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Tumour Biology : the Journal of the International Society for Oncodevelopmental Biology and Medicine|April 16, 2015
Long noncoding RNAs POLR2E rs3787016 C/T and HULC rs7763881 A/C polymorphisms are associated with decreased risk of esophageal cancerMingqiang Kang, Yonghua Sang, Haiyong Gu, et al.
Journal of Ethnopharmacology|September 29, 2020
Quantitative proteomic profiling of targeted proteins associated with Loki Zupa Decoction Treatment in OVA-Induced asthmatic miceTulake Wuniqiemu, Jingjing Qin, Fangzhou Teng, et al.
Molecular Medicine Reports|September 20, 2021
Cycloastragenol alleviates airway inflammation in asthmatic mice by inhibiting autophagyXueyi Zhu, Yuxue Cao, Mingyue Su, et al.
Diabetes, Obesity & Metabolism|August 20, 2019
Comparison of the urinary glucose excretion contributions of SGLT2 and SGLT1: A quantitative systems pharmacology analysis in healthy individuals and patients with type 2 diabetes treated with SGLT2 inhibitorsTatiana Yakovleva, Victor Sokolov, Lulu Chu, et al.
Medical Oncology (Northwood, London, England)|January 2, 2014
Vitamin D receptor gene polymorphisms and esophageal cancer risk in a Chinese population: a negative studyHaiyong Gu, Xu Wang, Liang Zheng, et al.
European Journal of Cancer Prevention : the Official Journal of the European Cancer Prevention Organisation (ECP)|August 28, 2014
Methyl-CpG binding domain 4 tagging polymorphisms and esophageal cancer risk in a Chinese populationJun Yin, Yijun Shi, Junbo Zuo, et al.
Human Immunology|June 25, 2013
MiR-196a2 rs11614913 T > C polymorphism and risk of esophageal cancer in a Chinese populationJishu Wei, Liang Zheng, Shenghua Liu, et al.
Medical Oncology (Northwood, London, England)|October 11, 2014
Uracil-DNA glycosylase (UNG) rs246079 G/A polymorphism is associated with decreased risk of esophageal cancer in a Chinese populationJun Yin, Yonghua Sang, Liang Zheng, et al.
Clinical Pharmacokinetics|March 31, 2026
Pharmacokinetic Comparability Assessment of Tixagevimab and Cilgavimab Developed for COVID-19 Prevention and Treatment Using Standard Exposure Metrics and Partial Area Under the CurveHuixia Zhang, Weifeng Tang, Samuel Sadow, et al.
Environment International|September 28, 2025
Incorporating maternal metabolome and genome to understand the effects of prenatal phenol exposure on the first 1000-day growth in an exposome-based studyWen Jiang, Xiaoqing He, Azhu Han, et al.
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