Highly Multiplexed Digital Spatial Profiling of the Tumor Microenvironment of Head and Neck Squamous Cell Carcinoma Patients
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Kulasinghe-2021-Highly-multiplexed-digital-spatial-. Available under License Creative Commons Attribution 4.0. |
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Description
Background: Immune checkpoint inhibitors (ICI) have shown durable and long-term benefits in a subset of head and neck squamous cell carcinoma (HNSCC) patients. To identify patient-responders from non-responders, biomarkers are needed which are predictive of outcome to ICI therapy. Cues in the tumor microenvironment (TME) have been informative in understanding the tumor-immune contexture.
Methods: In this preliminary study, the NanoString GeoMx™ Digital Spatial Profiling (DSP) technology was used to determine the immune marker and compartment specific measurements in a cohort of HNSCC tumors from patients receiving ICI therapy.
Results: Our data revealed that markers involved with immune cell infiltration (CD8 T-cells) were not predictive of outcome to ICI therapy. Rather, a number of immune cell types and protein markers (CD4, CD68, CD45, CD44, CD66b) were found to correlate with progressive disease. Cross platform comparison with the Opal Vectra (Perkin Elmer) for a number of markers across similar regions of interest demonstrated concordance for pan-cytokeratin, CD8, and PD-L1.
Conclusion: This study, to our knowledge, represents the first digital spatial analysis of HNSCC tumors. A larger cohort of HNSCC will be required to orthogonally validate the findings.
Impact and interest:
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| ID Code: | 207631 | ||||||
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| Item Type: | Contribution to Journal (Journal Article) | ||||||
| Refereed: | Yes | ||||||
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| Additional Information: | This study was supported by an NHMRC ECF (APP1157741) and Cure Cancer (APP1182179). The authors are grateful for the clinical trials support at the Royal Brisbane and Women’s Hospital. | ||||||
| Measurements or Duration: | 9 pages | ||||||
| DOI: | 10.3389/fonc.2020.607349 | ||||||
| ISSN: | 2234-943X | ||||||
| Pure ID: | 74940757 | ||||||
| Divisions: | Current > Research Centres > Centre for Biomedical Technologies Current > Research Centres > Centre for Genomics and Personalised Health Current > QUT Faculties and Divisions > Faculty of Engineering Current > QUT Faculties and Divisions > Faculty of Health Current > Schools > School of Biomedical Sciences |
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| Copyright Owner: | 2021 The Author(s) | ||||||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||||
| Deposited On: | 28 Jan 2021 06:06 | ||||||
| Last Modified: | 02 Aug 2024 03:16 |
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