Mansour K Gatasheh, Sathan Raj Natarajan, Rajapandiyan Krishnamoorthy, Tawfiq S Alsulami, Ponnulakshmi Rajagopal, Chella Perumal Palanisamy, Vishnu Priya Veeraraghavan, Selvaraj Jayaraman
{"title":"通过分子分析确定结直肠癌治疗中作为药物靶点的新型潜在生物标记物：综合生物信息学分析。","authors":"Mansour K Gatasheh, Sathan Raj Natarajan, Rajapandiyan Krishnamoorthy, Tawfiq S Alsulami, Ponnulakshmi Rajagopal, Chella Perumal Palanisamy, Vishnu Priya Veeraraghavan, Selvaraj Jayaraman","doi":"10.1080/23723556.2024.2326699","DOIUrl":null,"url":null,"abstract":"<p><p>Colorectal cancer (CRC) is a heterogeneous disease that requires new diagnostic and prognostic markers. Integrated bioinformatics approach to identify novel therapeutic targets associated with CRC. Using GEO2R identified DEGs in CRC, and Funrich software facilitated the visualization of DEGs through Venn diagrams. From a total of 114 enhanced DEGs, potential hub genes were further filtered based on their nodal strength and edges using STRING database. To gain insights into the functional roles of these hub genes, gene ontology and pathway enrichment were conducted thorough g: profiler web server. Subsequently, overall survival plots from GEPIA and oncogenic predictive functions like mRNA expressions for stages and nodal metastasis were employed to identify hub genes in CRC patient samples. Additionally, the cBioPortal and HPA databases also revealed genetic alterations and expression levels in these hub genes in CRC patients, further supporting their involvement in colorectal cancer. Gene expression by RT-PCR shows upregulation of hub genes in HT-29 cells. Finally, our integrated bioinformatic analysis revealed that ABCE1, AURKA, HSPD1, PHKA1, CDK4, and YWHAE as hub genes with potential oncogenic roles in CRC. These genes hold promise as diagnostic and prognostic markers for colorectal tumorigenesis, providing insights into targeted therapies for improved patient outcomes.</p>","PeriodicalId":37292,"journal":{"name":"Molecular and Cellular Oncology","volume":"11 1","pages":"2326699"},"PeriodicalIF":2.6000,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10950290/pdf/","citationCount":"0","resultStr":"{\"title\":\"Molecular analysis to identify novel potential biomarkers as drug targets in colorectal cancer therapy: an integrated bioinformatics analysis.\",\"authors\":\"Mansour K Gatasheh, Sathan Raj Natarajan, Rajapandiyan Krishnamoorthy, Tawfiq S Alsulami, Ponnulakshmi Rajagopal, Chella Perumal Palanisamy, Vishnu Priya Veeraraghavan, Selvaraj Jayaraman\",\"doi\":\"10.1080/23723556.2024.2326699\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Colorectal cancer (CRC) is a heterogeneous disease that requires new diagnostic and prognostic markers. Integrated bioinformatics approach to identify novel therapeutic targets associated with CRC. Using GEO2R identified DEGs in CRC, and Funrich software facilitated the visualization of DEGs through Venn diagrams. From a total of 114 enhanced DEGs, potential hub genes were further filtered based on their nodal strength and edges using STRING database. To gain insights into the functional roles of these hub genes, gene ontology and pathway enrichment were conducted thorough g: profiler web server. Subsequently, overall survival plots from GEPIA and oncogenic predictive functions like mRNA expressions for stages and nodal metastasis were employed to identify hub genes in CRC patient samples. Additionally, the cBioPortal and HPA databases also revealed genetic alterations and expression levels in these hub genes in CRC patients, further supporting their involvement in colorectal cancer. Gene expression by RT-PCR shows upregulation of hub genes in HT-29 cells. Finally, our integrated bioinformatic analysis revealed that ABCE1, AURKA, HSPD1, PHKA1, CDK4, and YWHAE as hub genes with potential oncogenic roles in CRC. These genes hold promise as diagnostic and prognostic markers for colorectal tumorigenesis, providing insights into targeted therapies for improved patient outcomes.</p>\",\"PeriodicalId\":37292,\"journal\":{\"name\":\"Molecular and Cellular Oncology\",\"volume\":\"11 1\",\"pages\":\"2326699\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10950290/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular and Cellular Oncology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/23723556.2024.2326699\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular and Cellular Oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23723556.2024.2326699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
Molecular analysis to identify novel potential biomarkers as drug targets in colorectal cancer therapy: an integrated bioinformatics analysis.
Colorectal cancer (CRC) is a heterogeneous disease that requires new diagnostic and prognostic markers. Integrated bioinformatics approach to identify novel therapeutic targets associated with CRC. Using GEO2R identified DEGs in CRC, and Funrich software facilitated the visualization of DEGs through Venn diagrams. From a total of 114 enhanced DEGs, potential hub genes were further filtered based on their nodal strength and edges using STRING database. To gain insights into the functional roles of these hub genes, gene ontology and pathway enrichment were conducted thorough g: profiler web server. Subsequently, overall survival plots from GEPIA and oncogenic predictive functions like mRNA expressions for stages and nodal metastasis were employed to identify hub genes in CRC patient samples. Additionally, the cBioPortal and HPA databases also revealed genetic alterations and expression levels in these hub genes in CRC patients, further supporting their involvement in colorectal cancer. Gene expression by RT-PCR shows upregulation of hub genes in HT-29 cells. Finally, our integrated bioinformatic analysis revealed that ABCE1, AURKA, HSPD1, PHKA1, CDK4, and YWHAE as hub genes with potential oncogenic roles in CRC. These genes hold promise as diagnostic and prognostic markers for colorectal tumorigenesis, providing insights into targeted therapies for improved patient outcomes.
期刊介绍：
For a long time, solid neoplasms have been viewed as relatively homogeneous entities composed for the most part of malignant cells. It is now clear that tumors are highly heterogeneous structures that evolve in the context of intimate interactions between cancer cells and endothelial, stromal as well as immune cells. During the past few years, experimental and clinical oncologists have witnessed several conceptual transitions of this type. Molecular and Cellular Oncology (MCO) emerges within this conceptual framework as a high-profile forum for the publication of fundamental, translational and clinical research on cancer. The scope of MCO is broad. Submissions dealing with all aspects of oncogenesis, tumor progression and response to therapy will be welcome, irrespective of whether they focus on solid or hematological neoplasms. MCO has gathered leading scientists with expertise in multiple areas of cancer research and other fields of investigation to constitute a large, interdisciplinary, Editorial Board that will ensure the quality of articles accepted for publication. MCO will publish Original Research Articles, Brief Reports, Reviews, Short Reviews, Commentaries, Author Views (auto-commentaries) and Meeting Reports dealing with all aspects of cancer research.
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