A New Cuproptosis-Related lncRNAs Model for Predicting the Prognosis of Hepatitis B Virus-Associated Hepatocellular Carcinoma and Experimental Validation of LINC01269 DOI Creative Commons
Chuanbing Shi,

Yintao Sun,

Ling Sha

et al.

International Journal of General Medicine, Journal Year: 2024, Volume and Issue: Volume 17, P. 6009 - 6027

Published: Dec. 1, 2024

Hepatocellular carcinoma (HCC) triggered by Hepatitis B virus (HBV) remains a significant clinical challenge, necessitating novel therapeutic interventions. Copper ionophores, recognized for introducing an innovative type of programmed cell death termed cuproptosis, present promising potentials cancer therapy. Nevertheless, The role cuproptosis-related lncRNAs (CRLRs) in HBV-HCC has not been clearly elucidated. This study utilised univariate Cox, least absolute shrinkage and selection operator (LASSO), multivariable Cox regression analyses to establish signature CRLRs HBV-HCC. prognostic model was validated with independent internal validation cohort, combined parameters, used construct nomogram patient survival predictions. Gene Ontology (GO) Set Enrichment Analysis (GSEA) were employed explore associated biological pathways. Additionally, protein-protein interaction (PPI) network developed, implications tumour mutational burden (TMB) drug response examined. A comprehensive bioinformatics analysis these hub performed, followed experimental through quantitative real-time PCR (qRT-PCR) functional cellular assays. showed high predictive accuracy survival. GO GSEA indicated that are involved pathways related oestrogen metabolism. PPI consisting 201 nodes 568 edges the TMB differed significantly between high- low-risk groups. Analyses identified three CRLRs, SOS1-IT1, AC104695.3, LINC01269, which differentially expressed HCC tissues. In vitro, LINC01269 found enhance proliferation, invasion, migration. first systematic exploration roles demonstrates their critical involvement disease's pathogenesis possible implication. distinct expression patterns suggest may facilitate targets.

Language: Английский

lncRNAs as prognostic markers and therapeutic targets in cuproptosis-mediated cancer DOI Creative Commons
Asif Ahmad Bhat, Muhammad Afzal, Ehssan Moglad

et al.

Clinical and Experimental Medicine, Journal Year: 2024, Volume and Issue: 24(1)

Published: Sept. 26, 2024

Abstract Long non-coding RNAs (lncRNAs) have emerged as crucial regulators in various cellular processes, including cancer progression and stress response. Recent studies demonstrated that copper accumulation induces a unique form of cell death known cuproptosis, with lncRNAs playing key role regulating cuproptosis-associated pathways. These may trigger cell-specific responses to stress, presenting new opportunities prognostic markers therapeutic targets. This paper delves into the cuproptosis-mediated cancer, underscoring their potential biomarkers targets for innovative strategies. A thorough review scientific literature was conducted, utilizing databases such PubMed, Google Scholar, ScienceDirect, search terms like 'lncRNAs,' 'cuproptosis,' 'cancer.' Studies were selected based on relevance lncRNA regulation cuproptosis pathways implications prognosis treatment. The highlights significant contribution cuproptosis-related genes pathways, impacting metabolism, mitochondrial responses, apoptotic signaling. Specific are breast, lung, liver, ovarian, pancreatic, gastric cancers. objective this article is explore cancers mediated by cuproptosis.

Language: Английский

Citations

9
Harnessing nanomaterials for copper-induced cell death DOI

Su-Ran Li,

Shi-Yue Tao,

Qian Li

et al.

Biomaterials, Journal Year: 2024, Volume and Issue: 313, P. 122805 - 122805

Published: Sept. 3, 2024

Language: Английский

Citations

5
Long Non-Coding RNAs in Drug Resistance of Gastric Cancer: Complex Mechanisms and Potential Clinical Applications DOI Creative Commons
Xiangyu Meng, Xiao Bai,

Angting Ke

et al.

Biomolecules, Journal Year: 2024, Volume and Issue: 14(6), P. 608 - 608

Published: May 22, 2024

Gastric cancer (GC) ranks as the third most prevalent malignancy and a leading cause of cancer-related mortality worldwide. However, majority patients with GC are diagnosed at an advanced stage, highlighting urgent need for effective perioperative postoperative chemotherapy to prevent relapse metastasis. The current treatment strategies have limited overall efficacy because intrinsic or acquired drug resistance. Recent evidence suggests that dysregulated long non-coding RNAs (lncRNAs) play significant role in mediating resistance GC. Therefore, there is imperative explore novel molecular mechanisms underlying order overcome this challenging issue. With advancements deep transcriptome sequencing technology, lncRNAs—once considered transcriptional noise—have garnered widespread attention potential regulators carcinogenesis, including tumor cell proliferation, metastasis, sensitivity chemo- radiotherapy through multiple regulatory mechanisms. In light these findings, we aim review by which lncRNAs contribute therapy goal providing new insights breakthroughs toward overcoming formidable obstacle.

Language: Английский

Citations

3
The functions of cuproptosis in gastric cancer: therapy, diagnosis, prognosis DOI Open Access
Zhiqin Zhang,

Shenhua Shao,

Hao Luo

et al.

Biomedicine & Pharmacotherapy, Journal Year: 2024, Volume and Issue: 177, P. 117100 - 117100

Published: July 15, 2024

Gastric cancer (GC) is the fifth most prevalent type of in whole world. Cuproptosis discovered as a programmed cell death pathway and connected to cells' growth death, well tumorigenesis. The relationship between cuproptosis GC still elusive. Two aspects this study will elaborate immunotherapy biomarkers GC. Notably, herein review intended highlight what has been accomplished regarding for diagnosis, immunotherapy, prognosis aim offer potential directions strategies future research inside

Language: Английский

Citations

3
Construction of a cuproptosis‑related lncRNA signature to predict biochemical recurrence of prostate cancer DOI Open Access

Zhaojun Yu,

Huanhuan Deng,

Haichao Chao

et al.

Oncology Letters, Journal Year: 2024, Volume and Issue: 28(5)

Published: Sept. 3, 2024

Biochemical recurrence (BCR) is common in prostate cancer (PCa), and patients with BCR usually have a poor prognosis. Cuproptosis unique type of cell death, copper homeostasis crucial to the occurrence development malignancies. The present study aimed explore prognostic value cuproptosis‑related long non‑coding RNAs (lncRNAs; CRLs) PCa develop predictive signature for forecasting PCa. Using Cancer Genome Atlas database, transcriptomic, mutation clinical data were collected from A total 121 CRLs identified using Pearson's correlation coefficient. Subsequently, 6‑CRL consisting AC087276.2, CNNM3‑DT, AC090198.1, AC138207.5, METTL14‑DT LINC01515 was created predict through Cox least absolute shrinkage selection operator regression analyses. Kaplan‑Meier curve analysis demonstrated that high‑risk had low BCR‑free survival rate. In addition, there substantial difference between high‑ low‑risk groups immune microenvironment, therapy, drug sensitivity tumor mutational burden. nomogram integrating Gleason score, T‑stage established evaluated. Finally, expression lncRNAs cells verified reverse transcription‑quantitative PCR. conclusion, may be potential tool making predictions regarding PCa, considered practical decision‑making.

Language: Английский

Citations

3
Study on the role and pharmacology of cuproptosis in gastric cancer DOI Creative Commons
Lin Jiang,

Junzuo Liao,

Yunwei Han

et al.

Frontiers in Oncology, Journal Year: 2023, Volume and Issue: 13

Published: March 17, 2023

Gastric cancer has a poor prognosis and high mortality. Cuproptosis, novel programmed cell death, is rarely studied in gastric cancer. Studying the mechanism of cuproptosis conducive to development new drugs, improving patients reducing burden disease.The TCGA database was used obtain transcriptome data from tissues adjacent tissues. GSE66229 for external verification. Overlapping genes were obtained by crossing differential analysis with those related copper death. Eight characteristic three dimensionality reduction methods: lasso, SVM, random forest. ROC nomogram estimate diagnostic efficacy genes. The CIBERSORT method assess immune infiltration. ConsensusClusterPlus subtype classification. Discovery Studio software conducts molecular docking between drugs target proteins.We have established early diagnosis model eight (ENTPD3, PDZD4, CNN1, GTPBP4, FPGS, UTP25, CENPW, FAM111A) results are validated internal data, predictive power good. classification type samples performed based on consensus clustering method. We identified C2 as an C1 non-immune subtype. Small molecule drug targeting associated predicts potential therapeutics Molecular revealed multiple forces Dasatinib CNN1.The candidate may be effective treating affecting expression signature gene.

Language: Английский

Citations

9
Dual identity of tumor-associated macrophage in regulated cell death and oncotherapy DOI Creative Commons
Yingying Shao, Yu Wang,

Ranran Su

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(7), P. e17582 - e17582

Published: June 26, 2023

Tumor-associated macrophage (TAM) affects the intrinsic properties of tumor cells and microenvironment (TME), which can stimulate cell proliferation, migration, genetic instability, diversity includes tumors with different functional characteristics. Macrophages are now a central drug target in various diseases, especially TME, which, as "tumor promoters" "immunosuppressors", have responsibilities during development accompany by significant dynamic alterations subpopulations. Remodelling immunosuppression TME promotion pre-existing antitumor immune responses is critical altering TAM polarization, relevant to efficacy immunotherapy, uncovering exact mechanism action TAMs identifying their specific targets vital optimizing current immunotherapies. Hence, this review aims reveal triadic interactions macrophages programmed death oncotherapy, integrate certain relationships cancer treatment.

Language: Английский

Citations

4
A New Cuproptosis-Related lncRNAs Model for Predicting the Prognosis of Hepatitis B Virus-Associated Hepatocellular Carcinoma and Experimental Validation of LINC01269 DOI Creative Commons
Chuanbing Shi,

Yintao Sun,

Ling Sha

et al.

International Journal of General Medicine, Journal Year: 2024, Volume and Issue: Volume 17, P. 6009 - 6027

Published: Dec. 1, 2024

Hepatocellular carcinoma (HCC) triggered by Hepatitis B virus (HBV) remains a significant clinical challenge, necessitating novel therapeutic interventions. Copper ionophores, recognized for introducing an innovative type of programmed cell death termed cuproptosis, present promising potentials cancer therapy. Nevertheless, The role cuproptosis-related lncRNAs (CRLRs) in HBV-HCC has not been clearly elucidated. This study utilised univariate Cox, least absolute shrinkage and selection operator (LASSO), multivariable Cox regression analyses to establish signature CRLRs HBV-HCC. prognostic model was validated with independent internal validation cohort, combined parameters, used construct nomogram patient survival predictions. Gene Ontology (GO) Set Enrichment Analysis (GSEA) were employed explore associated biological pathways. Additionally, protein-protein interaction (PPI) network developed, implications tumour mutational burden (TMB) drug response examined. A comprehensive bioinformatics analysis these hub performed, followed experimental through quantitative real-time PCR (qRT-PCR) functional cellular assays. showed high predictive accuracy survival. GO GSEA indicated that are involved pathways related oestrogen metabolism. PPI consisting 201 nodes 568 edges the TMB differed significantly between high- low-risk groups. Analyses identified three CRLRs, SOS1-IT1, AC104695.3, LINC01269, which differentially expressed HCC tissues. In vitro, LINC01269 found enhance proliferation, invasion, migration. first systematic exploration roles demonstrates their critical involvement disease's pathogenesis possible implication. distinct expression patterns suggest may facilitate targets.

Language: Английский

Citations

0