ArticleTechnology in cancer research & treatment
Insights into a Machine Learning-Based Palmitoylation-Related Gene Model for Predicting the Prognosis and Treatment Response of Breast Cancer Patients.
Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- The role of artificial intelligence in precision medicine for breast cancer.Discover oncology · 2026Review
- Identifying predictor factors for asthma using machine learning: evidence from the English Longitudinal Study of Ageing.BMC public health · 2026Article
- Identification and preliminary examination of prognostic genes linked to calcium metabolism in colorectal cancer.Journal of gastrointestinal oncology · 2026Article
- Machine learning-based programmed cell death gene signature for prognosis and drug sensitivity in breast cancer.Oncology letters · 2026Article
- C-reactive protein-triglyceride-glucose index (CTI) as a predictor of chronic liver disease in adults with macrocytic anemia.Scientific reports · 2026Article
- The functional roles and therapeutic potential of protein palmitoylation in hepatocellular carcinoma.Discover oncology · 2026Review
- Recognition and confirmation of key genes associated with nicotinamide metabolism in acute myocardial infarction.Hereditas · 2026Article
- A prognostic model for gastric cancer based on histamine-associated prognostic genes.Hereditas · 2026Article
- Construction and validation of a palmitoylation-related prognostic model for lung adenocarcinoma based on integrated bioinformatics and machine learning.Translational cancer research · 2026Article
- A novel signature of palmitoylation for predicting prognosis and therapeutic response of hepatocellular carcinoma.Discover oncology · 2026Article
- Perioperative machine learning models with SHAP interpretation for predicting adverse outcomes in breast cancer surgery.Frontiers in surgery · 2026Article
- Integrative profiling of diverse post-translational modifications for prognostic stratification and personalized therapy in papillary thyroid cancer.Frontiers in endocrinology · 2026Article
- Exploring Matrix Stiffness-Related Gene in Periodontitis: A Comprehensive Multidataset Analysis.Mediators of inflammation · 2026Article
- A palmitoylation-related signature predicts prognosis and immune microenvironment features in diffuse large B-cell lymphoma.Frontiers in immunology · 2026Article
- Serum Lipid-Based Prognostic Model for Advanced Intrahepatic Cholangiocarcinoma Under Chemo-Immunotherapy.Journal of hepatocellular carcinoma · 2026Article
- Combined single-cell transcriptome and Mendelian randomization to identify and validate prognostic genes associated with endoplasmic reticulum stress and butyrate metabolism in lung adenocarcinoma.Frontiers in genetics · 2026Article
- Development and validation of a novel palmitoylation-related prognostic signature in head and neck squamous cell carcinoma.Translational cancer research · 2025Article
- BRCAGenie: A machine learning-driven 43-gene polygenic risk score model for precision prediction of breast cancer survival.Journal of translational medicine · 2025Article
- A GRK5 centered prognostic framework for bladder cancer based on palmitoylation and epigenetic regulation.Discover oncology · 2025Article
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9 authors.
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Abstract
backgroundBreast cancer is a prevalent public health concern affecting numerous women globally and is associated with palmitoylation, a post-translational protein modification. Despite increasing focus on palmitoylation, its specific implications for breast cancer prognosis remain unclear. The work aimed to identify prognostic factors linked to palmitoylation in breast cancer and assess its effectiveness in predicting responses to chemotherapy and immunotherapy.
methodsWe utilized the "limma" package to analyze the differential expression of palmitoylation-related genes between breast cancer and normal tissues. Hub genes were identified using the "WGCNA" package. Using the least absolute shrinkage and selection operator (LASSO) Cox regression analysis, we identified a prognostic feature associated with palmitoylation and developed a prognostic nomogram with the "regplot" package. The predictive values of the model for chemotherapy and immunotherapy responses were assessed using immunophenoscore (IPS) and the "pRophetic" package.
resultsWe identified 211 differentially expressed genes related to palmitoylation, among which 44 demonstrated prognostic potential. Subsequently, a predictive model comprising eleven palmitoylation-related genes was developed. Patients were classified into high-risk and low-risk groups based on the median risk score. The findings revealed that individuals in the high-risk group exhibited lower survival rates, while those in the low-risk group showed increased immune cell infiltration and improved responses to chemotherapy and immunotherapy. Moreover, the BC-Palmitoylation Tool website was established.
conclusionThis study developed the first machine learning-based predictive model for palmitoylation-related genes and created a corresponding website, providing clinicians with a valuable tool to improve patient outcomes.
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