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Prognostication and prediction using gene expression profiling in oesophageal cancer.

J Stiekema ,
H Boot ,
B M P Aleman ,
L F A Wessels ,
J W van Sandick

Abstract

METHODS

We performed a review of the literature (2000-2010) on prognostication and prediction using gene expression analysis in oesophageal cancer.

CONCLUSION

Gene expression profiling has potential clinical applications in oesophageal cancer. Especially a signature which is predictive for response to neoadjuvant treatment could be of great clinical value. To date, most published studies suffer from an underpowered training cohort or lack adequate validation. Clinicians should put effort in the collection of high quality tissue samples and should participate in biobank initiatives, considering the increasing availability and possibilities of sequencing technology.

RESULTS

Seventeen papers comprising 638 patients were included. Gene expression profiles studied in relation to survival, lymph node metastasis and response to neoadjuvant therapy. Most studies included a limited number of patients. Several prognostic and predictive gene signatures were identified with different accuracies. In only one study, the gene signature was validated in a large, independent patient cohort.

AIM

To evaluate current literature on gene expression profiling in oesophageal cancer.

More about this publication

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology

Volume 39
Issue nr. 1
Pages 17-23
Publication date 01-01-2013

Full text links

Publisher website (DOI) 10.1016/j.ejso.2012.07.008
Europe PubMed Central 22840877
Pubmed 22840877

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