PXD046999

PXD046999 is an original dataset announced via ProteomeXchange.

Title	Spatial characterization and stratification of colorectal adenomas by Deep Visual Proteomics
Description	Background and Aims: Colorectal adenomas (CRAs) are precursor lesions that can progress to adenocarcinomas. Current clinical guidelines categorize patients into risk groups based on adenoma characteristics observed during index colonoscopy, but this may lead to overtreatment. Our aim was to establish a molecular feature-based risk allocation framework towards improved patient stratification. Methods: Deep Visual Proteomics (DVP) is a novel approach that combines image-based artificial intelligence with automated microdissection and ultra-high sensitive mass spectrometry. Here we used DVP on formalin-fixed, paraffin-embedded (FFPE) CRA tissues from nine patients. Immunohistological staining for Caudal-type homeobox 2 (CDX2), a gene implicated in colorectal cancer, enabled the characterization of cellular heterogeneity within distinct tissue regions and across patients. Results: DVP seamlessly integrated with current pathology workflows and equipment, identifying deleted in malignant brain tumors 1 (DMBT1), myristoylated alanine rich protein kinase C (MARCKS), and cluster of differentiation 99 (CD99) correlated with disease recurrence history, making them potential markers of risk stratification. The spatial and cell type specific capabilities of DVP uncovered a metabolic switch towards anaerobic glycolysis in areas of high dysplasia, which was specific for the cells with high CDX2 expression. Conclusion: The application of spatially resolved proteomics to CRA revealed three new potential markers for early-stage tumor development, and provided novel insights into metabolic reprogramming. Our findings underscore the potential of this technology to refine early-stage detection and contribute to personalized patient management strategies.
HostingRepository	PRIDE
AnnounceDate	2024-08-05
AnnouncementXML	Submission_2024-08-05_00:00:59.149.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Mario Oroshi
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	timsTOF SCP

Revision	Datetime	Status	ChangeLog Entry
0	2023-11-15 17:54:06	ID requested
⏵ 1	2024-08-05 00:00:59	announced

Dataset with its publication pending

submitter keyword: Spatial, Mass Spectrometry, Pathology, Cancer, Colorectal Adenoma, Proteomics,DVP

Matthias Mann
contact affiliation	Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany. & NNF Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
contact email	mmann@biochem.mpg.de
lab head
Mario Oroshi
contact affiliation	Proteomics
contact email	oroshi@biochem.mpg.de
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2024/08/PXD046999

PRIDE project URI

• PRIDE
  1. PXD046999
     1. Label: PRIDE project
     2. Name: Spatial characterization and stratification of colorectal adenomas by Deep Visual Proteomics