Literature DB >> 32795620

A multilayered epithelial mucosa model of head neck squamous cell carcinoma for analysis of tumor-microenvironment interactions and drug development.

Leonie Gronbach1, Christopher Wolff1, Konrad Klinghammer2, Johannes Stellmacher3, Philipp Jurmeister4, Ulrike Alexiev3, Monika Schäfer-Korting1, Ingeborg Tinhofer5, Ulrich Keilholz6, Christian Zoschke7.   

Abstract

Pharmacotherapy of head and neck squamous cell carcinoma (HNSCC) often fails due to the development of chemoresistance and severe systemic side effects of current regimens limiting dose escalation. Preclinical models comprising all major elements of treatment resistance are urgently needed for the development of new strategies to overcome these limitations. For model establishment, we used tumor cells from patient-derived HNSCC xenografts or cell lines (SCC-25, UM-SCC-22B) and characterized the model phenotype. Docetaxel and cetuximab were selected for comparative analysis of drug-related effects at topical and systemic administration. Cetuximab cell binding was mapped by cluster-based fluorescence lifetime imaging microscopy.The tumor oral mucosa (TOM) models displayed unstructured, hyper-proliferative, and pleomorphic cell layers, reflecting well the original tumor morphology and grading. Dose- and time-dependent effects of docetaxel on tumor size, apoptosis, hypoxia, and interleukin-6 release were observed. Although the spectrum of effects was comparable, significantly lower doses were required to achieve similar docetaxel-induced changes at topical compared to systemic application. Despite displaying anti-proliferative effects in monolayer cultures, cetuximab treatment showed only minor effects in TOM models. This was not due to inefficient cetuximab uptake or target cell binding but likely mediated by microenvironmental components.We developed multi-layered HNSCC models, closely reflecting tumor morphology and displaying complex interactions between the tumor and its microenvironment. Topical application of docetaxel emerged as promising option for HNSCC treatment. Aside from the development of novel strategies for topical drug delivery, our tumor model might help to better understand key regulators of drug-tumor-interactions.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Drug evaluation; Head and neck cancer; Monoclonal antibodies; Taxanes; Tissue engineering

Mesh:

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Year:  2020        PMID: 32795620     DOI: 10.1016/j.biomaterials.2020.120277

Source DB:  PubMed          Journal:  Biomaterials        ISSN: 0142-9612            Impact factor:   12.479


  4 in total

1.  A Dual Fluorescence-Spin Label Probe for Visualization and Quantification of Target Molecules in Tissue by Multiplexed FLIM-EPR Spectroscopy.

Authors:  Pin Dong; Johannes Stellmacher; Lydia M Bouchet; Marius Nieke; Amit Kumar; Ernesto R Osorio-Blanco; Gregor Nagel; Silke B Lohan; Christian Teutloff; Alexa Patzelt; Monika Schäfer-Korting; Marcelo Calderón; Martina C Meinke; Ulrike Alexiev
Journal:  Angew Chem Int Ed Engl       Date:  2021-05-26       Impact factor: 15.336

2.  Primary Extracellular Matrix Enables Long-Term Cultivation of Human Tumor Oral Mucosa Models.

Authors:  Leonie Gronbach; Philipp Jurmeister; Monika Schäfer-Korting; Ulrich Keilholz; Ingeborg Tinhofer; Christian Zoschke
Journal:  Front Bioeng Biotechnol       Date:  2020-12-04

3.  Ursolic Acid Loaded-Mesoporous Hydroxylapatite/ Chitosan Therapeutic Scaffolds Regulate Bone Regeneration Ability by Promoting the M2-Type Polarization of Macrophages.

Authors:  Xijiao Yu; Yuxuan Wang; Xiaoliang Liu; Yuwei Ge; Shanyong Zhang
Journal:  Int J Nanomedicine       Date:  2021-08-06

4.  Immunohistochemical analysis of PD-L1 and tumor-infiltrating immune cells expression in the tumor microenvironment of primary signet ring cell carcinoma of the prostate.

Authors:  Qi-Liang Teng; Xin-Rui Yang; Shuang Wen; Zhi-Hong Dai; Hong-Long Wang; Tian-Qing Liu; Liang Wang; Bo Fan; Zhi-Yu Liu
Journal:  Asian J Androl       Date:  2022 Sep-Oct       Impact factor: 3.054

  4 in total

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