5篇
您的检索式：作者名="Lifang Nie"
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| 1 | Preparation, microstructure and properties of yttrium aluminum garnet fibers prepared by sol–gel method显示文摘 | Chengshun Li Yujun Zhang Hongyu Gong Jingde Zhang Lifang Nie | 2008 | Materials Chemistry and Physics2008，，1： | 1 |
| 2 | PPreparation, microstrncture and properties of yttrium aluminum garnet fibers prepared by sol - gel method 显示文摘 | Chengshun Li Yujun Zhang Hongyu Gong Jingde Zhang Lifang Nie | 2009 | Materials Chemistry and Physics2009，，113： | 1 |
| 3 | La 0.6 Sr 0.4 Co 0.2 Fe 0.8 O 3? δ cathodes infiltrated with samarium-doped cerium oxide for solid oxide fuel cells显示文摘 | Lifang Nie Mingfei Liu Yujun Zhang Meilin Liu | 2010 | Journal of Power Sources2010，，15： | 1 |
| 4 | Risk-stratification model to select conversion surgery for advanced gastric cancer patients显示文摘Objective: Conversion surgery is a surgery with a purpose of R0 resection in primary advanced gastric cancer(GC) that responded well to systemic chemotherapy. This study aimed to explore the efficacy of conversion surgery for advanced GC.Methods: A total of 618 advanced GC patients receiving systemic chemotherapy were stratified into low-,moderate-and high-risk groups based on a nomogram-predicted probability of overall survival. The survival of conversion surgery and chemotherapy alone groups was compared using the log-rank test and Cox regression analysis after propensity score matching(PSM).Results: A nomogram with good discrimination(concordance index: 0.65) and accurate calibration was constructed. After PSM, the median survival time(MST) of conversion surgery was 26.80 months, compared with16.60 months of chemotherapy alone(P<0.001). Conversion surgery was associated with a longer MST for patients in the low-risk group(30.40 months vs. 20.90 months, P=0.013), whereas it was not associated with prolonged survival in the moderate-and high-risk groups(P=0.221 and P=0.131, respectively).Conclusions: Conversion surgery was associated with longer survival, especially for low-risk population. | Runcong Nie Shuqiang Yuan Yuanfang Li Shi Chen Shuman Li Lirong Yang Lifang Yang Yingbo Chen Zhiwei Zhou | 2019 | Chinese Journal of Cancer Research2019，31，1： | 1 |
| 5 | Plasma Extracellular Vesicle MicroRNA Analysis of Alzheimer’s Disease Reveals Dysfunction of a Neural Correlation Network显示文摘Small extracellular vesicle(sEV)is an emerging source of potential biomarkers of Alzheimer's disease(AD),but the role of microRNAs(miRNAs)in sEV is not well understood.In this study,we conducted a comprehensive analysis of sEV-derived miRNAs in AD using small RNA sequencing and coexpression network analysis.We examined a total of 158 samples,including 48 from AD patients,48 from patients with mild cognitive impairment(MCI),and 62 from healthy controls.We identified an miRNA network module(M1)that was strongly linked to neural function and showed the strongest association with AD diagnosis and cognitive impairment.The expression of miRNAs in the module was decreased in both AD and MCI patients compared to controls.Conservation analysis revealed that M1 was highly preserved in the healthy control group but dysfunctional in the AD and MCI groups,suggesting that changes in the expression of miRNAs in this module may be an early response to cognitive decline prior to the appearance of AD pathology.We further validated the expression levels of the hub miRNAs in M1 in an independent population.The functional enrichment analysis showed that 4 hub miRNAs might interact with a GDF11-centered network and play a critical role in the neuropathology of AD.In summary,our study provides new insights into the role of sEV-derived miRNAs in AD and suggests that M1 miRNAs may serve as potential biomarkers for the early diagnosis and monitoring of AD. | Yuzhe Sun Zhen Hefu Benchao Li Wang Lifang Song Zhijie Li Zhou Yan Deng Liu Zhili Jiahong Ding Tao Li Wenwei Zhang Nie Chao Shuang Rong | 2023 | Research2023，，4： | 0 |
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