Proteomics Analysis of Gastric Cancer Patients with Diabetes Mellitus.
Hugo OsórioCátia SilvaMarta FerreiraIrene GulloValdemar MáximoRita BarrosFernando MendonçaCarla OliveiraFátima CarneiroPublished in: Journal of clinical medicine (2021)
Proteomics is a powerful approach to study the molecular mechanisms of cancer. In this study, we aim to characterize the proteomic profile of gastric cancer (GC) in patients with diabetes mellitus (DM) type 2. Forty GC tissue samples including 19 cases from diabetic patients and 21 cases from individuals without diabetes (control group) were selected for the proteomics analysis. Gastric tissues were processed following the single-pot, solid-phase-enhanced sample preparation approach-SP3 and enzymatic digestion with trypsin. The resulting peptides were analyzed by LC-MS Liquid Chromatography-Mass Spectrometry (LC-MS). The comparison of protein expression levels between GC samples from diabetic and non-diabetic patients was performed by label-free quantification (LFQ). A total of 6599 protein groups were identified in the 40 samples. Thirty-seven proteins were differentially expressed among the two groups, with 16 upregulated and 21 downregulated in the diabetic cohort. Statistical overrepresentation tests were considered for different annotation sets including the Gene Ontology(GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome, and Disease functional databases. Upregulated proteins in the GC samples from diabetic patients were particularly enriched in respiratory electron transport and alcohol metabolic biological processes, while downregulated proteins were associated with epithelial cancers, intestinal diseases, and cell-cell junction cellular components. Taken together, these results support the data already obtained by previous studies that associate diabetes with metabolic disorders and diabetes-associated diseases, such as Alzheimer's and Parkinson's, and also provide valuable insights into seven GC-associated protein targets, claudin-3, polymeric immunoglobulin receptor protein, cadherin-17, villin-1, transglutaminase-2, desmoglein-2, and mucin-13, which warrant further investigation.
Keyphrases
- mass spectrometry
- label free
- gas chromatography
- liquid chromatography
- type diabetes
- glycemic control
- cardiovascular disease
- high resolution mass spectrometry
- single cell
- tandem mass spectrometry
- cell therapy
- drug delivery
- capillary electrophoresis
- genome wide
- high performance liquid chromatography
- gene expression
- copy number
- amino acid
- squamous cell carcinoma
- binding protein
- machine learning
- cognitive decline
- big data
- adipose tissue
- deep learning
- simultaneous determination
- solid phase extraction
- drug release
- molecularly imprinted