PXD037038

PXD037038 is an original dataset announced via ProteomeXchange.

Title	Profiling of pancreatic adenocarcinoma using artificial intelligence-based integration of multi-omic and computational pathology features
Description	Contemporary analyses focused on a limited number of clinical and molecular features have been unable to accurately predict clinical outcomes in pancreatic ductal adenocarcinoma (PDAC). Here we describe a novel, conceptual approach and use it to analyze clinical, computational pathology, and molecular (DNA, RNA, protein, and lipid) analyte data from 74 patients with resectable PDAC. Multiple, independent, machine learning models were developed and tested on curated single and multi-omic feature/analyte panels to determine their ability to predict clinical outcomes in patients. The multi-omic models predicted recurrence with an accuracy and positive predictive value (PPV) of 0.90, 0.91, and survival of 0.85, 0.87, respectively, outperforming every single omic model. In predicting survival, we defined a parsimonious model with only 589 multi-omic analytes that had an accuracy and PPV of 0.85. Our approach enables discovery of parsimonious biomarker panels with similar predictive performance to that of larger and resource consuming panels and thereby has a significant potential to democratize precision cancer medicine worldwide.
HostingRepository	PRIDE
AnnounceDate	2024-01-24
AnnouncementXML	Submission_2024-01-24_02:11:27.379.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Niveda Sundararaman
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Fusion Lumos; Orbitrap Fusion

Revision	Datetime	Status	ChangeLog Entry
0	2022-09-27 11:31:25	ID requested
⏵ 1	2024-01-24 02:11:27	announced

Dataset with its publication pending

submitter keyword: parsimonious models,: Precision medicine, pancreatic cancer, biomarker models, global public health

Jennifer Van
contact affiliation	Director, Advanced Clinical Biosystems Institute, Cedars Sinai Medical Center
contact email	Jennifer.VanEyk@cshs.org
lab head
Niveda Sundararaman
contact affiliation	Cedars Sinai Medical Center
contact email	Niveda.Sundararaman@cshs.org
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/2024/01/PXD037038

PRIDE project URI

• PRIDE
  1. PXD037038
     1. Label: PRIDE project
     2. Name: Profiling of pancreatic adenocarcinoma using artificial intelligence-based integration of multi-omic and computational pathology features