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3篇 您的检索式：作者名="Zhaolian Lu"

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		题名	作者	年代	出处	被引量
	1	Study on degradation mechanism of aniline solution by potassium ferrate显示文摘研究了高铁酸钾投加量、初始pH及苯胺初始浓度对苯胺降解效果的影响。结果表明,苯胺废水的COD去除率照高铁酸钾投加量和苯胺初始浓度的增大而升高,而初始pH对COD去除率影响不明显。对高铁酸钾降解苯胺废水后的产物进行了气相色谱/质谱(GC/MS)分析,在此基础上详细探讨了高铁酸钾降解苯胺的机制。	Ye Zhaolian Sun Xiao Zheng Lu Hou Huiqi	2009	环境污染与防治2009，31，4：	7
	2	Prevalence of polycystic ovary syndrome in women in China: a large community-based study显示文摘	Rong Li Qiufang Zhang Dongzi Yang Shangwei Li Shulan Lu Xiaoke Wu Zhaolian Wei Xueru Song Xiuxia Wang Shuxin Fu Jinfang Lin Yimin Zhu Yong Jiang Huai L. Feng Jie Qiao	2013	Human Reproduction2013，，9：	4
	3	Delineating the longitudinal tumor evolution using organoid models显示文摘Cancer is an evolutionary process fueled by genetic or epigenetic alterations in the genome.Understanding the evolutionary dynamics that are operative at different stages of tumor progression might inform effective strategies in early detection,diagnosis,and treatment of cancer.However,our understanding on the dynamics of tumor evolution through time is very limited since it is usually impossible to sample patient tumors repeatedly.The recent advances in in vitro 3D organoid culture technologies have opened new avenues for the development of more realistic human cancer models that mimic many in vivo biological characteristics in human tumors.Here,we review recent progresses and challenges in cancer genomic evolution studies and advantages of using tumor organoids to study cancer evolution.We propose to establish an experimental evolution model based on continuous passages of patient-derived organoids and longitudinal sampling to study clonal dynamics and evolutionary patterns over time.Development and integration of population genetic theories and computational models into time-course genomic data in tumor organoids will help to pinpoint the key cellular mechanisms underlying cancer evolutionary dynamics,thus providing novel insights on therapeutic strategies for highly dynamic and heterogeneous tumors.	Zhaolian Lu Beina Nie Weiwei Zhai Zheng Hu	2021	Journal of Genetics and Genomics2021，48，7：	0

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