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PXD061032-1

PXD061032 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleIdentification of Multiomics and Immune Infiltration-Associated Biomarkers for Gastric Cancer
DescriptionFresh peripheral blood was collected from gastric cancer patients in the second hospital of Lanzhou University. There were 30 patients with non metastatic gastric cancer (GCMN), 29 patients with healthy control group (NC), 31 patients with gastric mucosal lesions (GML), 8 patients with non metastatic gastric cancer for 1 month (gcmno), 11 patients with non metastatic gastric cancer for 4 months (gcmnsf), 15 patients with metastatic gastric cancer for 1 month (gcmso), 12 patients with metastatic gastric cancer for 4 months (gcmsf), and 15 patients with microsatellite unstable gastric cancer (gcmsi). Blood collection vessels containing coagulant were used to obtain serum. All patients had not received chemotherapy or radiotherapy before sampling, and individuals with autoimmune diseases, infectious diseases or multiple primary cancers were excluded. The clinical stage of the tumor was determined according to the TNM classification system of the International Anti Cancer Alliance (8th Edition). This study has been approved by the medical ethics committee of the second hospital of Lanzhou University (approval No. 2023A-459) and signed a written informed consent with each patient.
HostingRepositoryiProX
AnnounceDate2025-02-21
AnnouncementXMLSubmission_2025-10-30_17:43:30.558.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterShangdi Zhang
SpeciesList scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumenttimsTOF Pro
Dataset History
RevisionDatetimeStatusChangeLog Entry
02025-02-20 19:30:53ID requested
12025-10-30 17:43:31announced
Publication List
Du K, Hu W, Gao S, Gan J, You C, Zhang S, Identification of multiomics and immune infiltration-associated biomarkers for early gastric cancer: a machine learning-based diagnostic model development study. BMC Cancer, 25(1):972(2025) [pubmed]
Keyword List
submitter keyword: Serum proteomics, gastric cancer
Contact List
Chongge You
contact affiliationThe Second Hospital & Clinical Medical School, Lanzhou university
contact emailyouchg@lzu.edu.cn
lab head
Shangdi Zhang
contact affiliationThe Second Hospital & Clinical Medical School, Lanzhou University
contact emailzhangsd1985@126.com
dataset submitter
Full Dataset Link List
iProX dataset URI