RESUMEN
Background: Gastric cancer is one of the most common cancers and is the second leading cause of cancer mortality worldwide. The present study aimed to investigate the potential biological effect of long non-coding RNA (lncRNA) BNC2-AS1 on the proliferation, migration, and invasion of cervical cancer cells. Methods: BNC2-AS1 small interfering RNA (siRNA) was transfected into SGC7901 and BGC823 gastric cancer cell lines, with negative siRNA serving as a control. A reverse transcription-quantitative polymerase chain reaction assay was performed to confirm the knockdown of BNC2-AS1. Cell Counting Kit (CCK)-8 and colony-forming unit (CFU) assays were performed to evaluate the effect of BNC2-AS1-knockdown on SGC7901 and BGC823 cell proliferation. A wound healing assay was performed to evaluate the effect of BNC2-AS1-knockdown on SGC7901 and BGC823 cell proliferation and migration. A tumor invasion assay was used to evaluate the effect of BNC2-AS1-knockdown on SGC7901 and BGC823 cell invasion. The expression level of BNC2-AS1 was efficiently knocked down by siRNA 48 hours post-transfection. Results: The results of CCK8 and CFU assays showed that BNC2-AS1-knockdown significantly decreased gastric cancer cell proliferation. Wound healing assay results indicated that BNC2-AS1-knockdown markedly suppressed gastric cancer cell proliferation and migration. Tumor invasion assay results demonstrated that BNC2-AS1-knockdown significantly suppressed gastric cancer cell invasion. Conclusions: BNC2-AS1 levels in gastric cancer SGC7901 and BGC823 cell lines can be efficiently knocked down using the siRNA strategy, and the BNC2-AS1 knockdown can significantly suppress the tumor characteristics of gastric cancer cells, including the ability of proliferation, migration, and invasion.
Asunto(s)
Movimiento Celular/genética , Proliferación Celular/genética , Regulación Neoplásica de la Expresión Génica , ARN Largo no Codificante/genética , Neoplasias Gástricas/genética , Línea Celular Tumoral , Humanos , Invasividad Neoplásica , Interferencia de ARN , Neoplasias Gástricas/patología , TransfecciónRESUMEN
Most digestive system tumors have poor prognoses due to the lack of specific biomarkers. Circular RNAs (circRNAs) regulate the expression of genes and play essential roles in digestive system tumorigenesis. Here we review circRNA functions in gastrointestinal tract tumors. CircRNAs are promising biomarkers for clinical applications for gastrointestinal tract tumors.
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Biomarcadores de Tumor/genética , Neoplasias Gastrointestinales/genética , Tracto Gastrointestinal/metabolismo , ARN/genética , Neoplasias Gastrointestinales/diagnóstico , Perfilación de la Expresión Génica/métodos , Secuenciación de Nucleótidos de Alto Rendimiento/métodos , Humanos , MicroARNs/genética , Técnicas de Diagnóstico Molecular/métodos , ARN Circular , Reproducibilidad de los Resultados , Sensibilidad y EspecificidadRESUMEN
BACKGROUND: Long noncoding RNAs (lncRNAs) are transcripts longer than 200 nucleotides and have no proteincoding capacity. In recent years, they have been believed to be major players in biological processes. However, there is limited understanding of the many lncRNAs' expressions and their clinical significances in gastric cancer. METHODS: Quantitative RT-PCR was performed to investigate the lncRNA expression in gastric cancer. Then, we further explored the potential association between RP11-62F24.2 level and the clinicopathological features in gastric cancer tissue samples. RESULTS: The results showed that RP11-62F24.2 was significantly upregulated in gastric cancer tissues compared with matched normal tissues (p < 0.05). Its expression level was significantly correlated with invasion and tumor size. CONCLUSIONS: These results indicated that lncRNA RP11-62F24.2 may be a potential biomarker in the diagnosis of gastric cancer.
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ARN Largo no Codificante/metabolismo , Neoplasias Gástricas/metabolismo , Biomarcadores/metabolismo , Biomarcadores de Tumor , Humanos , Regulación hacia ArribaRESUMEN
OBJECTIVE: Gastric cancer (GC) is one of the most common malignant tumors in the world, and its incidence rate ranks the fourth in the world. Hyperfibrinogenemia and hyperthrombocytopaemia are often associated with malignancy and poor prognosis. The purpose of this study was to explore the relationship between high levels of fibrinogen and platelets and the clinicopathologic features and overall survival (OS) of gastric cancer. METHODS: We enrolled a total of 341 gastric cancer patients from our hospital between January 2014 and January 2015. GC patients were retrospectively assessed using a Kaplan-Meier method and chi-squared to confirm a correlation between patient survival and levels of fibrinogen (FIB) and platelets (PLT). RESULTS: Our results show that FIB levels were associated with tumor size, lymph node metastasis, and depth of invasion (P<0.05). Platelet (PLT) levels were associated with tumor size (P<0.05). High FIB and PLT levels were associated with poor survival (P<0.05). CONCLUSIONS: High platelets and fibrinogen may have synergistic effects on patients with gastric cancer.
Asunto(s)
Plaquetas/metabolismo , Fibrinógeno/análisis , Neoplasias Gástricas/mortalidad , Adulto , Anciano , Anciano de 80 o más Años , Biomarcadores de Tumor , Pruebas de Coagulación Sanguínea , Plaquetas/patología , China , Femenino , Fibrinógeno/metabolismo , Hemostáticos , Humanos , Estimación de Kaplan-Meier , Metástasis Linfática , Masculino , Persona de Mediana Edad , Pronóstico , Estudios Retrospectivos , Neoplasias Gástricas/metabolismo , Neoplasias Gástricas/patologíaRESUMEN
This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been retracted at the request of the Editor-in-Chief. Panels from Figure 2C appear similar to panels from Figure 2D of the article that Zhang M., Gao C., Yang Y., Li G., Dong J., Ai Y., Ma Q. and Li W. have published in Cellular Physiology and Biochemistry 42 (2017) 211-221 https://doi.org/10.1159/000477314. Regions of panels 'Control' and 'si-ADAMTS9-AS2' from Figure 3B appear similar to regions of panels 'Control' and 'si-ADAMTS9-AS2' from Figure 6C. Regions of panel 'si-ADAMTS9-AS2' from Figure 3D appear similar to regions of panel 'pc-CSTB+si-CSTB' from Figure 3B of the article that Jian Zhang, ZhenFeng Shi, JinXing Huang and XiaoGuang Zou have published in Oncology Research 24 (2016) 487494 http://dx.doi.org/10.3727/096504016X14685034103752. Panel 'Control' from Figure 4B appears similar to panel 'pc-CSTB+si-CSTB' from Figure 4B of the article published by Oncology Research 24 (2016) 487. Regions of panels from Figure 6B appear similar to each other, as well as to regions of panels from Figure 2 of the article that Xiantao Sun, Yang Bai, Chao Yang, Shengyun Hu, Zhili Hou and Guixian Wang have published in Artificial Cells, Nanomedicine, and Biotechnology 47 (2019) 2536-2544 https://doi.org/10.1080/21691401.2019.1621328. Regions of panels from Figure 6D appear similar to each other, as well as to regions of 'Hypoxia' panel from Figure 1B of the article that Fei Kong, Juan Jin, Xiaolin Lv, Yubo Han, Xue Liang, Yanyu Gao and Xinglin Duan have published in Biomedicine & Pharmacotherapy 109 (2019) 716-725 https://doi.org/10.1016/j.biopha.2018.10.079. Although this article was published earlier than some of the other articles, the Editor decided to retract this article given concerns about the reliability of the data. Also, the corresponding author has not responded to the journal request to comment on the complaints and to provide the raw data of the results presented by the article.