Alternative Splicing in Pancreatic Ductal Adenocarcinoma Leads to Dysregulated Immune System

Fatimah A. Abdul Jabbar, R. AlChalabi, Ahmed Yaseen AL-Tarboolee, S.A. Shaban, Ahmed A.J. Suleiman
{"title":"Alternative Splicing in Pancreatic Ductal Adenocarcinoma Leads to Dysregulated Immune System","authors":"Fatimah A. Abdul Jabbar, R. AlChalabi, Ahmed Yaseen AL-Tarboolee, S.A. Shaban, Ahmed A.J. Suleiman","doi":"10.17537/2024.19.15","DOIUrl":null,"url":null,"abstract":"\n Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy that poses a significant global health threat, marked by a substantial increase in prevalence and mortality rates. Accounting for 90 % of pancreatic cancer cases, PDAC carries a dismal prognosis, and current therapeutic approaches, including immunotherapy, face challenges due to poor immunogenicity. This study aimed to discover differentially expressed immune genes shared between PDAC and normal samples from two datasets obtained from the NCBI GEO Dataset. The RNA-seq pipeline was employed for gene expression analysis, and enrichR facilitated functional enrichment analysis of biologically and statistically significant genes. Predictions of immune infiltration cells and corresponding genes, along with their immune responses, were made using the ScType database and the immunedeconv package, respectively. Verification of gene expression levels was conducted through GEPIA2, Expression Atlas, and literature review. Additionally, isoform-switching analysis of dysregulated genes aimed to uncover alternatively spliced pathogenic isoforms in PDAC. Notably, four immune genes (EPHA2 upregulated, GNG11, CRHBP, and FCER1A downregulated) were found to be common in both datasets and were highly implicated in PDAC. The dysregulated immune genes influenced molecular functions, including protein binding, transmembrane receptor protein tyrosine kinase activity, protein tyrosine kinase activity, and cadherin binding for upregulated genes. Downregulated genes were associated with GTPase activity and ribonucleoside triphosphate phosphatase activity. This study suggests these immune genes as potential prognostic biomarkers for effective PDAC treatment. However, further investigations are essential to unravel the functional perspectives of potential isoforms.\n","PeriodicalId":53525,"journal":{"name":"Mathematical Biology and Bioinformatics","volume":"20 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Biology and Bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17537/2024.19.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy that poses a significant global health threat, marked by a substantial increase in prevalence and mortality rates. Accounting for 90 % of pancreatic cancer cases, PDAC carries a dismal prognosis, and current therapeutic approaches, including immunotherapy, face challenges due to poor immunogenicity. This study aimed to discover differentially expressed immune genes shared between PDAC and normal samples from two datasets obtained from the NCBI GEO Dataset. The RNA-seq pipeline was employed for gene expression analysis, and enrichR facilitated functional enrichment analysis of biologically and statistically significant genes. Predictions of immune infiltration cells and corresponding genes, along with their immune responses, were made using the ScType database and the immunedeconv package, respectively. Verification of gene expression levels was conducted through GEPIA2, Expression Atlas, and literature review. Additionally, isoform-switching analysis of dysregulated genes aimed to uncover alternatively spliced pathogenic isoforms in PDAC. Notably, four immune genes (EPHA2 upregulated, GNG11, CRHBP, and FCER1A downregulated) were found to be common in both datasets and were highly implicated in PDAC. The dysregulated immune genes influenced molecular functions, including protein binding, transmembrane receptor protein tyrosine kinase activity, protein tyrosine kinase activity, and cadherin binding for upregulated genes. Downregulated genes were associated with GTPase activity and ribonucleoside triphosphate phosphatase activity. This study suggests these immune genes as potential prognostic biomarkers for effective PDAC treatment. However, further investigations are essential to unravel the functional perspectives of potential isoforms.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
胰腺导管腺癌中的替代剪接导致免疫系统失调
胰腺导管腺癌(PDAC)是一种高度致命的恶性肿瘤,对全球健康构成重大威胁,其特点是发病率和死亡率大幅上升。PDAC占胰腺癌病例的90%,预后极差,由于免疫原性差,包括免疫疗法在内的现有治疗方法面临挑战。本研究旨在从 NCBI GEO 数据集中获得的两个数据集中发现 PDAC 和正常样本之间共有的差异表达免疫基因。研究采用 RNA-seq 管道进行基因表达分析,并利用 enrichR 对具有生物学和统计学意义的基因进行功能富集分析。利用 ScType 数据库和 immunedeconv 软件包分别预测了免疫浸润细胞和相应基因及其免疫反应。通过 GEPIA2、Expression Atlas 和文献综述对基因表达水平进行了验证。此外,还对调控异常的基因进行了同工酶转换分析,旨在发现PDAC中的替代剪接致病同工酶。值得注意的是,四个免疫基因(EPHA2上调、GNG11、CRHBP和FCER1A下调)在两个数据集中都很常见,并且与PDAC高度相关。失调的免疫基因影响分子功能,包括上调基因的蛋白结合、跨膜受体蛋白酪氨酸激酶活性、蛋白酪氨酸激酶活性和粘附蛋白结合。下调基因与 GTPase 活性和核糖核苷三磷酸酶活性有关。这项研究表明,这些免疫基因是有效治疗 PDAC 的潜在预后生物标志物。然而,进一步的研究对揭示潜在同工酶的功能前景至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Mathematical Biology and Bioinformatics
Mathematical Biology and Bioinformatics Mathematics-Applied Mathematics
CiteScore
1.10
自引率
0.00%
发文量
13
期刊最新文献
Modeling Growth and Photoadaptation of Porphyridium purpureum Batch Culture Mathematical Modeling of the Initial Period of Spread of HIV-1 Infection in the Lymphatic Node Mathematical Model of Closed Microecosystem “Algae – Heterotrophic Bacteria” Using a Drug Repurposing Strategy to Virtually Screen Potential HIV-1 Entry Inhibitors That Block the NHR Domain of the Viral Envelope Protein gp41 Applying Laplace Transformation on Epidemiological Models as Caputo Derivatives
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1