Construction and validation of a cuproptosis-related genes prognostic model for hepatocellular carcinoma DOI Creative Commons
Xue Wang, Shanshan Ma, Rui Zhu

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 28, 2023

Abstract Background Hepatocellular carcinoma (HCC) is one of the most common malignant tumors with a poor prognosis. Cuproptosis recently confirmed novel kind programmed cell death and associated variety cancer. However, prognostic value cuproptosis-related genes (CRGs) still limited in HCC. Methods Gene expression data clinical information HCC patients were downloaded from Cancer Genome Altas (TCGA) Gene-Expression Omnibus (GEO) databases. Differential analysis was performed to identify differentially expressed CRGs. Then univariate multivariate Cox regression analyses applied screen out prognosis-related CRGs construct CRG models. The Kaplan-Meier survival Receiver operating characteristic (ROC) curves employed assess values model. Cibersort used evaluate relationship between model immune infiltration. In addition, Set Enrichment Analysis (GSEA) explore molecular mechanism Results A total 120 screened. containing three (ABCB6, AACS, CKAP2) constructed for independently predicting prognosis showed that high-risk group had significantly shorter overall (OS). ROC indicated better than single gene rates. Univariate demonstrated an independent predictor. Moreover, correlated stromal score, tumor purity T cells folicular helper, regulator, macrophages M0. GSEA revealed cycle, oocyte meiosis, mitotic nuclear division, DNA replication pathways mainly enriched group. Conclusion This study HCC, which has high predictive efficacy. These findings extend knowledge provide theoretical support prediction, may inform new therapeutic strategies

Language: Английский

An integrative machine learning framework for classifying SEER breast cancer DOI Creative Commons

P. Manikandan,

U. Durga,

C Ponnuraja

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: April 1, 2023

Abstract Breast cancer is the commonest type of in women worldwide and leading cause mortality for females. The aim this research to classify alive death status breast patients using Surveillance, Epidemiology, End Results dataset. Due its capacity handle enormous data sets systematically, machine learning deep has been widely employed biomedical answer diverse classification difficulties. Pre-processing enables visualization analysis use making important decisions. This presents a feasible learning-based approach categorizing SEER Moreover, two-step feature selection method based on Variance Threshold Principal Component Analysis was select features from After selecting features, dataset carried out Supervised Ensemble techniques such as Ada Boosting, XG Gradient Naive Bayes Decision Tree. Utilizing train-test split k-fold cross-validation approaches, performance various algorithms examined. accuracy Tree both cross validation achieved 98%. In study, it observed that algorithm outperforms other supervised ensemble approaches Cancer

Language: Английский

Citations

27
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

11
Application value of circulating LncRNA in diagnosis, treatment, and prognosis of breast cancer DOI
Ming Li, Yuan Zhao, Huimin Li

et al.

Functional & Integrative Genomics, Journal Year: 2023, Volume and Issue: 23(1)

Published: Feb. 15, 2023

Language: Английский

Citations

20
A prospective prognostic signature for pancreatic adenocarcinoma based on ubiquitination-related mRNA-lncRNA with experimental validation in vitro and vivo DOI Creative Commons

Zhizhou Wang,

Qihang Yuan, Xu Chen

et al.

Functional & Integrative Genomics, Journal Year: 2023, Volume and Issue: 23(3)

Published: Aug. 4, 2023

Ubiquitination-related genes (URGs) exerted a crucial part in variety of human disease disorders; however, their association with pancreatic adenocarcinoma (PAAD) had yet to be clearly described. We aimed comprehensively characterize the contributions URGs PAAD through silico analysis and experimental validation, then identified robust mRNA-lncRNA-based molecular prognostic panel for patients using bulk RNA-sequencing single-cell data. Initially, we collected multi-omics data from TCGA platform depict comprehensive landscape pan-cancer. Furthermore, were accurate in-depth analysis. Significant differences activation ubiquitination pathways expression detected between normal malignant cells. Unsupervised hierarchical clustering determined two subtypes distinct clinical outcomes, pathway activities, immune microenvironment, functional annotation characteristics. The profiles ubiquitination-associated mRNAs lncRNAs training validation datasets utilized develop verify novel ubiquitination-related mRNA-lncRNA panel, which satisfied prediction efficiency. Our model could function as an effective index outperformed four other recognized panels evaluating patients' survival status. Tumor mutation burden, chemotherapy response intensively explored demonstrate underlying mechanism difference according our panel. findings also revealed that FTI-277, farnesyltransferase inhibitor, better curative effect high-risk patients, while MK-2206, Akt allosteric superior therapeutic low-risk patients. real-time PCR results uncovered RNA AC005062.1 all three cell lines was elevated several thousandfold. In conclusion, URGs-based classification triumphantly served tool evaluation PAAD, this developed potential target therapy.

Language: Английский

Citations

20
Targeting the initiator to activate both ferroptosis and cuproptosis for breast cancer treatment: progress and possibility for clinical application DOI Creative Commons

Murshid Imam,

Jiale Ji,

Zhijie Zhang

et al.

Frontiers in Pharmacology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 10, 2025

Breast cancer is the most commonly diagnosed worldwide. Metal metabolism pivotal for regulating cell fate and drug sensitivity in breast cancer. Iron copper are essential metal ions critical maintaining cellular function. The accumulation of iron triggers distinct death pathways, known as ferroptosis cuproptosis, respectively. Ferroptosis characterized by iron-dependent lipid peroxidation, while cuproptosis involves copper-induced oxidative stress. They increasingly recognized promising targets development anticancer drugs. Recently, compelling evidence demonstrated that interplay between plays a crucial role progression. This review elucidates converging pathways Moreover, we examined value genes associated with clinical diagnosis treatment cancer, mainly outlining potential co-targeting approach. Lastly, delve into current challenges limitations this strategy. In general, offers an overview interaction offering valuable perspectives further research treatment.

Language: Английский

Citations

0
Non-coding RNA’s prevalence as biomarkers for prognostic, diagnostic, and clinical utility in breast cancer DOI
Rafat Ali,

Sorforaj A. Laskar,

Nida Jamil Khan

et al.

Functional & Integrative Genomics, Journal Year: 2023, Volume and Issue: 23(2)

Published: June 1, 2023

Language: Английский

Citations

7
Taraxasterol stimulates apoptosis of BCa cells via restraining PI3K/AKT and epidermal growth factor receptor (EGFR) DOI Open Access
Yanjun Hu, Xiping Zhang, Shuai Zhao

et al.

European Journal of Gynaecological Oncology, Journal Year: 2024, Volume and Issue: 45(1), P. 42 - 42

Published: Jan. 1, 2024

Breast cancer (BCa) is a prevalent form of tumor, necessitating the development more effective therapeutic drugs to improve patient prognosis.Taraxasterol (TAX), derived from dandelion plant, has demonstrated significant physiological and pharmacological activity, but its role in BCa underlying mechanism remains unexplored.In this study, we investigate effects TAX on growth, motility apoptosis cells vitro determine mechanistic actions.Our results demonstrate that significantly reduces both proliferation induces cells, as confirmed through flow cytometry (FCM).This apoptotic effect was further supported by JC-1 staining, which showed alterations mitochondrial membrane potential after treatment.Mechanistically, suppresses phosphatidylinositide 3-kinases/protein kinase B (PI3K/AKT) EGFR pathways impedes progression.Collectively, stimulates cell inhibiting PI3K/AKT pathways.

Language: Английский

Citations

2
Cuproptosis-associated ncRNAs predict breast cancer subtypes DOI Creative Commons
Qing Xia, Jinze Shen,

Qurui Wang

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(2), P. e0299138 - e0299138

Published: Feb. 26, 2024

Background Cuproptosis is a novel copper-dependent mode of cell death that has recently been discovered. The relationship between Cuproptosis-related ncRNAs and breast cancer subtypes, however, remains to be studied. Methods aim this study was construct subtype prediction model associated with Cuproptosis. This could used determine the patients. To achieve aim, 21 genes were obtained from published articles correlation analysis performed differentially expressed in cancer. Random forest algorithms subsequently utilized select important build models. Results A total 94 significantly top five essential features chosen predictive model. These biomarkers subtypes closely immune infiltration, RNA modification, angiogenesis. Conclusion random constructed based on able accurately predict providing new direction for clinical therapeutic targets.

Language: Английский

Citations

2
Construction and experimental validation of a macrophage cell senescence-related gene signature to evaluate the prognosis, immunotherapeutic sensitivity, and chemotherapy response in bladder cancer DOI
Qijun Jiang, Junhao Zhou, Qi Chen

et al.

Functional & Integrative Genomics, Journal Year: 2023, Volume and Issue: 23(3)

Published: July 10, 2023

Language: Английский

Citations

4
Elucidating the evolving role of cuproptosis in breast cancer progression DOI Creative Commons
Zhanyong Zhu,

Keyu Zhu,

Jun Zhang

et al.

International Journal of Biological Sciences, Journal Year: 2024, Volume and Issue: 20(12), P. 4872 - 4887

Published: Jan. 1, 2024

Breast cancer (BC) persists as a highly prevalent malignancy in females, characterized by diverse molecular signatures and necessitating personalized therapeutic approaches. The equilibrium of copper within the organism is meticulously maintained through regulated absorption, distribution, elimination, underpinning not only cellular but also various essential biological functions. process cuproptosis initiated copper's interaction with lipoylases tricarboxylic acid (TCA) cycle, which triggers conglomeration lipoylated proteins diminishes integrity Fe-S clusters, culminating cell demise proteotoxic stress. In BC, aberrations are prominent represent crucial incident that contributes to disease progression. It influences BC metabolism affects critical traits such proliferation, invasiveness, resistance chemotherapy. Therapeutic strategies target have shown promising antitumor efficacy. Moreover, plethora cuproptosis-centric genes, including cuproptosis-related genes (CRGs), CRG-associated non-coding RNAs (ncRNAs), cuproptosis-associated regulators, been identified, offering potential for development risk assessment models or diagnostic signatures. this review, we provide comprehensive exposition fundamental principles cuproptosis, its influence on malignant phenotypes prognostic implications cuproptosis-based markers, substantial prospects exploiting therapy, thereby laying theoretical foundation targeted interventions domain.

Language: Английский

Citations

1