Literature DB >> 28647209

Decreased expression of the ATM gene linked to poor prognosis for gastric cancer of different nationalities in Xinjiang.

Mei Han1, Lanying Ma1, Yanli Qu1, Yong Tang2.   

Abstract

OBJECTIVE: To explore the clinicopathological significance of ATM gene in the occurrence and prognosis of gastric cancer (GC) from different nationalities in Xinjiang.
METHOD: The expression of ATM in 385 patients with GC (including 98 Uygurs, 231 Hans and 56 Kazaks) and its corresponding adjacent tissues were examined by quantitative real-time polymerase chain reaction (qRT-PCR) and immunohistochemistry assay to, analyze its correlations with clinicopathological features and prognosis of GC.
RESULTS: The ATM expression in GC tissues was significantly decreased when compared to that in adjacent normal tissues of Uygur, Han and Kazak patients in Xinjiang, while Uygurs and Kazaks were much lower than Hans in the ATM expression of GC tissues (all P<0.05). Kaplan-Meier analysis showed that Uygur and Kazak patients with ATM-negative tumors had a markedly lower survival rate than patients in Hans (P=0.028), and GC patients with ATM negative expression presented more unfavorable overall survival rate than those with positive expression among the three different nationalities (all P<0.05). Multivariate Cox regression analysis revealed that nationality, ATM expression, TNM staging, depth of invasion, and lymph node metastasis were independent factors affecting the prognosis of GC patients in Xinjiang (all P<0.05).
CONCLUSION: ATM was downregulated in GC patients in Xinjiang, especially for Uygurs and Kazaks, which suggested ATM to be an independent indicator of prognosis for GC therapy.
Copyright © 2017 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Ataxia telangiectasia mutated (ATM); Gastric cancer; Nationalities; Prognosis; Xinjiang

Mesh:

Substances:

Year:  2017        PMID: 28647209     DOI: 10.1016/j.prp.2017.05.012

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  2 in total

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2.  A 21‑gene Support Vector Machine classifier and a 10‑gene risk score system constructed for patients with gastric cancer.

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Journal:  Mol Med Rep       Date:  2019-11-21       Impact factor: 2.952

  2 in total

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