Unlocking hidden potential: The Prognostic Value and Immunoinfiltration of CACUL1 in Malignant Tumours

Author:

Tan Yuhan1,Wang Ju1,Kong Ying1

Affiliation:

1. The First Affiliated Hospital of Xi’an Jiaotong University

Abstract

Abstract Background: CDK2 associated cullin domain 1 (CACUL1), also named C10ORF46, is a poorly understood gene. Growing evidence illustrates that CACUL1 plays a potential role in malignant tumors. However, the prognostic value of CACUL1 in malignant tumors didn’t significant. Methods: In this study, HPA, TCGA, GEO, TIMER2, GEPIA, GTEx, CPTAC, TISCH, and a variety of other bioinformatics tools were used. The expression was verified by immunohistochemistry. Results: CACUL1 was markedly overexpressed in tumours and correlated with poor prognosis. It will be a potiental biomarker for predicting HCC prognosis. The evidence of a variety of genetic and epigenetic signatures of CACUL1 in different types of cancer has been studied, and some of the results are also in relation to prognosis. Additionally, CACUL1 is associated with the expression of currently recognised immune checkpoints or infiltrates. Further analysis of CACUL1 and tumour-associated immune cells revealed a link between CACUL1 and macrophages in multiple tumour types. The promotion of poor prognosis by CACUL1 may be associated with a tumor-promoting phenotype of macrophages. Functional prediction of CACUL1 has focused on the molecular pathways of metabolism and the pathways in cancer. It is suggested that metabolic pathways may be the mechanism by which CACUL1 exerts its function to affect macrophage polarisation and thus promote poor prognosis. Finally, immunohistochemistry staining demonstrated that CACUL1 expression is markedly higher in tumour tissues. Conclusion: This first pan-cancer study of CACUL1 suggests a carcinogenic function in multiple tumors, and its closeness to immune cells hints at its potential application in anti-tumor immunotherapy.

Publisher

Research Square Platform LLC

Reference31 articles.

1. The Intratumoral Balance between Metabolic and Immunologic Gene Expression Is Associated with Anti-PD-1 Response in Patients with Renal Cell Carcinoma;Ascierto ML;Cancer Immunol Res,2016

2. GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis;Tang Z;Nucleic Acids Res,2019

3. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal;Gao J;Sci Signal,2013

4. Highly accurate protein structure prediction with AlphaFold;Jumper J;Nature,2021

5. GSCA: an integrated platform for gene set cancer analysis at genomic, pharmacogenomic and immunogenomic levels;Liu CJ;Brief Bioinform,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3