Characterization of squamous cell carcinoma in an organotypic culture via subsurface non-linear optical molecular

Christina S Scanlon1, Elizabeth A Van Tubergen, Leng-Chun Chen

  • 1Department of Periodontics and Oral Medicine, School of Dentistry, University of Michigan, MI 48109-1078, USA.

Insights

Tristetraprolin (TTP) deficiency increases head and neck cancer invasion. A new 3D organotypic model and imaging method track live cancer cell invasion and matrix destruction, mimicking clinical HNSCC progression.

Area of Science:

  • Biomedical Engineering
  • Cancer Research
  • Optical Imaging

Background:

  • Tristetraprolin (TTP) downregulates cytokines driving head and neck squamous cell carcinoma (HNSCC) progression.
  • TTP-deficient HNSCC cells exhibit increased invasiveness.
  • Current in vitro models lack complex tissue microenvironments.

Purpose of the Study:

  • To develop and validate a novel 3D organotypic construct for studying HNSCC invasion.
  • To present a subsurface non-linear optical molecular imaging method for live cell tracking.
  • To compare live imaging data with histology of fixed tissue specimens.

Main Methods:

  • Preparation of a 3D oral cancer equivalent (OCE) model using decellularized human dermal tissue and keratinocytes.
  • Utilizing subsurface non-linear optical molecular imaging to track live HNSCC cell invasion.
  • Stratification and invasion of HNSCC cells beyond the engineered basement membrane into connective tissue.

Main Results:

  • The OCE model successfully mimics HNSCC invasion beyond the basement membrane.
  • Live cell imaging allowed real-time tracking of 3D cell movement and matrix degradation.
  • The imaging data correlated with histology of fixed tissue specimens.

Conclusions:

  • The OCE model provides a more clinically relevant in vitro system for HNSCC research.
  • The novel imaging strategy enables quantification of matrix destruction by invading cancer cells.
  • This approach can be adapted for studying other 3D tissue constructs and diseases.

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