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Evolutionary metabolic landscape from preneoplasia to invasive lung adenocarcinoma

Metabolic reprogramming evolves during cancer initiation and progression. However, thorough understanding of metabolic evolution from preneoplasia to lung adenocarcinoma (LUAD) is still limited. Here, we perform large-scale targeted metabolomics on resected lesions and plasma obtained from invasive...

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Autores principales: Nie, Meng, Yao, Ke, Zhu, Xinsheng, Chen, Na, Xiao, Nan, Wang, Yi, Peng, Bo, Yao, LiAng, Li, Peng, Zhang, Peng, Hu, Zeping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580984/
https://www.ncbi.nlm.nih.gov/pubmed/34759281
http://dx.doi.org/10.1038/s41467-021-26685-y
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author Nie, Meng
Yao, Ke
Zhu, Xinsheng
Chen, Na
Xiao, Nan
Wang, Yi
Peng, Bo
Yao, LiAng
Li, Peng
Zhang, Peng
Hu, Zeping
author_facet Nie, Meng
Yao, Ke
Zhu, Xinsheng
Chen, Na
Xiao, Nan
Wang, Yi
Peng, Bo
Yao, LiAng
Li, Peng
Zhang, Peng
Hu, Zeping
author_sort Nie, Meng
collection PubMed
description Metabolic reprogramming evolves during cancer initiation and progression. However, thorough understanding of metabolic evolution from preneoplasia to lung adenocarcinoma (LUAD) is still limited. Here, we perform large-scale targeted metabolomics on resected lesions and plasma obtained from invasive LUAD and its precursors, and decipher the metabolic trajectories from atypical adenomatous hyperplasia (AAH) to adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC), revealing that perturbed metabolic pathways emerge early in premalignant lesions. Furthermore, three panels of plasma metabolites are identified as non-invasive predictive biomarkers to distinguish IAC and its precursors with benign diseases. Strikingly, metabolomics clustering defines three metabolic subtypes of IAC patients with distinct clinical characteristics. We identify correlation between aberrant bile acid metabolism in subtype III with poor clinical features and demonstrate dysregulated bile acid metabolism promotes migration of LUAD, which could be exploited as potential targetable vulnerability and for stratifying patients. Collectively, the comprehensive landscape of the metabolic evolution along the development of LUAD will improve early detection and provide impactful therapeutic strategies.
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spelling pubmed-85809842021-11-15 Evolutionary metabolic landscape from preneoplasia to invasive lung adenocarcinoma Nie, Meng Yao, Ke Zhu, Xinsheng Chen, Na Xiao, Nan Wang, Yi Peng, Bo Yao, LiAng Li, Peng Zhang, Peng Hu, Zeping Nat Commun Article Metabolic reprogramming evolves during cancer initiation and progression. However, thorough understanding of metabolic evolution from preneoplasia to lung adenocarcinoma (LUAD) is still limited. Here, we perform large-scale targeted metabolomics on resected lesions and plasma obtained from invasive LUAD and its precursors, and decipher the metabolic trajectories from atypical adenomatous hyperplasia (AAH) to adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC), revealing that perturbed metabolic pathways emerge early in premalignant lesions. Furthermore, three panels of plasma metabolites are identified as non-invasive predictive biomarkers to distinguish IAC and its precursors with benign diseases. Strikingly, metabolomics clustering defines three metabolic subtypes of IAC patients with distinct clinical characteristics. We identify correlation between aberrant bile acid metabolism in subtype III with poor clinical features and demonstrate dysregulated bile acid metabolism promotes migration of LUAD, which could be exploited as potential targetable vulnerability and for stratifying patients. Collectively, the comprehensive landscape of the metabolic evolution along the development of LUAD will improve early detection and provide impactful therapeutic strategies. Nature Publishing Group UK 2021-11-10 /pmc/articles/PMC8580984/ /pubmed/34759281 http://dx.doi.org/10.1038/s41467-021-26685-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Nie, Meng
Yao, Ke
Zhu, Xinsheng
Chen, Na
Xiao, Nan
Wang, Yi
Peng, Bo
Yao, LiAng
Li, Peng
Zhang, Peng
Hu, Zeping
Evolutionary metabolic landscape from preneoplasia to invasive lung adenocarcinoma
title Evolutionary metabolic landscape from preneoplasia to invasive lung adenocarcinoma
title_full Evolutionary metabolic landscape from preneoplasia to invasive lung adenocarcinoma
title_fullStr Evolutionary metabolic landscape from preneoplasia to invasive lung adenocarcinoma
title_full_unstemmed Evolutionary metabolic landscape from preneoplasia to invasive lung adenocarcinoma
title_short Evolutionary metabolic landscape from preneoplasia to invasive lung adenocarcinoma
title_sort evolutionary metabolic landscape from preneoplasia to invasive lung adenocarcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580984/
https://www.ncbi.nlm.nih.gov/pubmed/34759281
http://dx.doi.org/10.1038/s41467-021-26685-y
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