ArticleBMC medical genomics2023
Development and validation of cuproptosis-related lncRNA signatures for prognosis prediction in colorectal cancer.
Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- LncRNA regulation of pyroptosis determines prognostic outcomes and functional characteristics in liver cancer.Discover oncology · 2026Article
- RPARP-AS1 Targets miR-10b-5p to Influence Prognosis in Non-Small Cell Lung Cancer and Inhibit Tumor Progression.Analytical cellular pathology (Amsterdam) · 2026Article
- Cuproptosis in lung cancer: a nexus of ncRNA regulation, epigenetics, and tumor microenvironment Remodeling.Clinical and experimental medicine · 2025Review
- Cuproptosis: the mechanisms of copper-induced cell death and its implication in colorectal cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Identification of biomarkers associated with mitophagy in bladder cancer.Scientific reports · 2025Article
- Mechanism of action of cuproptosis and prospects for anti-tumor therapy.World journal of clinical cases · 2025Article
- Long non-coding RNA SNHG7 as a key driver of colorectal cancer proliferation and metastasis by inhibiting cuproptosis.European journal of medical research · 2025Article
- Development of a prognostic risk model for colorectal cancer and association of the prognostic model with cancer stem cell and immune cell infiltration.Journal of gastrointestinal oncology · 2025Article
- Identification and functional characterization of prognosis-related ferroptosis-associated lncRNAs in colorectal cancer.Frontiers in immunology · 2025Article
- CEBPB dampens the cuproptosis sensitivity of colorectal cancer cells by facilitating the PI3K/AKT/mTOR signaling pathway.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association · 2024Article
- Targeting cuproptosis with nano material: new way to enhancing the efficacy of immunotherapy in colorectal cancer.Frontiers in pharmacology · 2024Review
- Cuproptosis-related gene subtypes predict prognosis in patients with head and neck squamous cell carcinoma.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale · 2023Article
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8 authors.
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Abstract
backgroundCuproptosis, a novel form of programmed cell death, plays an essential role in various cancers. However, studies of the function of cuproptosis lncRNAs (CRLs) in colorectal cancer (CRC) remain limited. Thus, this study aims to identify the cuprotosis-related lncRNAs (CRLs) in CRC and to construct the potential prognostic CRLs signature model in CRC.
methodsFirst, we downloaded RNA-Seq data and clinical information of CRC patients from TCGA database and obtained the prognostic CRLs based on typical expression analysis of cuproptosis-related genes (CRGs) and univariate Cox regression. Then, we constructed a prognostic model using the Least Absolute Shrinkage and Selection Operator algorithm combined with multiple Cox regression methods (Lasso-Cox). Next, we generated Kaplan-Meier survival and receiver operating characteristic curves to estimate the performance of the prognostic model. In addition, we also analysed the relationships between risk signatures and immune infiltration, mutation, and drug sensitivity. Finally, we performed quantitative reverse transcription polymerase chain reaction (qRT -PCR) to verify the prognostic model.
resultLasso-Cox analysis revealed that four CRLs, SNHG16, LENG8-AS1, LINC0225, and RPARP-AS1, were related to CRC prognosis. Receiver operating characteristic (ROC) and Kaplan-Meier analysis curves indicated that this model performs well in prognostic predictions of CRC patients. The DCA results also showed that the model included four gene signatures was better than the traditional model. In addition, GO and KEGG analyses revealed that DE-CRLs are enriched in critical signalling pathway, such as chemical carcinogenesis-DNA adducts and basal cell carcinoma. Immune infiltration analysis revealed significant differences in immune infiltration cells between the high-risk and low-risk groups. Furthermore, significant differences in somatic mutations were noted between the high-risk and low-risk groups. Finally, we also validated the expression of four CRLs in FHCs cell lines and CRC cell lines using qRT-PCR.
conclusionThe signature composed of SNHG16, LENG8-AS1, LINC0225, and RPARP-AS1, which has better performance in predicting colorectal cancer prognosis and are promising biomarkers for prognosis prediction of CRC.
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