Predictors of Outcomes in Gastric Neuroendocrine Tumors: A Retrospective Cohort.

IF 2.6 3区 农林科学 Q1 Agricultural and Biological Sciences Scientia Agricola Pub Date : 2023-07-14 eCollection Date: 2024-08-01 DOI:10.1159/000530684
Raquel Ortigão, Luís Pedro Afonso, Pedro Pimentel-Nunes, Mário Dinis-Ribeiro, Diogo Libânio
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Abstract

Introduction/aim: Gastric neuroendocrine tumors (GNETs) frequently have an indolent clinical course, despite their metastatic potential. The aim of the study was to identify prognostic factors associated with overall survival and risk of metastases and to evaluate the impact of serial measurements of chromogranin A (CgA).

Methods: The authors performed a retrospective cohort study including consecutive patients with GNET diagnosed between 2010 and 2019, with a minimum follow-up of 1 year. Univariate and multivariate analyses were performed.

Results: We included 132 patients with GNET (type I, 113 patients; type II, 1 patient; type III, 14 patients; type IV, 2 patients; not classifiable, 2 patients), with 61% being female and a mean age at diagnosis of 66 years. During the follow-up period (median 66 months), 3 (2.3%) patients died due to metastatic disease (1 patient with type III and 2 patients with type IV). Male gender (p = 0.030), type III/IV (p < 0.001), Ki-67 index >20% (p < 0.001), grade 2/3 (p < 0.001), invasion beyond the submucosa (p < 0.001), and presence of metastases (p < 0.001) were identified as risk factors for mortality in the univariate analysis. Metastasis developed in 7 patients (5.3%). Multivariable analysis revealed that Ki-67 >20% (p = 0.016) was an independent risk factor for metastasis. Overall, CgA showed a sensitivity of 20% for detection of recurrence and a specificity of 79% (sensitivity of 8% and specificity of 71% in type I GNETs).

Conclusion: Identification of risk factors for the presence of metastases and for mortality in these groups of patients can help in individualizing the therapeutic strategy. CgA seems to be a weak marker for monitoring patients with GNET.

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胃神经内分泌肿瘤的预后因素:回顾性队列
引言/目的:胃神经内分泌肿瘤(GNETs)尽管具有转移潜能,但其临床病程往往比较缓慢。该研究旨在确定与总生存期和转移风险相关的预后因素,并评估连续测量嗜铬粒蛋白A(CgA)的影响:作者开展了一项回顾性队列研究,研究对象包括2010年至2019年期间确诊的GNET连续患者,随访时间至少1年。进行了单变量和多变量分析:我们纳入了132名GNET患者(I型,113人;II型,1人;III型,14人;IV型,2人;无法分类,2人),其中61%为女性,诊断时的平均年龄为66岁。在随访期间(中位数为 66 个月),3 名患者(2.3%)因转移性疾病死亡(1 名 III 型患者和 2 名 IV 型患者)。在单变量分析中,男性(p = 0.030)、III/IV 型(p < 0.001)、Ki-67 指数 >20% (p < 0.001)、2/3 级(p < 0.001)、粘膜下层以外的侵犯(p < 0.001)和转移灶的存在(p < 0.001)被确定为死亡的风险因素。7名患者(5.3%)发生了转移。多变量分析显示,Ki-67>20%(p = 0.016)是转移的独立风险因素。总体而言,CgA检测复发的敏感性为20%,特异性为79%(I型GNET的敏感性为8%,特异性为71%):结论:确定这些患者群体中出现转移和死亡的风险因素有助于制定个性化的治疗策略。CgA似乎是监测GNET患者的弱标记物。
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来源期刊
Scientia Agricola
Scientia Agricola 农林科学-农业综合
CiteScore
5.10
自引率
3.80%
发文量
78
审稿时长
18-36 weeks
期刊介绍: Scientia Agricola is a journal of the University of São Paulo edited at the Luiz de Queiroz campus in Piracicaba, a city in São Paulo state, southeastern Brazil. Scientia Agricola publishes original articles which contribute to the advancement of the agricultural, environmental and biological sciences.
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Combining deep learning and X-ray imaging technology to assess tomato seed quality Initial performance and genetic diversity of coffee trees cultivated under contrasting altitude conditions Charting new sustainable agricultural innovation pathways in Brazil Predictors of Outcomes in Gastric Neuroendocrine Tumors: A Retrospective Cohort. AgroReg: main regression models in agricultural sciences implemented as an R Package
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