Journal of International Oncology ›› 2025, Vol. 52 ›› Issue (2): 89-93.doi: 10.3760/cma.j.cn371439-20240727-00013

• Original Article • Previous Articles     Next Articles

Predictive value of MRI combined with serum lncRNA KCNQ1OT1, miR-204-5p for axillary lymph node metastasis of breast cancer

Wang Zhibao1(), Li Guangxian1, Zhang Xinxin1, Cui Wei2, Zhang Wei3   

  1. 1Department of Imaging, No.2 Hospital of Baoding, Hebei Province, Baoding 071051, China
    2Department of Tumor Surgery, No.2 Hospital of Baoding, Hebei Province, Baoding 071051, China
    3Department of Ultrasound, No.2 Hospital of Baoding, Hebei Province, Baoding 071051, China
  • Received:2024-07-27 Revised:2024-12-27 Online:2025-02-08 Published:2025-03-17
  • Contact: Wang Zhibao E-mail:wangzhibao1985w@163.com
  • Supported by:
    Baoding Science and Technology Project(2141ZF196)

Abstract:

Objective To investigate the value of MRI combined with serum long non-coding RNA (lncRNA) KCNQ1OT1 and microRNA-204-5p (miR-204-5p) in predicting axillary lymph node metastasis in breast cancer patients. Methods A total of 70 patients with breast cancer who were surgically diagnosed in the No.2 Hospital of Baoding, Hebei Province from January 2020 to December 2022 were selected as the study objects. Patients were divided into metastatic group (n=31) and non-metastatic group (n=39) according to the status of lymph node metastasis. The MRI features and the levels of serum lncRNA KCNQ1OT1 and miR-204-5p were compared between the two groups. Receiver operator characteristic (ROC) curve was used to evaluate the predictive efficacy of the three detections alone and in combination for axillary lymph node metastasis in breast cancer. Results There were statistically significant differences in tumor maximum diameter (χ2=4.28, P=0.039) and Ki-67 expression (χ2=10.88, P=0.001) between the metastatic and non-metastatic groups. There were statistically significant differences between the breast cancer axillary lymph node metastatic group and the non-metastatic group in the mode of internal reinforcement type (χ2=6.60,P=0.037), peripheral vessel diameter(t=4.33,P<0.001), number of peripheral vessel roots(t=4.38,P<0.001), apparent diffusion coefficient(t=3.59,P=0.001), and MRI lymph node status(χ2=29.70,P<0.001). The level of serum lncRNA KCNQ1OT1 in metastatic group was higher than that in non-metastatic group (1.41±0.32 vs. 0.99±0.18, t=6.94, P<0.001), and the level of miR-204-5p was lower than that in non-metastatic group (0.72±0.17 vs. 1.03±0.21, t=6.66, P<0.001). Bioinformatics analysis showed that miR-204-5p may have a targeting relationship with lncRNA KCNQ1OT1. ROC curve analysis showed the area under the curve of MRI features, serum levels of lncRNA KCNQ1OT1, miR-204-5p and their combined detection to predict lymph node metastasis of breast cancer patients were 0.823, 0.858, 0.843, 0.946, respectively. The predictive efficacy of the combined detection was better than that of MRI features and serum lncRNA KCNQ1OT1 and miR-204-5p levels alone (Z=3.29, P=0.001; Z=2.07, P=0.038; Z=2.23, P=0.026). Conclusions Serum lncRNA KCNQ1OT1 level is up-regulated and the level of miR-204-5p is down-regulated in patients with axillary lymph node metastasis of breast cancer. And the combination of MRI features with serum lncRNA KCNQ1OT1 and miR-204-5p has high predictive efficacy in predicting lymph node metastasis in breast cancer patients.

Key words: Breast neoplasms, Neoplasm metastasis, Magnetic resonance imaging, Long non-coding RNA, KCNQ1OT1, miR-204-5p