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Approaches and genetic determinants in predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer
Gastric cancer remains a major health burden worldwide. There is near-universal agreement that neoadjuvant chemotherapy (NAC) is a preferred management for locally advanced gastric cancer (LAGC). However, the optimal approach for an individual patient is still not clear and remains controversial, wh...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5444758/ https://www.ncbi.nlm.nih.gov/pubmed/27802185 http://dx.doi.org/10.18632/oncotarget.12955 |
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author | Zhou, Jichun Shen, Jianguo Seifer, Benjamin J. Jiang, Shaojie Wang, Ji Xiong, Hanchu Xie, Lingmin Wang, Linbo Sui, Xinbing |
author_facet | Zhou, Jichun Shen, Jianguo Seifer, Benjamin J. Jiang, Shaojie Wang, Ji Xiong, Hanchu Xie, Lingmin Wang, Linbo Sui, Xinbing |
author_sort | Zhou, Jichun |
collection | PubMed |
description | Gastric cancer remains a major health burden worldwide. There is near-universal agreement that neoadjuvant chemotherapy (NAC) is a preferred management for locally advanced gastric cancer (LAGC). However, the optimal approach for an individual patient is still not clear and remains controversial, which could be at least partly explained by the lack of predictive tools. The ability to predict chemosensitivity from NAC in routine clinical practice is difficult and is an area of intense investigation, especially in the Precision-Medicine Era. Available consistent evidence suggests that a favorable tumor histopathological response to NAC may be a useful positive prognostic marker in gastric cancer. Hence, it is reasonable to speculate that making the histopathological response from NAC predictable will dramatically facility the NAC and improve patients outcome. This review provides an overview on the current status of predictive biomarkers for histopathological response from NAC in LAGC, including clinicopathological variables, imaging and molecular testing. Furthermore, limitations and future perspectives are also discussed. |
format | Online Article Text |
id | pubmed-5444758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-54447582017-06-01 Approaches and genetic determinants in predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer Zhou, Jichun Shen, Jianguo Seifer, Benjamin J. Jiang, Shaojie Wang, Ji Xiong, Hanchu Xie, Lingmin Wang, Linbo Sui, Xinbing Oncotarget Clinical Research Paper Gastric cancer remains a major health burden worldwide. There is near-universal agreement that neoadjuvant chemotherapy (NAC) is a preferred management for locally advanced gastric cancer (LAGC). However, the optimal approach for an individual patient is still not clear and remains controversial, which could be at least partly explained by the lack of predictive tools. The ability to predict chemosensitivity from NAC in routine clinical practice is difficult and is an area of intense investigation, especially in the Precision-Medicine Era. Available consistent evidence suggests that a favorable tumor histopathological response to NAC may be a useful positive prognostic marker in gastric cancer. Hence, it is reasonable to speculate that making the histopathological response from NAC predictable will dramatically facility the NAC and improve patients outcome. This review provides an overview on the current status of predictive biomarkers for histopathological response from NAC in LAGC, including clinicopathological variables, imaging and molecular testing. Furthermore, limitations and future perspectives are also discussed. Impact Journals LLC 2016-10-27 /pmc/articles/PMC5444758/ /pubmed/27802185 http://dx.doi.org/10.18632/oncotarget.12955 Text en Copyright: © 2017 Zhou et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Clinical Research Paper Zhou, Jichun Shen, Jianguo Seifer, Benjamin J. Jiang, Shaojie Wang, Ji Xiong, Hanchu Xie, Lingmin Wang, Linbo Sui, Xinbing Approaches and genetic determinants in predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer |
title | Approaches and genetic determinants in predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer |
title_full | Approaches and genetic determinants in predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer |
title_fullStr | Approaches and genetic determinants in predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer |
title_full_unstemmed | Approaches and genetic determinants in predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer |
title_short | Approaches and genetic determinants in predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer |
title_sort | approaches and genetic determinants in predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer |
topic | Clinical Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5444758/ https://www.ncbi.nlm.nih.gov/pubmed/27802185 http://dx.doi.org/10.18632/oncotarget.12955 |
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