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The distribution and content of fibronectin is closely related to the occurrence and development of tumors. Fibronectin is widely involved in cell migration, adhesion, proliferation, hemostasis, and tissue repair. Fibronectin type III domain containing 1, as a primary component of the structural domain of fibronectin, is closely related to the occurrence of some cancers. However, the molecular mechanism of fibronectin type III domain containing 1 in gastric cancer has not been elaborated. In this study, we analyzed the expression and prognosis of fibronectin type III domain containing 1 by collecting data from Oncomine and GEPIA database. The expression of fibronectin type III domain containing 1 in gastric cancer cells was detected by quantitative real-time polymerase chain reaction in vitro. After knockdown of fibronectin type III domain containing 1 by small interfering RNA, the proliferation, invasion, and migration of AGS (human gastric adenocarcinoma cell line) cells and the function of epithelial-mesenchymal transition were measured by Cell Counting Kit-8, colony formation, transwell, and Western blot. The results showed that fibronectin type III domain containing 1 was highly expressed in gastric cancer tissues and its overexpression was significantly correlated with the prognosis of gastric cancer. In vitro, experiments revealed that knockdown of fibronectin type III domain containing 1 could inhibit the proliferation, migration, and invasion of gastric cancer cells, possibly by changing the epithelial-mesenchymal transition pathway. The findings elaborated the biological role of fibronectin type III domain containing 1 in gastric cancer and potential mechanism of action, possibly providing a new insight for future clinical diagnosis or even molecular therapy.
Pubmed ID: 31530096
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Statistical analysis software that combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Designed for biological research applications in pharmacology, physiology, and other biological fields for data analysis, hypothesis testing, and modeling.
View all literature mentionsProject exploring the spectrum of genomic changes involved in more than 20 types of human cancer that provides a platform for researchers to search, download, and analyze data sets generated. As a pilot project it confirmed that an atlas of changes could be created for specific cancer types. It also showed that a national network of research and technology teams working on distinct but related projects could pool the results of their efforts, create an economy of scale and develop an infrastructure for making the data publicly accessible. Its success committed resources to collect and characterize more than 20 additional tumor types. Components of the TCGA Research Network: * Biospecimen Core Resource (BCR); Tissue samples are carefully cataloged, processed, checked for quality and stored, complete with important medical information about the patient. * Genome Characterization Centers (GCCs); Several technologies will be used to analyze genomic changes involved in cancer. The genomic changes that are identified will be further studied by the Genome Sequencing Centers. * Genome Sequencing Centers (GSCs); High-throughput Genome Sequencing Centers will identify the changes in DNA sequences that are associated with specific types of cancer. * Proteome Characterization Centers (PCCs); The centers, a component of NCI's Clinical Proteomic Tumor Analysis Consortium, will ascertain and analyze the total proteomic content of a subset of TCGA samples. * Data Coordinating Center (DCC); The information that is generated by TCGA will be centrally managed at the DCC and entered into the TCGA Data Portal and Cancer Genomics Hub as it becomes available. Centralization of data facilitates data transfer between the network and the research community, and makes data analysis more efficient. The DCC manages the TCGA Data Portal. * Cancer Genomics Hub (CGHub); Lower level sequence data will be deposited into a secure repository. This database stores cancer genome sequences and alignments. * Genome Data Analysis Centers (GDACs) - Immense amounts of data from array and second-generation sequencing technologies must be integrated across thousands of samples. These centers will provide novel informatics tools to the entire research community to facilitate broader use of TCGA data. TCGA is actively developing a network of collaborators who are able to provide samples that are collected retrospectively (tissues that had already been collected and stored) or prospectively (tissues that will be collected in the future).
View all literature mentionsOncomine Research Platform is a partially-commercial suite of products for online cancer gene expression analysis dedicated to the academic and non-profit research community. Oncomine combines a rapidly growing compendium of 20,000+ cancer transcriptome profiles with a sophisticated analysis engine and a powerful web application for data-mining and visualization. Oncomine facilitates rapid and reliable biomarker and therapeutic target discovery, validation and prioritization. Oncomine was developed by physicians, scientists, and software engineers at the University of Michigan and is now fully supported for the academic and non-profit research community by Compendia Bioscience.
View all literature mentionsCell line MGC-803 is a Cancer cell line with a species of origin Homo sapiens (Human)
View all literature mentionsCell line GES-1 is a Transformed cell line with a species of origin Homo sapiens (Human)
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