PXD071754

PXD071754 is an original dataset announced via ProteomeXchange.

Title	Integrated proteomic and metabolomic profiling reveals molecular signatures underlying invasiveness in non-functioning pituitary adenoma.
Description	Pituitary adenomas constitute 10 to 25% of intracranial tumors, rendering them one of the most prevalent types of brain tumors. While the majority of pituitary adenomas are benign, ~35% exhibit invasive behavior. Compared with their non-invasive counterparts, invasive pituitary adenomas are more challenging to manage, highlighting the need to elucidate their underlying pathogenesis. However, the molecular mechanisms driving the invasive behavior of these tumors remain incompletely understood. Thus, the present study employed an integrated proteomic and metabolomic approach to investigate the molecular features associated with tumor invasiveness in pituitary adenomas. The investigation was performed at the First Affiliated Hospital of Xiamen University (Xiamen, China). Fresh-frozen tumor specimens were collected from 16 patients diagnosed with clinically non-functioning pituitary adenomas. These samples were divided into two groups based on invasiveness: Invasive tumors (n=8; Knosp grade ≥2) and non-invasive tumors (n=8; Knosp grade <2). Using data-independent acquisition mass spectrometry (MS) in conjunction with liquid chromatography-MS/MS metabolomics analysis, differentially expressed proteins (DEPs) and metabolites (DEMs) were identified. Comparative analysis identified 614 DEPs, including 286 proteins that were upregulated and 328 that were downregulated in invasive relative to non-invasive tumors. Additionally, 74 DEMs were found, comprising 42 increased and 32 decreased metabolites. Enrichment analysis of pathways revealed notable involvement of the cyclic adenosine monophosphate (cAMP) signaling cascade, pathways related to pathogenic Escherichia coli (E. coli) infection and the synaptic vesicle cycle. Integration of the proteomic and metabolomic data underscored consistent changes within these biological pathways. The present investigation represents a comprehensive effort to combine proteomic and metabolomic approaches to characterize the invasive phenotype of pituitary adenomas. The identification of enriched pathways associated with cAMP signaling, E. coli infection and synaptic vesicle cycling provides new mechanistic understanding and offers potential biomarkers or therapeutic targets for differentiating tumor aggressiveness.
HostingRepository	iProX
AnnounceDate	2025-12-09
AnnouncementXML	Submission_2025-12-09_01:37:43.786.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Bosen Liu
SpeciesList	scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive HF-X

Revision	Datetime	Status	ChangeLog Entry
0	2025-12-09 01:37:12	ID requested
⏵ 1	2025-12-09 01:37:44	announced

Dataset with its publication pending

submitter keyword: proteomics, metabolomics, pituitary adenoma, tumor invasion, cAMP signaling, Escherichia coli infection, synaptic vesicle cycle

Jinli Sun
contact affiliation	Department of Reproduction, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
contact email	sunkinglily@xmu.edu.cn
lab head
Bosen Liu
contact affiliation	Department of Neurosurgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, P.R. China
contact email	bosenliu@stu.xmu.edu.cn
dataset submitter

iProX dataset URI