Aging, Journal Year: 2024, Volume and Issue: 16(4), P. 3915 - 3933
Published: Feb. 21, 2024
Clear cell carcinoma (ccRCC) usually has a high metastasis rate and mortality rate. To enable precise risk stratification, there is need for novel biomarkers. As one form of apoptosis, anoikis results from the disruption cell-cell connection or cell-ECM attachment. However, impact anoikis-related lncRNAs on ccRCC not yet received adequate attention.
Language: Английский
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 10, 2025
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Jan. 5, 2024
Abstract Lysosomes are essential components for managing tumor microenvironment and regulating growth. Moreover, recent studies have also demonstrated that long non-coding RNAs could be used as a clinical biomarker diagnosis treatment of colorectal cancer. However, the influence lysosome-related lncRNA (LRLs) on progression colon cancer is still unclear. This study aimed to identify prognostic LRL signature in elucidated potential biological function. Herein, 10 differential expressed genes were obtained by TCGA database ultimately 4 LRLs conducting risk model identified co-expression, univariate cox, least absolute shrinkage selection operator analyses. Kaplan–Meier analysis, principal-component functional enrichment annotation, nomogram verify model. Besides, association between immune infiltration, chemotherapeutic drugs sensitivity discussed this study. based may promising prognosis immunotherapeutic responses related indicator patients.
Language: Английский
Citations
2
Frontiers in Oncology, Journal Year: 2023, Volume and Issue: 13
Published: Dec. 14, 2023
Background Lysosomes are instrumental in intracellular degradation and recycling, with their functional alterations holding significance tumor growth. Nevertheless, the precise role of lysosome-related genes (LRGs) breast cancer (BC) remains elucidated. This study aimed to establish a prognostic model for BC based on LRGs. Methods Employing The Cancer Genome Atlas (TCGA) cohort as training dataset, this identified differentially expressed (DLRGs) through intersecting LRGs differential expression (DEGs) between normal samples. A was subsequently developed using Cox regression analysis validated within two Gene Expression Omnibus (GEO) external validation sets. Further analyses explored pathways, immune microenvironment, immunotherapeutic responses, sensitivity chemotherapeutic drugs different risk groups. Additionally, mRNA protein levels were examined by utilizing Profiling Interactive Analysis (GEPIA) Human Protein (HPA) databases. Clinical tissue specimens obtained from patients gathered validate via Real-Time Polymerase Chain Reaction (RT-PCR). Results We five specific (ATP6AP1, SLC7A5, EPDR1, SDC1, PIGR). overall survival (OS) GEO sets ( p =0.00034 GSE20685 =0.0095 GSE58812). In addition, nomogram incorporating clinical factors showed better predictive performance. Compared low-risk group, high-risk group had higher level certain cell infiltration, including regulatory T cells (Tregs) type 2 helper (Th2). appeared respond less well general immunotherapy drugs, according Tumor Immune Dysfunction Exclusion (TIDE), Immunophenotype Score (IPS), drug scores. RT-PCR results trends some prognostic-related agreement previous analysis. Conclusion Our innovative lysosome-associated signature can predict prognosis patients, offering insights guiding subsequent interventions. Furthermore, it has potential provide scientific foundation identifying prospective therapeutic targets.
Language: Английский
Citations
3
Aging, Journal Year: 2023, Volume and Issue: 15(19), P. 10253 - 10271
Published: Oct. 2, 2023
Hepatocellular Carcinoma (HCC) is the predominant cause of cancer-related mortality worldwide. The majority HCC patients are diagnosed at advanced stages disease, with a high likelihood metastasis and unfavorable prognosis. Anoikis resistance crucial factor contributing to tumor invasion metastasis, although its specific role in remains unclear. Based on results univariate Cox regression least absolute shrink-age selection operator (LASSO) analysis, subset anoikis-related genes (ARGs) significantly associated overall survival (OS) was identified. A multivariate analysis subsequently identified PDK4, STK11, TFDP1 as three prognostic ARGs, which were then used establish risk model. Differences OS caused by stratification demonstrated. nomogram indicated that ARGs signature served an independent predictor. In vitro experiments further confirmed abnormal expression selected HCC. association between scores examined through Kaplan-Meier CIBERSORT single-sample gene set enrichment (ssGSEA). This study pioneering effort integrate multiple risk-predictive model, providing unique perspective for development personalized precise therapeutic strategies
Language: Английский
Citations
1
Aging, Journal Year: 2024, Volume and Issue: 16(4), P. 3734 - 3749
Published: Feb. 15, 2024
Background: Cutaneous melanoma (CM) remains a significant threat to human health. There are clues the potential role of hypoxia in CM progression. However, hypoxia-related lncRNAs (HRLs) has not been clarified. Methods: We obtained related genes from MSigDB database and subsequently identified HRLs by applying TCGA database. LASSO-univariate multivariate Cox analysis were used comprehensively analyze survival characteristics expressions, novel HRLs-related prognostic risk model was established for comprehensive analysis. Results: The could evaluate clinical outcome accurately. ability model-related score also validated as an independent indicator CM. Immune infiltration, TMB analysis, drug sensitivity immunotherapy evaluation conducted assess possible causes difference prognosis. reliability bioinformatics results partially verified RT-qPCR. Conclusion: new discussed development CM, which provided basis stratification.
Language: Английский
Citations
0
Aging, Journal Year: 2024, Volume and Issue: 16(4), P. 3915 - 3933
Published: Feb. 21, 2024
Clear cell carcinoma (ccRCC) usually has a high metastasis rate and mortality rate. To enable precise risk stratification, there is need for novel biomarkers. As one form of apoptosis, anoikis results from the disruption cell-cell connection or cell-ECM attachment. However, impact anoikis-related lncRNAs on ccRCC not yet received adequate attention.
Language: Английский
Citations
0