Identification of driving genes of familial adenomatous polyposis by differential gene expression analysis and weighted gene co-expression network analysis
机构:[1]Department of Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.内科科室肿瘤内科昆明医科大学附属第一医院[2]Department of Internal Medicine-Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.内科科室肿瘤内科昆明医科大学附属第一医院[3]Colorectal Cancer Clinical Research Center, Third Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Despite the advancement of new screening strategies and the advances in pharmacological therapies, the cancerization rates of familial adenomatous polyposis (FAP) are stable and even increased in the last years. Therefore, it necessitates additional research to characterize and understand the underlying mechanisms of FAP.To determine the genes that drive the pathogenesis of familial adenomatous polyposis (FAP).We performed on a cohort (GSE111156) gene profile, which consist of four group of gene expressions (the gene expressions of cancer, adenoma and normal tissue of duodenal cancer from patients with FAP were defined as Case N, Case A and Case C respectively, while that of adenoma tissue from patients with FAP who did not have duodenal cancer was Ctrl A). Tracking Tumor Immunophenotype (TIP) website was applied to reveal immune infiltration profile and signature genes of FAP. We merged the genes of key module (pink and midnight module) with signature genes to obtained the biomarkers related with FAP pathogenesis. The expression of these five biomarkers in FAP intratumoral region (IT) and tumor rim (TR) was detected with Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR).In total, 220, 23 and 63 DEGs were determined in Cases C, A and N, in comparison to Ctrl A. In total, 196 and 10 DEGs were determined in Cases C and A, separately, as compared to Case N. A total of four biomarkers including CCL5, CD3G, CD2 and TLR3 were finally identified associated with pink module, while only one biomarker (KLF2) associated with midnight module was identified. All biomarkers were evidently raised in FAP IT tissues utilizing qRT-PCR.We identified five potential biomarkers for pathogenesis of FAP to understand the fundamental mechanisms of FAP progression and revealed some probable targets for the diagnosis or treatment of FAP.
基金:
This work was supported by the N ational Natural Science Foundation of China (No.8 1960100 and
No. 82160533), the Applied Basic Foundation of Yunnan Province (No.202001AY070001-192 and
No.202001 AT070009), the Young and Middle- aged Academic and Technical Leaders Reserve Talents
Program in Yunnan Province (No. 202205AC160045). and the Yunnan Health Training Project of High
L evel Talents (No. D-2019032).
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外文
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出版当年[2025]版:
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最新[2023]版:
大类|4 区医学
小类|4 区工程:生物医学4 区卫生保健与服务
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出版当年[2024]版:
无
最新[2023]版:
Q3HEALTH CARE SCIENCES & SERVICESQ4ENGINEERING, BIOMEDICAL
第一作者机构:[1]Department of Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
共同第一作者:
通讯作者:
通讯机构:[1]Department of Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.[*1]Department of Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
推荐引用方式(GB/T 7714):
Lin Wan-Rong,Liu Wei-Qing,Meng Xuan-Yu,et al.Identification of driving genes of familial adenomatous polyposis by differential gene expression analysis and weighted gene co-expression network analysis[J].TECHNOLOGY AND HEALTH CARE.2024,32(3):1675-1696.doi:10.3233/THC-230719.
APA:
Lin Wan-Rong,Liu Wei-Qing,Meng Xuan-Yu,Liu Xiao-Ting,Kou Zhi-Yong...&Yang Jun.(2024).Identification of driving genes of familial adenomatous polyposis by differential gene expression analysis and weighted gene co-expression network analysis.TECHNOLOGY AND HEALTH CARE,32,(3)
MLA:
Lin Wan-Rong,et al."Identification of driving genes of familial adenomatous polyposis by differential gene expression analysis and weighted gene co-expression network analysis".TECHNOLOGY AND HEALTH CARE 32..3(2024):1675-1696