Functional Analysis and Experimental Validation of the Prognostic and Immune Effects of the Oncogenic Protein CDC45 in Breast Cancer

Breast Cancer Targets and Therapy, Journal Year: 2025, Volume and Issue: Volume 17, P. 11 - 25

Published: Jan. 1, 2025

Purpose: Cell division cycle protein 45 (CDC45) plays a crucial role in DNA replication. This study investigates its breast cancer (BC) and impact on tumor progression. Methods: We utilized the GEO database to screen differentially expressed genes (DEGs) conducted enrichment analysis these genes. established Nomogram model based CDC45 other clinical indicators. Additionally, we performed protein-protein interaction (PPI) network construction, drug sensitivity analysis, immune correlation of CDC45. The function was further verified through cell animal experiments. Results: is highly most tumors, including BC. expression level significantly associated with age, sex, race, stage, molecular subtypes (all p < 0.05). incorporated into model, which showed moderate accuracy predicting patient prognosis. also analyzed co-expression CDC45, TOPBP1, GINS2, MCM5, GINS1, GINS4, POLE2, MCM2, MCM6, MCM4, MCM7. Furthermore, closely linked infiltration levels, checkpoint inhibitors, therapeutic response small molecule drugs. Finally, both vitro vivo experiments confirmed cancer-promoting effect Conclusion: prognosis, infiltration, In have that acts as cancer. Keywords: cancer, immunity, experiment

Language: Английский

Construction of a prognostic model for autophagy-related LncRNAs in lung adenocarcinoma

Medicine, Journal Year: 2025, Volume and Issue: 104(15), P. e42122 - e42122

Published: April 11, 2025

Lung cancer remains the leading cause of cancer-related mortality globally, with lung adenocarcinoma being most prevalent subtype. Current prognostic indicators have limitations due to tumor heterogeneity, necessitating identification novel biomarkers for better risk stratification and personalized treatment. Here, we constructed validated a model based on autophagy-related long noncoding RNAs (LncRNAs). Transcriptional data, including 501 54 adjacent non-tumor samples, were retrieved from genome atlas. The LncRNAs associated genes identified. A prediction was using univariate Cox regression further refined through Lasso regression. score, calculated model, used stratify patients into high-risk low-risk groups. value assessed Kaplan–Meier survival analysis receiver operating characteristic (ROC) curve analysis. Twenty paired noncancerous tissues collected who underwent surgery. Six in these RT-qPCR. total 1321 ( R ≥ 0.3, P < .001) identified, 143 significantly prognosis adenocarcinoma. composed 14 (LINC01876, FAM83A-AS1, AL031667.3, FENDRR, AC125807.2, AP002761.1, AC107959.3, MYO16-AS1, AL606489.1, AC026355.2, NKILA, LINC01116, LINC01137, MMP2-AS1), constructed. group had lower times than .001). area under ROC curves 0.78, 0.73, 0.71 1-year, 2-year, 3-year survival, respectively. Consistently, RT-qPCR revealed that LINC01876, AL031667.3 increased adenocarcinoma, while MMP2-AS1, FENDRR decreased. study presents This may guide clinical treatment

Language: Английский