Systematically Prognostic Analyses of Gastric Cancer Patients with Ovarian Metastasis.

IF 1.4 4区生物学 Q4 GENETICS & HEREDITY Genetics research Pub Date : 2023-01-01 DOI:10.1155/2023/9923428

Peng Peng, Xiuyuan Liu, Lin Yang, Zhenguang Gu, Lin Cai

引用次数: 0

Abstract

Ovarian metastasis of gastric cancer indicates that the disease has reached the late stage and the opportunity for radical surgery is restricted. However, the clinical characteristics and prognosis of patients with gastric cancer ovarian metastasis (GCOM) remain to be illustrated. Here, we retrieved the information of 780 GCOM cases from the Surveillance, Epidemiology, and End Results (SEERs) database and analyzed their clinicopathological characteristics as well as their survival. According to our data, most GCOM patients showed poor pathological differentiation, advanced T and N stages. The prognostic factors include patients' age, tumor size, surgical resection, and chemotherapy treatment. Of note, the marriage status was also identified as an independent prognostic factor. Besides the identification of prognostic factors, we established nomograms to help predict the overall survival and cancer-specific survival of GCOM, respectively.

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胃癌合并卵巢转移患者的系统预后分析。

胃癌卵巢转移提示疾病已进入晚期，根治性手术机会受限。然而，胃癌卵巢转移(GCOM)患者的临床特点和预后尚不清楚。在此，我们从监测、流行病学和最终结果(SEERs)数据库中检索了780例GCOM病例的信息，并分析了他们的临床病理特征和生存情况。根据我们的资料，大多数GCOM患者病理分化差，T和N分期较晚。预后因素包括患者年龄、肿瘤大小、手术切除及化疗情况。值得注意的是，婚姻状况也被确定为一个独立的预后因素。除了确定预后因素外，我们还建立了nomogram来帮助预测GCOM的总生存期和癌症特异性生存期。

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来源期刊

Genetics research 生物-遗传学

自引率

6.70%

发文量

审稿时长

>12 weeks

期刊介绍： Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.