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1.
Cancer Research on Prevention and Treatment ; (12): 679-685, 2021.
Article in Chinese | WPRIM | ID: wpr-988430

ABSTRACT

Objective To investigate the expression of MPZL1 in gastric cancer tissues, its relation with the prognosis, and its effects on proliferation and colony formation of gastric cancer. Methods GEPIA and UALCAN databases were used to analyze the expression of MPZL1 in various malignant tumors. The KM Plotter database and UALCAN database were used to analyze the effect of MPZL1 on the overall survival of gastric cancer patients. The expression of MPZL1 protein and the changes of apoptosis-related proteins in gastric cancer cells were detected by Western blot, and the effects of MPZL1 expression on cell proliferation and colony formation were detected by CCK-8 and colony formation assay, respectively. Results MPZL1 was found to be highly expressed in various malignant tumors by GEPIA database. The results of UALCAN and KM Plotter databases analysis showed that MPZL1 was highly expressed in gastric cancer tissues, and might be correlated with the overall survival of gastric cancer patients. The results of CCK-8 and colony formation assay showed that the overexpression of MPZL1 promoted the proliferation and colony formation ability of gastric cancer cells (P < 0.05). Western blot results showed that compared with control group, the expression levels of pro-apoptotic proteins Bad and Caspase-7 in the overexpression group were significantly lower while those in knockdown group were higher. Conclusion MPZL is highly expressed in gastric cancer tissues and promotes the proliferation and colony formation of gastric cancer cells, which may be related to the inhibition of apoptosis.

2.
China Oncology ; (12): 7-13, 2017.
Article in Chinese | WPRIM | ID: wpr-508089

ABSTRACT

Background and purpose:Promoter methylation ofPCDH10, a gene encoding protocadherin 10, has been found to be correlated to poor prognosis in gastric cancer (GC) patients. However, the relationship between the expression of PCDH10 and prognosis in GC remained unknown. This study aimed to explore the relationship be-tween the expression of PCDH10 and clinicopathological features and prognosis of GC, and to identify biomarker for predictions of recurrence and survival of GC.Methods:mRNA expressions of PCDH10 in 115 pairs of GC tissues and adjacent normal tissues were detected by real-time lfuorescence quantitative polymerase chain reaction (RTFQ-PCR). The correlation between PCDH10 expression level and clinicopathological features and prognosis of GC was analyzed. Prediction models for 5-year recurrence and 5-year survival were established using logistic regression method.Results:Progression-free survival (PFS) and overall survival (OS) were signiifcantly prolonged in patients with PCDH10 low expression compared to patients without PCDH10 low expression (P=0.046 andP=0.033 respectively). PCDH10 low expression signiifcantly correlated with less lymph node metastasis (P=0.001) and earlier TNM staging (P=0.001), and was more common in female than in male (P=0.040). The mRNA expression of PCDH10 did not correlate with age, Lauren classiifcation, T stage, neural invasion or vascular invasion. Univariate Cox analysis showed Lauren classiifca-tion, T stage, N stage, M stage and PCDH10 expression signiifcantly correlated with PFS and OS. Logistic regression models for the prediction of 5-year recurrence or 5-year survival based on clinicopathological features included Lauren classiifcation, T stage, N stage and M stage as variables. Logistic regression models for the prediction of 5-year recur-rence or 5-year survival based on PCDH10 expression included Lauren classiifcation, T stage, M stage and PCDH10 expression level but not N stage as variables. The models based on PCDH10 expression had the same effciencies as models based on clinical parameters in predicting 5-year recurrence or 5-year survival for GC patients.Conclusion:PCDH10 low expression correlated with better prognosis, less lymph node metastasis and earlier TNM stage in GC patients. Low expression of PCDH10 may be a biomarker of better survival for GC patients. Logistic regression model based on PCDH10 mRNA expression may serve as a prediction model when patients have unknown lymph node metas-tasis status.

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