Journal
CELLS
Volume 11, Issue 6, Pages -Publisher
MDPI
DOI: 10.3390/cells11060973
Keywords
biomarkers; gastrointestinal cancer; mass spectrometry; proteomics; multi-omics
Categories
Funding
- HKW Law including Departmental Seeding Fund [P0031318-UAHS]
- Internal Institutional Research Fund [P0031318-UAHS]
- Hong Kong Polytechnic University
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Gastrointestinal cancers (GICs) are the most diagnosed cancers and the leading cause of cancer-related death globally. Deficiency of effective early diagnostic biomarkers contributes to poor prognosis and treatment outcomes. Proteomics study and its functional analysis hold promise in improving early diagnosis and management of GICs. Challenges remain in validating proteomics-based biomarkers for translation into clinical practice.
Gastrointestinal cancers (GICs) remain the most diagnosed cancers and accounted for the highest cancer-related death globally. The prognosis and treatment outcomes of many GICs are poor because most of the cases are diagnosed in advanced metastatic stages. This is primarily attributed to the deficiency of effective and reliable early diagnostic biomarkers. The existing biomarkers for GICs diagnosis exhibited inadequate specificity and sensitivity. To improve the early diagnosis of GICs, biomarkers with higher specificity and sensitivity are warranted. Proteomics study and its functional analysis focus on elucidating physiological and biological functions of unknown or annotated proteins and deciphering cellular mechanisms at molecular levels. In addition, quantitative analysis of translational proteomics is a promising approach in enhancing the early identification and proper management of GICs. In this review, we focus on the advances in mass spectrometry along with the quantitative and functional analysis of proteomics data that contributes to the establishment of biomarkers for GICs including, colorectal, gastric, hepatocellular, pancreatic, and esophageal cancer. We also discuss the future challenges in the validation of proteomics-based biomarkers for their translation into clinics.
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