{"title":"Comprehensive Multi-Omics Analysis Reveals NPC2 and ITGAV Genes as Potential Prognostic Biomarkers in Gastrointestinal Cancers","authors":"Moein Piroozkhah, Mohammadreza Zabihi, Pooya Jalali, Zahra Salehi","doi":"10.1002/cnr2.70087","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Gastrointestinal cancers (GICs) continue to dominate in terms of both incidence and mortality worldwide. Due to the absence of efficient and accurate prognostic biomarkers, the prognosis and treatment outcomes of many GICs are poor. Identifying biomarkers to predict individual clinical outcomes efficiently is a fundamental challenge in clinical oncology. Although several biomarkers have been continually discovered, their predictive accuracy is relatively modest, and their therapeutic use is restricted. In light of this, the discovery of reliable biomarkers for predicting prognosis and outcome in GIC is urgently required.</p>\n </section>\n \n <section>\n \n <h3> Materials and Methods</h3>\n \n <p>We evaluated the Human Protein Atlas dataset and identified NPC Intracellular Cholesterol Transporter 2 (<i>NPC2</i>) and Integrin Subunit Alpha V (<i>ITGAV</i>) as probable poor predictive genes for these cancers. In addition, we used the GEPIA2, cBioPortal, UALCAN, LinkedOmics, STRING, Enrichr, TISDB, TIMER2.0, hTFTarget, miRTarBase, circBank, and drug–gene interaction database databases to conduct a comprehensive and systematic analysis of the <i>NPC2</i> and <i>ITGAV</i> genes.</p>\n </section>\n \n <section>\n \n <h3> Result</h3>\n \n <p>Our results found high expression levels of <i>NPC2</i> and <i>ITGAV</i> in most GICs. The aforementioned gene expressions were linked to several clinicopathological characteristics of GICs as well as poorer prognosis in LIHC and STAD. The most common alteration type of <i>NPC2</i> was amplification, and for <i>ITGAV</i> was deep deletion. Significant promotor hypermethylation was also seen in <i>NPC2</i> and <i>ITGAV</i> in PAAD and COAD, respectively. For the immunologic significance, <i>NPC2</i> and <i>ITGAV</i> were positively correlated with the abundance of tumor-infiltrating lymphocytes and macrophages. Furthermore, various immunomodulators showed strong correlations with the expression of these genes. There were currently 10 small molecule drugs targeting <i>ITGAV</i>.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Consequently, our bioinformatics analysis showed that <i>NPC2</i> and <i>ITGAV</i> might be used as potential biomarkers to determine the prognosis of various GICs and are also related to immune infiltration.</p>\n </section>\n </div>","PeriodicalId":9440,"journal":{"name":"Cancer reports","volume":"7 12","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cnr2.70087","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer reports","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cnr2.70087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Gastrointestinal cancers (GICs) continue to dominate in terms of both incidence and mortality worldwide. Due to the absence of efficient and accurate prognostic biomarkers, the prognosis and treatment outcomes of many GICs are poor. Identifying biomarkers to predict individual clinical outcomes efficiently is a fundamental challenge in clinical oncology. Although several biomarkers have been continually discovered, their predictive accuracy is relatively modest, and their therapeutic use is restricted. In light of this, the discovery of reliable biomarkers for predicting prognosis and outcome in GIC is urgently required.
Materials and Methods
We evaluated the Human Protein Atlas dataset and identified NPC Intracellular Cholesterol Transporter 2 (NPC2) and Integrin Subunit Alpha V (ITGAV) as probable poor predictive genes for these cancers. In addition, we used the GEPIA2, cBioPortal, UALCAN, LinkedOmics, STRING, Enrichr, TISDB, TIMER2.0, hTFTarget, miRTarBase, circBank, and drug–gene interaction database databases to conduct a comprehensive and systematic analysis of the NPC2 and ITGAV genes.
Result
Our results found high expression levels of NPC2 and ITGAV in most GICs. The aforementioned gene expressions were linked to several clinicopathological characteristics of GICs as well as poorer prognosis in LIHC and STAD. The most common alteration type of NPC2 was amplification, and for ITGAV was deep deletion. Significant promotor hypermethylation was also seen in NPC2 and ITGAV in PAAD and COAD, respectively. For the immunologic significance, NPC2 and ITGAV were positively correlated with the abundance of tumor-infiltrating lymphocytes and macrophages. Furthermore, various immunomodulators showed strong correlations with the expression of these genes. There were currently 10 small molecule drugs targeting ITGAV.
Conclusion
Consequently, our bioinformatics analysis showed that NPC2 and ITGAV might be used as potential biomarkers to determine the prognosis of various GICs and are also related to immune infiltration.
背景:胃肠道癌症(gic)在世界范围内的发病率和死亡率方面继续占主导地位。由于缺乏有效和准确的预后生物标志物,许多gic的预后和治疗结果都很差。识别生物标志物以有效预测个体临床结果是临床肿瘤学的一个基本挑战。尽管一些生物标记物不断被发现,但它们的预测准确性相对较低,而且它们的治疗用途也受到限制。鉴于此,迫切需要发现可靠的生物标志物来预测GIC的预后和结局。材料和方法:我们评估了人类蛋白质图集数据集,并确定鼻咽癌细胞内胆固醇转运蛋白2 (NPC2)和整合素亚单位α V (ITGAV)可能是这些癌症的不良预测基因。此外,我们利用GEPIA2、cbiopportal、UALCAN、LinkedOmics、STRING、富集、TISDB、TIMER2.0、hTFTarget、miRTarBase、circBank、药物-基因相互作用数据库等数据库对NPC2和ITGAV基因进行了全面系统的分析。结果:NPC2和ITGAV在大多数GICs中高表达。上述基因表达与GICs的几个临床病理特征以及LIHC和STAD的较差预后有关。NPC2基因最常见的变异类型是扩增,而ITGAV基因最常见的变异类型是深度缺失。在PAAD和COAD的NPC2和ITGAV中也分别观察到显著的启动子超甲基化。在免疫学意义上,NPC2和ITGAV与肿瘤浸润淋巴细胞和巨噬细胞丰度呈正相关。此外,各种免疫调节剂与这些基因的表达有很强的相关性。目前针对ITGAV的小分子药物有10种。结论:因此,我们的生物信息学分析表明,NPC2和ITGAV可能作为判断各种gic预后的潜在生物标志物,并与免疫浸润有关。