PXD066305

PXD066305 is an original dataset announced via ProteomeXchange.

Title	Effects of Glucose Concentration on the Cargo Profile of Gastric Cancer Cell-Derived Extracellular Vesicles
Description	Extracellular vesicles (EVs) play a pivotal role in mediating intercellular communication within the tumor microenvironment, particularly by transferring bioactive molecules such as proteins, RNAs, and lipids. Emerging evidence suggests that the metabolic state of cancer cells can influence the composition and function of their secreted EVs, thereby modulating tumor progression and stromal reprogramming. However, the extent to which glucose availability shapes the cargo profile of EVs in gastric cancer (GC) remains poorly understood. To address this question, we cultured GAN-KP gastric cancer cells under three glucose conditions—normal glucose (LG, physiological level), high glucose (HG), and long-term high glucose (LHG, simulating chronic diabetic conditions)—and subsequently isolated EVs from the conditioned media. Proteomic and transcriptomic profiling of EV cargo revealed marked differences among the three groups, suggesting a glucose-dependent reprogramming of EV content. Notably, comparative analysis identified 44 genes that were consistently upregulated in EVs from both HG and LHG conditions compared to LG. These genes are potentially involved in extracellular matrix organization, immune modulation, and fibroblast activation. The findings indicate that elevated glucose levels not only affect cancer cell-intrinsic signaling but also alter the communicative potential of tumor-derived EVs, possibly contributing to the formation of a pro-metastatic niche. Functional validation of key EV cargo molecules is currently underway to elucidate their roles in stromal remodeling and metastasis facilitation.
HostingRepository	jPOST
AnnounceDate	2026-07-18
AnnouncementXML	Submission_2026-07-17_08:00:13.714.xml
DigitalObjectIdentifier	https://doi.org/10.6019/PXD066305
ReviewLevel	Non peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Supported dataset by repository
PrimarySubmitter	Atsuko Yonemura
SpeciesList	scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationList	S-carboxamidomethyl-L-cysteine; L-methionine sulfoxide; unknown modification
Instrument	Q Exactive

Revision	Datetime	Status	ChangeLog Entry
0	2025-07-18 03:33:09	ID requested
⏵ 1	2026-07-17 08:00:14	announced

Dataset with its publication pending

submitter keyword: Extracellular vesicles, Gastric cancer , Diabetes

Takatsugu Ishimoto
lab head
Atsuko Yonemura
contact affiliation	Japanese Foundation For Cancer Research (JFCR)
dataset submitter

jPOST dataset URI

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