PXD012923-2

PXD012923 is an original dataset announced via ProteomeXchange.

Title	Proteomic analysis of meningiomas reveals clinically-distinct molecular patterns
Description	Meningiomas represent one of the most common and clinically heterogeneous brain tumor types that only modestly correlate with histopathologic features. While emerging molecular profiling efforts have linked specific genomic drivers to distinct clinical patterns, the proteomic landscape of meningiomas remains largely unexplored. We utilize mass spectrometry to profile a clinically well-annotated cohort (n=69) of meningiomas stratified to span all three World Health Organization (WHO) grades and various degrees of clinical aggressiveness. In total, we quantify 3042 unique proteins and compare the patterns across different clinical parameters. Unsupervised clustering analysis highlighted distinct proteomic (n=106 proteins, Welch’s t-test, P<0.01) and pathway-level (e.g. Notch and PI3K/AKT/mTOR) differences between convexity and skull base meningiomas. Supervised comparative analyses of different pathological grades revealed distinct patterns between benign (WHO Grade I) and atypical/malignant (WHO Grade II and III) meningiomas with classic oncogenes often enriched in higher grade lesions. Independent of WHO grade, clinically aggressive meningiomas, that rapidly recurred, also had distinctive protein patterns that converged on mRNA processing and impaired activation of the extracellular matrix naba matrisome complex. Larger sized meningiomas, and those with previous radiation exposure, also had distinct protein profiles. Collectively, we highlight distinct clinically-dependent proteomic patterns of meningiomas that may help better predict outcome and guide the development of more personalized and directed therapies.
HostingRepository	PRIDE
AnnounceDate	2019-05-30
AnnouncementXML	Submission_2019-05-31_03:22:29.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	MICHAIL PAPAIOANNOU
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive

Revision	Datetime	Status	ChangeLog Entry
0	2019-03-01 02:10:54	ID requested
1	2019-05-29 19:27:46	announced
⏵ 2	2019-05-31 03:22:30	announced	Updated publication reference for PubMed record(s): 31077268.
3	2019-06-03 01:23:04	announced	Updated publication reference for PubMed record(s): 31077268.
4	2023-11-14 08:50:12	announced	2023-11-14: Updated project metadata.

Papaioannou MD, Djuric U, Kao J, Karimi S, Zadeh G, Aldape K, Diamandis P, Proteomic analysis of meningiomas reveals clinically distinct molecular patterns. Neuro Oncol, 21(8):1028-1038(2019) [pubmed]

10.1093/neuonc/noz084;

curator keyword: Biomedical

submitter keyword: Proteome, meningiomas, stratification, mass spectrometry, neuro-oncology

Phedias Diamandis
contact affiliation	Neuropathologist, Department of Pathology, University Health Network Assistant Professor, Department of Laboratory Medicine and Pathobiology, University of Toronto Scientist, Princess Margaret Cancer Centre
contact email	p.diamandis@mail.utoronto.ca
lab head
MICHAIL PAPAIOANNOU
contact affiliation	Princess Margaret Cancer Centre
contact email	m.d.papaioannou@gmail.com
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/2019/05/PXD012923

PRIDE project URI

• PRIDE
  1. PXD012923
     1. Label: PRIDE project
     2. Name: Proteomic analysis of meningiomas reveals clinically-distinct molecular patterns