Li Wei, Li Na, Kang Xinmei, Shi Ke, Chen Qiong
Department of Geriatrics, Xiangya Hospital of Central South University, Changsha, Hunan Province, People's Republic of China.
Department of Pathology, The First Affiliated Hospital of Hunan University of Medicine, Huaihua, Hunan Province, People's Republic of China.
Oncotarget. 2017 Jul 11;8(35):59563-59569. doi: 10.18632/oncotarget.19166. eCollection 2017 Aug 29.
Human Homeobox A transcript at the distal tip (HOTTIP) is a putative oncogene in solid tumors. We performed a meta-analysis to investigate the association between HOTTIP expression and clinical outcomes in cancer patients. Eligible studies were collected from a literature search of the online electronic databases of Embase, Web of Science, PubMed and the China National Knowledge Infrastructure (up to January 2, 2017). Fixed-effects models were used to compute pooled odds ratios (ORs) and hazard ratios (HRs). In total, we analyzed nine studies that included 800 patients with seven tumor types. Overall survival was lower for patients with high HOTTIP expression than for those with low expression (HR = 2.30, 95% confidence interval [CI]: 1.81-2.91, < 0.001). High HOTTIP expression was also associated with lymph node metastasis (OR = 2.40, 95% CI: 1.70-3.37, < 0.001), distant metastasis (OR = 3.30, 95% CI: 1.78-6.12, < 0.001), poor tumor differentiation (OR = 1.55, 95% CI: 1.03-2.32, = 0.036) and a poor clinical stage (OR = 3.28, 95% CI: 2.22-4.83, < 0.001). This meta-analysis demonstrated that high HOTTIP expression in cancer patients is associated with poor clinical outcomes. Thus, HOTTIP is a potential predictive biomarker of cancer.
人类同源盒A转录本远端末端(HOTTIP)是实体瘤中的一种假定致癌基因。我们进行了一项荟萃分析,以研究HOTTIP表达与癌症患者临床结局之间的关联。通过检索Embase、Web of Science、PubMed和中国知网(截至2017年1月2日)的在线电子数据库收集符合条件的研究。采用固定效应模型计算合并比值比(OR)和风险比(HR)。我们总共分析了9项研究,包括800例患有7种肿瘤类型的患者。HOTTIP高表达患者的总生存期低于低表达患者(HR = 2.30,95%置信区间[CI]:1.81 - 2.91,P < 0.001)。HOTTIP高表达还与淋巴结转移(OR = 2.40,95% CI:1.70 - 3.37,P < 0.001)、远处转移(OR = 3.30,95% CI:1.78 - 6.12,P < 0.001)、肿瘤低分化(OR = 1.55,95% CI:1.03 - 2.32,P = 0.036)和临床分期差(OR = 3.28,95% CI:2.22 - 4.83,P < 0.001)相关。这项荟萃分析表明,癌症患者中HOTTIP高表达与不良临床结局相关。因此,HOTTIP是一种潜在的癌症预测生物标志物。