一期至三期胃癌患者肿瘤标志物的预后价值和预测模型。

IF 2.6 Q3 ONCOLOGY World journal of clinical oncology Pub Date : 2024-08-24 DOI:10.5306/wjco.v15.i8.1033
Ai-Hua Sun, Xin-Yu Zhang, Yang-Yang Huang, Lei Chen, Qing Wang, Xiao-Cong Jiang
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引用次数: 0

摘要

背景:术前血清肿瘤标志物已广泛应用于胃癌患者的诊断和治疗。然而,很少有研究通过建立多种血清肿瘤指标的统计模型来评估胃癌患者的预后。目的:探讨肿瘤标志物在I期和III期胃癌患者中的预后价值和预测模型。方法:1:2018年10月至2020年4月,我院共纳入1236例I期至III期胃癌术后患者进行研究。分析血清肿瘤标志物与临床和病理数据之间的关系。根据 COX 回归分析的结果,我们建立了预测胃癌预后的统计模型。我们还比较了不同分期胃癌的总生存率(OS):随访截止日期为 2023 年 5 月 31 日。我们的研究共纳入了 1236 名患者。单变量分析发现,年龄、临床分期、T 期和 N 期、肿瘤位置、分化程度、Borrmann 型、肿瘤大小和四种血清肿瘤标志物是 OS 的预后因素(P < 0.05)。研究表明,临床分期、肿瘤大小、甲胎蛋白、癌胚抗原、CA125和CA19-9(P<0.05)是OS的独立预后因素。根据统计模型得出的评分结果,我们发现高分患者的生存时间较短(P < 0.05)。此外,在 I 期患者中,0-3 分的 3 年生存率分别为 96.85%、95%、85% 和 80%。在 II 期患者中,0-4 分的 3 年生存率分别为 88.6%、76.5%、90.5%、65.5% 和 60%。在 III 期患者中,0-6 分的 3 年生存率分别为 70.9%、68.3%、64.1%、50.9%、38.4%、18.5% 和 5.2%。我们还分析了不同评分患者的平均生存期。I 期患者的平均生存期为 55.980 个月。II 期患者的平均生存期为 51.550 个月。结论:结论:我们的统计模型能有效预测胃癌患者的预后。
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Prognostic value and predictive model of tumor markers in stage I to III gastric cancer patients.

Background: Preoperative serum tumor markers have been widely used in the diagnosis and treatment of gastric cancer patients. However, few studies have evaluated the prognosis of gastric cancer patients by establishing statistical models with multiple serum tumor indicators.

Aim: To explore the prognostic value and predictive model of tumor markers in stage I and III gastric cancer patients.

Methods: From October 2018 to April 2020, a total of 1236 patients with stage I to III gastric cancer after surgery were included in our study. The relationship between serum tumor markers and clinical and pathological data were analyzed. We established a statistical model to predict the prognosis of gastric cancer based on the results of COX regression analysis. Overall survival (OS) was also compared across different stages of gastric cancer.

Results: The deadline for follow-up was May 31, 2023. A total of 1236 patients were included in our study. Univariate analysis found that age, clinical stage, T and N stage, tumor location, differentiation, Borrmann type, size, and four serum tumor markers were prognostic factors of OS (P < 0.05). It was shown that clinical stage, tumor size, alpha foetoprotein, carcinoembryonic antigen, CA125 and CA19-9 (P < 0.05) were independent prognostic factors for OS. According to the scoring results obtained from the statistical model, we found that patients with high scores had poorer survival time (P < 0.05). Furthermore, in stage I patients, the 3-year OS for scores 0-3 ranged from 96.85%, 95%, 85%, and 80%. In stage II patients, the 3-year OS for scores 0-4 were 88.6%, 76.5%, 90.5%, 65.5% and 60%. For stage III patients, 3-year OS for scores 0-6 were 70.9%, 68.3%, 64.1%, 50.9%, 38.4%, 18.5% and 5.2%. We also analyzed the mean survival of patients with different scores. For stage I patients, the mean OS was 55.980 months. In stage II, the mean OS was 51.550 months. The mean OS for stage III was 39.422 months.

Conclusion: Our statistical model can effectively predict the prognosis of gastric cancer patients.

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期刊介绍: The WJCO is a high-quality, peer reviewed, open-access journal. The primary task of WJCO is to rapidly publish high-quality original articles, reviews, editorials, and case reports in the field of oncology. In order to promote productive academic communication, the peer review process for the WJCO is transparent; to this end, all published manuscripts are accompanied by the anonymized reviewers’ comments as well as the authors’ responses. The primary aims of the WJCO are to improve diagnostic, therapeutic and preventive modalities and the skills of clinicians and to guide clinical practice in oncology. Scope: Art of Oncology, Biology of Neoplasia, Breast Cancer, Cancer Prevention and Control, Cancer-Related Complications, Diagnosis in Oncology, Gastrointestinal Cancer, Genetic Testing For Cancer, Gynecologic Cancer, Head and Neck Cancer, Hematologic Malignancy, Lung Cancer, Melanoma, Molecular Oncology, Neurooncology, Palliative and Supportive Care, Pediatric Oncology, Surgical Oncology, Translational Oncology, and Urologic Oncology.
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