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Keywords {🔍}

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Topics {✒️}

oral squamous carcinoma protein-coding rnas consisting squamous cell carcinoma half-maximal inhibitory concentration cuproptosis-related prognostic signature identified z-llnle-cho cuproptosis-related risk signature immune checkpoint therapy prognostic cuproptosis-related lncrnas detect cuproptosis-related lncrna cuproptosis-related lncrna signatures found z-llnle-cho cuproptosis-related risk model article download pdf quantitative real-time pcr time-dependent roc curves full access oscc tissue samples tcga-oscc cohort provided low-risk groups successfully tumor-promoting gene involved z-llnle cho z-llnle-cho stard4-as1 significantly increased stard4-as1 significantly enhanced shanghai cell bank tissue sample collection stard4-as1 knockdown plasmid inhibits gamma-secretase low-tmb + low-risk low-risk oscc samples induce cell death programmed cell death cell death dis trigger cell death high-risk group based low-risk groups based cell mol immunol cell mol med mol cell biochem scc9 cell lines privacy choices/manage cookies high-tmb + low-risk low-tmb + high-risk cancer-related fatalities coding rnas cuproptosis-related lncrnas 46 cuproptosis-related lncrnas 4 cuproptosis-related lncrnas oscc cell lines

Schema {🗺️}

WebPage:
      mainEntity:
         headline:Novel cuproptosis-related lncRNAs risk model to predicting prognosis and guiding immunotherapy for OSCC patients
         description:A significant role in many cancers is played by cuproptosis, a new term for the copper-dependent regulatory cell death pattern. However, as a new research hotspot, the cuproptosis-related lncRNAs (CRLs) associated with regulation in oral squamous cell carcinoma (OSCC) patients are currently not well understood. Long noncoding RNA (lncRNA) data were downloaded from the Cancer Genome Atlas database (TCGA). The ‘LIMMA’ package in R software was used to screen for differential expression of CRLs. LASSO regression and COX regression models were used to construct prognostic signature based on 4 prognostic CRLs. Finally, the relationship of risk characteristics with immune correlation analysis, somatic mutations, PCA, biological molecular pathways and drug sensitivity was investigated. A cuproptosis-related lncRNAs prognostic signature was developed by us. Based on the risk scores, the OSCC samples were split into high- and low-risk groups using this signature. The two risk groups differed significantly in immune functions, drug sensitivity, and overall survival. The risk model showed better prognostic predictive power compared to the traditional clinicopathological signature. By qPCR trial, we also verified the expression of STARD4-AS1 in OSCC cell lines and tissues was in line with our results from this experimental screen. Through cell experiments, we have confirmed that knocking down STARD4-AS1 promotes the proliferation and migration ability of OSCC cells. The CRLs signature contributes to new understandings of the treatment of OSCC and is a rubost biomarker for predicting the prognosis of patients with OSCC.
         datePublished:2025-05-11T00:00:00Z
         dateModified:2025-05-11T00:00:00Z
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            lncRNAs
            Cuproptosis
            Oral squamous cell carcinoma
            Prognostic signature
            Immune microenvironment
            Immune checkpoint
            Oncology
            Cancer Research
            Surgical Oncology
            Molecular Medicine
            Radiotherapy
            Internal Medicine
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      headline:Novel cuproptosis-related lncRNAs risk model to predicting prognosis and guiding immunotherapy for OSCC patients
      description:A significant role in many cancers is played by cuproptosis, a new term for the copper-dependent regulatory cell death pattern. However, as a new research hotspot, the cuproptosis-related lncRNAs (CRLs) associated with regulation in oral squamous cell carcinoma (OSCC) patients are currently not well understood. Long noncoding RNA (lncRNA) data were downloaded from the Cancer Genome Atlas database (TCGA). The ‘LIMMA’ package in R software was used to screen for differential expression of CRLs. LASSO regression and COX regression models were used to construct prognostic signature based on 4 prognostic CRLs. Finally, the relationship of risk characteristics with immune correlation analysis, somatic mutations, PCA, biological molecular pathways and drug sensitivity was investigated. A cuproptosis-related lncRNAs prognostic signature was developed by us. Based on the risk scores, the OSCC samples were split into high- and low-risk groups using this signature. The two risk groups differed significantly in immune functions, drug sensitivity, and overall survival. The risk model showed better prognostic predictive power compared to the traditional clinicopathological signature. By qPCR trial, we also verified the expression of STARD4-AS1 in OSCC cell lines and tissues was in line with our results from this experimental screen. Through cell experiments, we have confirmed that knocking down STARD4-AS1 promotes the proliferation and migration ability of OSCC cells. The CRLs signature contributes to new understandings of the treatment of OSCC and is a rubost biomarker for predicting the prognosis of patients with OSCC.
      datePublished:2025-05-11T00:00:00Z
      dateModified:2025-05-11T00:00:00Z
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      pageEnd:14
      license:http://creativecommons.org/licenses/by-nc-nd/4.0/
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      keywords:
         lncRNAs
         Cuproptosis
         Oral squamous cell carcinoma
         Prognostic signature
         Immune microenvironment
         Immune checkpoint
         Oncology
         Cancer Research
         Surgical Oncology
         Molecular Medicine
         Radiotherapy
         Internal Medicine
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      name:Department of Stomatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
      name:Medical School of Nantong University, Nantong, China
      name:Department of Stomatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
      name:Medical School of Nantong University, Nantong, China
      name:Department of Stomatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
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