Feng Xu1, Hua He2, Wen Huang2, Yunting Lin2, Shiyu Luo2, Qian Du2, Ranhui Duan3. 1. Department of Breast and Thyroid Surgery, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China. 2. The State Key Laboratory of Medical Genetics & School of Life Sciences, Central South University, Changsha, 410078, Hunan, China. 3. The State Key Laboratory of Medical Genetics & School of Life Sciences, Central South University, Changsha, 410078, Hunan, China. duanranhui@sklmg.edu.cn.
Abstract
OBJECTIVES: MicroRNA-200 family (miR-200f) has been consistently reported to be deregulated and modulate the metastatic process in multiple cancers. In the present study, we detected the expression of miR-200f in breast cancer (BC) tissue and explored its relationships with clinicopathological characteristics, especially with lymph node metastasis. METHODS: Expression levels of miR-200a, miR-200b, miR-200c, miR-141, and miR-429 in 99 pairs of BC tissues and adjacent normal tissues were measured by real-time quantitative PCR. The correlation between miR-200f level and multiple clinicopathological factors was then examined by Mann-Whitney test, ANOVA, and operating characteristic (ROC) analysis. RESULTS: All members of the miR-200f were down-regulated in BC tissue compared with that in normal adjacent tissue; miR-200a, miR-200b, and miR-200c were highly decreased (p < 0.05), while the differences of miR-141 and miR-429 between patients and the control group were not statistically significant. Furthermore, all five members were found to be distinctly decreased with the incidence of lymph node metastasis (p < 0.05); When the patients were divided into three groups according to the number of lymph node metastasis (0; 1-3; ≥4), a gradual decrease of miR-200f expression was observed with the increasing number of lymph node metastasis; ROC revealed that miR-200b can differentiate patients with lymph node metastasis from those without lymph node metastasis. CONCLUSION: These observations imply that the down-regulation of miR-200f in human BC is associated with an invasive phenotype, and miR-200b may be useful to estimate the likelihood of the presence of pathologically positive lymph nodes.
OBJECTIVES: MicroRNA-200 family (miR-200f) has been consistently reported to be deregulated and modulate the metastatic process in multiple cancers. In the present study, we detected the expression of miR-200f in breast cancer (BC) tissue and explored its relationships with clinicopathological characteristics, especially with lymph node metastasis. METHODS: Expression levels of miR-200a, miR-200b, miR-200c, miR-141, and miR-429 in 99 pairs of BC tissues and adjacent normal tissues were measured by real-time quantitative PCR. The correlation between miR-200f level and multiple clinicopathological factors was then examined by Mann-Whitney test, ANOVA, and operating characteristic (ROC) analysis. RESULTS: All members of the miR-200f were down-regulated in BC tissue compared with that in normal adjacent tissue; miR-200a, miR-200b, and miR-200c were highly decreased (p < 0.05), while the differences of miR-141 and miR-429 between patients and the control group were not statistically significant. Furthermore, all five members were found to be distinctly decreased with the incidence of lymph node metastasis (p < 0.05); When the patients were divided into three groups according to the number of lymph node metastasis (0; 1-3; ≥4), a gradual decrease of miR-200f expression was observed with the increasing number of lymph node metastasis; ROC revealed that miR-200b can differentiate patients with lymph node metastasis from those without lymph node metastasis. CONCLUSION: These observations imply that the down-regulation of miR-200f in human BC is associated with an invasive phenotype, and miR-200b may be useful to estimate the likelihood of the presence of pathologically positive lymph nodes.
Entities:
Keywords:
Breast cancer; Clinicopathology; MicroRNA-200; Real-time quantitative PCR
Authors: Philip S Choi; Lisa Zakhary; Wen-Yee Choi; Sophie Caron; Ezequiel Alvarez-Saavedra; Eric A Miska; Mike McManus; Brian Harfe; Antonio J Giraldez; H Robert Horvitz; Alexander F Schier; Catherine Dulac Journal: Neuron Date: 2008-01-10 Impact factor: 17.173