ArticleGenetics research2022
Necroptosis-Related Prognostic Signature and Nomogram Model for Predicting the Overall Survival of Patients with Lung Cancer.
Article in Genetics research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed, 0 citations in OpenAlex.
- Transcript-Level Expression Patterns of Necroptosis-Related Genes RIPK1, RIPK3, and MLKL in Surgically Resected Non-Small Cell Lung Cancer: An Exploratory Single-Center Study.International journal of molecular sciences · 2026Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
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Abstract
Background: Necroptosis is a type of programmed cell death mode and it serves an important role in the tumorigenesis and tumor metastasis. The purpose of this study is to develop a prognostic model based on necroptosis-related genes and nomogram for predicting the overall survival of patients with lung cancer. Method: Differentially expressed necroptosis-related genes (NRDs) between lung cancer and normal samples were identified. Univariate and LASSO regression analyses were performed to establish a risk score (RS) model, followed by validation within TCGA and GSE37745. The correlation between RS model and tumor microenvironment, mutation status, or drug susceptibility was analyzed. By combining clinical factors, nomogram was developed to predict 1-, 3-, and 5-year survival probability of an individual. The biological function involved by different risk groups was conducted by GSEA. Results: A RS model containing six NRDs ( Conclusion: This study constructed a robust six-NRDs signature and established a prognostic nomogram for survival prediction of lung cancer.
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