<<< Full experiment listing

PXD029186

PXD029186 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleSpatial immunophenotypes orchestrate prognosis in triple negative breast cancer with Miller Payne grade 4
DescriptionSome triple-negative breast cancer (TNBC) patients evaluated as Miller-Payne 4 with ypN0 after neoadjuvant chemotherapy (NACT) who have better prognosis should avoid escalation of therapy. We aim to identify these patients through evaluating pretherapeutic spatial distributions of immunophenotypes. Our retrospective study in patients with TNBC assessed as Miller-Payne grade 4/5 with ypN0 showed that Miller-Payne 4 with ypN0 group had poorer 5-year disease-free survival (DFS, 63.8% vs 83.0%, p=0.003) and the 5-year overall survival (OS, 71.0% vs 85.5%, p=0.007) than Miller-Payne 5 with ypN0 group. High TILs were significantly associated with better DFS and OS in patients with Miller-Payne 4 and ypN0 (both p=0.016). Spatially, detected by multiplexed ion beam imaging by time of flight combined with proteomics, tumors assessed as Miller-Payne 4 and ypN0 with good prognosis exhibited an inflamed phenotype, with dominant CD8+ T cells on tumor center, few scattered CD68+ myeloid-derived cells far away from T cells, and deposit of increased activated molecules of lymphocyte. While those with poor prognosis presented excluded phenotype, with few CD8+ T cells restricted to invasive margin and a high density of CD14+CD68+CD11c+ myeloid cells. A good classifier model based on 29 spatial immunophenotypes was established by the random forest algorithm (AUC=0.975), for identifying patients with Miller-Payne 4 and ypN0 who had favorable prognosis. We also observed similar signatures in patients with Miller-Payne 5 and ypN0. Taken together, spatial immunophenotypes may assess the prognosis in TNBC patients with Miller-Payne 4 and ypN0 after NACT.
HostingRepositoryPRIDE
AnnounceDate2024-02-12
AnnouncementXMLSubmission_2024-02-12_09:03:43.853.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterqingyuan zhang
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentThermo Fisher Scientific instrument model
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-10-18 01:53:24ID requested
12024-02-12 09:03:44announced
Publication List
10.1038/S41523-023-00565-8;
Keyword List
submitter keyword: IMC,GLUT1, early-relapsed follicular lymphoma, PI3K/Akt /mTOR signaling, tumor immunomicroenvironment, proteomic
Contact List
qingyuan zhang
contact affiliationDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Heilongjiang Cancer Institute, Harbin 150081, Heilongjiang Province, People闁炽儲鐛� Republic of China.
contact email0566@hrbmu.edu.cn
lab head
qingyuan zhang
contact affiliationDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, People’s Republic of China.
contact email0566@hrbmu.edu.cn
dataset submitter
Full Dataset Link List
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/2023/07/PXD029186
PRIDE project URI
Repository Record List
[ + ]