AIM: To study the potential prognostic role of microRNA-382 (miR-382) in esophageal squamous cell carcinoma (ESCC). METHODS: Forty six patients were divided into 2 groups according to postoperative survival time: the poor outcome group (28 patients), who showed early metastasis but no recurrence, and died within 1 year after surgery, 12 patients of the group received postoperative chemotherapy treatment that was given after early metastasis happening; the good outcome group (18 patients), who had no clinical metastasis and recurrence, and survived 5 years or more after surgery, all patients did not receive any postoperative treatment. Total RNA was extracted from the patients' formalin-fixed and paraffin-embedded esophageal cancer tissues. miR-382 level was evaluated using high-throughput real-time quantitative polymerase chain reaction analysis. The correlation between miR-382 level and clinicopathologic features was analyzed through COX regression model, and Kaplan-Meier analysis was used to analyze the relationship between miR-382 level and patient survival time. RESULTS: miR-382 was differentially expressed in the two groups. Overall the average miR-382 level in the ESCC patients with good outcome was 9.8 ± 3.8, while miR-382 level in the ESCC patients with poor outcome was 3.0 ± 0.8. The differences of miR-382 levels between two groups were significant (P < 0.05). Kaplan-Meier analysis results showed that miR-382 expression level generally had a significant reverse-correlation with ESCC patient survival time (P < 0.001), in which the patients with higher expressions of miR-382 had a longer survival time either among individuals with the same tumor stage or among the overall patients. CONCLUSION: miR-382 levels are reverse-correlated with ESCC poor outcomes, suggesting that miR-382 could be a potential predictive biomarker for both prognosis and treatment of ESCC.
AIM: To study the potential prognostic role of microRNA-382 (miR-382) in esophageal squamous cell carcinoma (ESCC). METHODS: Forty six patients were divided into 2 groups according to postoperative survival time: the poor outcome group (28 patients), who showed early metastasis but no recurrence, and died within 1 year after surgery, 12 patients of the group received postoperative chemotherapy treatment that was given after early metastasis happening; the good outcome group (18 patients), who had no clinical metastasis and recurrence, and survived 5 years or more after surgery, all patients did not receive any postoperative treatment. Total RNA was extracted from the patients' formalin-fixed and paraffin-embedded esophageal cancer tissues. miR-382 level was evaluated using high-throughput real-time quantitative polymerase chain reaction analysis. The correlation between miR-382 level and clinicopathologic features was analyzed through COX regression model, and Kaplan-Meier analysis was used to analyze the relationship between miR-382 level and patient survival time. RESULTS:miR-382 was differentially expressed in the two groups. Overall the average miR-382 level in the ESCC patients with good outcome was 9.8 ± 3.8, while miR-382 level in the ESCC patients with poor outcome was 3.0 ± 0.8. The differences of miR-382 levels between two groups were significant (P < 0.05). Kaplan-Meier analysis results showed that miR-382 expression level generally had a significant reverse-correlation with ESCC patient survival time (P < 0.001), in which the patients with higher expressions of miR-382 had a longer survival time either among individuals with the same tumor stage or among the overall patients. CONCLUSION:miR-382 levels are reverse-correlated with ESCC poor outcomes, suggesting that miR-382 could be a potential predictive biomarker for both prognosis and treatment of ESCC.
Authors: George Adrian Calin; Calin Dan Dumitru; Masayoshi Shimizu; Roberta Bichi; Simona Zupo; Evan Noch; Hansjuerg Aldler; Sashi Rattan; Michael Keating; Kanti Rai; Laura Rassenti; Thomas Kipps; Massimo Negrini; Florencia Bullrich; Carlo M Croce Journal: Proc Natl Acad Sci U S A Date: 2002-11-14 Impact factor: 11.205
Authors: Yong Guo; Zhaoli Chen; Liang Zhang; Fang Zhou; Susheng Shi; Xiaoli Feng; Baozhong Li; Xin Meng; Xi Ma; Mingyong Luo; Kang Shao; Ning Li; Bin Qiu; Keith Mitchelson; Jing Cheng; Jie He Journal: Cancer Res Date: 2008-01-01 Impact factor: 12.701