Identification and Validation of Basement Membrane Related LncRNA Signatures as a Novel Prognostic Model for Hepatocellular Carcinoma DOI Creative Commons
Xuyang Liu, Chao Lv, Jian Zheng

и другие.

Biochemical Genetics, Год журнала: 2024, Номер unknown

Опубликована: Апрель 29, 2024

Abstract Hepatocellular carcinoma (HCC) is a significant cancer with limited treatments and poor prognosis, the basement membrane (BM) playing crucial role in its initiation growth. This study utilized data from The Cancer Genome Atlas Gene Expression Omnibus (GEO) databases to identify membrane-related genes differentially expressed HCC. Through gene co-expression analysis, BM-associated long non-coding RNAs (lncRNAs) were discovered. LncRNAs related HCC survival selected via univariate prognostic model was constructed using LASSO regression multivariate analysis. effectively classified patients into high low-risk groups, uncovering differences immune response, mutation, drug sensitivity. Six BM-related lncRNAs (GSEC, MIR4435-2HG, AC092614.1, AC127521.1, LINC02580, AC008050.1) validated normal cell lines, key of AC092614.1 regulating proliferation, migration, invasion cells vitro explored. research emphasizes therapeutic relevance HCC, highlighting AC092614.1’s disease progression as potential target for targeted therapy.

Язык: Английский

Identification and validation of PANoptosis-related LncRNAs prognosis system in hepatocellular carcinoma DOI Creative Commons
Qi Shu, Junfeng Zhu,

Jiaping Mo

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 19, 2025

Abstract Hepatocellular carcinoma (HCC) is one of the most common solid malignancies in world. Due to limited effectiveness current drug treatments, further research on HCC necessary. PANoptosis defined as an inflammatory RCD whose main features combine pyroptosis, apoptosis and necroptosis which cannot be explained by any these three RCDs alone. In HCC, risk stratification based PANoptosis-associated lncRNAs has clinical application potential. this study, we explored related PANoptosis-related (PRLs) analyzing significantly differentially expressed genes HCC. HCC-associated PRL scores were established WGCNA, LASSO analysis multivariate Cox assessment. Subsequently, verified prognostic ability score for patients, basis a assessment model its reliability. The relationship between immune infiltration well sensitivity was analyzed evaluate reference value model. Western blot PCR reliability bioinformatics results. observed suppression progression invasiveness following selected knockdown validated our Our results provide new evidence role

Язык: Английский

Процитировано

1

Hot and Cold Fibrosis: The Role of Serum Biomarkers to assess the Immune Mechanisms and ECM-Cell Interactions in Human Fibrosis DOI Creative Commons
Andressa de Zawadzki, Diana Julie Leeming, Arun J. Sanyal

и другие.

Journal of Hepatology, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Fibrosis is a pathological condition characterized by excessive accumulation of extracellular matrix (ECM) components, particularly collagens, leading to tissue scarring and organ dysfunction. In fibrosis, an imbalance between collagen synthesis (fibrogenesis) degradation (fibrolysis) results in the deposition fibrillar collagens disrupting structural integrity ECM and, consequently, architecture. associated with wide range chronic diseases, including liver cirrhosis, kidney pulmonary autoimmune diseases. Recently, concept "hot" "cold" fibrosis has emerged, referring immune status within fibrotic tissues nature fibrogenic signaling. Hot active cell infiltration inflammation, while cold auto- paracrine myofibroblast activation, exclusion quiescence. This article aims explore relationship hot role various types their biologically fragments modulating system, how serological biomarkers can help understanding disease-relevant interactions mesenchymal cells tissues. Additionally, we draw lessons from immuno-oncology research solid tumors shed light on potential strategies for treatment highlight advantage having "hot environment" treat enhancing through modulation system.

Язык: Английский

Процитировано

1

Prognosis prediction of head and neck squamous cell carcinoma through the basement membrane-related lncRNA risk model DOI Creative Commons
Wen Bu, Mingguo Cao, Xinru Wu

и другие.

Frontiers in Molecular Biosciences, Год журнала: 2024, Номер 11

Опубликована: Окт. 23, 2024

Background Head and neck squamous cell carcinoma (HNSCC) ranks among the most widespread significantly heterogeneous malignant tumors globally. Increasing evidence suggests that basement membrane (BM) associated long non-coding RNAs (lncRNA) are correlated with onset of HNSCC its prognosis. Our study aims to construct a membrane-associated lncRNAs (BMlncRNAs) marker accurately predict prognosis patients find novel immunotherapy targets. Methods The Cancer Genome Atlas (TCGA) database was accessed acquire transcriptome expression matrices, somatic mutation data, clinical follow-up data patients. Utilizing co-expression analysis, BMlncRNAs were identified differentially expressed (DEBMlncRNA) then filtered, filtering thresholds FDR<0.05 |log2FC|≥1. Furthermore, univariate least absolute shrinkage selection operator (LASSO), multivariable Cox regression utilized develop risk model. model underwent thorough evaluation across diverse perspectives, encompassing tumor immune infiltration, burden (TMB), functional enrichment, chemotherapy sensitivity. Results assessment consists 14 BMlncRNA pairs. acquired is indicative reliability score in capacity as prognostic factor. Individuals at high exhibited poorer prognosis, statistically significant variance noted TMB infiltration compared low-risk group. Additionally, heightened sensitivity paclitaxel docetaxel evident risk. Conclusion We have established BMLncRNA-based can provide guidance for future laboratory studies HNSCC.

Язык: Английский

Процитировано

1

Identification and Validation of Basement Membrane Related LncRNA Signatures as a Novel Prognostic Model for Hepatocellular Carcinoma DOI Creative Commons
Xuyang Liu, Chao Lv, Jian Zheng

и другие.

Biochemical Genetics, Год журнала: 2024, Номер unknown

Опубликована: Апрель 29, 2024

Abstract Hepatocellular carcinoma (HCC) is a significant cancer with limited treatments and poor prognosis, the basement membrane (BM) playing crucial role in its initiation growth. This study utilized data from The Cancer Genome Atlas Gene Expression Omnibus (GEO) databases to identify membrane-related genes differentially expressed HCC. Through gene co-expression analysis, BM-associated long non-coding RNAs (lncRNAs) were discovered. LncRNAs related HCC survival selected via univariate prognostic model was constructed using LASSO regression multivariate analysis. effectively classified patients into high low-risk groups, uncovering differences immune response, mutation, drug sensitivity. Six BM-related lncRNAs (GSEC, MIR4435-2HG, AC092614.1, AC127521.1, LINC02580, AC008050.1) validated normal cell lines, key of AC092614.1 regulating proliferation, migration, invasion cells vitro explored. research emphasizes therapeutic relevance HCC, highlighting AC092614.1’s disease progression as potential target for targeted therapy.

Язык: Английский

Процитировано

0