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Thymidylate synthase expression and response to neoadjuvant chemotherapy in patients with advanced head and neck

P G Johnston1, R Mick, W Recant

  • 1NCI-Navy Medical Oncology Branch, USA.

Abstract

Insights

Tumor thymidylate synthase (TS) expression levels and patterns can predict response to fluoropyrimidine chemotherapy in advanced head and neck cancer patients. Focal TS expression is linked to longer survival, especially with high TS levels.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Therapeutics

Background:

  • Thymidylate synthase (TS) is a key enzyme in DNA synthesis and a primary target for fluoropyrimidine antineoplastic agents.
  • Fluoropyrimidines are widely used in treating head and neck cancer.

Purpose of the Study:

  • To investigate the correlation between tumor TS expression (level and pattern) and patient response to neoadjuvant chemotherapy.
  • To identify potential biomarkers for predicting treatment efficacy in advanced head and neck cancer.

Main Methods:

  • Retrospective analysis of tumor specimens from 86 patients with advanced head and neck cancer.
  • Immunohistochemical assessment of TS protein expression intensity (TS 0-1 low, TS 2 intermediate, TS 3 high) and pattern (focal vs. diffuse).
  • Correlation of TS expression with tumor differentiation, response to 5-FU-based neoadjuvant chemotherapy, and overall survival.

Main Results:

  • Higher TS expression levels correlated with poorer tumor differentiation (P=.04).
  • High TS expression (TS 3) was associated with a trend towards lower complete response rates (P=.09), significantly in patients receiving IFN alpha-2b (P=.02).
  • Focal TS expression patterns correlated with significantly longer survival compared to diffuse patterns (P=.04), particularly in patients with high TS levels (TS 3).

Conclusions:

  • Tumor TS expression characterization can help identify patients with advanced head and neck cancer likely to benefit from fluoropyrimidine-based neoadjuvant chemotherapy.
  • TS expression level and pattern may serve as predictive biomarkers for treatment response and survival outcomes.

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