Personalized Treatment Strategies via Integration of Gene Expression Biomarkers in Molecular Profiling of Laryngeal

Antonino Maniaci1,2,3, Giovanni Giurdanella1, Carlos Chiesa Estomba3,4

  • 1Department of Medicine and Surgery, University of Enna "Kore", 94100 Enna, Italy.

PubMed

Insights

This review explores gene expression markers in laryngeal cancer to guide personalized therapy. Understanding these molecular indicators can improve treatment selection and patient outcomes for head and neck oncology.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Laryngeal cancer presents significant challenges in head and neck oncology.
  • There is a growing need for personalized medicine approaches in cancer treatment.

Purpose of the Study:

  • To review the current state of gene expression biomarkers in laryngeal cancer.
  • To evaluate their potential for informing tailored therapeutic strategies.
  • To provide a framework for personalized laryngeal cancer therapy.

Main Methods:

  • Comprehensive review of existing literature on laryngeal cancer gene expression.
  • Analysis of key molecular alterations including TP53, CDKN2A, PIK3CA, and NOTCH1 mutations.
  • Examination of epigenetic modifications like MGMT promoter methylation.
  • Investigation of cancer stem cell markers (CD44, ALDH1A1) and immunotherapy indicators (PD-L1, CTLA-4, tumor mutational burden).

Main Results:

  • Specific gene mutations (TP53, CDKN2A, PIK3CA, NOTCH1) and epigenetic changes (MGMT methylation) are implicated in laryngeal cancer development and progression.
  • Cancer stem cell markers (CD44, ALDH1A1) are linked to therapy resistance.
  • Immunotherapy biomarkers (PD-L1, CTLA-4, TMB) show potential in predicting treatment response.
  • Integration of multi-gene panels with clinicopathological data may enhance prognostic accuracy.

Conclusions:

  • Gene expression profiling offers significant potential for personalized treatment selection in laryngeal cancer.
  • Addressing challenges in standardization is crucial for clinical implementation.
  • Molecularly guided therapies hold promise for improving patient outcomes.