Increased serum amyloid A as potential diagnostic marker for lung cancer: a meta-analysis based on nine studies

被引：0
作者：
Rong Biaoxue
Liu Hua
Gao Wenlong
Yang Shuanying
机构：
[1] Xi’an Medical University,Department of Respiratory Medicine, First Affiliated Hospital
[2] Research Center of Prevention and Treatment of Respiratory Disease,Department of Respiratory Medicine
[3] Gansu Provincial Hospital,Department of Statistics and Epidemiology, Medical College
[4] Lanzhou University,Department of Respiratory Medicine, Second Affiliated Hospital
[5] Xi’an Jiaotong University,undefined
来源：
BMC Cancer | / 16卷
关键词：
Serum amyloid A; SAA; Meta-analysis; Lung cancer; Diagnosis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 92 条
[1]  
Siegel RL(2015)Cancer statistics, 2015 CA Cancer J Clin 65 5-29
[2]  
Miller KD(2016)Emerging biomarkers in personalized therapy of lung cancer Adv Exp Med Biol 890 25-36
[3]  
Jemal A(2015)Lung cancer biomarkers, targeted therapies and clinical assays Transl Lung Cancer Res 4 503-514
[4]  
Cagle PT(2011)Identification and validation of SAA as a potential lung cancer biomarker and its involvement in metastatic pathogenesis of lung cancer J Proteome Res 10 1383-1395
[5]  
Raparia K(2015)The prognostic value of serum C-reactive protein-bound serum amyloid A in early-stage lung cancer Chin J Cancer 34 335-349
[6]  
Portier BP(2012)Why do cancer cells produce serum amyloid A acute-phase protein? Biochemistry (Mosc) 77 339-341
[7]  
Patel JN(2014)Serum amyloid A promotes invasion of feline mammary carcinoma cells J Vet Med Sci 76 1183-1188
[8]  
Ersek JL(2013)Progression of non-small cell lung cancer: diagnostic and prognostic utility of matrix metalloproteinase-2, C-reactive protein and serum amyloid A Oncol Rep 29 469-473
[9]  
Kim ES(2003)The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews BMC Med Res Methodol 3 25-766
[10]  
Sung HJ(2012)Differential diagnostic CYFRA 21–1 level for benign and malignant pleural effusions: a meta-analysis in the Chinese population Arch Med Sci 8 756-1787
12345678910