| 摘要: |
| ［摘要］ 目的 回顾性分析乳头状胃腺癌的临床病理学特征及预后。方法 研究收集了138例乳头状胃腺癌案例相关临床病理学特征资料并完成随访。采用SPSS23.00软件进行数据统计分析。结果 在手术时年龄、肿瘤部位、分化程度等因素上，乳头状腺癌优势组的表现总体上与乳头状腺癌的总体特征相似。乳头状腺癌优势组患者术后生存时间明显短于非优势组。肿瘤病理类型及pTNM分期是乳头状腺癌患者生存的独立影响因素。多因素生存分析中，病理类型为乳头状腺癌优势组可能与患者死亡有关。结论 乳头状胃腺癌被认为是预后较差的胃癌分型，其临床病理特征及预后需要进行多案例、多中心的临床研究，根据病理类型为患者提供更精准、有效的医疗服务。 |
| 关键词: 胃癌 乳头状腺癌 临床病理特征 预后 |
| DOI：10.3969/j.issn.1674-3806.2019.11.01 |
| 分类号:R 735.2 |
| 基金项目: |
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| Papillary gastric adenocarcinoma—an retrospective analysis of 138 cases |
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WANG Xin-yu, ZHAO Wei, GU Peng-fei, et al.
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Department of Gastric Oncology, the Affiliated Tumor Hospital of Tianjin Medical University, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin Clinical Medicine Research Center for Malignant Tumors, Tianjin 300060,China
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| Abstract: |
| ［Abstract］ Objective To retrospectively analyze the clinicopathological characteristics and prognosis of papillary gastric adenocarcinoma(PGC). Methods One hundred and thirty-eight cases of PGC were collected and followed up. SPSS23.00 software was used for analyzing the related clinicopathological data. Results In age at surgery, tumor location, differentiation degree and other factors, the advantage PGC group showed generally similar features to those of papillary adenocarcinoma. The postoperative survival time of the advantage PGC group was significantly shorter than that of the non-advantage PGC group. Pathological types and pTNM stages were the independent factors of survival for the patients with PGC, and the advantage PGC group might be associated with death in the patients with PGC in a multifactorial survival analysis. Conclusion PGC is considered to have a poor prognosis among gastric cancer types. Its clinicopathological characteristics and prognosis need to be studied in multiple cases and centers. More accurate and effective medical services should be provided for PGC patients according to their pathological types. |
| Key words: Gastric carcinoma Papillary adenocarcinoma Clinicopathological characteristics Prognosis |
