Identification of a Diagnostic Gene Signature Associated with Centrosome Amplification in Pressure Injuries: A Cross-Sectional Transcriptome and Machine Learning Study

Purpose: Centrosome amplification (CA) contributes to cancer but remains poorly characterized in non-neoplastic conditions such as pressure injuries (PI). This study investigated CA-related genes (CARGs) in PI to identify potential therapeutic targets. Patients and Methods: Transcriptomic data from 15 patients with PI and 15 healthy control blood samples were analyzed. Differentially expressed genes were intersected with CARGs, and key genes were identified using machine learning algorithms and receiver operating characteristic curve analysis. A nomogram was constructed, and underlying mechanisms were investigated using functional enrichment, immune infiltration, drug prediction, and quantitative reverse transcription polymerase chain reaction (RT-qPCR) analyses. Results: and downregulation of LFNG in PI. Conclusion: as key CA-associated genes in PI. Their expression patterns may provide supplementary molecular evidence to support the early identification and dynamic risk monitoring of high-risk patients. However, the clinical translational potential of these findings requires further validation through large-scale, multicenter prospective studies.