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Predicting the response of localised oesophageal cancer to neo-adjuvant chemoradiation

BACKGROUND: A complete pathological response to neo-adjuvant chemo-radiation for oesophageal cancer is associated with favourable survival. However, such a benefit is seen in the minority. If one could identify, at diagnosis, those patients who were unlikely to respond unnecessary toxicity could be...

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Detalles Bibliográficos
Autores principales: Gillham, Charles M, Reynolds, John, Hollywood, Donal
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1999497/
https://www.ncbi.nlm.nih.gov/pubmed/17716369
http://dx.doi.org/10.1186/1477-7819-5-97
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author Gillham, Charles M
Reynolds, John
Hollywood, Donal
author_facet Gillham, Charles M
Reynolds, John
Hollywood, Donal
author_sort Gillham, Charles M
collection PubMed
description BACKGROUND: A complete pathological response to neo-adjuvant chemo-radiation for oesophageal cancer is associated with favourable survival. However, such a benefit is seen in the minority. If one could identify, at diagnosis, those patients who were unlikely to respond unnecessary toxicity could be avoided and alternative treatment can be considered. The aim of this review was to highlight predictive markers currently assessed and evaluate their clinical utility. METHODS: A systematic search of Pubmed and Google Scholar was performed using the following keywords; "neo-adjuvant", "oesophageal", "trimodality", "chemotherapy", "radiotherapy", "chemoradiation" and "predict". The original manuscripts were sourced for further articles of relevance. RESULTS: Conventional indices including tumour stage and grade seem unable to predict histological response. Immuno-histochemical markers have been extensively studied, but none has made its way into routine clinical practice. Global gene expression from fresh pre-treatment tissue using cDNA microarray has only recently been assessed, but shows considerable promise. Molecular imaging using FDG-PET seems to be able to predict response after neo-adjuvant chemoradiation has finished, but there is a paucity of data when such imaging is performed earlier. CONCLUSION: Currently there are no clinically useful predictors of response based on standard pathological assessment and immunohistochemistry. Genomics, proteomics and molecular imaging may hold promise.
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spelling pubmed-19994972007-10-03 Predicting the response of localised oesophageal cancer to neo-adjuvant chemoradiation Gillham, Charles M Reynolds, John Hollywood, Donal World J Surg Oncol Review BACKGROUND: A complete pathological response to neo-adjuvant chemo-radiation for oesophageal cancer is associated with favourable survival. However, such a benefit is seen in the minority. If one could identify, at diagnosis, those patients who were unlikely to respond unnecessary toxicity could be avoided and alternative treatment can be considered. The aim of this review was to highlight predictive markers currently assessed and evaluate their clinical utility. METHODS: A systematic search of Pubmed and Google Scholar was performed using the following keywords; "neo-adjuvant", "oesophageal", "trimodality", "chemotherapy", "radiotherapy", "chemoradiation" and "predict". The original manuscripts were sourced for further articles of relevance. RESULTS: Conventional indices including tumour stage and grade seem unable to predict histological response. Immuno-histochemical markers have been extensively studied, but none has made its way into routine clinical practice. Global gene expression from fresh pre-treatment tissue using cDNA microarray has only recently been assessed, but shows considerable promise. Molecular imaging using FDG-PET seems to be able to predict response after neo-adjuvant chemoradiation has finished, but there is a paucity of data when such imaging is performed earlier. CONCLUSION: Currently there are no clinically useful predictors of response based on standard pathological assessment and immunohistochemistry. Genomics, proteomics and molecular imaging may hold promise. BioMed Central 2007-08-23 /pmc/articles/PMC1999497/ /pubmed/17716369 http://dx.doi.org/10.1186/1477-7819-5-97 Text en Copyright © 2007 Gillham et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Gillham, Charles M
Reynolds, John
Hollywood, Donal
Predicting the response of localised oesophageal cancer to neo-adjuvant chemoradiation
title Predicting the response of localised oesophageal cancer to neo-adjuvant chemoradiation
title_full Predicting the response of localised oesophageal cancer to neo-adjuvant chemoradiation
title_fullStr Predicting the response of localised oesophageal cancer to neo-adjuvant chemoradiation
title_full_unstemmed Predicting the response of localised oesophageal cancer to neo-adjuvant chemoradiation
title_short Predicting the response of localised oesophageal cancer to neo-adjuvant chemoradiation
title_sort predicting the response of localised oesophageal cancer to neo-adjuvant chemoradiation
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1999497/
https://www.ncbi.nlm.nih.gov/pubmed/17716369
http://dx.doi.org/10.1186/1477-7819-5-97
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