en بیوانفورماتیک Bioinformatic پژوهشي Research <div style="text-align: justify;"><span style="font-size:14px;"><span style="line-height:normal"><span calibri="" style="font-family:"><b><span style="font-family:" timesnewromanps-boldmt="">Background: </span></b><span style="font-family:" timesnewromanpsmt="">Gastric cancer (GC) poses a significant health challenge worldwide. Recognizing its complex and diverse nature, the cancer genome atlas (TCGA) research network has identified four distinct subtypes of GC. Among these subtypes, Epstein-Barr virus (EBV) associated GC accounts for around 9% of all GC cases. The primary aim of this study was to identify dysregulated genes in EBV-positive samples in contrast to EBV-negative samples, with the secondary goal of assessing their potential utility as diagnostic biomarkers. In addition, the study also aimed to evaluate the correlation between the expression levels of these candidate genes and drug resistance and sensitivity.</span></span></span><br> <span style="line-height:normal"><span calibri="" style="font-family:"><b><span style="font-family:" timesnewromanps-boldmt="">Materials and Methods: </span></b><span style="font-family:" timesnewromanpsmt="">Differential gene expression analysis was employed to compare gene expression patterns between the EBV-positive and EBV-negative groups within the TCGA-stomach adenocarcinoma (TCGA-STAD) cohort. Gene ontology (GO) analyses were performed to elucidate the biological roles of the candidate genes. GSE13861 was used to confirm the gene expression levels in GC samples compared to the normal samples.</span></span></span><br> <span style="line-height:normal"><span calibri="" style="font-family:"><b><span style="font-family:" timesnewromanps-boldmt="">Results: </span></b><span style="font-family:" timesnewromanpsmt="">Our findings revealed that 128 genes exhibited up-regulation in EBV-positive samples compared to EBV-negative samples. </span><i><span style="font-family:" timesnewromanps-italicmt="">CCL1</span></i><span style="font-family:" timesnewromanpsmt="">, </span><i><span style="font-family:" timesnewromanps-italicmt="">CCL5</span></i><span style="font-family:" timesnewromanpsmt="">, </span><i><span style="font-family:" timesnewromanps-italicmt="">CXCL1</span></i><span style="font-family:" timesnewromanpsmt="">, </span><i><span style="font-family:" timesnewromanps-italicmt="">CXCL10</span></i><span style="font-family:" timesnewromanpsmt="">, </span><i><span style="font-family:" timesnewromanps-italicmt="">CXCL11</span></i><span style="font-family:" timesnewromanpsmt="">, </span><i><span style="font-family:" timesnewromanps-italicmt="">KLRK1</span></i><span style="font-family:" timesnewromanpsmt="">, and </span><i><span style="font-family:" timesnewromanps-italicmt="">TBX21</span></i><span style="font-family:" timesnewromanpsmt=""> genes were notably enriched in the process of leukocyte migration, which emerged as the hub pathway with the highest degree of interactions among the identified terms. Our analysis indicated that most of these genes could be deemed potential diagnostic biomarkers, as their area under the curve values exceeded 0.9. Additionally, our results demonstrated a correlation between some of these genes and resistance to specific drugs, including panobinostat, L-685458, L-BW242, and sorafenib.</span></span></span><br> <span style="line-height:normal"><span calibri="" style="font-family:"><b><span style="font-family:" timesnewromanps-boldmt="">Conclusion: </span></b><span style="font-family:" timesnewromanpsmt="">Our study identified several key genes closely linked to EBV status and demonstrated a strong association with drug resistance. These genes hold promise as molecular markers for predicting EBV-positive samples.</span></span></span></span></div> Gastric cancer (GC), Epstein-Barr virus (EBV) associated gastric cancer (EBVaGC), Biomarker, Drug resistance 203 212 http://rmm.mazums.ac.ir/browse.php?a_code=A-10-1346-1&slc_lang=en&sid=1 Tabassom Sedaghat Anbouhi sedaghat_tabassom@yahoo.com 100319475328460012089 100319475328460012089 No Department of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran. Hossein Sazegar hosseinsazegar731@gmail.com 100319475328460012090 100319475328460012090 Yes Department of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran. Ebrahim Rahimi rahimi@iaushk.ac.ir 100319475328460012091 100319475328460012091 No Department of Food Hygiene, Faculty of Veterinary Medicine, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.