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Biomarkers for predicting the response of esophageal squamous cell carcinoma to neoadjuvant chemoradiation therapy.
- Source :
-
Surgery today [Surg Today] 2014 Mar; Vol. 44 (3), pp. 421-8. Date of Electronic Publication: 2013 Apr 19. - Publication Year :
- 2014
-
Abstract
- This review summarizes and evaluates the literature regarding the biomarkers for predicting the response and/or prognosis of esophageal squamous cell carcinoma (ESCC) patients treated with neoadjuvant chemoradiation therapy (CRT). There are seven categories of molecules known to correlate with the response and/or prognosis: tumor suppressors (p53, p21), cell cycle regulators (Cyclin D1, CDC25B, 14-3-3sigma), DNA repair molecules (p53R2, ERCC1), drug resistance proteins [metallothionein (MT)], angiogenic factors (VEGF), molecules involved in cell proliferation/invasion/metastasis (Ki-67, COX-2) and hedgehog signaling molecules (Gli-1). Of the above molecules, the tumor suppressor p53 is expected to be a representative biomarker for predicting the response and prognosis. The cell cycle markers CDC25B and 14-3-3sigma have potential as response biomarkers independent of the p53 status. The DNA repair markers, p53R2 or ERCC1, angiogenic molecule (VEGF), and hedgehog signaling pathway factor Gli-1 also have potential to predict the response and prognosis of ESCC. However, there are still many unanswered questions with regard to predicting the clinical effects of neoadjuvant CRT.
- Subjects :
- Carcinoma, Squamous Cell diagnosis
Cyclooxygenase 2 analysis
Esophageal Neoplasms diagnosis
Forecasting
Humans
Ki-67 Antigen analysis
Meta-Analysis as Topic
Metallothionein analysis
Prognosis
Vascular Endothelial Growth Factor A analysis
Biomarkers, Tumor analysis
Carcinoma, Squamous Cell genetics
Carcinoma, Squamous Cell therapy
Cell Cycle Proteins analysis
Chemoradiotherapy, Adjuvant
DNA-Binding Proteins analysis
Endonucleases analysis
Esophageal Neoplasms genetics
Esophageal Neoplasms therapy
Neoadjuvant Therapy
Ribonucleotide Reductases analysis
Tumor Suppressor Protein p53 analysis
Subjects
Details
- Language :
- English
- ISSN :
- 1436-2813
- Volume :
- 44
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Surgery today
- Publication Type :
- Academic Journal
- Accession number :
- 23605218
- Full Text :
- https://doi.org/10.1007/s00595-013-0580-y