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Identification of Multiomics and Immune Infiltration-Associated Biomarkers for Gastric Cancer

ABSTRACT: Fresh 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.

ORGANISM(S): Homo Sapiens

SUBMITTER: Chongge You

PROVIDER: PXD061032 | iProX | Fri Feb 21 00:00:00 GMT 2025

REPOSITORIES: iProX

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Identification of multiomics and immune infiltration-associated biomarkers for early gastric cancer: a machine learning-based diagnostic model development study.

Du Kewei K Hu Wenfei W Gao Shan S Gan Jianxin J You Chongge C Zhang Shangdi S

BMC cancer 20250531 1

PMID: 40450287

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