Abnormal expression of miR-22-5p in breast cancer patients and its correlation with 18 F-FDG PET/CT features and serum-related tumor markers

To explore the abnormal expression of miR-22-5p in the serum of breast cancer (BC) patients and its clinical significance, and to clarify the potential mechanism of action. A total of 130 female breast cancer patients diagnosed by 18 F-FDG PET-CT and surgical pathology, along with 130 healthy female controls, were enrolled. Real-time quantitative polymerase chain reaction was used to detect serum miR-22-5p expression. Receiver Operating Characteristic curve analysis was applied to evaluate the diagnostic potential of miR-22-5p in BC. A dual-luciferase reporter gene assay was performed to validate the targeting of the MAS1 gene by miR-22-5p. Serum miR-22-5p expression was significantly higher in BC patients than in healthy controls, and positively correlated with clinical stages (III/IV vs. I/II, p < 0.001). ROC curve analysis showed an AUC of 0.887 for diagnostic efficacy. miR-22-5p expression exhibited positive correlations with PET/CT metabolic parameters and serum tumor markers. Cell-based experiments confirmed that miR-22-5p directly targeted the 3’-UTR of the MAS1 gene, suppressing MAS1 mRNA expression. Knockdown of miR-22-5p inhibited the proliferation, migration, and invasion of BC cells, whereas concurrent suppression of MAS1 reversed these inhibitory effects. Serum miR-22-5p emerges as a potential biomarker for BC diagnosis, participating in tumor metabolism and progression by regulating the MAS1 gene. This finding provides a novel therapeutic direction for BC targeted therapy.

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Publication Details

Journal
World Journal of Surgical Oncology
Published
2026-02-26
DOI
https://doi.org/10.1186/s12957-026-04243-4
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
0.00
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article

Abnormal expression of miR-22-5p in breast cancer patients and its correlation with 18 F-FDG PET/CT features and serum-related tumor markers

Tingting Hu, Pengzhou Tang, Xiaoyan Wu
World Journal of Surgical Oncology
MicroRNA in disease regulation
article

Abnormal expression of miR-22-5p in breast cancer patients and its correlation with 18 F-FDG PET/CT features and serum-related tumor markers

Tingting Hu, Pengzhou Tang, Xiaoyan Wu
article en

Abstract

To explore the abnormal expression of miR-22-5p in the serum of breast cancer (BC) patients and its clinical significance, and to clarify the potential mechanism of action. A total of 130 female breast cancer patients diagnosed by 18 F-FDG PET-CT and surgical pathology, along with 130 healthy female controls, were enrolled. Real-time quantitative polymerase chain reaction was used to detect serum miR-22-5p expression. Receiver Operating Characteristic curve analysis was applied to evaluate the diagnostic potential of miR-22-5p in BC. A dual-luciferase reporter gene assay was performed to validate the targeting of the MAS1 gene by miR-22-5p. Serum miR-22-5p expression was significantly higher in BC patients than in healthy controls, and positively correlated with clinical stages (III/IV vs. I/II, p < 0.001). ROC curve analysis showed an AUC of 0.887 for diagnostic efficacy. miR-22-5p expression exhibited positive correlations with PET/CT metabolic parameters and serum tumor markers. Cell-based experiments confirmed that miR-22-5p directly targeted the 3’-UTR of the MAS1 gene, suppressing MAS1 mRNA expression. Knockdown of miR-22-5p inhibited the proliferation, migration, and invasion of BC cells, whereas concurrent suppression of MAS1 reversed these inhibitory effects. Serum miR-22-5p emerges as a potential biomarker for BC diagnosis, participating in tumor metabolism and progression by regulating the MAS1 gene. This finding provides a novel therapeutic direction for BC targeted therapy.

World Journal of Surgical Oncology
Shanxi Medical University (CN), Shanghai University of Traditional Chinese Medicine (CN), First Hospital of Shanxi Medical University (CN), Shuguang Hospital (CN)
Good health and well-being
Openalex Percentile: Top 41%
MicroRNA in disease regulation
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