{"title":"PLEKHG7 Expression: A Biomarker for Prognosis and Targeted Therapy in Diffuse Large B-cell Lymphoma.","authors":"Guizhen Lyu, Dongbing Li","doi":"10.2174/0109298665398122250929045705","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Pleckstrin homology and RhoGEF domain-containing G7 (PLEKHG7) is a largely uncharacterized gene whose role in diffuse large B-cell lymphoma (DLBCL) remains unexplored. Thus, we aimed to profile PLEKHG7 expression, assess its prognostic value, and explore therapeutic implications.</p><p><strong>Methods: </strong>RNA-seq data from TCGA-DLBCL (n=48) and GTEx normal tissues were analyzed via UCSC XENA. Differential expression was tested using the Wilcoxon rank-sum test and FDR correction. Prognostic significance was evaluated by Kaplan-Meier and multivariate Cox regression (nomogram). Gene set enrichment analysis (GSEA) mapped PLEKHG7-associated pathways. Drug sensitivity correlations were extracted from RNAactDrug. qRT-PCR validated expression in DLBCL cell lines (OCI-Ly3, SU-DHL-4) versus normal B lymphocytes (GM12878).</p><p><strong>Results: </strong>PLEKHG7 was markedly up-regulated in DLBCL tissues (P < 0.001) and cell lines versus normal controls (AUC = 0.739). High PLEKHG7 expression predicted inferior overall survival (HR = 8.88; 95% CI: 1.09-72.27; P = 0.041) and remained an independent prognostic factor (HR = 10.109; P = 0.033). GSEA linked PLEKHG7 to ribosome, oxidative phosphorylation, proteasome, cytokine-cytokine receptor interaction, spliceosome, and ECM-receptor pathways. Elevated PLEKHG7 negatively correlated with sensitivity to idelalisib, omipalisib, belinostat, methotrexate, and dacinostat.</p><p><strong>Discussion: </strong>The study's limitations include reliance on bioinformatics data and the lack of functional validation. Further research is needed to elucidate the molecular mechanisms underlying PLEKHG7's role in DLBCL and validate its clinical utility.</p><p><strong>Conclusion: </strong>PLEKHG7 is significantly overexpressed in DLBCL and independently predicts poor prognosis. Its association with key oncogenic pathways and drug resistance underscores its potential as both a prognostic biomarker and a therapeutic target, warranting further functional validation.</p>","PeriodicalId":20736,"journal":{"name":"Protein and Peptide Letters","volume":" ","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Protein and Peptide Letters","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.2174/0109298665398122250929045705","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Pleckstrin homology and RhoGEF domain-containing G7 (PLEKHG7) is a largely uncharacterized gene whose role in diffuse large B-cell lymphoma (DLBCL) remains unexplored. Thus, we aimed to profile PLEKHG7 expression, assess its prognostic value, and explore therapeutic implications.
Methods: RNA-seq data from TCGA-DLBCL (n=48) and GTEx normal tissues were analyzed via UCSC XENA. Differential expression was tested using the Wilcoxon rank-sum test and FDR correction. Prognostic significance was evaluated by Kaplan-Meier and multivariate Cox regression (nomogram). Gene set enrichment analysis (GSEA) mapped PLEKHG7-associated pathways. Drug sensitivity correlations were extracted from RNAactDrug. qRT-PCR validated expression in DLBCL cell lines (OCI-Ly3, SU-DHL-4) versus normal B lymphocytes (GM12878).
Results: PLEKHG7 was markedly up-regulated in DLBCL tissues (P < 0.001) and cell lines versus normal controls (AUC = 0.739). High PLEKHG7 expression predicted inferior overall survival (HR = 8.88; 95% CI: 1.09-72.27; P = 0.041) and remained an independent prognostic factor (HR = 10.109; P = 0.033). GSEA linked PLEKHG7 to ribosome, oxidative phosphorylation, proteasome, cytokine-cytokine receptor interaction, spliceosome, and ECM-receptor pathways. Elevated PLEKHG7 negatively correlated with sensitivity to idelalisib, omipalisib, belinostat, methotrexate, and dacinostat.
Discussion: The study's limitations include reliance on bioinformatics data and the lack of functional validation. Further research is needed to elucidate the molecular mechanisms underlying PLEKHG7's role in DLBCL and validate its clinical utility.
Conclusion: PLEKHG7 is significantly overexpressed in DLBCL and independently predicts poor prognosis. Its association with key oncogenic pathways and drug resistance underscores its potential as both a prognostic biomarker and a therapeutic target, warranting further functional validation.
期刊介绍:
Protein & Peptide Letters publishes letters, original research papers, mini-reviews and guest edited issues in all important aspects of protein and peptide research, including structural studies, advances in recombinant expression, function, synthesis, enzymology, immunology, molecular modeling, and drug design. Manuscripts must have a significant element of novelty, timeliness and urgency that merit rapid publication. Reports of crystallization and preliminary structure determination of biologically important proteins are considered only if they include significant new approaches or deal with proteins of immediate importance, and preliminary structure determinations of biologically important proteins. Purely theoretical/review papers should provide new insight into the principles of protein/peptide structure and function. Manuscripts describing computational work should include some experimental data to provide confirmation of the results of calculations.
Protein & Peptide Letters focuses on:
Structure Studies
Advances in Recombinant Expression
Drug Design
Chemical Synthesis
Function
Pharmacology
Enzymology
Conformational Analysis
Immunology
Biotechnology
Protein Engineering
Protein Folding
Sequencing
Molecular Recognition
Purification and Analysis