Literature DB >> 25108737

Low-frequency microsatellite instability in genomic di-nucleotide sequences correlates with lymphatic invasion and poor prognosis in gastric cancer.

Yan Zhao1, Zhi-Chao Zheng, Ya-Hong Luo, Hao-Zhe Piao, Guo-Liang Zheng, Jing-Yi Shi, Tao Zhang, Jian-Jun Zhang.   

Abstract

The clinical significance of low-frequency microsatellite instability (MSI-L) in gastric cancer (GC) has not been well established. The aim of this study was to evaluate the clinicopathological features of MSI-L in GC. We investigated microsatellite instability (MSI) in 5 di-nucleotide repeat sequences in 210 unselected GC patients. High-resolution fluorescent microsatellite analysis assay was utilized to detect MSI. Clinicopathological variables were compared among groups with different microsatellite statuses. The overall survival (OS) was analyzed by Kaplan-Meier method. Multivariable analysis was performed to identify prognostic factors and variables correlated with lymph node metastasis. High-frequency microsatellite instability (MSI-H), MSI-L, and microsatellite stable were identified, respectively, in 10.5, 10.0, and 79.5% of unselected GC cases. Tumors with MSI-H were less invasive, and these patients showed a better OS. MSI-L was correlated with more advanced tumor Node Metastasis stage, and more frequent lymph node metastasis. The unfavorable prognosis predicted by MSI-L was ascribed to its correlation with lymphatic invasion. MSI-L characterized by di-nucleotide markers represents a distinct subcategory of GC with aggressive clinicopathological features, which are particularly affiliated to lymphatic system and correlated with a poor prognosis. MSI-L could be beneficial for predicting the clinical outcome of GC.

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Year:  2015        PMID: 25108737     DOI: 10.1007/s12013-014-0189-9

Source DB:  PubMed          Journal:  Cell Biochem Biophys        ISSN: 1085-9195            Impact factor:   2.194


  2 in total

1.  Detection of microsatellite instability in gastric cancer and dysplasia tissues.

Authors:  Bing Li; Hong-Yi Liu; Shao-Hua Guo; Peng Sun; Fang-Ming Gong; Bao-Qing Jia
Journal:  Int J Clin Exp Med       Date:  2015-11-15

2.  Investigation of an Alternative Marker for Hypermutability Evaluation in Different Tumors.

Authors:  Anqi Chen; Suhua Zhang; Lei Xiong; Shihan Xi; Ruiyang Tao; Chong Chen; Jixi Li; Jinzhong Chen; Chengtao Li
Journal:  Genes (Basel)       Date:  2021-01-29       Impact factor: 4.096

  2 in total

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