ArticleTranslational cancer research2020
Identification of hub genes correlated with the pathogenesis and prognosis in Pancreatic adenocarcinoma on bioinformatics methods.
Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed, 5 citations in OpenAlex.
- BEND4: a novel prognostic biomarker in diffuse large B-cell lymphoma.Discover oncology · 2025Article
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7 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundPancreatic adenocarcinoma (PC), is a type of digestive tract cancer with the highest mortality all over the word, and its exact pathogenesis is not clear. Therefore, it is of great significance to search for genes related to PC and elucidate its molecular mechanism.
methodsWe integrated and analyzed 8 microarray datasets from the Gene Expression Comprehensive Database (GEO) and PC patient information from the Cancer Genome Atlas (TCGA) database to identified differentially expressed genes (DEGs) based on standardized annotation information. The overlapped DEGs both in the GEO and TCGA datasets were identified as key genes. Kaplan-Meier comprehensive expression scoring method was conducted to determine whether the key genes are related to the survival rate of PC. The expression of those key genes was analyzed by GEPIA and UALCAN. Lastly, Cox regression model was used to construct a gene prognosis signature.
resultsThe TSPAN1 gene was identified that might be highly related to the pathogenesis of PC. Further analysis showed high expression of TSPAN1 was closely related to the stage 2, moderately differentiated (intermediate grade), and poorly differentiated (high grade) of PC. Finally, we build a four-gene prognosis signature (AIM2, B3GNT3, MATK and BEND4), which can be applied to predict overall survival (OS) effectively.
conclusionsWe revealed promising genes that may participate in the pathophysiology of PC, and found available biomarkers for PC prognosis prediction, which were significant for researchers to further understand the molecular basis of PC and direct the synthesis medicine of PC.
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