N6-methyladenosine regulators in hepatocellular carcinoma: investigating the precise definition and clinical applications of biomarkers
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Le résumé fourni par la source
BACKGROUND: Accurately identifying effective biomarkers and translating them into clinical practice have significant implications for improving clinical outcomes in hepatocellular carcinoma (HCC). In this study, our objective is to explore appropriate methods to improve the accuracy of biomarker identification and investigate their clinical value. METHODS: Concentrating on the N6-methyladenosine (m6A) modification regulators, we utilized dozens of multi-omics HCC datasets to analyze the expression patterns and genetic features of m6A regulators. Through the integration of big data analysis with function experiments, we have redefined the biological roles of m6A regulators in HCC. Based on the key regulators, we constructed m6A risk models and explored their clinical value in estimating prognosis and guiding personalized therapy for HCC. RESULTS: Most m6A regulators exhibit abnormal expression in HCC, and their expression is influenced by copy number variations (CNV) and DNA methylation. Large-scale data analysis has revealed the biological roles of many key m6A regulators, and these findings are well consistent with experimental results. The m6A risk models offer significant prognostic value. Moreover, they assist in reassessing the therapeutic potential of drugs such as sorafenib, gemcitabine, CTLA4 and PD1 blockers in HCC. CONCLUSIONS: Our findings suggest that the mutual validation of big data analysis and functional experiments may facilitate the precise identification and definition of biomarkers, and our m6A risk models may have the potential to guide personalized chemotherapy, targeted treatment, and immunotherapy decisions in HCC.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- N6-methyladenosine regulators in hepatocellular carcinoma: investigating the precise definition and clinical applications of biomarkers
- Date Crossref
- 07/11/2024
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Zunyi Medical University Department of Oncology pays non établi dans la noticeUniversité ou école supérieure
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Affiliated Hospital of Zunyi Medical College pays non établi dans la noticeÉtablissement de santé
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Zhejiang Cancer Hospital pays non établi dans la noticeÉtablissement de santé
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Shanghai Molecular Medicine Engineering Technology Research Center pays non établi dans la noticeStructure de recherche
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Shanghai National Engineering Research Center of Biochip pays non établi dans la noticeStructure de recherche
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The People's Hospital of Suiyang Department of Nursing pays non établi dans la noticeÉtablissement de santé
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Suiyang County Traditional Chinese Medicine Hospital Department of Surgery pays non établi dans la noticeÉtablissement de santé
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Hangzhou Institute of Medicine (HIM) Department of Hepatopancreatobiliary Surgery pays non établi dans la noticeStructure de recherche
Department of Oncology — Zunyi Medical University, Affiliated Hospital of Zunyi Medical College et Zhejiang Cancer Hospital, avec 5 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.