Journals / Ege Tıp Dergisi / 2022 / Cilt: 61 - Sayı: 2

Evaluation of tumoral glypican 3 mRNA level as a diagnostic and prognostic biomarker for hepatitis-b virus-associated hepatocellular carcinoma by an integrative transcriptomic meta-analysis and bioinformatics

Hepatit-B virüs ilişkili hepatosellüler karsinomda tümöral glipikan 3 mRNA seviyesinin diagnostik ve prognostik biyobelirteç olabilme potansiyelinin entegratif transkriptomik meta-analiz ve biyoinformatik ile değerlendirilmesi

Pages
249–258
Publication Date
2022-10-17
DOI
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⚡ TL;DR(Too Long; Didn't Read)

It was found that GPC3 mRNA level could distinguish HCC from adjacent tissues with high specificity and sensitivity (AUC=0.9108;95%CI=0.08792-0.9424;p

📌 3 Key Takeaways

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Objective & Hypothesis:Aim: The aim of this study is to evaluate the potential of GPC3 mRNA level as a diagnostic and prognostic biomarker for HBV-associated HCC.
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Key Findings & Data:Materials and Methods: GPC3 mRNA expression in HBV-associated HCC tumor tissues compared to matched adjacent tissues was evaluated by integrative transcriptomic meta-analysis.
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Conclusion & Impact:It was found that GPC3 mRNA level could distinguish HCC from adjacent tissues with high specificity and sensitivity (AUC=0.9108;95%CI=0.08792-0.9424;p
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Aim: The aim of this study is to evaluate the potential of GPC3 mRNA level as a diagnostic and prognostic biomarker for HBV-associated HCC. Materials and Methods: GPC3 mRNA expression in HBV-associated HCC tumor tissues compared to matched adjacent tissues was evaluated by integrative transcriptomic meta-analysis. The results were validated in a different patient cohort and the possible associations between GPC3 mRNA level and the clinical variables were evaluated. Results: Transcriptomic data of HBV-associated HCC tissues (n=61) and matched adjacent tissues (n=61) from four datasets (GSE19665;GSE84402;GSE121248;GSE55092) were included in the meta-analysis. GPC3 mRNA level was found to be higher in tumors than adjacent tissues (fold change=12.88; p= 0;FDR=0). The result was validated in GSE14520, (HBV-associated HCC(n)=203; matched adjacent tissue(n)=203), (log-fold-change= 4.82; adj.p=1.43E-79). It was found that GPC3 mRNA level could distinguish HCC from adjacent tissues with high specificity and sensitivity (AUC=0.9108;95%CI=0.08792-0.9424;p

Özet

Amaç: Bu çalışmanın amacı HBV-ilişkili hepatosellüler kansinom hastalarında tümöral GPC3 mRNA seviyesinin diagnostik ve prognostik biyobelirteç olabilme potansiyelinin değerlendirilmesidir. Gereç ve Yöntem: Eşlenik tümör içermeyen karaciğer dokularına göre HBV-ilişkili HCC tümör dokularında GPC3 mRNA ekspresyonu entegratif transkriptomik meta-analiz yöntemi ile belirlendi. Sonuçlar farklı bir hasta kohortunda valide edildi ve GPC3 mRNA seviyesi ile klinik değişkenler arasındaki ilişki değerlendirildi. Bulgular: Meta-analize 4 farklı veri setinden (GSE19665;GSE84402;GSE121248;GSE55092) HBV-ilişkili hepatosellüler karsinom dokuları (n=61) ile eşlenik tümör içermeyen dokulara (n=61) ait transkriptomik veriler dahil edildi. GPC3 mRNA seviyesi’nin eşlenik dokulara göre tümörde daha yüksek olduğu bulundu (kat değişimi=12,88; p=0; FDR=0). Sonuçlar GSE14520 veri setinde (HBV-ilişkili HCC tümör (n)=203;eşlenik non-tümöral doku (n)=203) valide edildi (log-kat değişimi= 4,82; adj.p=1, 43 E-79). ROC analizi sonucunda GPC3 mRNA seviyesinin tümör dokularını tümör içermeyen eşlenik karaciğer dokularından yüksek spesifite ve sensitivite ile ayırabildiği bulundu (n=203;AUC=0,9108;%95CI=0,08792-0,9424;p

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Cite This Article

ATAY, S. (2022). Evaluation of tumoral glypican 3 mRNA level as a diagnostic and prognostic biomarker for hepatitis-b virus-associated hepatocellular carcinoma by an integrative transcriptomic meta-analysis and bioinformatics. Ege Tıp Dergisi, Cilt: 61 - Sayı: 2, 249–258. https://ajindex.com/articles/495973

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