Radiogenomics in lung cancer: Where are we?

Aguado-Barrera, Miguel E; Sosa-Fajardo, Paloma; Gómez-Caamaño, Antonio; Taboada-Valladares, Begoña; Couñago, Felipe; López-Guerra, José Luis; Vega, Ana

doi:10.1016/j.lungcan.2023.01.001

Cited by 3 publications

(1 citation statement)

References 110 publications

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“…However, thoracic radiotherapy can lead to radiation-induced lung injury (RILI). RILI is characterized by acute radiation pneumonitis and late radiation-induced pulmonary fibrosis (RIPF) 1 - 3 . Apart from disrupting the successful completion of radiotherapy schedules, RIPF contributes to chronic lung dysfunction, thereby adversely impacting the quality of life of patients.…”

Section: Introductionmentioning

confidence: 99%

Nintedanib Mitigates Radiation-Induced Pulmonary Fibrosis by Suppressing Epithelial Cell Inflammatory Response and Inhibiting Fibroblast-to-Myofibroblast Transition

Tu,

Chen,

et al. 2024

Int. J. Biol. Sci.

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Radiation-induced pulmonary fibrosis (RIPF) represents a serious complication observed in individuals undergoing thoracic radiation therapy. Currently, effective interventions for RIPF are unavailable. Prior research has demonstrated that nintedanib, a Food and Drug Administration (FDA)-approved anti-fibrotic agent for idiopathic pulmonary fibrosis, exerts therapeutic effects on chronic fibrosing interstitial lung disease. This research aimed to investigate the anti-fibrotic influences of nintedanib on RIPF and reveal the fundamental mechanisms. To assess its therapeutic impact, a mouse model of RIPF was established. The process involved nintedanib administration at various time points, both prior to and following thoracic radiation. In the RIPF mouse model, an assessment was conducted on survival rates, body weight, computed tomography features, histological parameters, and changes in gene expression. In vitro experiments were performed to discover the mechanism underlying the therapeutic impact of nintedanib on RIPF. Treatment with nintedanib, administered either two days prior or four weeks after thoracic radiation, significantly alleviated lung pathological changes, suppressed collagen deposition, and improved the overall health status of the mice. Additionally, nintedanib demonstrated significant mitigation of radiation-induced inflammatory responses in epithelial cells by inhibiting the PI3K/AKT and MAPK signaling pathways. Furthermore, nintedanib substantially inhibited fibroblast-to-myofibroblast transition by suppressing the TGF-β/Smad and PI3K/AKT/mTOR signaling pathways. These findings suggest that nintedanib exerts preventive and therapeutic effects on RIPF by modulating multiple targets instead of a single anti-fibrotic pathway and encourage the further clinical trials to determine the efficacy of nintedanib in patients with RIPF.

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Section: Introductionmentioning

confidence: 99%

Nintedanib Mitigates Radiation-Induced Pulmonary Fibrosis by Suppressing Epithelial Cell Inflammatory Response and Inhibiting Fibroblast-to-Myofibroblast Transition

Tu,

Chen,

et al. 2024

Int. J. Biol. Sci.

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From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients

Guo,

Li,

Gong

et al. 2024

Advanced Science

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With the increasing demand for precision medicine in cancer patients, radiogenomics emerges as a promising frontier. Radiogenomics is originally defined as a methodology for associating gene expression information from high‐throughput technologies with imaging phenotypes. However, with advancements in medical imaging, high‐throughput omics technologies, and artificial intelligence, both the concept and application of radiogenomics have significantly broadened. In this review, the history of radiogenomics is enumerated, related omics technologies, the five basic workflows and their applications across tumors, the role of AI in radiogenomics, the opportunities and challenges from tumor heterogeneity, and the applications of radiogenomics in tumor immune microenvironment. The application of radiogenomics in positron emission tomography and the role of radiogenomics in multi‐omics studies is also discussed. Finally, the challenges faced by clinical transformation, along with future trends in this field is discussed.

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Integrative prediction model for radiation pneumonitis incorporating genetic and clinical-pathological factors using machine learning

Choi,

Kim,

Heo

et al. 2024

Clinical and Translational Radiation Oncology

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Radiogenomics in lung cancer: Where are we?

Cited by 3 publications

References 110 publications

Nintedanib Mitigates Radiation-Induced Pulmonary Fibrosis by Suppressing Epithelial Cell Inflammatory Response and Inhibiting Fibroblast-to-Myofibroblast Transition

Nintedanib Mitigates Radiation-Induced Pulmonary Fibrosis by Suppressing Epithelial Cell Inflammatory Response and Inhibiting Fibroblast-to-Myofibroblast Transition

From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients

Integrative prediction model for radiation pneumonitis incorporating genetic and clinical-pathological factors using machine learning

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