Asthma-derived genetic signature predicts lung cancer prognosis: a multi-scale omics investigation Article Swipe

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Youpeng Chen , Enzhong Li , Yifei Xie , Zhenglin Chang , Xiaoyi Chen , Haojie Wu , Weilin Feng , Zhangkai J. Cheng , Baoqing Sun ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.21037/jtd-24-1697

This multi-omics study provides insights into the asthma-lung cancer link and presents a promising prognostic model for lung cancer based on asthma-related genes. The model's association with immune features suggests its potential utility in immunotherapy patient selection.

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Medicine Omics Signature (topology) Lung cancer Scale (ratio) Asthma Cancer Bioinformatics Computational biology Oncology Internal medicine Biology Geometry Mathematics Physics Quantum mechanics

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Type: article
Language: en
Landing Page: https://doi.org/10.21037/jtd-24-1697
OA Status: diamond
References: 2
Related Works: 10
OpenAlex ID: https://openalex.org/W4408919542

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DOI: https://doi.org/10.21037/jtd-24-1697

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Title: Asthma-derived genetic signature predicts lung cancer prognosis: a multi-scale omics investigation

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Language: en

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Publication year: 2025

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Publication date: 2025-03-01

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Authors: Youpeng Chen, Enzhong Li, Yifei Xie, Zhenglin Chang, Xiaoyi Chen, Haojie Wu, Weilin Feng, Zhangkai J. Cheng, Baoqing Sun

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Landing page: https://doi.org/10.21037/jtd-24-1697

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Concepts: Medicine, Omics, Signature (topology), Lung cancer, Scale (ratio), Asthma, Cancer, Bioinformatics, Computational biology, Oncology, Internal medicine, Biology, Geometry, Mathematics, Physics, Quantum mechanics

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