{"database":"bioimages","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":[null],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-BIAD814"],"repository":["bioimages"],"figure_sub":["Specimen","Study Component","organisation","Biosample","Associations","Image acquisition"],"pubmed_authors":["Verena M. Prade","Jun Wang","Axel Walch","Annette Feuchtinger","Thomas Kunzke","Sabina Berezowska","Jian Shen","Philipp Zens","Na Sun"],"additional_accession":[]},"is_claimable":false,"name":"Spatial metabolomics identifies distinct tumor-specific and stroma-specific subtypes in patients with lung squamous cell carcinoma","description":"Molecular subtyping of lung squamous cell carcinoma (LUSC) has been performed at the genomic, transcriptomic, and proteomic level. However, LUSC stratification based on tissue metabolomics is still lacking. Combining high-mass-resolution imaging mass spectrometry with consensus clustering, four tumor- and four stroma-specific subtypes with distinct metabolite patterns were identified in 330 LUSC patients. The first tumor subtype T1 negatively correlated with DNA damage and immunological features including CD3, CD8, and PD-L1. The same features positively correlated with the tumor subtype T2. Tumor subtype T4 was associated with high PD-L1 expression. Compared with the status of subtypes T1 and T4, patients with subtype T3 had improved prognosis, and T3 was an independent prognostic factor ","dates":{"release":"2023-07-11T00:00:00Z","modification":"2023-07-12T19:15:27.336Z","creation":"2023-07-11T01:10:03.791Z"},"accession":"S-BIAD814","cross_references":{}}