⮝ Full datasets listing

PXD047883

PXD047883 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteome-wide profiling study unmasked lineage-based and clinical feature-based molecular landscapes of pituitary neuroendocrine tumors
DescriptionPituitary neuroendocrine tumors (PitNETs) account for the second most common intracranial tumors. Currently, there is still a lack of comprehensive understanding regarding the molecular mechanisms associated with lineage or clinical features of PitNETs, which hinders development of effective treatment strategies. Herein, we performed in-depth proteome profiling of 68 PitNET tumors and 4 pituitary glands. We systematically investigated the common and specific aberrant biological mechanisms in TPIT (ACTH/SCA) and PIT1 (TSH/PRL/GH) lineages. Our findings revealed that Wnt signaling pathway and MAPK signaling pathway played crucial regulatory roles in both lineages, while lipid metabolism abnormalities were more prominent in TPIT lineage, and decreased cell adhesion was more significant in PIT1 lineage. Based on these findings, we delved into the interactions between drugs and proteins to explore reliable drug targets and treatment options. We identified 17 potential drug targets and 51 FDA-approved drugs in TPIT lineage, and 19 potential drug targets and 97 FDA-approved drugs in PIT1 lineage, respectively. Additionally, we reclassified the samples based on 4 important clinical phenotypes: invasiveness, recurrence, high incidence in women of childbearing age, and tumor stiffness. By combining artificial intelligence (AI) and bioinformatics analysis, we further investigated the related mechanistic information. Our results highlighted the close association of abnormal neuronal activity with tumor invasiveness, as well as the intimate correlation between cell adhesion alterations and the other 3 clinical phenotypes. Overall, our study provides valuable insights into both of lineage-based and clinical feature-based pathophysiological mechanisms of PitNETs, and offers novel reference for future targeted therapies.
HostingRepositoryiProX
AnnounceDate2023-12-17
AnnouncementXMLSubmission_2023-12-17_22:56:06.606.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterWeijian Liang
SpeciesList scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumenttimsTOF Pro
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-12-17 18:49:27ID requested
12023-12-17 18:49:49announced
22023-12-17 22:56:07announced2023-12-18: Update information.
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: DIA, TIMS Pro TOF2, Pituitary neuroendocrine tumors
Contact List
Catherine C.L. Wong
contact affiliationPeking Union Medical College Hospital
contact emailcatclw321@126.com
lab head
Weijian Liang
contact affiliationForeseen Biotechnology(Beijing) Co., Ltd.
contact emailweijian.liang@foreseenbio.com
dataset submitter
Full Dataset Link List
iProX dataset URI