4.4 Article

Mining proteomics data to extract post-translational modifications associated with gastric cancer

Journal

AMINO ACIDS
Volume 55, Issue 8, Pages 993-1001

Publisher

SPRINGER WIEN
DOI: 10.1007/s00726-023-03287-0

Keywords

Stomach neoplasms; Data mining; Post-translational modifications; Mass spectrometry; Proteomics

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Gastric cancers are characterized by late diagnosis and poor prognosis, and protein post-translational modifications (PTMs) have been associated with cancer development and metastasis. However, limited data is available on PTMs in gastric cancers. This study used an iterative searching strategy to analyze mass spectrometry data and identified 21,710 unique modification sites on 16,364 modified peptides. The majority of the altered PTMs/proteins were found in cytoskeletal and extracellular matrix proteins, which are known to be perturbed in gastric cancer.
Gastric cancers are highly heterogeneous, deep-seated tumours associated with late diagnosis and poor prognosis. Post-translational modifications (PTMs) of proteins are known to be well-associated with oncogenesis and metastasis in most cancers. Several enzymes which drive PTMs have also been used as theranostics in cancers of the breast, ovary, prostate and bladder. However, there is limited data on PTMs in gastric cancers. Considering that experimental protocols for simultaneous analysis of multiple PTMs are being explored, a data-driven approach involving reanalysis of mass spectrometry-derived data is useful in cataloguing altered PTMs. We subjected publicly available mass spectrometry data on gastric cancer to an iterative searching strategy for fetching PTMs including phosphorylation, acetylation, citrullination, methylation and crotonylation. These PTMs were catalogued and further analyzed for their functional enrichment through motif analysis. This value-added approach delivered identification of 21,710 unique modification sites on 16,364 modified peptides. Interestingly, we observed 278 peptides corresponding to 184 proteins to be differentially abundant. Using bioinformatics approaches, we observed that majority of these altered PTMs/proteins belonged to cytoskeletal and extracellular matrix proteins, which are known to be perturbed in gastric cancer. The dataset derived by this mutiPTM investigation can provide leads to further investigate the potential role of altered PTMs in gastric cancer management.

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