// <![CDATA[ $('.header-date').hide();$('#titleAuthors').hide();$('#abstractHeader').hide(); // ]]> Dan Nie1, Lingping Zhang2, Qian Guo1 and Xiguang Mao1 1Department of Gynecology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China 2Department of Neonatology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People’s Republic of China Correspondence to: Dan Nie, email: niedan@swmu.edu.cn Keywords: high-mobility group protein A; prognosis; meta-analysis Received: July 29, 2017 Accepted: November 17, 2017 Published: December 04, 2017 ABSTRACT Overexpression of the high mobility group protein A2 (HMGA2), an architectural transcription factor, has been linked to poor prognosis in many malignancies, although this remains controversial. Herein, we conducted a meta-analysis to investigate whether HMGA2 has prognostic value, and evaluated the association between HMGA2 and clinicopathologic factors in malignancies. A total of 29 studies involving 4114 patients were included in this meta-analysis. The pooled results demonstrated that elevated HMGA2 predicted a poor overall survival (OS) (hazard ratio [HR] = 1.82; 95% confidence interval [CI] = 1.62–2.05; P < 0.001) and disease-free survival/progression-free survival/recurrence-free survival (HR = 1.94; 95% CI = 1.27–2.98; P = 0.002). Subgroup analysis conducted by study region, sample size, detection method, and analysis method indicated that HMGA2 overexpression correlated with poor OS. Furthermore, HMGA2 overexpression was found to be linked to poor OS in various cancers except ovarian cancer (pooled HR = 1.14; 95% CI = 0.62–2.09; P = 0.673). High HMGA2 expression level also correlated with advanced TNM stage (OR = 2.44; 95% CI =1.87–3.2; P < 0.001), lymphovascular invasion (OR = 2.46, 95% CI = 1.67–3.64; P < 0.001), distant metastasis (OR = 2.66; 95% CI =1.51–4.69; P < 0.001), and lymph node metastasis (OR = 1.83; 95% CI =1.27–2.64; P = 0.001). In conclusion, HMGA2 overexpression indicates a worse prognosis and may serve as a prognostic predictor in cancer patients.