Yang Min, Zeng Lin, Hou Sheng-Zhong, Ke Neng-Wen, Tian Bo-le, Liu Xu-Bao, Xiang Bo, Zhang Yi
Department of Pediatric Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
President & Dean's Office, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
J Oncol. 2020 Sep 15;2020:6572398. doi: 10.1155/2020/6572398. eCollection 2020.
Data of patients who were surgically treated and clinicopathologically diagnosed as (MH)-NENs secondary to (GEP)-NENs at West China Hospital of Sichuan University from January 2006 to December 2018 were retrospectively collected and analyzed by the grading classification for (GEP)-NENs.
We identified 150 patients with (MH)-NENs secondary to (GEP)-NENs, including 10 patients with G1 NETs, 26 with G2 NETs, 33 with G3 NETs, and 81 with G3 NECs. There were significant differences between patients with G1/G2/G3 NETs and those with G3 NECs, such as age at diagnosis (=0.041), synchronous liver lesion (=0.032), incidental diagnosis (=0.014), tumor largest diameter (=0.047), vascular invasion (=0.017), and extrahepatic metastatic disease (=0.029). The estimated 3-year overall survival for patients with G1 NETs, G2 NETs, G3 NETs, and G3 NECs was 100%, 79.4%, 49.5%, and 20.7%, respectively ( < 0.001). The survival of G1 NETs or G2 NETs was significantly better than that of G3 NETs (=0.013, =0.037, respectively) and G3 NECs (=0.001, < 0.001; respectively). Patients with G3 NECs present notably worse survival than those with G3 NETs (=0.012), while survival comparison between G1 NETs and G2 NETs was not statistically different (=0.131). The grading classification for (GEP)-NENs was an effective independent predictor of survival for (MH)-NENs secondary to (GEP)-NENs (hazard ratio: 4.234; 95% confidence intervals: 1.984-6.763; =0.003).
Our demonstration revealed that the grading classification for (GEP)-NENs could well stratify (MH)-NENs secondary to (GEP)-NENs into prognostic groups and supported its wide use in clinical practice.
回顾性收集2006年1月至2018年12月在四川大学华西医院接受手术治疗并经临床病理诊断为继发于胃肠胰神经内分泌肿瘤(GEP-NENs)的肝转移神经内分泌肿瘤(MH-NENs)患者的数据,并根据GEP-NENs的分级分类进行分析。
我们确定了150例继发于GEP-NENs的MH-NENs患者,其中10例为G1级神经内分泌瘤(NETs),26例为G2级NETs,33例为G3级NETs,81例为G3级神经内分泌癌(NECs)。G1/G2/G3级NETs患者与G3级NECs患者之间存在显著差异,如诊断年龄(=0.041)、同时性肝转移(=0.032)、偶然诊断(=0.014)、肿瘤最大直径(=0.047)、血管侵犯(=0.017)和肝外转移疾病(=0.029)。G1级NETs、G2级NETs、G3级NETs和G3级NECs患者的3年总生存率估计分别为100%、79.4%、49.5%和20.7%(<0.001)。G1级NETs或G2级NETs的生存率显著高于G3级NETs(分别为=0.013、=0.037)和G3级NECs(分别为=0.001、<0.001)。G3级NECs患者的生存率明显低于G3级NETs患者(=0.012),而G1级NETs和G2级NETs之间的生存率比较无统计学差异(=0.131)。GEP-NENs的分级分类是继发于GEP-NENs的MH-NENs生存的有效独立预测因素(风险比:4.234;95%置信区间:1.984-6.763;=0.003)。
我们的研究表明,GEP-NENs的分级分类可以很好地将继发于GEP-NENs的MH-NENs分为不同的预后组,并支持其在临床实践中的广泛应用。