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Review of recent efforts to discover biomarkers for early detection, monitoring, prognosis, and prediction of treatment responses of patients with gastric cancer.
- Source :
-
Expert review of gastroenterology & hepatology [Expert Rev Gastroenterol Hepatol] 2018 Jul; Vol. 12 (7), pp. 657-670. Date of Electronic Publication: 2018 Jun 25. - Publication Year :
- 2018
-
Abstract
- Introduction: Gastric cancer (GC) is the leading cause of cancer-related death worldwide. Despite recent advances in diagnosis and therapy, the prognosis of patients with GC is poor. Many patients have inoperable disease upon diagnosis or experience recurrent disease after curative gastrectomy. Unfortunately, tumor markers for GC, such as serum carcinoembryonic antigen and carbohydrate antigen 19-9, lack sufficient sensitivity and specificity. Therefore, effective biomarkers are required to detect early GC and to predict tumor recurrence and chemosensitivity. Areas covered: Here we aimed to review recent developments in techniques that improve the detection of aberrant expression of GC-associated molecules, including protein coding genes, microRNAs, long noncoding RNAs, and methylated promoter DNAs. Expert commentary: Detection of genetic and epigenetic alterations in gastric tissue or in the circulation will likely improve the diagnosis and management of GC to achieve significantly improved outcomes.
- Subjects :
- Circulating MicroRNA genetics
DNA Methylation
Epigenesis, Genetic
Gene Expression Regulation, Neoplastic
Humans
Predictive Value of Tests
RNA, Long Noncoding genetics
Stomach Neoplasms genetics
Stomach Neoplasms metabolism
Stomach Neoplasms pathology
Treatment Outcome
Biomarkers, Tumor genetics
Biomarkers, Tumor metabolism
Early Detection of Cancer methods
Molecular Diagnostic Techniques
Stomach Neoplasms therapy
Subjects
Details
- Language :
- English
- ISSN :
- 1747-4132
- Volume :
- 12
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Expert review of gastroenterology & hepatology
- Publication Type :
- Academic Journal
- Accession number :
- 29902383
- Full Text :
- https://doi.org/10.1080/17474124.2018.1489233