PXD045945-1

PXD045945 is an original dataset announced via ProteomeXchange.

Title	PD-L1 Mediated Immune Evasion in Triple Negative Breast Cancer Is Linked to the Loss of ZNF652
Description	The intrinsic regulation of PD-L1 expression remains unclear. Here we report that ZNF652 is a potent transcription repressor of PD-L1. ZNF652 frequently loses heterozygosity (LOH) in various cancers. Higher LOH rate and lack of estrogen-inducible transcription lead to suppressed expression of ZNF652 in triple-negative breast cancer (TNBC). Mechanistically, ZNF652 is physically associated with the NuRD transcription corepressor complex to repress a cohort of genes, including PD-L1. Overexpression of ZNF652 inhibits PD-L1 transcription, whereas depletion of ZNF652 upregulates PD-L1. Loss of ZNF652 in TNBC unleashes PD-L1-mediated immune evasion both in vitro and in vivo. Significantly, ZNF652 expression is progressively lost during breast cancer progression, and low ZNF652 level is correlated with elevated PD-L1 expression, less infiltrated CD8+ T cells, and poor prognosis in TNBC. Our study provides novel insights into PD-L1 regulation, and supports the pursuit of ZNF652 as a potential biomarker and drug target for breast cancer immunotherapy.
HostingRepository	iProX
AnnounceDate	2023-09-29
AnnouncementXML	Submission_2023-10-06_22:30:49.668.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Haohao Tang
SpeciesList	scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Fusion

Revision	Datetime	Status	ChangeLog Entry
0	2023-10-06 22:30:36	ID requested
⏵ 1	2023-10-06 22:30:50	announced
2	2023-12-18 20:04:23	announced	2023-12-19: Update information.

Dataset with its publication pending

submitter keyword: Cancer immune evasion, PD-L1, breast cancer, transcription repression, ZNF652

Yang Chen
contact affiliation	Peking University Health Science Center
contact email	chenyang1816185048@bjmu.edu.cn
lab head
Haohao Tang
contact affiliation	Peking University Health Science Center
contact email	Tanghaohao0987@163.com
dataset submitter

iProX dataset URI