ArticleAging2023
The necroptosis signature and molecular mechanism of lung squamous cell carcinoma.
Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Necroptosis as a key player in cervical cancer progression and management: a systematic review and transcriptomic cross-study consensus analysis.Apoptosis : an international journal on programmed cell death · 2026Pooled it
- FAM111B may promote the progression of lung squamous cell carcinoma through PI3K signaling pathway.Scientific reports · 2026Article
- Development and validation of a predictive model for recurrence in postoperative patients with stage ⅠA1-ⅢA non-small cell lung cancer.BMC cancer · 2025Article
- Survival benefit of postoperative chemotherapy in stage III lung squamous cell carcinoma based on SEER database analysis through propensity score matching.Scientific reports · 2025Article
- MicroRNA-541-3p/Rac2 signaling bridges radiation-induced lung injury and repair.Non-coding RNA research · 2025Article
- Molecular Mechanisms, Diagnoses, and Treatments of Respiratory Diseases.Biomedicines · 2024Article
- Ubiquitin-related gene markers predict immunotherapy response and prognosis in patients with epithelial ovarian carcinoma.Scientific reports · 2024Article
- TNFRSF10B, a Therapeutic Target for Oral Squamous Cell Carcinoma Through Integrated Bioinformatics and Preliminary Experiments.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGiven the poor prognosis of lung squamous cell carcinoma (LUSC), the aim of this study was to screen for new prognostic biomarkers.
methodsThe TGCA_LUSC dataset was used as the training set, and GSE73403 was used as the validation set. The genes involved in necroptosis-related pathways were acquired from the KEGG database, and the differential genes between the LUSC and normal samples were identified using the GSEA. A necroptosis signature was constructed by survival analysis, and its correlation with patient prognosis and clinical features was evaluated. The molecular characteristics and drug response associated with the necroptosis signature were also identified. The drug candidates were then validated at the cellular level.
resultsThe TCGA_LUSC dataset included 51 normal samples and 502 LUSC samples. The GSE73403 dataset included 69 samples. 159 genes involved in necroptosis pathways were acquired from the KEGG database, of which most showed significant differences between two groups in terms of genomic, transcriptional and methylation alterations. In particular, CHMP4C, IL1B, JAK1, PYGB and TNFRSF10B were significantly associated with the survival (
conclusionWe identified a necroptosis signature in LUSC that can predict prognosis and identify patients who can benefit from targeted therapies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.