1.Low Expression of Circulating MicroRNA-34c is Associated with Poor Prognosis in Triple-Negative Breast Cancer.
Zhihao ZENG ; Xiaowu CHEN ; Dajian ZHU ; Zhongran LUO ; Min YANG
Yonsei Medical Journal 2017;58(4):697-702
PURPOSE: The microRNA-34 (miR-34) family is important in tumor regulation. This study aimed to investigate the association of circulating miR-34 family proteins with clinicopathological features and their prognostic value in triple-negative breast cancer (TNBC) patients. MATERIALS AND METHODS: In this cohort study, 173 TNBC patients admitted to First People's Hospital of Shunde from May 1, 2009 to April 30, 2013 were enrolled. Meanwhile, 75 age-matched healthy women volunteers were identified as healthy controls (HCs). We examined the expression of miR-34 family (miR-34a/b/c) proteins in plasma collected from TNBC patients before any treatment was performed and from age-matched HCs using qPCR methods. RESULTS: The expressions of miR-34a/34b/34c were significantly lower in TNBC patients than in HC (p<0.001, p=0.027, p<0.001, respectively). miR-34a was correlated with tumor grade (p=0.038), lymph node positive (p=0.027), distant metastasis (p=0.004), and surgery (p=0.023); miR-34b was correlated with lymph node positivity (p=0.027); and miR-34c was correlated with tumor grade (p=0.017) and distant metastasis (p<0.001). Kaplan-Meier curve analysis displayed low expression of miR-34a as associated with worse overall survival (OS) (p=0.011), as well as miR-34c low expression (p=0.002). In addition, univariate and multivariate Cox proportional hazards regression was performed, and low expression of miR-34c (p=0.011) was found to be an independent risk factor for OS, as well as tumor grade (p=0.013), lymph node positive (p=0.050), and distant metastasis (p=0.021). CONCLUSION: In conclusion, this study demonstrated reduced miR-34a/c expression is highly associated with tumor progression and indicated worse prognosis. Also, miR-34c was an independent risk factor for OS in TNBC patients.
Cohort Studies
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Female
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Humans
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Lymph Nodes
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Neoplasm Metastasis
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Plasma
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Prognosis*
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Risk Factors
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Triple Negative Breast Neoplasms*
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Volunteers
2.Impact of air temperature on years of life lost among residents in Guangzhou and Zhuhai: a time-series study.
Zhihao LI ; Yanjun XU ; Guozhen LIN ; Deyun LI ; Tao LIU ; Hualiang LIN ; Jianpeng XIAO ; Weilin ZENG ; Xing LI ; Wenjun MA ; Email: MWJ68@VIP.TOM.COM.
Chinese Journal of Epidemiology 2015;36(7):720-724
OBJECTIVETo evaluate the impacts of air temperature on years of life lost (YLL) among the residents in Guangzhou and Zhuhai, Guangdong province.
METHODSDaily mortality and meteorology data in Guangzhou and Zhuhai were collected, and distributed lag non-linear model (DLNM) was used to evaluate the cumulative and delayed effects of daily air temperature on YLL of total non-accident mortality. The accumulative effect of air temperature on mortality under the extreme high temperature (0-1 days) and extreme low temperature (0-13 days) situation in Guangzhou and Zhuhai were analyzed respectively.
RESULTSThe average YLL was 1 928.0 in Guangzhou and 202.5 in Zhuhai. The exposure-response functions seemed to be non-linear. The hot effect seemed to be acute and reached the peak at the same day, while the cold effect reached the peak at 5(th) days and lasted for about two weeks. Low temperature had stronger gross effect than high temperature had. The cold effect among males was greater than that among females in Guangzhou. The hot/cold effect on YLL was greater in people aged ≥ 65 years than in people aged < 65 years and in people suffering from respiratory disease than in people suffering from cardiovascular disease in both Guangzhou and Zhuhai.
CONCLUSIONThe effects of high and low temperatures on YLL were obvious, and the impact of low temperature was greater. The elderly and people suffering from respiratory disease or cardiovascular disease are the vulnerable populations.
Aged ; Air ; Cardiovascular Diseases ; epidemiology ; China ; epidemiology ; Extreme Cold ; adverse effects ; Extreme Heat ; adverse effects ; Female ; Humans ; Male ; Middle Aged ; Mortality, Premature ; Nonlinear Dynamics ; Respiratory Tract Diseases ; epidemiology ; Time Factors

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