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1.
Chin Med J (Engl) ; 128(4): 545-9, 2015 Feb 20.
Artigo em Inglês | MEDLINE | ID: mdl-25673461

RESUMO

BACKGROUND: Overexpression of G-protein coupled receptor 34 (GPR34) affects the progression and prognosis of human gastric adenocarcinoma, however, the role of GPR34 in gastric cancer development and progression has not been well-determined. The current study aimed to investigate the effect of GPR34 knockdown on the proliferation, migration, and apoptosis of HGC-27 gastric cancer cells and the underlying mechanisms. METHODS: The expression of GPR34 in gastric cancer cell line HGC-27 was detected by quantitative real-time reverse transcription-polymerase chain reaction (RT-PCR) and Western blotting. HGC-27 cells were employed to construct the stable GPR34 knockdown cell model in this study. Real-time RT-PCR and Western blotting were applied to validate the effect of short hairpin RNA (ShRNA) on the expression of GPR34 in HGC-27 gastric cells. The proliferation, migration of these cells were examined by Cell Counting Kit-8 and transwell. We also measured expression profile of PI3K/PDK1/AKT and ERK using Western blotting. RESULTS: The ShRNA directed against GPR34 effectively inhibited both endogenous mRNA and protein expression levels of GPR34, and significantly down-regulated the expression of PIK3CB (P < 0.01), PIK3CD (P < 0.01), PDK1 (P < 0.01), phosphorylation of PDK1 (P < 0.01), Akt (P < 0.01), and ERK (P < 0.01). Furthermore, GPR34 knockdown resulted in an obvious reduction in HGC-27 cancer cell proliferation and migration activity (P < 0.01). CONCLUSIONS: GPR34 knockdown impairs the proliferation and migration of HGC-27 gastric cancer cells in vitro and provides a potential implication for therapy of gastric cancer.


Assuntos
Receptores de Lisofosfolipídeos/metabolismo , Neoplasias Gástricas/metabolismo , Apoptose/genética , Apoptose/fisiologia , Western Blotting , Linhagem Celular Tumoral , Proliferação de Células/genética , Proliferação de Células/fisiologia , Humanos , RNA Interferente Pequeno/genética , Reação em Cadeia da Polimerase em Tempo Real , Receptores de Lisofosfolipídeos/genética , Neoplasias Gástricas/genética
2.
Hepatogastroenterology ; 58(110-111): 1718-24, 2011.
Artigo em Inglês | MEDLINE | ID: mdl-21940340

RESUMO

BACKGROUND/AIMS: Hepatocellular carcinoma (HCC) is a prevalent malignant tumor. Tumor markers are very useful in early diagnosis; however a single marker is rather limited. We launched a test to increase the diagnostic sensitivity through the combined detection. METHODOLOGY: Serum concentration of three tumor-markers, Glypican-3 (GPC-3), Human-Cervical-Cancer-Oncogene (HCCR) and a-fetoprotein (AFP), were determined in 189 samples: 101 cases of HCC, 40 cases of cirrhosis, 18 cases of hepatitis and 30 cases of control healthy donors. Every marker was evaluated for its diagnostic value by one-way-analysis-of-variance and receiver-operating-characteristics analysis. RESULTS: GPC-3 was the best marker with an area under the curve (AUC) of 0.892; using 26.8ng/mL as the cut-off for HCC diagnosis, GPC-3 has a sensitivity of 51.5% and maintains a specificity of 92.8%. HCCR, with an AUC of 0.831, can reach a sensitivity of 22.8% and maintain a specificity of 90.9% if the cut-off is set as 58.8mAU/mL. With an AUC of 0.827, the efficacy and sensitivity of AFP were 36.6% and 98.5% when using 199.3ng/mL as the cut-off. No significant correlation was found between these three markers. Simultaneously detecting three markers can significantly increases the sensitivity to 80.2%, much higher than AFP alone. CONCLUSIONS: GPC-3 and HCCR are useful tumor markers complementary to AFP for clinical diagnosis of HCC.


Assuntos
Carcinoma Hepatocelular/sangue , Glipicanas/sangue , Neoplasias Hepáticas/sangue , Proteínas Proto-Oncogênicas/sangue , alfa-Fetoproteínas/metabolismo , Adulto , Análise de Variância , Área Sob a Curva , Biomarcadores Tumorais/sangue , Carcinoma Hepatocelular/diagnóstico , Ensaio de Imunoadsorção Enzimática , Feminino , Humanos , Neoplasias Hepáticas/diagnóstico , Masculino , Pessoa de Meia-Idade , Valor Preditivo dos Testes , Curva ROC , Sensibilidade e Especificidade
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