{"title":"PCM1:与肺腺癌免疫浸润相关的潜在预后生物标记物","authors":"Zhihua Guo, Jinghao Liang, Xin Zhang, Qing Ai, Zixian Xie, Haonan Zhao, Fayuan Wu, Zhaofeng Tan, Weiqiang Yin, Linghua Ji","doi":"10.2174/0115701646270898231123065507","DOIUrl":null,"url":null,"abstract":"Background: Recent studies have validated the role of Pericentriolar Material 1 (PCM1) in several malignant tumour cell lines, but its specific biological function in lung adenocarcinoma (LUAD) remains unclear. Objective: To address this gap, this study analyzed 411 LUAD and control samples to evaluate the prognostic value of PCM1 using Cox regression analysis. objective: To address this gap, this study analyzed 411 LUAD and control samples to evaluate the prognostic value of PCM1 using Cox regression analysis. Methods: Multiple genes co-expressed with PCM1 were also analyzed to investigate the biological processes and roles involved in PCM1. An endogenous competitive network with PCM1 as the key gene was constructed to uncover its regulatory and competitive relationships in LUAD. The study further explored the immunological characteristics of PCM1 in different expression groups based on immune infiltration analysis. Results: These findings indicated that higher PCM1 expression levels were associated with better survival prognoses, possibly due to its antagonistic effects on RHOC. Immunological infiltration analysis revealed a significant correlation between PCM1 and various immune cell infiltration levels, including CD4+ T cells, naïve B cells, M2 macrophages, and mast cells. However, there was no significant relationship between PCM1 and MSI, TMB, or stemness, although it was positively correlated with m6A genes. Patients with lower PCM1 expression responded better to CTLA-4 therapy. The study also estimated that some chemotherapeutic and targeted agents might be effective in treating patients with high PCM1 levels. PCM1 was mainly expressed in the cytoplasmic and membranous structures. Conclusion: PCM1 shows potential as a prognostic biomarker for LUAD due to its strong correlation with immune cell infiltration and its ability to enhance anticancer treatment sensitivity. other: No.","PeriodicalId":50601,"journal":{"name":"Current Proteomics","volume":"159 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PCM1: A Potential Prognostic Biomarker Correlated with Immune Infiltration in Lung Adenocarcinoma\",\"authors\":\"Zhihua Guo, Jinghao Liang, Xin Zhang, Qing Ai, Zixian Xie, Haonan Zhao, Fayuan Wu, Zhaofeng Tan, Weiqiang Yin, Linghua Ji\",\"doi\":\"10.2174/0115701646270898231123065507\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Recent studies have validated the role of Pericentriolar Material 1 (PCM1) in several malignant tumour cell lines, but its specific biological function in lung adenocarcinoma (LUAD) remains unclear. Objective: To address this gap, this study analyzed 411 LUAD and control samples to evaluate the prognostic value of PCM1 using Cox regression analysis. objective: To address this gap, this study analyzed 411 LUAD and control samples to evaluate the prognostic value of PCM1 using Cox regression analysis. Methods: Multiple genes co-expressed with PCM1 were also analyzed to investigate the biological processes and roles involved in PCM1. An endogenous competitive network with PCM1 as the key gene was constructed to uncover its regulatory and competitive relationships in LUAD. The study further explored the immunological characteristics of PCM1 in different expression groups based on immune infiltration analysis. Results: These findings indicated that higher PCM1 expression levels were associated with better survival prognoses, possibly due to its antagonistic effects on RHOC. Immunological infiltration analysis revealed a significant correlation between PCM1 and various immune cell infiltration levels, including CD4+ T cells, naïve B cells, M2 macrophages, and mast cells. However, there was no significant relationship between PCM1 and MSI, TMB, or stemness, although it was positively correlated with m6A genes. Patients with lower PCM1 expression responded better to CTLA-4 therapy. The study also estimated that some chemotherapeutic and targeted agents might be effective in treating patients with high PCM1 levels. PCM1 was mainly expressed in the cytoplasmic and membranous structures. Conclusion: PCM1 shows potential as a prognostic biomarker for LUAD due to its strong correlation with immune cell infiltration and its ability to enhance anticancer treatment sensitivity. other: No.\",\"PeriodicalId\":50601,\"journal\":{\"name\":\"Current Proteomics\",\"volume\":\"159 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Proteomics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.2174/0115701646270898231123065507\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Proteomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.2174/0115701646270898231123065507","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
PCM1: A Potential Prognostic Biomarker Correlated with Immune Infiltration in Lung Adenocarcinoma
Background: Recent studies have validated the role of Pericentriolar Material 1 (PCM1) in several malignant tumour cell lines, but its specific biological function in lung adenocarcinoma (LUAD) remains unclear. Objective: To address this gap, this study analyzed 411 LUAD and control samples to evaluate the prognostic value of PCM1 using Cox regression analysis. objective: To address this gap, this study analyzed 411 LUAD and control samples to evaluate the prognostic value of PCM1 using Cox regression analysis. Methods: Multiple genes co-expressed with PCM1 were also analyzed to investigate the biological processes and roles involved in PCM1. An endogenous competitive network with PCM1 as the key gene was constructed to uncover its regulatory and competitive relationships in LUAD. The study further explored the immunological characteristics of PCM1 in different expression groups based on immune infiltration analysis. Results: These findings indicated that higher PCM1 expression levels were associated with better survival prognoses, possibly due to its antagonistic effects on RHOC. Immunological infiltration analysis revealed a significant correlation between PCM1 and various immune cell infiltration levels, including CD4+ T cells, naïve B cells, M2 macrophages, and mast cells. However, there was no significant relationship between PCM1 and MSI, TMB, or stemness, although it was positively correlated with m6A genes. Patients with lower PCM1 expression responded better to CTLA-4 therapy. The study also estimated that some chemotherapeutic and targeted agents might be effective in treating patients with high PCM1 levels. PCM1 was mainly expressed in the cytoplasmic and membranous structures. Conclusion: PCM1 shows potential as a prognostic biomarker for LUAD due to its strong correlation with immune cell infiltration and its ability to enhance anticancer treatment sensitivity. other: No.
Current ProteomicsBIOCHEMICAL RESEARCH METHODS-BIOCHEMISTRY & MOLECULAR BIOLOGY
CiteScore
1.60
自引率
0.00%
发文量
25
审稿时长
>0 weeks
期刊介绍:
Research in the emerging field of proteomics is growing at an extremely rapid rate. The principal aim of Current Proteomics is to publish well-timed in-depth/mini review articles in this fast-expanding area on topics relevant and significant to the development of proteomics. Current Proteomics is an essential journal for everyone involved in proteomics and related fields in both academia and industry.
Current Proteomics publishes in-depth/mini review articles in all aspects of the fast-expanding field of proteomics. All areas of proteomics are covered together with the methodology, software, databases, technological advances and applications of proteomics, including functional proteomics. Diverse technologies covered include but are not limited to:
Protein separation and characterization techniques
2-D gel electrophoresis and image analysis
Techniques for protein expression profiling including mass spectrometry-based methods and algorithms for correlative database searching
Determination of co-translational and post- translational modification of proteins
Protein/peptide microarrays
Biomolecular interaction analysis
Analysis of protein complexes
Yeast two-hybrid projects
Protein-protein interaction (protein interactome) pathways and cell signaling networks
Systems biology
Proteome informatics (bioinformatics)
Knowledge integration and management tools
High-throughput protein structural studies (using mass spectrometry, nuclear magnetic resonance and X-ray crystallography)
High-throughput computational methods for protein 3-D structure as well as function determination
Robotics, nanotechnology, and microfluidics.