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Published on: April 12, 2024
Prognostication and prediction using gene expression profiling in oesophageal cancer
J Stiekema1, H Boot, B M P Aleman
1Department of Surgery, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands. j.stiekema@nki.nl
Summary
Gene expression profiling shows promise for esophageal cancer treatment and prognosis. However, most studies lack sufficient patient numbers and validation, highlighting the need for high-quality samples and biobanking.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Esophageal cancer is a significant global health concern.
- Gene expression profiling offers potential for personalized treatment strategies.
Purpose of the Study:
- To review and evaluate the existing literature on gene expression profiling in esophageal cancer.
- To assess the prognostic and predictive value of gene expression signatures.
Main Methods:
- A comprehensive literature review was conducted for studies published between 2000 and 2010.
- Seventeen studies involving 638 patients were analyzed.
Main Results:
- Gene expression profiles were linked to patient survival, lymph node metastasis, and response to neoadjuvant therapy.
- Several prognostic and predictive gene signatures were identified with varying accuracy.
- Limited patient cohorts and inadequate validation were common limitations across studies.
Conclusions:
- Gene expression profiling holds potential for clinical applications in esophageal cancer management.
- Predictive signatures for neoadjuvant treatment response are of particular clinical interest.
- Future research requires robust validation and high-quality tissue sample collection, emphasizing biobank participation.
