Construction and validation of nomogram prediction model for recurrent spontaneous abortion based on the expression of MALAT1, miR-515-5p, and MCL1 mRNA.

Xufei Chen, Xiaotong Wang, Yuyi Yuan, Shuzhen He, Huanhuan Huang, Chunhua Zhong

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Article in Frontiers in medicine, 2025. 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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6 authors.

Xufei ChenDepartment of Obstetrics, The Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Dongguan, China.

Xiaotong WangDepartment of Obstetrics, The Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Dongguan, China.

Yuyi YuanDepartment of Obstetrics, The Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Dongguan, China.

Shuzhen HeDepartment of Obstetrics, The Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Dongguan, China.

Huanhuan HuangDepartment of Obstetrics, The Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Dongguan, China.

Chunhua ZhongDepartment of Obstetrics, The Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Dongguan, China.

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6 · The paper itself

Abstract

Objective: To investigate the construction and clinical application value of Nomogram predictive model for recurrent spontaneous abortion (RSA) based on the expressions of MALAT1 (Metastasis Associated Lung Adenocarcinoma Transcript 1), miR-515-5p, and MCL1 (Myeloid Cell Leukemia-1) mRNA. Methods: According to the 7:3 ratio, the patients were divided into the training set ( Results: There were 38 cases (28.15%) of RSA in the training set and 17 cases (29.31%) in the validation set. During the training set, advanced maternal age, number of abortions >3, low progesterone level in early pregnancy, high expression of MALAT1, low expression of miR-515-5p and low expression of MCL1 mRNA were the independent risk factors for RSA ( Conclusion: The Nomogram prediction model constructed based on the expressions of MALAT1, miR-515-5p, and MCL1 mRNA is helpful to predict the occurrence of RSA in the early stage and guide the making of appropriate clinical decisions.

Indexed as

MALAT1MCL1 mRNAmiR-515-5pnomogram prediction modelrecurrent spontaneous abortion

Identifiers

PMID41480526

DOI10.3389/fmed.2025.1558818

PMCPMC12753443

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