ArticleCancers2022
Identification and Validation of the lncRNA MYOSLID as a Regulating Factor of Necroptosis and Immune Cell Infiltration in Colorectal Cancer following Necroptosis-Related LncRNA Model Establishment.
Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Necroptosis in cancer: insight from epigenetic, post-transcriptional and post-translational modifications.Journal of hematology & oncology · 2025Review
- Comprehensive assessment of disulfidptosis-related long non-coding RNA index as biomarkers for predicting clinical outcomes and immune microenvironment in pancreatic cancer.Translational cancer research · 2025Article
- Review
- Clinical Analysis of Pyroptosis-Related Long Non-Coding RNAs MIAT and Gm15441 in Colorectal Cancer Patients with a History of Ulcerative Colitis.Asian Pacific journal of cancer prevention : APJCP · 2025Article
- Identifying the signature of NAD+ metabolism-related genes for immunotherapy of gastric cancer.Heliyon · 2024Article
- The dysregulation and clinical relevance of lncRNAs MYOSLID and SFTA1P in colorectal cancer patients.Molecular biology reports · 2024Article
- Prognostic cellular senescence-related lncRNAs patterns to predict clinical outcome and immune response in colon cancer.Frontiers in immunology · 2024Article
- The fate and function of non-coding RNAs during necroptosis.Epigenomics · 2024Review
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Necroptosis is a newly defined form of programmed cell death that plays an important role in cancers. However, necroptosis-related lncRNAs (NRLs) involved in colorectal cancer (CRC) have not yet been thoroughly studied.
methodsIn this study, a 4-NRL model was developed based on the least absolute shrinkage and selection operator (LASSO) algorithm. A series of informatic, in vitro and in vivo analyses were applied to validate the prognostic value of the model and the potential function of the hub lncRNA MYOSLID.
resultsThe model exhibited an excellent capacity for the prediction of overall survival and other clinicopathological features of CRC patients using Kaplan-Meier (K-M) survival curves and receiver operating characteristic (ROC) curves. Furthermore, a significant difference in the levels of immune cells, such as CD4 memory T cells and activated mast cells, between two risk groups was observed. The low-risk patients had a higher expression of immune checkpoints, such as PDCD1 (PD-1) and CD274 (PD-L1). The levels of MYOSLID, a hub lncRNA in our model, were higher in CRC tissues than in normal tissues. Knockdown of MYOSLID induced necroptosis and inhibited the proliferation of CRC cells in vitro and in vivo. Interestingly, knockdown of MYOSLID also increased the percentage of CD4
conclusionOur model is a promising biomarker that can be used to predict clinical outcomes in CRC patients, and MYOSLID plays an important role in regulating necroptosis and immune cell infiltration in CRC.
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