甲状腺癌
突变
科克伦图书馆
荟萃分析
医学
内科学
相对风险
肿瘤科
突变试验
癌
癌症研究
胃肠病学
生物
甲状腺
基因
置信区间
遗传学
作者
Bojie Chen,Yuan Shi,Yanan Xu,Jing Zhang
摘要
Abstract BRAFV600E mutation is highly prevalent in patients with papillary thyroid carcinoma (PTC), and TERT promoter (TERTp) mutation is strongly associated with cancer‐related mortality. However, predictive power of the two mutations remains inconclusive. We aimed to verify the prognostic effects of both mutations to assess the value of mutation detection for risk stratification in terms of PTC prognosis and tumour invasion, to guide PTC diagnosis and treatment. We conducted a literature search in the MEDLINE (PubMed), EMBASE, Web of Science and CENTRAL (Cochrane library) databases, from inception to February 2020. Basic characteristics, prognoses and clinicopathological features were collected from the included studies for further analysis. Twelve studies involving 4184 PTC patients were enrolled in our analysis. In total, 2412 (57.6%) of the patients carried either BRAFV600E or TERTp mutation, and 290 (6.9%) patients had both mutations. TERTp mutation was more common in patients with BRAFV600E mutation (RR = 1.75 [95% CI 1.44‐2.13]). Patients with both mutations had a worse prognosis compared with those with a single mutation (vs BRAFV600E only: RR = 5.34 [4.20‐6.78] vs TERTp only: RR = 2.12 [1.41‐3.19]). TERTp mutation alone independently increased the risk of a poor prognosis (RR = 2.90 [1.93‐4.35]) in terms of mortality (RR = 15.09 [7.75‐29.37]), disease persistence (RR = 4.00 [2.03‐7.90]), recurrence (RR = 4.34 [4.20‐6.78]), lymph node metastasis (RR = 1.57 [1.24‐1.99]) and distant metastasis (RR = 2.94 [1.13‐7.65]). We found that PTC patients with BRAFV600E mutation were more likely to have TERTp mutation. TERTp mutation was an independent predictive factor for poor prognosis of PTC patients, but the predictive value of BRAFV600E mutation remains inconclusive. Patients with both mutations have remarkably higher risks of adverse outcomes compared with those with a single mutation. PTC patients could benefit from mutation detection for aiding risk stratification (BRAF + TERT+ > BRAF − TERT+ > BRAF + TERT−).
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