Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Integrated bioinformatic analysis identifies distinct neddylation-associated proteasome genes and immune-related features in laryngeal squamous cell carcinoma
Related
- Integrated Transcriptomic Analysis Identifies ENO3 as a Candidate Lactate Metabolism‐Associated Biomarker in Colorectal Cancer Metastasis
- Integrated Transcriptomic and Network Analysis Identifies Diagnostic and Immune-Associated Hub Genes in Urothelial Carcinoma
- A bioinformatic single-cell and structure-informed framework identifies a baicalin–CA2–keratinocyte state axis in atopic dermatitis
- A Prognostic Model for Prostate Cancer Screened from Stress Granule-Related Genes: An Integrated Bioinformatic Analysis and Experimental Verification of SPAG5 Function
- TSC1-mTORC1 signaling in Alzheimer’s disease: an integrated bioinformatic analysis linking gene expression to neuropathology
BibTeX
@article{wang2026integrated,
title = {{Integrated bioinformatic analysis identifies distinct neddylation-associated proteasome genes and immune-related features in laryngeal squamous cell carcinoma}},
author = {Shujuan Wang and Jing Xu and Hong Ge},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-76451-7},
url = {https://www.nature.com/articles/s41598-026-76451-7},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Integrated bioinformatic analysis identifies distinct neddylation-associated proteasome genes and immune-related features in laryngeal squamous cell carcinoma
AU - Shujuan Wang
AU - Jing Xu
AU - Hong Ge
PY - 2026
DA - 2026/10/17
JO - Scientific Reports
DO - 10.1038/s41598-026-76451-7
UR - https://www.nature.com/articles/s41598-026-76451-7
SN - 2045-2322
ER -