Comprehensive analysis of cuproptosis-related lncRNAs model in tumor immune microenvironment and prognostic value of cervical cancer

Wang, Qiang; Xu, Yue

doi:10.3389/fphar.2022.1065701

Cited by 11 publications

(3 citation statements)

References 48 publications

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“…This platform facilitated the aggregation of gene data from numerous studies within a specific field, with publications sourced from the PubMed database. The protein–protein interaction network and functional enrichment analysis of the top studied genes were conducted through using Search Tool for the Retrieval of Interacting Genes (STRING) database, available at https://string-db.org/ 37 …”

Section: Methodsmentioning

confidence: 99%

Visualization of the relationship between macrophage and wound healing from the perspective of bibliometric analysis

Guo,

Li,

Xie

et al. 2023

International Wound Journal

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Macrophages play a crucial role in aiding all phases of the wound‐healing process and has garnered increasing attention recently. Although a substantial body of related studies has been published, there remains a lack of comprehensive bibliometric analysis. In this study, we collected 4296 papers from the Web of Science Core Collection database. Three tools including CiteSpace, VOSviewer and one online analytical platform were employed to conduct bibliometric analysis and data visualization. Our results revealed that the annual number of publications related to macrophage and wound healing has increased exponentially with the year. The United States and China stand as the primary driving forces within this field, collectively constituting 58.2% of the total publication output. The application of biomaterials was one of the most concerned research areas in this field. According to references analysis, the current research focus has shifted to diabetic wound healing and regulating macrophage polarization. Based on the keywords analysis, we identified the following research frontiers in the future: exosomes and other extracellular vesicles; bio‐derived materials and drug delivery methods such as nanoparticles, scaffolds and hydrogels; immunomodulation and macrophage polarization in the M2‐state; chronic wounds, particularly those associated with diabetes; antimicrobial peptides; and antioxidant. Additionally, TNF, IL‐6, IL‐10, TGF‐β1 and VEGF ranked as the five genes that have garnered the most research attention in the intersection of macrophage and wound healing. All in all, our findings offered researchers a holistic view of the ongoing progress in the field of macrophages and wound healing, serving as a valuable reference for scholars and policymakers in this domain.

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Section: Methodsmentioning

confidence: 99%

Visualization of the relationship between macrophage and wound healing from the perspective of bibliometric analysis

Guo,

Li,

Xie

et al. 2023

International Wound Journal

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“…Recently, increasingly studies identify cuproptosis-related lncRNA as a novel prognostic signature of numerous cancers, such as bladder cancer, cervical cancer, colon cancer (Bai et al, 2022;Wang and Xu, 2022;Xu et al, 2022). However, there is few researches focus on the Frontiers in Genetics frontiersin.org role of cuproptosis in HCC.…”

Section: Mumpermentioning

confidence: 99%

An integrative analysis revealing cuproptosis-related lncRNAs signature as a novel prognostic biomarker in hepatocellular carcinoma

et al. 2023

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Background: Cuproptosis is a newly defined form of cell death, whether cuproptosis involved in hepatocellular carcinoma (HCC) remains elusive.Method: We obtained patients’ RNA expression data and follow-up information from University of California Santa Cruz (UCSC) and The Cancer Genome Atlas (TCGA). We analyzed the mRNA level of Cuproptosis-related genes (CRGs) and performed univariate Cox analysis. Liver hepatocellular carcinoma (LIHC) was chosen for further investigation. Real-Time quantitative PCR (RT-qPCR), Western blotting (WB), Immunohistochemical (IHC), and Transwell assays were used to determine expression patterns and functions of CRGs in LIHC. Next, we identified CRGs-related lncRNAs (CRLs) and differentially expressed CRLs between HCC and normal cases. Univariate Cox analysis, least absolute shrinkage selection operator (LASSO) analysis and Cox regression analysis were used to construct the prognostic model. Univariate and multivariate Cox analysis was used to assess whether the risk model can act as an independent risk factor of overall survival duration. Different risk groups performed immune correlation analysis, tumor mutation burden (TMB), and Gene Set Enrichment Analysis (GSEA) analysis were performed in different risk groups. Finally, we assessed the performance of the predictive model in drug sensitivity.Results: CRGs expression levels have significant differences between tumor and normal tissues. High expression of Dihydrolipoamide S-Acetyltransferase (DLAT) correlated to metastasis of HCC cells and indicated poor prognosis for HCC patients. Our prognostic model consisted of four cuproptosis-related lncRNA (AC011476.3, AC026412.3, NRAV, MKLN1-AS). The prognostic model performed well in predicting survival rates. The results from Cox regression analysis suggested that risk score can serve as an independent prognostic element for survival durations. Survival analysis revealed that low risk patients have extended survival periods compared with those with high risk. The results of the immune analysis indicated that risk score has a positive correlation with B cell and CD4+ T cell Th2, while has a negative relationship with endothelial cell and hematopoietic cells. Besides, immune checkpoint genes have higher expression folds in the high-risk set than in the low-risk set. The high-risk group had higher rates of genetic mutation than the low-risk set while having a shorter survival time. GSEA revealed the signaling pathways enriched in the high-risk group were mostly immune-related, while metabolic-related pathways were enriched in the low-risk group. Drugs sensitivity analysis indicated that our model has the ability to predict the efficacy of clinical treatment.Conclusion: The Cuproptosis-related lncRNAs prognostic formula is a novel predictor of HCC patients’ prognosis and drug sensitivity.

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“…Increasing evidence suggests that lncRNAs, often abnormal in cervical malignancies, regulate cell cycle, apoptosis, and many other cellular processes (9). Although long non-coding RNAs (lncRNAs) associated with various types of cell death, including Necroptosis, Cuproptosis, and Ferroptosis, have been strongly correlated with the prognosis of cervical cancer (10,11,12), there is a noticeable gap in the research regarding the role of Disul dptosis-related lncRNAs (DRLs) in relation to cervical cancer prognosis and treatment response.…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of a Disulfidptosis-Related lncRNA Prognostic Risk Model for Cervical Cancer

Jin

Zhu

Shen

et al. 2023

Preprint

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Background Disulfidptosis, a recently discovered cellular death mechanism, has been proposed as a potential target for cancer therapy. However, its relationship with Cervical Cancer (CC) remains largely unexplored. Our research primarily focuses on understanding the role of associated long non-coding RNA (lncRNA) in Disulfidptosis and its potential implications for the immune response and prognosis in CC patients. Methods Using data from the Cancer Genome Atlas (TCGA), Disulfidptosis-associated lncRNAs in CC were identified and a risk model was developed. Analysis was done to evaluate tumor microenvironment differences, predict immunotherapy response and drug sensitivity. For external validation, we used the Cancer Genome Characterization Initiative - HIV + Tumor Molecular Characterization Project - Cervical Cancer (CGCI-HTMCP-CC) project for direct validation and introduced the Gene set score (GS) as a risk score alternative in the GEO44001 and IMvigor210 datasets for complementary validation. Results Risk groups displayed significant disparities in overall survival, with ROC curves exceeding 0.75 for 1- and 3-year intervals across the TCGA dataset. Through correlation analysis and single-cell analysis, we have identified USP30-AS1 as a potentially significant factor associated with immune infiltration and prognosis in cervical cancer, and we have constructed its Competing endogenous RNA (CeRNA) network. Moreover, The low-risk group exhibited increased immune checkpoint expression and enhanced immunotherapy effectiveness. Validation confirmed these findings. The high-risk group showed increased homologous recombination deficiency (HRD) and sensitivity to treatments like Paclitaxel and 5-Fluorouracil. Conclusion The research provides first-ever Disulfidptosis-related lncRNA signatures for predicting prognosis and assessing tumor microenvironment in CC, offering novel therapeutic insights.

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Comprehensive analysis of cuproptosis-related lncRNAs model in tumor immune microenvironment and prognostic value of cervical cancer

Cited by 11 publications

References 48 publications

Visualization of the relationship between macrophage and wound healing from the perspective of bibliometric analysis

Visualization of the relationship between macrophage and wound healing from the perspective of bibliometric analysis

An integrative analysis revealing cuproptosis-related lncRNAs signature as a novel prognostic biomarker in hepatocellular carcinoma

Development and Validation of a Disulfidptosis-Related lncRNA Prognostic Risk Model for Cervical Cancer

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