Deciphering the prognostic significance of anoikis-related lncRNAs in invasive breast cancer: from comprehensive bioinformatics analysis to functional experimental validation.

PubMed, Journal Year: 2024, Volume and Issue: 16(1), P. 402 - 430

Published: Jan. 5, 2024

The global prevalence of breast cancer necessitates the development innovative prognostic markers and therapeutic strategies. This study investigated implications anoikis-related long non-coding RNAs (ARLs) in invasive (IBC), which is an area that has not been extensively explored. By integrating RNA sequence transcriptome clinical data from Cancer Genome Atlas (TCGA) database employing advanced regression analyses, we devised a novel model based on ARL scores. scores correlated with diverse clinicopathological parameters, cellular pathways, distinct mutation patterns, immune responses, thereby affecting both cell infiltration anticipated responses to chemotherapy immunotherapy. Additionally, overexpression specific lncRNA,

Language: Английский

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Multi-cohort validation of Ascore: an anoikis-based prognostic signature for predicting disease progression and immunotherapy response in bladder cancer

Molecular Cancer, Journal Year: 2024, Volume and Issue: 23(1)

Published: Feb. 10, 2024

Abstract Bladder cancer ranks as the 10th most common worldwide, with deteriorating prognosis disease advances. While immune checkpoint inhibitors (ICIs) have shown promise in clinical therapy both operable and advanced bladder cancer, identifying patients who will respond is challenging. Anoikis, a specialized form of cell death that occurs when cells detach from extracellular matrix, closely linked to tumor progression. Here, we aimed explore anoikis-based biomarkers for immunotherapeutic decisions. Through consensus clustering, categorized TCGA-BLCA cohort into two clusters based on anoikis-related genes (ARGs). Significant differences survival outcome, features, environment (TIME), potential ICIs response were observed between clusters. We then formulated four-gene signature, termed "Ascore", encapsulate this gene expression pattern. The Ascore was found be associated outcome served an independent prognosticator IMvigor210 cohort. It also demonstrated superior predictive capacity (AUC = 0.717) immunotherapy compared like TMB PD-L1. Finally, evaluated Ascore’s prognostic performance non-invasive biomarker our (Gulou-Cohort1) using circulating detection, achieving AUC 0.803. Another (Gulou-Cohort2) consisted 40 undergoing neoadjuvant anti-PD-1 treatment examined. Immunohistochemistry these revealed its correlation pathological ( P 0.004). Impressively, 0.913) surpassed PD-L1 0.662) forecasting indicated better net benefit. In conclusion, study introduces novel, robust offering new tool enhancing decisions contributing tailored approaches field.

Language: Английский

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Deciphering the prognostic features of bladder cancer through gemcitabine resistance and immune-related gene analysis and identifying potential small molecular drug PIK-75

Cancer Cell International, Journal Year: 2024, Volume and Issue: 24(1)

Published: April 3, 2024

Bladder cancer (BCa) stands out as a prevalent and highly lethal malignancy worldwide. Chemoresistance significantly contributes to recurrence progression. Traditional Tumor Node Metastasis (TNM) stage molecular subtypes often fail promptly identify treatment preferences based on sensitivity.

Language: Английский

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Comprehensive analysis of mitochondrial solute carrier family 25 (SLC25) identifies member 19 (SLC25A19) as a regulatory factor in hepatocellular carcinoma

Gene, Journal Year: 2025, Volume and Issue: unknown, P. 149299 - 149299

Published: Jan. 1, 2025

Language: Английский

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Identification of a novel signature based on RNA methylation-associated anoikis-related genes for predicting prognosis and characterizing immune landscape in colorectal cancer

Discover Oncology, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 26, 2025

RNA methylation is a potential target for cancer therapy, while anoikis, form of programmed cell death, linked to metastasis. However, the prognostic and immune significance methylation- anoikis-related genes in colorectal (CRC) remains unknown. Transcriptomic clinicopathological data CRC were obtained from TCGA GEO databases. A novel signature was constructed based on using univariate multivariate Cox regression as well LASSO methods. patients stratified into low- high-risk groups this signature. Differences prognosis, infiltration, drug sensitivity between two analyzed. Finally, immunohistochemistry, western blot, RT-qPCR employed validate expression key gene SERPINE1 tissues cells, effect FTO its expression. We identified 79 differentially expressed methylation-associated (RMRARGs) both cancerous normal tissues. composed 9 (BID, FASN, PLK1, CDKN3, MYC, EPHA2, SERPINE1, CD36, PDK4) established. Kaplan–Meier analysis revealed poorer prognosis group. Compared other three published models, demonstrated superior predictive performance ROC curve analysis. Functional analyses highlighted differences sensitivities signaling pathways risk groups. Furthermore, results showed that score associated with some cells checkpoints. Immunohistochemistry high tissues, positively correlated SERPINE1. blot indicated knockdown markedly downregulated levels. Our findings underscore value utility assessing status. Additionally, m6A demethylase regulates

Language: Английский

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Deciphering the prognostic significance of anoikis-related lncRNAs in invasive breast cancer: from comprehensive bioinformatics analysis to functional experimental validation

Aging, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 5, 2024

The global prevalence of breast cancer necessitates the development innovative prognostic markers and therapeutic strategies. This study investigated implications anoikis-related long non-coding RNAs (ARLs) in invasive (IBC), which is an area that has not been extensively explored. By integrating RNA sequence transcriptome clinical data from Cancer Genome Atlas (TCGA) database employing advanced regression analyses, we devised a novel model based on ARL scores. scores correlated with diverse clinicopathological parameters, cellular pathways, distinct mutation patterns, immune responses, thereby affecting both cell infiltration anticipated responses to chemotherapy immunotherapy. Additionally, overexpression specific lncRNA, AL133467.1, significantly impeded proliferation migration, as well possibly anoikis resistance cells. These findings highlight potential signature robust tool promising basis for personalized IBC treatment

Language: Английский

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Identification and validation of anoikis-related lncRNAs for prognostic significance and immune microenvironment characterization in ovarian cancer

Aging, Journal Year: 2024, Volume and Issue: 16(2), P. 1463 - 1483

Published: Jan. 15, 2024

Anoikis, a form of apoptotic cell death resulting from inadequate cell-matrix interactions, has been implicated in tumor progression by regulating angiogenesis and metastasis. However, the potential roles anoikis-related long non-coding RNAs (arlncRNAs) microenvironment are not well understood. In this study, five candidate lncRNAs were screened through least absolute shrinkage selection operator (LASSO), multivariate Cox regression analysis based on differentially expressed associated with genes (ARGs) TCGA GSE40595 datasets. The prognostic accuracy risk model was evaluated using Kaplan-Meier survival receiver operating characteristic (ROC) curves. Furthermore, Kyoto Encyclopedia Genes Genomes (KEGG) gene set enrichment (GSEA) analyses revealed significant differences immune-related hallmarks signal transduction pathways between high-risk low-risk groups. Additionally, immune infiltrate showed distribution macrophages M2, follicular T helper cells, plasma neutrophils two Lastly, silencing expression PRR34_AS1 SPAG5_AS1 significantly increased anoikis-induced ovarian cancer cells. conclusion, our study constructed that can predict clinicopathological features, characteristics, prognosis patients. identified may offer new treatment strategies for cancer.

Language: Английский

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Prognosis Prediction of Disulfidptosis-Related Genes in Bladder Cancer and a Comprehensive Analysis of Immunotherapy

Critical Reviews in Eukaryotic Gene Expression, Journal Year: 2023, Volume and Issue: 33(6), P. 73 - 86

Published: Jan. 1, 2023

As a newly discovered mechanism of cell death, disulfidptosis is expected to help diagnose and treat bladder cancer patients. First, data obtained from public databases were analyzed using bioinformatics techniques. SVA packages used combine different remove batch effects. Then, the differential analysis COX regression ten disulfidptosis-related genes identified four prognostically relevant differentially expressed which subjected Lasso for further screening obtain model-related output model formulas. The predictive power prognostic was verified immunohistochemistry in HPA database. Pathway enrichment performed identify development progression. tumor microenvironment immune infiltration patients with risk scores personalize treatment. information IMvigor210 database predict responsiveness immunotherapy. oncoPredict package sensitivity at chemotherapy drugs, its results have some reference value guiding clinical use. After confirming that our could reliably prognosis patients, combined create nomogram accurately calculate patient survival rate. A containing three (NDUFA11, RPN1, SLC3A2) constructed. functional immune-related indicated high-risk group candidates drug susceptibility can guide more accurate treatment survival. NDUFA11, SLC3A2 are potential novel biomarkers diagnosis cancer. comprehensive profiles benefit

Language: Английский

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Long Noncoding RNA LINC01614 is a Diagnostic and Prognostic Marker for Breast Cancer

Discovery Medicine, Journal Year: 2023, Volume and Issue: 35(174), P. 19 - 19

Published: Jan. 1, 2023

The long intergenic non-coding RNA 01614 (LINC01614) is aberrantly expressed in various malignancies, suggesting its role oncogenesis. However, it has not been well studied breast cancer.The cancer genome atlas databases (TCGA) and public database of gene-expression miner (bc-GenExMiner) were utilized to analyze the prognostic LINC01614 cancer. Kaplan-Meier, Cox regression analyses conducted for survival analysis. Nomograms built predict survival. We used deconvolution-based methods, such as TIMER (Tumor Immune Estimation Resource) CIBERSORT (cell-type identification by estimating relative subsets transcripts), explore relationship between immune cell characteristics.The very abnormal expression was found 14 types malignancy, including significantly overexpressed human epidermal growth factor receptor 2 (HER2)+, estrogen (ER)+, progesterone (PR)+, non-triple negative (non-TNBC). According analysis, higher related with poor co-expressed genes analysis exhibited that closely associated collagen-associated process phosphoinositide 3-kinases-protein kinase B (PI3K-Akt) signaling pathway. Moreover, this study explored association among expression, tumor-infiltrating cells, efficacy chemotherapeutics.Our data reveal pattern carcinoma different molecular subtypes. results also indicated could be a novel diagnostic marker carcinoma.

Language: Английский

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Roles of non-coding RNAs in the metabolism and pathogenesis of bladder cancer

Human Cell, Journal Year: 2023, Volume and Issue: 36(4), P. 1343 - 1372

Published: May 20, 2023

Language: Английский

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