AIMC Topic: Lung Neoplasms

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Gut microbiota and SCFAs improve the treatment efficacy of chemotherapy and immunotherapy in NSCLC.

NPJ biofilms and microbiomes Jul 28, 2025
The role of gut dysbiosis in shaping immunotherapy responses is well-recognized, yet its effect on the therapeutic efficacy of chemotherapy and immunotherapy combinations remains poorly understood. We analyzed gut microbiota in non-small cell lung ca...
Immunotherapy Treatment Outcome Gastrointestinal Microbiome Fecal Microbiota Transplantation Lung Neoplasms Mice Bacteria Metagenomics Carcinoma, Non-Small-Cell Lung RNA, Ribosomal, 16S Dysbiosis Fatty Acids, Volatile Humans Female Aged Animals Male Middle Aged Antineoplastic Agents
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Advancements in lung cancer: molecular insights, innovative therapies, and future prospects.

Medical oncology (Northwood, London, England) Jul 28, 2025
Still among the most common and deadly cancers worldwide, lung cancer causes major morbidity and death. Thanks to late-stage diagnosis, tumor heterogeneity, and resistance to traditional treatments, the prognosis for lung cancer patients is still poo...
Humans Lung Neoplasms Molecular Targeted Therapy
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Machine-learning driven strategies for adapting immunotherapy in metastatic NSCLC.

Nature communications Jul 24, 2025
Immune checkpoint inhibitors (ICIs), either as monotherapy (ICI-Mono) or combined with chemotherapy (ICI-Chemo), improves survival in advanced non-small cell lung cancer (NSCLC). However, prospective guidance for choosing between these options remain...
Humans Machine Learning Female Aged Carcinoma, Non-Small-Cell Lung Biomarkers, Tumor Immune Checkpoint Inhibitors Male Lung Neoplasms Middle Aged B7-H1 Antigen Immunotherapy
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Collaborative assessment of the risk of postoperative progression in early-stage non-small cell lung cancer: a robust federated learning model.

Cancer imaging : the official publication of the International Cancer Imaging Society Jul 18, 2025
BACKGROUND: While the TNM staging system provides valuable insights into the extent of disease, predicting postoperative progression in early-stage non-small cell lung cancer (NSCLC) remains a significant challenge. An effective bioimaging prognostic...
Retrospective Studies Female Aged Male Middle Aged Risk Assessment Disease Progression Lung Neoplasms Humans Carcinoma, Non-Small-Cell Lung Prognosis Neoplasm Staging Federated Learning
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Machine learning and discriminant analysis model for predicting benign and malignant pulmonary nodules.

BMC medical informatics and decision making Jul 18, 2025
BACKGROUND: Pulmonary Nodules (PNs) are a trend considered as the early manifestation of lung cancer. Among them, PNs that remain stable for more than two years or whose pathological results suggest not being lung cancer are considered benign PNs (BP...
Discriminant Analysis Adult Male Humans Middle Aged Lung Neoplasms Machine Learning Case-Control Studies Multiple Pulmonary Nodules Female Solitary Pulmonary Nodule Aged Diagnosis, Differential
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Determination of lung cancer exhaled breath biomarkers using machine learning-a new analysis framework.

Scientific reports Jul 18, 2025
Exhaled breath samples of lung cancer patients (LC), tuberculosis (TB) patients and asymptomatic controls (C) were analyzed using gas chromatography-mass spectrometry (GC-MS). Ten volatile organic compounds (VOCs) were identified as possible biomarke...
Male Middle Aged Case-Control Studies Lung Neoplasms Gas Chromatography-Mass Spectrometry Volatile Organic Compounds Breath Tests Exhalation Female Aged Adult Biomarkers, Tumor Humans Machine Learning
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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 Gene Expression Profiling Humans Artificial Intelligence Prognosis Transcriptome Image Processing, Computer-Assisted Lung Neoplasms Adenocarcinoma of Lung
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Integrative habitat analysis and multi-instance deep learning for predictive model of PD-1/PD-L1 immunotherapy efficacy in NSCLC patients: a dual-center retrospective study.

BMC medical imaging Jul 17, 2025
BACKGROUND: PD-1/PD-L1 immunotherapy represents the primary treatment for advanced NSCLC patients; however, response rates to this therapy vary among individuals. This dual-center study aimed to integrate habitat radiomics and multi-instance deep lea...
Humans Carcinoma, Non-Small-Cell Lung Programmed Cell Death 1 Receptor Middle Aged B7-H1 Antigen Retrospective Studies Deep Learning Immunotherapy Female Immune Checkpoint Inhibitors Treatment Outcome Aged Lung Neoplasms Male
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Machine Learning Prediction of Financial Toxicity in Patients with Resected Lung Cancer.

Journal of the American College of Surgeons Jul 16, 2025
BACKGROUND: Financial toxicity (FT) refers to the financial stress and detrimental impact on quality of life experienced by patients due to treatment cost. In patients with resected lung cancer (LC), we sought to identify those at risk of developing ...
Lung Neoplasms Humans Pneumonectomy Machine Learning Middle Aged Financial Stress Female Risk Assessment Aged Quality of Life Male
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Decision level scheme for fusing multiomics and histology slide images using deep neural network for tumor prognosis prediction.

Scientific reports Jul 15, 2025
Molecular biostatistical workflows in oncology often rely on predictive models that use multimodal data. Advances in deep learning and artificial intelligence technologies have enabled the multimodal fusion of large volumes of multimodal data. Here, ...
Lung Neoplasms Female Multiomics Breast Neoplasms Carcinoma, Non-Small-Cell Lung Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Prognosis
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