TY - JOUR
T1 - Evolutionary metabolic landscape from preneoplasia to invasive lung adenocarcinoma
AU - Nie, Meng
AU - Yao, Ke
AU - Zhu, Xinsheng
AU - Chen, Na
AU - Xiao, Nan
AU - Wang, Yi
AU - Peng, Bo
AU - Yao, Li Ang
AU - Li, Peng
AU - Zhang, Peng
AU - Hu, Zeping
N1 - Funding Information:
We thank Dr. Hanqiu Zheng for providing the luciferase-expressing plasmid. We thank members of the Hu laboratory for critiquing the manuscript. Z.H. is supported by grants from the National Key R&D Program of China (2020YFA0803300), the National Natural Science Foundation of China (81973355, 92057209), Tsinghua-Peking Center for Life Sciences 100084, and Beijing Frontier Research Center for Biological Structure. P.Z. is supported by grant from Shanghai Pulmonary Hospital (grant No.fkcx1904). M.N. is supported by a postdoctoral fellowship at Tsinghua-Peking Center for Life Sciences.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12
Y1 - 2021/12
N2 - 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.
AB - 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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U2 - 10.1038/s41467-021-26685-y
DO - 10.1038/s41467-021-26685-y
M3 - Article
C2 - 34759281
AN - SCOPUS:85118894191
SN - 2041-1723
VL - 12
JO - Nature communications
JF - Nature communications
IS - 1
M1 - 6479
ER -