ArticleScientific reports2024
Development and validation of a novel lysosome-related LncRNA signature for predicting prognosis and the immune landscape features in colon cancer.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Development and validation of a novel prognostic and for osteosarcoma patients utilizing multiple organelle related genes.Discover oncology · 2026Article
- Prognostic stratification in hepatocellular carcinoma using a telomerase-related lncRNA signature derived from TCGA database.PloS one · 2026Article
- Targeting Lysosomes: A Strategy Against Chemoresistance in Cancer.Mini reviews in medicinal chemistry · 2024Review
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Authors and funding
8 authors at 5 institutions in 1 country.
Funding
Abstract
Lysosomes are essential components for managing tumor microenvironment and regulating tumor growth. Moreover, recent studies have also demonstrated that long non-coding RNAs could be used as a clinical biomarker for diagnosis and treatment of colorectal cancer. However, the influence of lysosome-related lncRNA (LRLs) on the progression of colon cancer is still unclear. This study aimed to identify a prognostic LRL signature in colon cancer and elucidated potential biological function. Herein, 10 differential expressed lysosome-related genes were obtained by the TCGA database and ultimately 4 prognostic LRLs for conducting a risk model were identified by the co-expression, univariate cox, least absolute shrinkage and selection operator analyses. Kaplan-Meier analysis, principal-component analysis, functional enrichment annotation, and nomogram were used to verify the risk model. Besides, the association between the prognostic model and immune infiltration, chemotherapeutic drugs sensitivity were also discussed in this study. This risk model based on the LRLs may be promising for potential clinical prognosis and immunotherapeutic responses related indicator in colon cancer patients.
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