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Updated: Jun 17, 2026

Development of Compendium for Esophageal Squamous Cell Carcinoma
03:36

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

Microarray-based response prediction in esophageal adenocarcinoma.

Matthias Schauer1, Klaus-Peter Janssen, Caroline Rimkus

  • 1Department of Surgery, Technische Universitaet Muenchen, Munich, Germany.

Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|December 24, 2009
PubMed
Summary

Gene expression profiling of esophageal adenocarcinoma biopsies can predict neoadjuvant chemotherapy response. This allows for personalized treatment selection before therapy begins, improving outcomes for patients with locally advanced disease.

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Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Neoadjuvant chemotherapy improves outcomes for locally advanced esophageal adenocarcinoma.
  • Patient response to neoadjuvant chemotherapy varies significantly.
  • Predictive biomarkers are needed to personalize treatment strategies.

Purpose of the Study:

  • To investigate if pretreatment tumor biopsy gene expression can predict response to neoadjuvant chemotherapy in esophageal adenocarcinoma.
  • To identify specific genes or pathways associated with chemotherapy response.

Main Methods:

  • Microarray analysis of tumor biopsies from 47 patients with locally advanced esophageal adenocarcinoma.
  • Patients received neoadjuvant chemotherapy (cisplatin, 5-fluorouracil, leucovorin) followed by surgery.

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Last Updated: Jun 17, 2026

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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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  • Statistical comparison of gene expression profiles between responders and non-responders.
  • Immunohistology for Ephrin B3 receptor and Ki-67 was performed.

    • Main Results:

    • 86 genes showed at least 2-fold differential regulation between responding and non-responding tumors.
    • Differentially regulated genes were involved in cell cycle, signal transduction, and cell-cell interactions.
    • Ephrin B3 receptor expression was significantly higher in responders and correlated with chemotherapy response, pathologic staging, and grading.

    Conclusions:

    • Significant differences in gene profiles exist between patients who respond and those who do not respond to neoadjuvant chemotherapy.
    • Customized microarray analysis of pretreatment biopsies may enable prediction of chemotherapy response.
    • This approach could facilitate personalized treatment selection for esophageal adenocarcinoma.