OMIX001272

1Summary
Title Multi-omics analyses of a clinical indolent subtype of early-stage lung adenocarcinoma identifies IL4I1 as a novel immunometabolomic therapeutic target
Description Using long gradient liquid chromatography coupled with label-free mass spectrometry, we profiled the proteo-metabonomics landscape from 96 patients' tumor and tumor-adjacent normal tissues. Our data identified a cluster of proteins that were important in the transition from subsolid to solid adenocarcinomas. Along the developmental trajectory, we also discovered metabolomics reprograms that shaped tumor characteristics and therapy response. Furthermore, we uncovered a distinct metabo-immune checkpoint IL4I1, promoting tumor malignancy through AHR signaling activation. Together, our findings provide insight into the SSN ecosystem that suggests potential prognostic and therapeutic implications.
Organism Homo sapiens
Data Type Mixed
Data Accessibility Controlled-access
BioProject PRJCA009473
Release Date 2025-12-01
Submitter Mantang Qiu (qiumantang@163.com)
Organization Peking Univeersity People's Hospital
Submission Date 2022-06-29
2Files & Download

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File ID File Title Number/Samples File Type File Size File Suffix Download
OMIX001272-10-01 Proteomics raw data of solid nodules 48 Proteomic 71.18 GB zip Controlled
OMIX001272-10-02 Proteomics raw data of subsolid nodules 48 Proteomic 71.2 GB zip Controlled
OMIX001272-10-03 Proteomics raw data of cancer adjacent normal tissue 48 Proteomic 69.27 GB zip Controlled
OMIX001272-30-04 Metabolomics raw data in negative ion mode 114 Metabonomics 4.59 GB zip Controlled
OMIX001272-30-05 Metabolomics raw data in positive ion mode 114 Metabonomics 6.38 GB zip Controlled
OMIX001272-40-06 Lipidomics raw data in negative ion mode 114 Lipidomics 9.67 GB zip Controlled
OMIX001272-40-07 Lipidomics raw data in positive ion mode 114 Lipidomics 9.35 GB zip Controlled
3Relevant Publications
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