AIMC Topic: Adenocarcinoma of Lung

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Integrating Bulk and Single-Cell Transcriptomics with Machine Learning Reveals a Heme Metabolism-Based Panel for Lung Adenocarcinoma Chemotherapy Resistance.

International journal of molecular sciences May 14, 2025
Lung adenocarcinoma (LUAD) is a leading cause of cancer-related mortality, with heme metabolism playing a critical role in tumor progression and treatment resistance. This study investigates the clinical implications of heme metabolism in LUAD, focus...
Humans Machine Learning Prognosis Female Single-Cell Analysis Lung Neoplasms Gene Expression Regulation, Neoplastic Ferroptosis Antineoplastic Agents Gene Expression Profiling Transcriptome Cell Line, Tumor Adenocarcinoma of Lung Multidrug Resistance-Associated Proteins Multidrug Resistance-Associated Protein 2 Cisplatin Heme Drug Resistance, Neoplasm
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Artificial Intelligence-Guided Cancer Engineering for Tumor Normalization Executed by Tumor Lysosomal-Triggered Supramolecular Chiral Peptide.

ACS nano May 13, 2025
Cancer engineering for tumor normalization offers a promising therapeutic strategy to reverse malignant cells and their supportive tumor microenvironment into a more benign state. Herein, an artificial intelligence (AI) approach was developed using m...
Adenocarcinoma of Lung Antineoplastic Agents Cell Line, Tumor Lung Neoplasms Lysosomes Artificial Intelligence Tumor Microenvironment Peptides Humans
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Successful Application of Artificial Intelligence-Assisted Analysis of Invasive Pulmonary Adenocarcinoma Less Than 6 mm in Size: A Case Report and Literature Review.

The clinical respiratory journal May 1, 2025
INTRODUCTION: Screening of lung nodules helps on early diagnosis of lung cancer, especially invasive pulmonary adenocarcinoma. Artificial intelligence (AI) has been applied in diagnosis of cancers. We used the AI-assisted lung nodule diagnostic syste...
Adenocarcinoma Multiple Pulmonary Nodules Neoplasm Invasiveness Adenocarcinoma of Lung Humans Artificial Intelligence Tomography, X-Ray Computed Aged Male Lung Lung Neoplasms
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Image-Based Deep Learning Model for Predicting Lymph Node Metastasis in Lung Adenocarcinoma With CT ≤ 2 cm.

Thoracic cancer May 1, 2025
BACKGROUND: Lymph node metastasis (LNM) poses a considerable threat to survival in lung adenocarcinoma. Currently, minor resection is the recommended surgical approach for small-diameter lung cancer. The accurate preoperative identification of LNM in...
ROC Curve Lung Neoplasms Lymphatic Metastasis Adenocarcinoma of Lung Prognosis Retrospective Studies Tomography, X-Ray Computed Humans Female Aged Male Middle Aged Deep Learning
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Identifying Lipid Metabolism-Related Therapeutic Targets and Diagnostic Markers for Lung Adenocarcinoma by Mendelian Randomization and Machine Learning Analysis.

Thoracic cancer Mar 1, 2025
BACKGROUND: Lipid metabolic disorders are emerging as a recognized influencing factors of lung adenocarcinoma (LUAD). This study aims to investigate the influence of lipid metabolism-related genes (LMRGs) on the diagnosis and treatment of LUAD and to...
Humans Mendelian Randomization Analysis Lipid Metabolism Machine Learning Adenocarcinoma of Lung Biomarkers, Tumor Lung Neoplasms
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Development of an immune-related gene signature applying Ridge method for improving immunotherapy responses and clinical outcomes in lung adenocarcinoma.

PeerJ Jan 1, 2025
BACKGROUND: Lung adenocarcinoma (LUAD) is a major cause of cancer mortality. Considering the critical role of tumor infiltrating lymphocytes in effective immunotherapy, this study was designed to screen molecular markers related to tumor infiltrating...
Humans Prognosis Female Biomarkers, Tumor Male Immunotherapy Gene Expression Profiling Gene Expression Regulation, Neoplastic Transcriptome Lymphocytes, Tumor-Infiltrating Lung Neoplasms Adenocarcinoma of Lung
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Immunoinfiltration Analysis of Mitochondrial Damage-Related Genes in Lung Adenocarcinoma and Construction of a Classification and Prognostic Model Integrated With WGCNA and Machine Learning Algorithms.

Cancer medicine Jan 1, 2025
BACKGROUND: Lung adenocarcinoma (LUAD) exhibits molecular heterogeneity, with mitochondrial damage affecting progression. The relationship between mitochondrial damage and immune infiltration, and Weighted Gene Co-expression Network Analysis (WGCNA)-...
Humans Machine Learning Prognosis Biomarkers, Tumor Gene Expression Regulation, Neoplastic Databases, Genetic Mitochondria Gene Expression Profiling Adenocarcinoma of Lung Gene Regulatory Networks Lung Neoplasms Computational Biology
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Building a Risk Scoring Model for ARDS in Lung Adenocarcinoma Patients Using Machine Learning Algorithms.

Journal of cellular and molecular medicine Dec 1, 2024
Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently complicated by acute respiratory distress syndrome (ARDS), which increases mortality risks. Investigating the prognostic implications of ARDS-related genes ...
Respiratory Distress Syndrome DNA Copy Number Variations Mutation Adenocarcinoma of Lung Risk Assessment Gene Expression Profiling Lung Neoplasms Machine Learning Gene Expression Regulation, Neoplastic Algorithms Prognosis Female Risk Factors Biomarkers, Tumor Male Humans
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[Application of CT Radiomics in Predicting Differentiation Level of Lung Adenocarcinoma].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Nov 30, 2024
OBJECTIVE: To investigate the value of prediction of the differentiation level in lung adenocarcinoma based on CT radiomics model.
Lung Neoplasms Adenocarcinoma Adenocarcinoma of Lung Retrospective Studies Humans Tomography, X-Ray Computed Machine Learning Sensitivity and Specificity Algorithms Radiomics
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Unveiling Varied Cell Death Patterns in Lung Adenocarcinoma Prognosis and Immunotherapy Based on Single-Cell Analysis and Machine Learning.

Journal of cellular and molecular medicine Nov 1, 2024
Programmed cell death (PCD) pathways hold significant influence in the etiology and progression of a variety of cancer forms, particularly offering promising prognostic markers and clues to drug sensitivity for lung adenocarcinoma (LUAD) patients. We...
Single-Cell Analysis Lung Neoplasms Humans Immunotherapy Biomarkers, Tumor Machine Learning Apoptosis Gene Expression Regulation, Neoplastic Prognosis Male Female Tumor Microenvironment Cell Line, Tumor Cell Death Adenocarcinoma of Lung
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