H-Index
75
Scimago Lab
powered by Scopus
JCR
Clarivate
Analytics
21%
Acceptance
Rate
call: +1.631.470.9640
Mon-Fri 10 am - 2 pm EST

Logo



eISSN: 1643-3750

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

Xinhua Bu, Ji Zhang, Fangzheng Tian, Xiulan Wang, Linyun Wu, Weizhong Tian

(Department of Gynecology and Obstetrics, Taizhou People’s Hospital, Taizhou, Jiangsu, China (mainland))

Med Sci Monit 2018; 24:7271-7278

DOI: 10.12659/MSM.910990

Published: 2018-10-11


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: MicroRNAs, Radiography, Abdominal, Uterine Cervical Neoplasms



Back