Evidence map›Paper›PMID 40158122›Full record

ArticleWorld journal of surgical oncology2025

The diagnostic value of a breast cancer diagnosis model based on serum MiRNAs and serum tumor markers.

Xiaohui Li, Feng Wang, Faquan Lin, Binbin Xie, Yi Liu, Yi Xiao, Kai Qin, Weicheng Li, Qiyan Zeng

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xiaohui Li *Department of Biochemistry and Molecular Biology, Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Feng Wang *Department of Biochemistry and Molecular Biology, Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Faquan LinDepartment of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Binbin XieDepartment of Biochemistry and Molecular Biology, Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Yi LiuDepartment of Biochemistry and Molecular Biology, Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Yi XiaoDepartment of Biochemistry and Molecular Biology, Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Kai QinDepartment of Biochemistry and Molecular Biology, Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Weicheng LiDepartment of Biochemistry and Molecular Biology, Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Qiyan ZengDepartment of Biochemistry and Molecular Biology, Guangxi Medical University, Nanning, Guangxi, People's Republic of China. zengnn6@hotmail.com.

Funding

National Innovation and Entrepreneurship Training Program for College Students No.202210598009National Natural Science Foundation of China Grant No. 82060387
6 · The paper itself

Abstract

backgroundBreast cancer (BCa) is the leading cause of cancer-related death among women worldwide. MicroRNAs (miRNAs) are promising tools for diagnosis and prognosis. This study investigated the role of serum miRNAs and tumor markers (TMs) in the diagnosis of BCa.

methodsDifferentially expressed miRNAs were screened from serum samples of BCa patients and healthy individuals via high-throughput sequencing. The expression of hsa-miR-1911-3p, hsa-miR-4694-5p, hsa-miR-548ao-5p, and hsa-miR-4804-3p in 169 BCa patients and 116 healthy controls was detected via qRT-PCR. Serum tumor-associated antigens were detected by chemiluminescence. Logistic regression was subsequently used to develop the miRNA panel I, TM panel II, and (miRNA + TM) panel III models. Receiver operating characteristic (ROC) curve, precision-recall (PR) curve and decision curve analyses (DCA) were performed to assess the accuracy of the three models for BCa diagnosis. Additionally, the relationships between miRNA expression and the clinical characteristics of patients with BCa were assessed.

resultsFour serum miRNAs (hsa-miR-1911-3p, hsa-miR-548ao-5p, hsa-miR-4694-5p, and hsa-miR-4804-3p) were newly associated with BCa. The miRNA panel I based on hsa-miR-548ao-5p and hsa-miR-4804-3p showed greater diagnostic effectiveness for BCa than TM panel II based on cancer antigen 125 (CA125) and cancer antigen 153 (CA153), with AUC values of 0.816 and 0.777, respectively. (miRNA + TM) panel III had higher diagnostic effectiveness than miRNA panel I, with an AUC value of 0.870. The expression of miR-548ao-5p and miR-4804-3p is closely related to clinical features, such as human epidermal growth factor receptor 2 (HER2), estrogen receptor (ER), progesterone receptor (PR), HER2-enriched subtype, stage III/IV, and lymph node-transplanted breast cancer.

conclusionMiR-548ao-5p and miR-4804-3 could serve as potential biomarkers for the diagnosis of BCa.

Indexed as

Biomarkers, TumorBreast NeoplasmsMicroRNAsAdultAgedCase-Control StudiesFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansMiddle AgedPrognosisROC CurveBiomarkers, TumorMicroRNAsBreast cancerDiagnosisHsa-miR-4804-3pHsa-miR-548ao-5pTumor markers

Identifiers

PMID40158122
PMCPMC11954258

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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.