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Diagnostic, Predictive, Prognostic, and Therapeutic Molecular Biomarkers in Third Millennium: A Breakthrough in Gastric Cancer.
- Source :
-
BioMed research international [Biomed Res Int] 2017; Vol. 2017, pp. 7869802. Date of Electronic Publication: 2017 Sep 28. - Publication Year :
- 2017
-
Abstract
- Introduction: Gastric cancer is the fifth most common cancer and the third cause of cancer death. The clinical outcomes of the patients are still not encouraging with a low rate of 5 years' survival. Often the disease is diagnosed at advanced stages and this obviously negatively affects patients outcomes. A deep understanding of molecular basis of gastric cancer can lead to the identification of diagnostic, predictive, prognostic, and therapeutic biomarkers.<br />Main Body: This paper aims to give a global view on the molecular classification and mechanisms involved in the development of the tumour and on the biomarkers for gastric cancer. We discuss the role of E-cadherin, HER2, fibroblast growth factor receptor (FGFR), MET, human epidermal growth factor receptor (EGFR), hepatocyte growth factor receptor (HGFR), mammalian target of rapamycin (mTOR), microsatellite instability (MSI), PD-L1, and TP53. We have also considered in this manuscript new emerging biomarkers as matrix metalloproteases (MMPs), microRNAs, and long noncoding RNAs (lncRNAs).<br />Conclusions: Identifying and validating diagnostic, prognostic, predictive, and therapeutic biomarkers will have a huge impact on patients outcomes as they will allow early detection of tumours and also guide the choice of a targeted therapy based on specific molecular features of the cancer.
- Subjects :
- B7-H1 Antigen genetics
Humans
MicroRNAs genetics
Microsatellite Instability
Proto-Oncogene Proteins c-met genetics
Receptor, ErbB-2 genetics
Stomach Neoplasms diagnosis
Stomach Neoplasms pathology
Stomach Neoplasms therapy
TOR Serine-Threonine Kinases genetics
Biomarkers, Tumor genetics
Molecular Targeted Therapy
Prognosis
Stomach Neoplasms genetics
Subjects
Details
- Language :
- English
- ISSN :
- 2314-6141
- Volume :
- 2017
- Database :
- MEDLINE
- Journal :
- BioMed research international
- Publication Type :
- Academic Journal
- Accession number :
- 29094049
- Full Text :
- https://doi.org/10.1155/2017/7869802