AIMC Topic: Adenocarcinoma of Lung

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Integrating multi-omics and machine learning survival frameworks to build a prognostic model based on immune function and cell death patterns in a lung adenocarcinoma cohort.

Frontiers in immunology Sep 13, 2024
INTRODUCTION: The programmed cell death (PCD) plays a key role in the development and progression of lung adenocarcinoma. In addition, immune-related genes also play a crucial role in cancer progression and patient prognosis. However, further studies...
Biomarkers, Tumor Humans Multiomics Machine Learning Male Prognosis Gene Expression Regulation, Neoplastic Lung Neoplasms Female Apoptosis Computational Biology Adenocarcinoma of Lung
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Integrated machine learning survival framework to decipher diverse cell death patterns for predicting prognosis in lung adenocarcinoma.

Genes and immunity Aug 31, 2024
Various forms of programmed cell death (PCD) collectively regulate the occurrence, development and metastasis of tumors. Nevertheless, a comprehensive analysis of the diverse types of PCD in lung adenocarcinoma (LUAD) is currently lacking. The study ...
Humans Machine Learning Cell Death Adenocarcinoma of Lung Prognosis Female Male Lung Neoplasms
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Deciphering Dormant Cells of Lung Adenocarcinoma: Prognostic Insights from O-glycosylation-Related Tumor Dormancy Genes Using Machine Learning.

International journal of molecular sciences Aug 31, 2024
Lung adenocarcinoma (LUAD) poses significant challenges due to its complex biological characteristics and high recurrence rate. The high recurrence rate of LUAD is closely associated with cellular dormancy, which enhances resistance to chemotherapy a...
Glycosylation Adenocarcinoma of Lung Biomarkers, Tumor Gene Regulatory Networks Lung Neoplasms Gene Expression Regulation, Neoplastic Humans Machine Learning Prognosis Tumor Microenvironment
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Machine Learning Based on Clinical Information and Integrated CT Radiomics to Predict Local Recurrence of Stage Ia Lung Adenocarcinoma after Microwave Ablation.

Journal of vascular and interventional radiology : JVIR Aug 28, 2024
PURPOSE: To develop and compare 3 different machine learning-based models of clinical information and integrated radiomics features predicting the local recurrence of Stage Ia lung adenocarcinoma after microwave ablation (MWA) for assisting clinical ...
Humans Machine Learning Decision Support Techniques Ablation Techniques Middle Aged Neoplasm Recurrence, Local Risk Assessment Microwaves Time Factors Margins of Excision Risk Factors Lung Neoplasms Adenocarcinoma of Lung Treatment Outcome Retrospective Studies Aged Predictive Value of Tests Radiomics Tomography, X-Ray Computed Neoplasm Staging Male Clinical Decision-Making Radiographic Image Interpretation, Computer-Assisted Female
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An end-to-end deep learning method for mass spectrometry data analysis to reveal disease-specific metabolic profiles.

Nature communications Aug 20, 2024
Untargeted metabolomic analysis using mass spectrometry provides comprehensive metabolic profiling, but its medical application faces challenges of complex data processing, high inter-batch variability, and unidentified metabolites. Here, we present ...
Humans Data Analysis Female Lung Neoplasms Mass Spectrometry Metabolomics Reproducibility of Results Metabolome Male Adenocarcinoma of Lung Middle Aged Deep Learning
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Machine-learning and scRNA-Seq-based diagnostic and prognostic models illustrating survival and therapy response of lung adenocarcinoma.

Genes and immunity Jul 29, 2024
Lung cancer is a major cause accounting for cancer-related mortalities, with lung adenocarcinoma (LUAD) being the most prevalent subtype. Given the high clinical and cellular heterogeneities of LUAD, accurate diagnosis and prognosis are crucial to av...
Lung Neoplasms Adenocarcinoma of Lung Tumor Microenvironment Biomarkers, Tumor Humans Male Machine Learning RNA-Seq Prognosis Single-Cell Gene Expression Analysis Female
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RACGAP1 is a pivotal gene in lung adenocarcinoma-associated membranous nephropathy: Based on comprehensive bioinformatics analysis and machine learning.

International immunopharmacology Jul 27, 2024
BACKGROUND: This study performs a detailed bioinformatics and machine learning analysis to investigate the genetic foundations of membranous nephropathy (MN) in lung adenocarcinoma (LUAD).
Gene Expression Profiling Lung Neoplasms Computational Biology Gene Expression Regulation, Neoplastic Databases, Genetic Glomerulonephritis, Membranous Collagen Type III Adenocarcinoma of Lung Prognosis Female Male GTPase-Activating Proteins Humans Middle Aged Machine Learning
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Machine learning and bioinformatics analysis of diagnostic biomarkers associated with the occurrence and development of lung adenocarcinoma.

PeerJ Jul 23, 2024
OBJECTIVE: Lung adenocarcinoma poses a major global health challenge and is a leading cause of cancer-related deaths worldwide. This study is a review of three molecular biomarkers screened by machine learning that are not only important in the occur...
Gene Expression Regulation, Neoplastic Databases, Genetic Humans Protein Interaction Maps MicroRNAs Gene Regulatory Networks Machine Learning Adenocarcinoma of Lung Lung Neoplasms Biomarkers, Tumor Computational Biology Gene Expression Profiling
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Differentiation of granulomatous nodules with lobulation and spiculation signs from solid lung adenocarcinomas using a CT deep learning model.

BMC cancer Jul 22, 2024
BACKGROUND: The diagnosis of solitary pulmonary nodules has always been a difficult and important point in clinical research, especially granulomatous nodules (GNs) with lobulation and spiculation signs, which are easily misdiagnosed as malignant tum...
Middle Aged Female Deep Learning Aged Adenocarcinoma of Lung Humans Diagnosis, Differential Lung Neoplasms Adult Retrospective Studies Solitary Pulmonary Nodule Male Granuloma Tomography, X-Ray Computed
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Lung Adenocarcinoma Systems Biomarker and Drug Candidates Identified by Machine Learning, Gene Expression Data, and Integrative Bioinformatics Pipeline.

Omics : a journal of integrative biology Jul 9, 2024
Lung adenocarcinoma (LUAD) is a significant planetary health challenge with its high morbidity and mortality rate, not to mention the marked interindividual variability in treatment outcomes and side effects. There is an urgent need for robust system...
Adenocarcinoma Drug Repositioning Adenocarcinoma of Lung Trifluoperazine Gene Expression Profiling Lung Neoplasms Computational Biology Gene Expression Regulation, Neoplastic Prognosis Humans Biomarkers, Tumor Machine Learning Molecular Docking Simulation Drug Discovery
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