Copyright
©The Author(s) 2016.
World J Gastroenterol. Jul 14, 2016; 22(26): 5896-5908
Published online Jul 14, 2016. doi: 10.3748/wjg.v22.i26.5896
Published online Jul 14, 2016. doi: 10.3748/wjg.v22.i26.5896
Marker type | Name | Drug predicted | Predicted drug effect |
Genetic markers | 13 gene signature[48] | 5-FU | Sensitivity or resistance to 5-FU |
Genetic markers | MRP4[49] | Cisplatin | DDP resistance |
Genetic markers | Metallothionein-IG and HBEGF[25] | Cisplatin | DDP resistance |
Genetic markers | Dihydropyrimidine | 5-FU | 5-FU resistance |
Dehydrogenase and HB-EGF-like growth factor genes[25] | |||
Genetic markers | Panel of genes[26] | Doxorubicin | Predicts response to chemotherapy |
Genetic markers | Dihydropyrimidine | 5-FU | 5-FU resistance |
Dehydrogenase and HB-EGF-like growth factor genes[25] | |||
Genetic markers | TP53 codon 72 polymorphism[50] | Paclitaxel and cisplatin | Certain genotypes predict response to combination therapy |
lncRNA | lncRNA MRUL[36] | Multiple chemotherapeutic drugs | Multidrug resistance |
Epigenetic Markers | Methylation BMP4[38] | Cisplatin | High expression predicts resistance to the drug |
Epigenetic Markers | Promoter methylation of RPRM[39] | CDDP and 5-FU | Prediction of response to treatment |
Epigenetic markers | Methylation of BNIP3 and DAPK[37] | Fluoropyrimidine-based chemotherapy | Methylation predicts lower response to chemotherapy |
miRNA | miRNA27a[34] | Fluoropyrimidine combined with oxaliplatin or paclitaxil | Prediction of response to treatment |
MicroRNA | 58 signature mi-RNA; among them: let-7g, miR-342, miR-16, miR-181, miR-1, and miR-34[33] | Cisplatin and 5-FU | Chemotherapeutic response |
Protein markers | Thymidylate synthetase (TS) and Dihydropyrimidine dehydrogenase (DPD)[27,40] | 5-FU | Correlation with tumor sensitivity to 5-FU |
Serum protein | AMBP[41] | paclitaxel–capecitabine | Predicts response to chemotherapy |
Tissue protein | FOXM1[43] | Docetaxel | Resistance to Docetaxel |
Transcription factor | |||
Protein markers | Ribosomal proteins S13 and L23[47] | vincristine, adriamycin, and 5-FU | Multidrug resistance by inhibition of chemotherapy related cell death and detoxification system |
Serum protein (ELISA) | REG4[42] | 5-FU | Resistance to 5-FU containing regimens |
Protein markers | Class III β tubulin serum level[45,46] | Paclitaxel plus capecitabine | Prediction of response to treatment |
Drug name | Type | Molecular effect | Primary cancer which it is used | Effect on gastric cancer in studies |
Trastuzumab[17] | Fully humanized monoclonal antibody | Anti-HER-2 receptor protein | Breast cancer | Effective |
First approved molecular therapy | ||||
Sunitinib[17] | Oral multi-tyrosine kinase inhibitor | Anti- VEGF, PDGF and KIT receptors | Gastrintestinal stromal tumors, renal cell carcinoma and pancreatic neuroendocrine tumors | Limited therapeutic effect |
Bevacizumab[131,132] | Fully humanized monoclonal antibody | Anti-VEGF | Colorectal cancer, non small cell lung cancer and breast cancer | Gives better survival in peritoneal metastatic disease or combined with anti-HER-2 therapy |
Lapatinib[17] | Oral dual tyrosine kinase inhibitor | Anti-EGFR and HER-2 | HER-2 positive advanced breast cancer | Not effective |
Everolimus[17] | Oral mTOR inhibitor | Anti-intracellular receptor FKBP12 | Renal cancer | Effective in advanced gastric cancer |
Ramucirumab[17] | Fully humanized IgG1 monoclonal antibody | Anti-VEGFR-2 | Gastric and lung cancer | Effective approved |
Cetuximab[17] | Monoclonal IgG antibody | Anti-EGFR | Colorectal cancer | Not effective |
Panitumumab[17] | Fully humanized IgG2 monoclonal antibody | Anti-EGFR | Advanced colorectal cancer | Not effective |
Gefitinib[133] | Tyrosine kinase inhibitor | Anti- EGFR | EGFR mutation positive lung cancer | Not effective |
Matuzumab[134] | Fully humanized monoclonal antibody | Anti-EGFR | Not yet approved in any other indication | Moderately effective |
Tivantinib[94] | Tyrosine kinase inhibitor | Selective c-Met inhibitor | Not yet approved in any other indication | moderately effective |
Onartuzumab[135] | Fully humanized monoclonal antibody | Anti-extracellulardomain of the tyrosine kinase receptor MET | Not yet approved in any other indication | Not effective |
Regorafenib[73] | Tyrosine kinase inhibitor | Anti-angiogenic factor | Gastrointestinal stromal tumors | Found effective when tested on xenograft model with GC |
Pembrolizumab[100] | Monoclonal antibody | PD-1 inhibitor | Advanced melanoma, advanced lung cancer | Promising phase IB results. |
Phase III results are awaited | ||||
Apatinib[72] | Tyrosine kinase inhibitor | Multikinase inhibitor | Not yet approved in any other indication | Shown to be effective in a phase III Chinese study |
- Citation: Matboli M, El-Nakeep S, Hossam N, Habieb A, Azazy AEM, Ebrahim AE, Nagy Z, Abdel-Rahman O. Exploring the role of molecular biomarkers as a potential weapon against gastric cancer: A review of the literature. World J Gastroenterol 2016; 22(26): 5896-5908
- URL: https://www.wjgnet.com/1007-9327/full/v22/i26/5896.htm
- DOI: https://dx.doi.org/10.3748/wjg.v22.i26.5896