TWIST۱ and Stomach Adenocarcinoma: Deciphering the Molecular Landscape of Metastasis-Related Genes
- سال انتشار: 1402
- محل انتشار: دوازدهمین همایش ملی و سومین همایش بین المللی بیوانفورماتیک
- کد COI اختصاصی: IBIS12_073
- زبان مقاله: انگلیسی
- تعداد مشاهده: 69
نویسندگان
Department of Genetics, Faculty of Basic Sciences, Shahrekord University, Shahrekord, Iran
Drug Design and Bioinformatics Unit, Medical Biotechnology Department, Biotechnology Research Center,Pasteur Institute of Iran, Tehran, Iran
Department of Genetics, Faculty of Basic Sciences, Shahrekord University, Shahrekord, Iran
چکیده
The TWIST۱ gene encodes a basic helix-loop-helix (bHLH) transcription factor crucial forgene expression control[۱]. It forms homodimers and heterodimers when binding to DNA E-boxsequences and is involved in epithelial-mesenchymal transition (EMT), a key process in metastasis[۲,۳]. High TWIST۱ expression indicates poor prognosis in metastatic cancer[۴]. This study investigatedTWIST۱ expression levels in stomach adenocarcinoma and their association with invasion andmetastasis-related genes. Genes associated with cancer hallmarks were obtained from several databases,and stomach adenocarcinoma transcriptome data was obtained from The Cancer Genome Atlas(TCGA). High-expression and low-expression groups were created based on TWIST۱'s averageexpression in normal samples. Differentially expressed genes (DEGs) were analyzed (using Limma, anR package); Furthermore, univariate and multivariate Cox regression analyses were performed.Weighted gene co-expression network analysis (WGCNA) was conducted, and gene enrichmentanalysis (using R packages named gProfiler۲ and enrichR) revealed pathways related to invasion andmetastasis. ۲۷۱ out of ۸۷۱۶ DEGs were up-regulated (logFC ≥ ۱, adjusted p-value ≤ ۰.۰۱), and foursignificant genes with p-value < ۰.۰۵ were identified from multivariate Cox analysis. WGCNA revealed"greenyellow" module with a ۰.۶۵ correlation rate with TWIST۱ trait. The findings suggest a potentialconnection between TWIST۱ and other cancer hallmarks, highlighting its potential as a therapeutictarget and prognostic indicator for cancer patients. This study emphasizes the importance of multi-omicsdata analysis in understanding cancer invasion and metastasis mechanisms.کلیدواژه ها
TWIST۱; Cancer Hallmarks; Transcriptome Profiling; Differential Expression Analysis; Survival Analysisمقالات مرتبط جدید
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