AIMC Topic: Adenocarcinoma of Lung

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Deep learning and radiomics fusion for predicting the invasiveness of lung adenocarcinoma within ground glass nodules.

Scientific reports Aug 11, 2025
Microinvasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) require distinct treatment strategies and are associated with different prognoses, underscoring the importance of accurate differentiation. This study aims to develop a predictive m...
Retrospective Studies Tomography, X-Ray Computed Female Aged Humans ROC Curve Lung Neoplasms Neoplasm Invasiveness Adenocarcinoma of Lung Radiomics Male Middle Aged Deep Learning
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Identifying ferroptosis-related genes in lung adenocarcinoma using random walk with restart in the PPI network.

Scientific reports Aug 6, 2025
Lung adenocarcinoma (LUAD), the most common non-small cell lung cancer subtype, often presents with subtle early symptoms leading to delayed diagnosis. Ferroptosis, a cell death process associated with iron metabolism dysregulation, has been linked t...
Adenocarcinoma of Lung X-Box Binding Protein 1 Tumor Microenvironment Humans Gene Expression Profiling Algorithms Protein Interaction Maps Gene Regulatory Networks Lung Neoplasms Gene Expression Regulation, Neoplastic Ferroptosis
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Mitochondrial Pathway Signature (MitoPS) predicts immunotherapy response and reveals NDUFB10 as a key immune regulator in lung adenocarcinoma.

Journal for immunotherapy of cancer Jul 31, 2025
BACKGROUND: Lung adenocarcinoma (LUAD) is the most common subtype of non-small cell lung cancer. Although immune checkpoint inhibitors (ICIs) have brought new treatment options for advanced patients, a considerable proportion still shows limited resp...
Immunotherapy Mitochondria Adenocarcinoma of Lung Biomarkers, Tumor Male Lung Neoplasms Humans Prognosis Female Tumor Microenvironment
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Identification of DNA damage response and crotonylation-related biomarkers for lung adenocarcinoma via machine learning and WGCNA.

Clinical and experimental medicine Jul 30, 2025
DNA damage response (DDR) and crotonylation occur frequently in lung adenocarcinoma (LUAD), but their relationship is yet to be elucidated. RNA sequencing data from LUAD patients in GSE27262 and GSE140797 datasets were obtained. DDR-crotonylation-rel...
Gene Expression Regulation, Neoplastic DNA Damage Adenocarcinoma of Lung Gene Expression Profiling Gene Regulatory Networks Lung Neoplasms Computational Biology Humans Machine Learning Biomarkers, Tumor
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Image-based inference of tumor cell trajectories enables large-scale cancer progression analysis.

Science advances Jul 18, 2025
Current approaches to estimating cell trajectories, tumor progression dynamics, and cell population diversity of tumor microenvironment often depend on single-cell RNA sequencing, which is costly and resource intensive. To address this limitation, we...
Tumor Microenvironment Neoplasms Disease Progression Humans Transcriptome Gene Expression Profiling Artificial Intelligence Image Processing, Computer-Assisted Prognosis Lung Neoplasms Adenocarcinoma of Lung
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Exploring the impact of neutrophils on lung adenocarcinoma using Mendelian randomization and transcriptomic study.

Scientific reports Jul 3, 2025
Tumor immune microenvironment plays a crucial role in determining the prognosis of lung adenocarcinoma (LUAD), with the interaction of immune cells within this microenvironment contributing to a poorer prognosis. We sought to investigate the causal r...
Prognosis Tumor Microenvironment Gene Expression Profiling Transcriptome Genome-Wide Association Study Single-Cell Analysis Lung Neoplasms Humans Machine Learning Adenocarcinoma of Lung Gene Expression Regulation, Neoplastic Neutrophils Mendelian Randomization Analysis
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Unveiling diagnostic biomarkers and therapeutic targets in lung adenocarcinoma using bioinformatics and experimental validation.

Scientific reports Jul 2, 2025
Lung adenocarcinoma (LUAD) is a major challenge in oncology due to its complex molecular structure and generally poor prognosis. The aim of this study was to find diagnostic markers and therapeutic targets for LUAD by integrating differential gene ex...
Computational Biology Gene Expression Regulation, Neoplastic Databases, Genetic Adenocarcinoma of Lung Transcriptome Gene Regulatory Networks Lung Neoplasms Machine Learning Humans Prognosis Biomarkers, Tumor Gene Expression Profiling
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Prognostic model of lung adenocarcinoma from the perspective of cancer-associated fibroblasts using single-cell and bulk RNA-sequencing.

Scientific reports Jul 1, 2025
Cancer-associated fibroblasts (CAFs) play important roles in the progression of lung adenocarcinoma (LUAD). We examined CAF subgroups via gene ontology, pseudo-time, and cell communication analyses and explored their prognostic value in LUAD using a ...
Cancer-Associated Fibroblasts Biomarkers, Tumor Adenocarcinoma of Lung Single-Cell Analysis Lung Neoplasms Gene Expression Regulation, Neoplastic Sequence Analysis, RNA Cell Proliferation Cell Movement Humans Machine Learning Prognosis Female
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Fast and accurate lung cancer subtype classication and localization based on Intraoperative frozen sections of lung adenocarcinoma.

Biomedical physics & engineering express Jun 16, 2025
Current lung cancer diagnostic techniques primarily focus on tissue subtype classification, yet remain inadequate in distinguishing pathological progression subtypes (particularly between adenocarcinomaand invasive adenocarcinoma) on frozen sections....
Adenocarcinoma of Lung Deep Learning Humans Frozen Sections Image Processing, Computer-Assisted Neural Networks, Computer Lung Neoplasms Algorithms Intraoperative Period
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Prediction of EGFR Mutations in Lung Adenocarcinoma via CT Images: A Comparative Study of Intratumoral and Peritumoral Radiomics, Deep Learning, and Fusion Models.

Academic radiology May 5, 2025
RATIONALE AND OBJECTIVES: This study aims to analyze the intratumoral and peritumoral characteristics of lung adenocarcinoma patients on the basis of chest CT images via radiomic and deep learning methods and to develop and validate a multimodel fusi...
Humans Radiomics Male Middle Aged Deep Learning Retrospective Studies Tomography, X-Ray Computed Female Aged ErbB Receptors Adenocarcinoma of Lung Lung Neoplasms Mutation Radiographic Image Interpretation, Computer-Assisted
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