Integration of spatial single-cell proteomics and spatial metabolomics reveals tumor microenvironment predictive of immunotherapy response in mucosal melanoma.

Saved in:
Bibliographic Details
Title: Integration of spatial single-cell proteomics and spatial metabolomics reveals tumor microenvironment predictive of immunotherapy response in mucosal melanoma.
Authors: Wang J; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.; These authors contributed equally to this study., Nagarajan P; Department of Anatomical Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.; These authors contributed equally to this study., Cho S; Hematopoietic Biology & Malignancy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA., Liu Y; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA., Seeley EH; Mass Spectrometry Imaging Core Facility, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA., Dai Y; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.; UTHealth Houston Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA., Liu Y; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA., Yu K; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA., Burks JK; Hematopoietic Biology & Malignancy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA., McQuade JL; Department of Melanoma Medical Oncology, Melanoma Medical Oncology, MD Anderson Cancer Center, University of Texas, Houston, TX 77030, USA., Diab A; Department of Melanoma Medical Oncology, Melanoma Medical Oncology, MD Anderson Cancer Center, University of Texas, Houston, TX 77030, USA.; Department of Cancer Sciences, Cleveland Clinic, OH 44195, USA.; Cancer Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE., Wang L; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.; UTHealth Houston Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.; The James P. Allison Institute, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.; Institute for Data Science in Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA., Ekmekcioglu S; UTHealth Houston Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.; Department of Melanoma Medical Oncology, Melanoma Medical Oncology, MD Anderson Cancer Center, University of Texas, Houston, TX 77030, USA.; Department of Cancer Sciences, Cleveland Clinic, OH 44195, USA.; Cancer Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2026 Apr 27. Date of Electronic Publication: 2026 Apr 27.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.64898/2026.04.23.720453