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11 October 2018 : Laboratory Research  

Value of Diffusion-Weighted Magnetic Resonance Imaging Combined with miR-18a Level in Predicting Radiosensitivity of Cervical Cancer

Xinhua Bu1AC, Ji Zhang2AD, Fangzheng Tian2DE, Xiulan Wang2DE, Linyun Wu3DF, Weizhong Tian2ABFG*

DOI: 10.12659/MSM.910990

Med Sci Monit 2018; 24: MET7271-7278

Abstract

BACKGROUND: Radioresistance during radiotherapy of cervical cancer often leads to treatment failure; therefore, there is an urgent need to develop effective predictive indicators of radiosensitivity for cervical cancer patients.

MATERIAL AND METHODS: Cervical cancer cells were collected from 40 patients who received surgical resections. The relationships between apparent diffusion coefficient (ADC) values of masses before surgery and different micro-RNAs (miRNA) levels (miR-18a, miR-132, and miR-145) of these cells were investigated. Cervical cancer cells were divided into 4 groups according to the ADC values of original tumor tissues and expression level of miR-18a. Then, these cells were exposed with irradiation both in vitro and in vivo.

RESULTS: Advanced cervical cancer showed lower ADC values in magnetic resonance imaging. miR-18a, miR-132, and miR-145 all were increased in the cervical cancer tissues, while miR-18a showed a more marked negative correlation with ADC values. The results of in vitro and in vivo assays showed that higher expression of miR-18a in cervical cancer cells leads to more radiosensitivity, especially in cells from cancer tissues with lower ADC values.

CONCLUSIONS: The combination of ADC values with expression level of miR-18a may be a new and reliable predictor for radiosensitivity of cervical cancer, helping cervical cancer patients with low ADC values and high expressions of miR-18a to achieve better outcomes in radiotherapy.

Keywords: Radiography, Abdominal

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01 January 2026 : Editorial  

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Dinah V. Parums ORCID logo

DOI: 10.12659/MSM.952454

Med Sci Monit 2026; 32:e952454

0:00

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750