ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
Predicting Survival Rates in Brain Metastases Patients from Non-Small Cell Lung Cancer Using Radiomic Signatures Associated with Tumor Immune Heterogeneity.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- A closed-loop myocardial infarction theranostic platform activated by macrophage-derived nitric oxide and acidic microenvironment.Bioactive materials · 2026Article
- Article
- Interpretable habitat radiomics based nomogram for predicting T790M mutation in non-small cell lung cancer with brain metastases.Quantitative imaging in medicine and surgery · 2026Article
- Multi-Modal Ultrasound-Based Prognostic Model for Diffuse Large B-Cell Lymphoma with Predominantly Superficial Lymph Node Involvement.Diagnostics (Basel, Switzerland) · 2026Article
- [Tumor Cell and Brain Microenvironment Interactions in Non-small Cell Lung Cancer Brain Metastasis: Mechanisms and Emerging Insights].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026Review
- Review
- A Novel Nomogram for Predicting Meningioma Grade Based on Radiomics Features and Clinical Characteristics.Current medical science · 2026Article
- Identification of NF-κB pathway-related biomarkers in myocardial ischemia-reperfusion injury: based on transcriptomics analysis and RT-qPCR validation.Scientific reports · 2026Article
- Review
- Solasonine inhibits NSCLC malignant progression by regulating SLC7A11 ubiquitination degradation and inducing ferroptosis.Respiratory research · 2026Article
- Crosstalk in the brain tumor microenvironment: mechanisms, therapeutic strategies, and clinical advances.Military Medical Research · 2026Review
- Predictive modeling for survival-related outcomes in lung cancer patients with brain metastases: a mini-review.Frontiers in oncology · 2026Review
- Development and application of a prognostic model based on radiomics and artificial intelligence for patients with lung adenocarcinoma brain metastasis.Frontiers in oncology · 2026Article
- The immune microenvironment of the central nervous system and neuromodulation: new perspectives in lung cancer brain metastases research.Frontiers in immunology · 2026Review
- Research progress in imaging detection of brain metastases.Frontiers in medicine · 2026Review
- Artificial intelligence in non-small cell lung cancer: transforming diagnosis, treatment, and prognostic evaluation.Frontiers in medicine · 2026Review
- Prediction of EGFR mutation status in non-small cell lung cancer based on multiparametric MRI radiomics.BMC medical imaging · 2025Article
- Harnessing multi-omics approaches to decipher tumor evolution and improve diagnosis and therapy in lung cancer.Biomarker research · 2025Review
- Clinical Features, Molecular Biology, and the Metastatic Microenvironment in Lung Cancer Brain Metastases: Implications for Treatment Decisions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Mitochondrial Pathway Signature (MitoPS) predicts immunotherapy response and reveals NDUFB10 as a key immune regulator in lung adenocarcinoma.Journal for immunotherapy of cancer · 2025Article
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Authors and funding
9 authors.
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Abstract
Non-small cell lung cancer (NSCLC) frequently metastasizes to the brain, significantly worsened prognoses. This study aimed to develop an interpretable model for predicting survival in NSCLC patients with brain metastases (BM) integrating radiomic features and RNA sequencing data. 292 samples are collected and analyzed utilizing T1/T2 MRIs. Bidirectional stepwise logistic regression is employed to identify significant variables, facilitating the construction of a prognostic model, which is benchmarked against four machine learning algorithms. BM tissue samples are processed for RNA extraction and sequencing. The optimal model achieved an AUC of 0.96 and a C-index of 0.89 in the train set and an AUC of 0.84 with a C-index of 0.78 in the test set, indicating strong predictive performance and generalizability. Patients from Xiangya Hospital are stratified into high-risk (n = 11) and low-risk (n = 30) groups. RNA sequencing revealed an enrichment of immune-related pathways, particularly the interferon (IFN) pathway in the low-risk group. Immune cell infiltration analysis identified a significant presence of CD8
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