for DLBCL and circrna-miRNA-mRNA network analysis.

Yue Cao, Lin Guo, Jiao Ge, Yan Qiu, Fei Wang, Feng Li, Weiying Gu, Yan Lin

Abstract read
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Article in Clinical and experimental medicine, 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yue CaoDepartment of Hematology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.
Lin GuoDepartment of Hematology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.
Jiao GeDepartment of Hematology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.
Yan QiuDepartment of Hematology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.
Fei WangDepartment of Hematology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.
Feng LiDepartment of Hematology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.
Weiying GuDepartment of Hematology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China. guweiying2017@126.com.
Yan LinDepartment of Hematology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China. thelma-linyan@163.com.

Funding

the National Natural Science Foundation of China 81800100
6 · The paper itself

Abstract

Diffuse large B-cell lymphoma (DLBCL), the most common aggressive non-Hodgkin lymphoma, urgently requires novel biomarkers for clinical diagnosis and therapeutic monitoring. Plasma exosomes from three DLBCL patients and three healthy controls were isolated via ultracentrifugation, and differentially expressed circular RNAs (circRNAs) were screened using Arraystar V2 microarrays (fold change [FC] ≥ 1.2, P ≤ 0.05). Candidate circRNAs were validated by quantitative real-time PCR (qRT-PCR) in 55 DLBCL patients and 25 controls. Microarray analysis identified 269 dysregulated circRNAs (152 upregulated, 117 downregulated; FC ≥ 1.2, P ≤ 0.05). RT-qPCR confirmed significantly elevated expression of hsa_circ_400230, hsa_circ_001393, and hsa_circ_404447 in DLBCL (P < 0.05), with areas under the ROC curve (AUCs) of 0.7622, 0.7244, and 0.6618, respectively. High hsa_circ_001393 expression correlated with advanced age (> 60 years), stage III/IV, high International Prognostic Index (IPI 3–5), elevated β2-microglobulin (> 2 mg/L), and non-complete remission (Non-CR) status (P < 0.05). Combined detection with lactate dehydrogenase (LDH) improved predictive efficacy (AUC = 0.817, P = 0.002). Post-chemotherapy complete remission (CR) patients exhibited significant reduction in hsa_circ_001393 (P = 0.0174). Competing endogenous RNA (ceRNA) network analysis identified MLLT3 as a hub gene, with overexpression associated with shorter survival (hazard ratio [HR] = 2.31, P = 0.0042). These findings demonstrate that Plasma exosomal hsa_circ_400230/001393/404,447 are novel diagnostic biomarkers. hsa_circ_001393 predicts therapeutic resistance and dynamically reflects chemotherapy response, potentially via the hsa-miR-1290/MLLT3 axis. This study advances liquid biopsy strategies for DLBCL management.

Indexed as

Biomarkers, TumorExosomesGene Regulatory NetworksLymphoma, Large B-Cell, DiffuseMicroRNAsRNA, CircularRNA, MessengerAdultAgedFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisBiomarkers, TumorMicroRNAsRNA, CircularRNA, MessengerBiomarkerCircRNADiffuse large b-cell lymphomaExosomeTherapeutic response

Identifiers

PMID41925757
PMCPMC13046684

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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 OpenQuestion graph.