Correlation between expression levels of BRMS1L, KRT19, and miR-101 in surgically resected specimens and postoperative recurrence and metastasis of differentiated thyroid cancer
10.3760/cma.j.cn115807-20250414-00102
- VernacularTitle:分化型甲状腺癌组织中BRMS1L、KRT19、miR-101表达水平与其术后复发转移的相关性分析
- Author:
Bo ZHANG
1
;
Yanchao QIN
;
Xuesong WU
Author Information
1. 山西省肿瘤医院病案室 中国医学科学院肿瘤医院山西医院 山西医科大学附属肿瘤医院，太原 030013
- Publication Type:Journal Article
- Keywords:
Differentiated thyroid cancer;
Breast cancer metastatic 1-like transcriptional repressor;
Keratin 19;
MicroRNA-101;
Recurrence;
Metastasis
- From:
Chinese Journal of Endocrine Surgery
2025;19(4):533-540
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the correlation between the expression levels of breast cancer metastasis-like transcriptional repressor (BRMS1L), keratin 19 (KRT19), microRNA-101 (miR-101) in surgical resection specimens and postoperative recurrence and metastasis of differentiated thyroid cancer (DTC) .Methods:A total of 186 DTC patients were selected in Shanxi Province Cancer Hospital from Jan. 2021 to Jan. 2023. Their recurrence and metastasis status were assessed in 2 years after surgery, and they were categorized into the recurrence and metastasis group and the non-recurrence and metastasis group. The clinical data of the two groups, as well as the expression levels of BRMS1L, KRT19, and miR-101 in the surgical resection specimens, were compared. Logistic regression analysis was used to investigate the relationship between BRMS1L, KRT19, miR-101 in the surgical resection specimens and postoperative recurrence and metastasis of DTC. Receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to evaluate the predictive value of BRMS1L, KRT19, and miR-101 in the surgical resection specimens for postoperative recurrence and metastasis of DTC, as well as their gain value in constructing predictive models.Results:Among 186 DTC patients were followed up for 2 years postoperatively, 4 were lost to follow-up. Of these, 137 did not experience recurrence or metastasis, while 45 did, resulting in a recurrence and metastasis rate of 24.73% (45/182). The tumor diameter, proportion of stage Ⅲ-Ⅳ, proportion of multiple lesions, and proportion of lymph node metastasis in the recurrent and metastatic group were all higher than those in the non-recurrent and non-metastatic group, while the proportion of postoperative 131I therapy was lower ( P<0.001, P=0.002, P=0.008, P<0.001). The KRT19 mRNA level in the recurrent and metastatic group was higher than that in the non-recurrent and non-metastatic group, while the BRMS1L mRNA and miR-101 levels were lower (both P<0.001). Logistic regression analysis showed that, before and after adjusting for other factors, BRMS1L, KRT19, and miR-101 were independent factors influencing postoperative recurrence and metastasis of DTC (both P<0.001). ROC curves showed that the AUCs of BRMS1L, KRT19, and miR-101 for predicting recurrent metastasis after DTC were 0.776, 0.802, 0.812, with sensitivities of 84.44%, 73.33%, and 84.44%, and specificities of 62.04%, 72.26%, and 79.56%; the R language package was used to construct a conventional prediction model consisting of clinical factors such as tumor diameter, clinical stage, lesion type, lymph node metastasis, and postoperative 131I treatment, and a new prediction model consisting of tumor diameter, clinical stage, lesion type, lymph node metastasis, postoperative 131I treatment, BRMS1L, KRT19, and miR-101. The test results indicated that both prediction models exhibited good fit ( P>0.05). The ROC curve analysis revealed that the AUCs for predicting postoperative recurrence and metastasis in DTC were 0.928 and 0.854 for the new and conventional prediction models, respectively. The sensitivity was 91.11% and 80.00%, and the specificity was 83.94% and 78.83%, respectively. The predictive value of the new prediction model was significantly better than that of the conventional prediction model ( Z=2.011, P=0.044) . Conclusions:The expression levels of BRMS1L, KRT19, and miR-101 in surgically resected specimens are closely correlated with postoperative recurrence and metastasis of DTC, serving as independent influencing factors with good predictive value. Furthermore, they exhibit significant gain value in constructing predictive models.
