• Dépistage, diagnostic, pronostic

  • Essais de technologies et de biomarqueurs dans un contexte clinique

  • Estomac

A Golgi specific protein PAQR3 is closely associated with the progression, metastasis and prognosis of human gastric cancers

Menée sur 300 patients atteints d'un cancer de l'estomac, cette étude chinoise met en évidence une association entre le niveau d'expression de PAQR3, une protéine spécifiquement localisée dans l'appareil de Golgi, et la progression tumorale, la survenue de métastases ou le pronostic de la maladie

Background : The aim of this study is to determine if PAQR3, a protein specifically localized in the Golgi apparatus, is associated with tumor progression, metastasis and survival of human patients with gastric cancer.

Patients and Methods : PAQR3 expression status was investigated in a large panel of gastric cancer (n=300) and their corresponding para-cancerous histological normal tissues (PCHNT) at both mRNA and protein levels. The correlation of PAQR3 expression levels with clinical features such as metastasis and prognosis was analyzed. The effect of PAQR3 on the growth and migration of gastric cancer cells was also determined.

Results : PAQR3 was frequently down-regulated in gastric cancer samples compared with PCHNT at both mRNA and protein levels (both P<0.0001). The expression level of PAQR3 was negatively correlated with H. pylori infection (P<0.0001), tumor size (P<0.0001), tumor stage (P<0.0001), venous and lymphatic invasion (P<0.0001), distant and nodal metastasis (P<0.0001), and patient survival (P<0.0001). Downregulation of PAQR3 was highly correlated with increased epithelial-mesenchymal transition (EMT) in gastric cancer samples. In addition, PAQR3 overexpression was able to negatively modulate cell proliferation, migration and EMT of gastric cancer cells.

Conclusion : PAQR3 is markedly downregulated in human gastric cancers. PAQR3 expression level is closely associated with the progression and metastasis of gastric cancers. PAQR3 is also a new genetic signature that can predict the prognosis of the patients with gastric cancer.

Annals of Oncology , résumé, 2014

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