Clinical implications of DNA ploidy, stroma, and nucleotyping in predicting peritoneal metastasis risk for gastric cancer

DNA 倍体、基质和核型分析在预测胃癌腹膜转移风险中的临床意义

阅读:9
作者:Jingwen Yuan #, Yue Jiang #, Fangfang Chen #, Tian Li, Zhi Zeng, Shasha Ruan, Junfeng Yan, Jiatong Lu, Qiang Li, Jingping Yuan, Qiang Tong

Background

Gastric cancer peritoneal metastasis lacks effective predictive indices. This article retrospectively explored predictive values of DNA ploidy, stroma, and nucleotyping in gastric cancer peritoneal metastasis.

Conclusions

DNA ploidy, stroma, and nucleotyping prove to be predictive factors for peritoneal metastasis, with enhanced predictive efficacy when combined in pairs.

Methods

A comprehensive analysis was conducted on specimens obtained from 80 gastric cancer patients who underwent gastric resection at the Department of Gastrointestinal Surgery of Wuhan University Renmin Hospital. Tumor tissues were sectioned and stained. DNA ploidy, stroma, and nucleotyping were quantified using microscopy and digital analysis software. Data analysis was employed by Pearson Chi-square, continuous correction Chi-square, and binary logistic regression.

Results

Using both univariate and multivariate analysis, pathological T stage and nucleotyping exhibited a positive correlation with peritoneal metastasis. DNA ploidy and stroma showed a positive correlation in univariate analysis. Chi-square tests demonstrated a positive correlation of DNA ploidy, stroma, and nucleotyping with peritoneal metastasis. The combined application of these three indicators displayed heightened predictive value for peritoneal metastasis. Non-diploid status, high stroma, and chromosomal heterogeneity emerged as positive factors for peritoneal metastasis in gastric cancer. Conclusions: DNA ploidy, stroma, and nucleotyping prove to be predictive factors for peritoneal metastasis, with enhanced predictive efficacy when combined in pairs.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。