Comprehensive Analysis of m7G-Related Genes and Chronic Hepatitis B: Diagnostic Markers, Immune Microenvironment Regulation, Disease Progression

Zhang, Rongzheng; Yan, Xiaoxiao; Dong, Jun; Ju, Xiaomei; Zhou, Kun; Cao, Xinyang; Li, Jiaqi; Ru, Jiaqiu; Guo, Mengrui; Zhang, Shuyun

doi:10.1155/2023/9471520

Cited by 3 publications

(2 citation statements)

References 62 publications

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“…While the regulatory mechanisms of METTL1 and WDR4 by HBV have yet to be elucidated, our study provides evidence of HBV-mediated upregulation of METTL1 and WDR4 expression. This finding aligns with a report of increased expression of METTL1 and WDR4 in HBV-infected tissues, which is the only study investigating m7G modification in chronic HBV infection [32]. In that study, the investigators clarified the relationship between m7G-related genes in HBV-infected liver tissues and the immune microenvironment as well as disease progression.…”

Section: Discussionsupporting

confidence: 88%

Transcriptome-Wide Dynamics of m7G-Related LncRNAs during the Progression from HBV Infection to Hepatocellular Carcinoma

Shi,

Zhu,

Sun

et al. 2023

Front. Biosci. (Landmark Ed)

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Background:The functional ramifications of internal N7-methylguanosine (m7G) modification on RNAs have recently come to light, yet its regulatory influence on long noncoding RNAs (lncRNAs) during the inflammatory-carcinogenesis transformation process in hepatitis B virus (HBV)-mediated hepatocellular carcinoma (HCC) remains largely unexplored. Methods: Clinical surgical samples encompassing HBV-related HCC, comprising both HCC tissue (tumor group, HBV+) and corresponding adjacent liver tissue (paracancerous group, HBV+), were collected for analysis. Additional adjacent normal liver tissues (normal group, HBV-) were acquired from patients with hepatic hemangioma, serving as controls. Employing MeRIP-seq, differential m7G levels of lncRNAs across these groups were compared to identify a subset of lncRNAs exhibiting continuous and dynamic changes in m7G modification. Subsequently, in vitro validation was conducted. Results: A total of 856 lncRNAs exhibited alterations in m7G modification when compared to paracancerous tissue and normal tissue. Similarly, 1775 lncRNAs displayed changes in m7G modification when comparing HCC tissue to paracancerous tissue. For intergroup comparison, orthogonal analysis revealed that 6 lncRNAs consistently demonstrated hyper-m7G modification.In vitro validation confirmed that among these 6 lncRNAs, TEKT4P2 and DNM1P41 exhibited m7G modification-dependent expression. Conclusions: This study provides a comprehensive analysis of lncRNA m7G modification during the inflammatory-carcinogenesis transformation process in HBV-mediated HCC. The findings highlight the potential for multiple lncRNAs to undergo m7G modification changes, with TEKT4P2 and DNM1P41 identified as promising molecular targets within this intricate regulatory landscape.

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Section: Discussionsupporting

confidence: 88%

Transcriptome-Wide Dynamics of m7G-Related LncRNAs during the Progression from HBV Infection to Hepatocellular Carcinoma

Shi,

Zhu,

Sun

et al. 2023

Front. Biosci. (Landmark Ed)

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“… 38 , 39 Through data mining, Zhang et al found that M7G-related genes can not only be used as diagnostic markers for chronic hepatitis B, but also participate in the regulation of immune microenvironment and play an important role in the progression of chronic hepatitis B. 40 Therefore, multi-omics combined analysis has great development potential and application value.…”

Section: Introductionmentioning

confidence: 99%

The Characteristics of Transcription Factors Regulating T Cell Exhaustion Were Analyzed to Predict the Prognosis and Therapeutic Effect in Patients with HCC

Li,

Zhou,

et al. 2023

IJGM

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Purpose Hepatocellular carcinoma (HCC) ranks as the third leading cause of cancer-related deaths, posing a significant threat to people in diverse regions. T-cell exhaustion (Tex) can hinder the efficacy of immunotherapy in patients with HCC, and the transcription factors that regulate Tex in HCC have not yet been fully elucidated. Patients and Methods We used the single sample gene set enrichment analysis (ssGSEA) method to define the transcription factor pathway that regulates Tex and employed LASSO regression analysis to establish Tex related genes (TEXRS). To predict differences in immunotherapy efficacy between the two groups, we used the immunophenotype score and submap algorithm. RT-qPCR was used to detect the expression levels of the model genes in 21 pairs of HCC tissues. Finally, we assessed the cell communication strength and identified ligand receptors using the “CellChat” R package. Results Nine Tex transcription factors were identified as regulators of the HCC immune microenvironment, with Tex scores affecting patient survival. Patients with a high Tex Risk Score (TEXRS) had significantly worse overall survival compared to patients with low TEXRS. After adjusting for confounding factors, TEXRS remained an independent prognostic factor. Importantly, TEXRS performed well in multiple independent external validation cohorts. Various algorithms have shown that patients in the low-TEXRS group might benefit more from immunotherapy. Finally, RT-qPCR analysis of 21 HCC samples showed that C7, CD5L, and SDS were significantly downregulated in HCC tissues, consistent with the bioinformatics analysis results. Conclusion TEXRS proved to be a valuable predictor of immunotherapy and transcatheter arterial chemoembolization efficacy in patients with HCC. This holds promise for enhancing the prognosis and treatment outcomes of patients with HCC.

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Micro Segment Analysis and Machine Learning Prediction for Thermal-Hydraulic Parameters of Propane Condensation Flow in a Pche Straight Channel

Fu,

Zhang,

Shi

et al. 2023

Preprint

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Comprehensive Analysis of m7G-Related Genes and Chronic Hepatitis B: Diagnostic Markers, Immune Microenvironment Regulation, Disease Progression

Cited by 3 publications

References 62 publications

Transcriptome-Wide Dynamics of m7G-Related LncRNAs during the Progression from HBV Infection to Hepatocellular Carcinoma

Transcriptome-Wide Dynamics of m7G-Related LncRNAs during the Progression from HBV Infection to Hepatocellular Carcinoma

The Characteristics of Transcription Factors Regulating T Cell Exhaustion Were Analyzed to Predict the Prognosis and Therapeutic Effect in Patients with HCC

Micro Segment Analysis and Machine Learning Prediction for Thermal-Hydraulic Parameters of Propane Condensation Flow in a Pche Straight Channel

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