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Expression of JWA and XRCC1 as prognostic markers for gastric cancer recurrence.

Authors :
Wang W
Yang J
Yu Y
Deng J
Zhang H
Yao Q
Fan Y
Zhou Y
Source :
International journal of clinical and experimental pathology [Int J Clin Exp Pathol] 2020 Dec 01; Vol. 13 (12), pp. 3120-3127. Date of Electronic Publication: 2020 Dec 01 (Print Publication: 2020).
Publication Year :
2020

Abstract

Gastric cancer is one of the common gastrointestinal tumors. Tumor recurrence leads to a high death rate of gastric cancer. It is very important to find markers to effectively predict gastric cancer recurrence. We constructed a gastric cancer tissue microarray containing 89 tumors and corresponding normal tissues to explore the relationship between some proteins' expression and gastric cancer recurrence. The expression of JWA, Cullin1, p53, XRCC1, CHIP, FAK, MMP-2, MDM2 and p21 was determined on the microarray by immunohistochemistry. The relationship between the expression of these proteins and gastric cancer recurrence was analyzed. Tumor diameter, lymph node metastasis, and TNM stage were closely related with gastric cancer recurrence by Fisher's exact test (P<0.05). We used the univariate Cox regression analysis to find that JWA, XRCC1 were related to gastric cancer recurrence (P<0.05); Lymph node metastasis and TNM stage were closely related to gastric cancer recurrence (P<0.05). Multivariate Cox regression analysis revealed that XRCC1 or lymph node metastasis were independent risk factors of gastric cancer recurrence (P<0.05). Kaplan-Meier survival curve assay indicated that patients with low JWA or XRCC1 expression in gastric cancer had significantly shorter DFS than those with high-expressed proteins (P<0.05). JWA or XRCC1 may be effective markers to predict gastric cancer recurrence.<br />Competing Interests: None.<br /> (IJCEP Copyright © 2020.)

Details

Language :
English
ISSN :
1936-2625
Volume :
13
Issue :
12
Database :
MEDLINE
Journal :
International journal of clinical and experimental pathology
Publication Type :
Academic Journal
Accession number :
33425112