A metabolomics and lipidomics atlas of pulmonary large cell neuroendocrine carcinoma

Pulmonary large cell neuroendocrine carcinoma (LCNEC) is a rare and aggressive lung cancer with limited therapeutic options and poorly defined metabolic features. To establish a comprehensive molecular overview, we generated the first metabolomics and lipidomics atlas of LCNEC using paired tumor and adjacent non-tumor lung tissues from 34 patients. Untargeted multiplatform liquid chromatography-mass spectrometry profiled 1052 metabolites, revealing extensive remodeling of amino acid, nucleotide, and lipid metabolism. Tumor tissues showed pronounced accumulation of both D- and L-2-hydroxyglutaric acid, indicating altered α-ketoglutarate metabolism independent of IDH1/2 mutations. Newly identified N-lactoyl-amino acids, formed via CNDP2-mediated condensation of lactate and amino acids, were uniformly elevated, suggesting enhanced lactoyl conjugation under elevated lactate levels. Lipidomic profiling revealed widespread reprogramming, including increased phosphatidylcholines, ether-linked phospholipids, polyunsaturated bis(monoacylglycero)phosphates, long-chain triacylglycerols, cholesteryl esters, and acylcarnitines, indicative of lysosomal remodeling and altered mitochondrial fatty acid transport. In addition, the nicotine metabolite cotinine was quantified as an objective biomarker of smoking exposure, revealing discrepancies between measured cotinine levels and self-reported smoking status in several patients. This highlights the value of metabolomics for independently verifying clinical information. Collectively, these data define a hybrid metabolic phenotype bridging features of small and non-small cell lung cancer while revealing unique metabolic signatures of LCNEC. The resulting atlas provides a foundational resource for biomarker discovery and the development of metabolism-based therapeutic strategies in this understudied lung cancer subtype.

Authors

Institutions

Publication Details

Journal
Biomedicine & Pharmacotherapy
Published
2026-04-07
DOI
https://doi.org/10.1016/j.biopha.2026.119327
Primary Topic
Lung Cancer Research Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A metabolomics and lipidomics atlas of pulmonary large cell neuroendocrine carcinoma

Ilona Tietzova, Rebecca C. Rancourt, Tomáš Čajka, Michael Allgäuer et al.
Biomedicine & Pharmacotherapy
Lung Cancer Research Studies
article

A metabolomics and lipidomics atlas of pulmonary large cell neuroendocrine carcinoma

Ilona Tietzova, Rebecca C. Rancourt, Tomáš Čajka, Michael Allgäuer, Marc A. Schneider, Jiri Hricko
article en

Abstract

Pulmonary large cell neuroendocrine carcinoma (LCNEC) is a rare and aggressive lung cancer with limited therapeutic options and poorly defined metabolic features. To establish a comprehensive molecular overview, we generated the first metabolomics and lipidomics atlas of LCNEC using paired tumor and adjacent non-tumor lung tissues from 34 patients. Untargeted multiplatform liquid chromatography-mass spectrometry profiled 1052 metabolites, revealing extensive remodeling of amino acid, nucleotide, and lipid metabolism. Tumor tissues showed pronounced accumulation of both D- and L-2-hydroxyglutaric acid, indicating altered α-ketoglutarate metabolism independent of IDH1/2 mutations. Newly identified N-lactoyl-amino acids, formed via CNDP2-mediated condensation of lactate and amino acids, were uniformly elevated, suggesting enhanced lactoyl conjugation under elevated lactate levels. Lipidomic profiling revealed widespread reprogramming, including increased phosphatidylcholines, ether-linked phospholipids, polyunsaturated bis(monoacylglycero)phosphates, long-chain triacylglycerols, cholesteryl esters, and acylcarnitines, indicative of lysosomal remodeling and altered mitochondrial fatty acid transport. In addition, the nicotine metabolite cotinine was quantified as an objective biomarker of smoking exposure, revealing discrepancies between measured cotinine levels and self-reported smoking status in several patients. This highlights the value of metabolomics for independently verifying clinical information. Collectively, these data define a hybrid metabolic phenotype bridging features of small and non-small cell lung cancer while revealing unique metabolic signatures of LCNEC. The resulting atlas provides a foundational resource for biomarker discovery and the development of metabolism-based therapeutic strategies in this understudied lung cancer subtype.

Biomedicine & PharmacotherapyVol. 198
Czech Academy of Sciences (CZ), Charles University (CZ), Heidelberg University (DE), University Hospital Heidelberg (DE), MSB Medical School Berlin (DE), German Center for Lung Research (DE), Czech Academy of Sciences, Institute of Physiology (CZ)
Univerzita Karlova v Praze, Ministerstvo Zdravotnictví Ceské Republiky, Akademie Věd České Republiky, Deutsches Zentrum für Lungenforschung
Good health and well-being
Openalex Percentile: Top 30%
Lung Cancer Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.