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Identification of biomarkers predicting the chemotherapeutic outcomes of capecitabine and oxaliplatin in patients with gastric cancer
The capecitabine and oxaliplatin (CapeOX) regimen is a commonly used adjuvant chemotherapeutic regimen for gastric cancer (GC). However, some patients exhibit a poor chemotherapy response due to genetic differences among individuals. Therefore, finding an effective sensitization strategy for CapeOX...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530885/ https://www.ncbi.nlm.nih.gov/pubmed/33029206 http://dx.doi.org/10.3892/ol.2020.12153 |
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author | Zhang, Yan Yuan, Zhen Shen, Renbin Jiang, Yannan Xu, Wei Gu, Menghui Gu, Xinhua |
author_facet | Zhang, Yan Yuan, Zhen Shen, Renbin Jiang, Yannan Xu, Wei Gu, Menghui Gu, Xinhua |
author_sort | Zhang, Yan |
collection | PubMed |
description | The capecitabine and oxaliplatin (CapeOX) regimen is a commonly used adjuvant chemotherapeutic regimen for gastric cancer (GC). However, some patients exhibit a poor chemotherapy response due to genetic differences among individuals. Therefore, finding an effective sensitization strategy for CapeOX is important in the treatment of GC. The present study aimed to investigate the predictive biomarkers of the CapeOX chemotherapeutic outcomes for patients with GC. A total of 30 differentially expressed genes (DEGs) were identified using the gene expression profiles from The Cancer Genome Atlas capecitabine and oxaliplatin treatment GC cases and seven key DEGs [uroplakin-1b (UPK1B), fatty acid-binding protein, heart (FABP3), cystatin-M, caspase-5 (CASP5), corticosteroid 11-β-dehydrogenase isozyme 2, cytochrome P450 4X1 (CYP4X1) and epidermal growth factor receptor kinase substrate 8-like protein 3] were associated with survival. Gene validation was performed in clinical samples divided into recurrence and nonrecurrence groups. Patients with high or low expression of UPK1B, FABP3, CASP5 and CYP4X1 had markedly different overall survival rates. A model was established and the area under the curve of the receiver operating characteristic reached 0.875 (0.793–0.957), indicating that the model had good sensitivity and specificity. |
format | Online Article Text |
id | pubmed-7530885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-75308852020-10-06 Identification of biomarkers predicting the chemotherapeutic outcomes of capecitabine and oxaliplatin in patients with gastric cancer Zhang, Yan Yuan, Zhen Shen, Renbin Jiang, Yannan Xu, Wei Gu, Menghui Gu, Xinhua Oncol Lett Articles The capecitabine and oxaliplatin (CapeOX) regimen is a commonly used adjuvant chemotherapeutic regimen for gastric cancer (GC). However, some patients exhibit a poor chemotherapy response due to genetic differences among individuals. Therefore, finding an effective sensitization strategy for CapeOX is important in the treatment of GC. The present study aimed to investigate the predictive biomarkers of the CapeOX chemotherapeutic outcomes for patients with GC. A total of 30 differentially expressed genes (DEGs) were identified using the gene expression profiles from The Cancer Genome Atlas capecitabine and oxaliplatin treatment GC cases and seven key DEGs [uroplakin-1b (UPK1B), fatty acid-binding protein, heart (FABP3), cystatin-M, caspase-5 (CASP5), corticosteroid 11-β-dehydrogenase isozyme 2, cytochrome P450 4X1 (CYP4X1) and epidermal growth factor receptor kinase substrate 8-like protein 3] were associated with survival. Gene validation was performed in clinical samples divided into recurrence and nonrecurrence groups. Patients with high or low expression of UPK1B, FABP3, CASP5 and CYP4X1 had markedly different overall survival rates. A model was established and the area under the curve of the receiver operating characteristic reached 0.875 (0.793–0.957), indicating that the model had good sensitivity and specificity. D.A. Spandidos 2020-12 2020-09-24 /pmc/articles/PMC7530885/ /pubmed/33029206 http://dx.doi.org/10.3892/ol.2020.12153 Text en Copyright: © Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Zhang, Yan Yuan, Zhen Shen, Renbin Jiang, Yannan Xu, Wei Gu, Menghui Gu, Xinhua Identification of biomarkers predicting the chemotherapeutic outcomes of capecitabine and oxaliplatin in patients with gastric cancer |
title | Identification of biomarkers predicting the chemotherapeutic outcomes of capecitabine and oxaliplatin in patients with gastric cancer |
title_full | Identification of biomarkers predicting the chemotherapeutic outcomes of capecitabine and oxaliplatin in patients with gastric cancer |
title_fullStr | Identification of biomarkers predicting the chemotherapeutic outcomes of capecitabine and oxaliplatin in patients with gastric cancer |
title_full_unstemmed | Identification of biomarkers predicting the chemotherapeutic outcomes of capecitabine and oxaliplatin in patients with gastric cancer |
title_short | Identification of biomarkers predicting the chemotherapeutic outcomes of capecitabine and oxaliplatin in patients with gastric cancer |
title_sort | identification of biomarkers predicting the chemotherapeutic outcomes of capecitabine and oxaliplatin in patients with gastric cancer |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530885/ https://www.ncbi.nlm.nih.gov/pubmed/33029206 http://dx.doi.org/10.3892/ol.2020.12153 |
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