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For locally advanced and recurrent / metastatic head & neck squamous cell carcinoma (HNSCC), the is an unmet need for the development of efficient treatment combinations, particularly with immune checkpoint inhibitors. HNSCC have been characterized at the genetic / molecular level concerning characteristics of malignancy and potential clinical actionability ; currently, however, the integration of molecular characteristics of both the malignant cells and the host immune response are considered fundamental for the selection of treatment that best suits these patients .
The primary objective of the NCR-17-12885 project is to classify HNSCC for the selection of optimal therapeutic interventions for the patients, based on genomic characteristics and mutational processes operating in these tumours and on the prevailing activated immune pathways.
Herein we propose the development of a combined genomic and gene expression assay for the comprehensive evaluation of HNSCC for the classification of tumors into (a) those with activated checkpoint molecules and activated T cells, likely to respond to checkpoint inhibition in the case of non-operable disease or recurrent disease without prior treatment; (b) those with inducible checkpoint and T cell response prior to the administration of checkpoint inhibitors; (c) those with activated early inflammatory response that needs to be transformed to cell mediated activation; and (d) those with stable genomes and no immune activation probably necessitating induction of genomic instability and T cell activation.
The test to be developed will provide information on the genomic integrity of the tumor and on a global immune related gene expression profile, both by next generation sequencing
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Combined DNA/RNA sequencing on clinical FFPE material (technically challenging; innovative); immuno-genomics test. | Genetic | Dual extractions (DNA/RNA) will be carried out from macrodissected thick unstained FFPE sections; samples will be measured for adequate quality / quantity; libraries will be constructed separately with each panel and samples will be sequenced in the same chip in an Ion Torrent Proton System, according to the manufacturer's instructions. Sequencing results will be called with the Variant Caller for each panel and submitted for initial analysis and annotation to the Ion Reporter pipeline with each DNA and RNA panel |
| Measure | Description | Time Frame |
|---|---|---|
| Classification of HNSCC based on their genomic and immune-related gene expression characteristics. | To classify HNSCC for the selection of optimal therapeutic interventions for the patients; classification will be based on present genomic characteristics and mutational processes behind them, and on the prevailing activated immune pathways. | 5 years |
| Measure | Description | Time Frame |
|---|---|---|
| Report on analytical performance of the test | (orthogonal validation with dd-sequencing for genomic variants and comparison of RNA sequencing profiles with the existing Illumina DASL gene expression profiling data | 5 years |
| HNSCC classification for comparison with (a) PD-L1 IHC (SP263 assay), and (b) the combined IFNG/PD-L1 mRNA ratio (qRT-PCR) |
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Inclusion Criteria:
-Patients with locally advanced squamous cell carcinoma of the head and neck who were treated with concurrent chemoradiotherapy (CCRT) with or without induction chemotherapy (IC) or radical surgery +/- radiotherapy for laryngeal tumors.
Exclusion Criteria:
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Patients with locally advanced squamous cell carcinoma of the head and neck who were treated with concurrent chemoradiotherapy (CCRT) with or without induction chemotherapy (IC) or radical surgery +/- radiotherapy for laryngeal tumors.
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| ID | Term |
|---|---|
| D006258 | Head and Neck Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
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FFPE tissue blocks
PD-L1 will be tested by immunohistochemistry and IFNG/PD-L1 mRNA ratio by qRT-PCR |
| 5 years |
| Provision of genomic markers predicting for immune status classes | Provision of genomic markers (DNA) predicting for immune status classes (RNA) and vice versa in HNSCC | 10 years |
| One step "immuno-genomics test" | Identification of associations between genomic characteristics and immune response-related gene expression, as well as deaminase or other innate mutagen gene expression. Utillization of existing bioinformatics tools. Predictions will be validated for IFNG and PD-L1 expression, different groups of cell mediated cytotoxicity, early and late inflammatory response gene expression, APOBEC and DNA repair gene expression. The aim is to finally produce a simple genomic test (because knowing the genomic status is currently unavoidable) reliably reflecting the status and potential dynamics of the tumor-host microenvironment. | 10 years |
| Reclassification of HNSCC with the "immuno-genomics test" | Molecular classification of HNSCC based on immuno-genomics test | 10 years |
| Publication of the results | Publication of results for further expolitation | 10 years |