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The goal of this project is to characterise the heterogeneity of all cell populations (tumour cells, stromal and immune microenvironment) present in the tumor and their normal (and leucoplasic) counterparts by scRNAseq in OSCC patients.
Epidermoid carcinomas of upper aerodigestive tract are the 8th most common cancers in the world. Worldwide, this represents more than 500.000 cases per year and 20.000 cases per year in France (statistics 2018-2020). Among these cancers, oral squamous cell carcinoma (OSCC) are the most common location, leading to significant morbidity and mortality.
OSCC treatment is based on surgery and/or radiotherapy and/or chemotherapy. Immune Check point Inhibitors (ICIs) targeting PD-1 have been approved for recurrent and metastasic OSCC. However, only 15-20% of these patients are treated thanks to this anti-PD-1. Thus, there is a real need to improve the efficacy of ICIs in the treatment of HNSCC. The scRNAseq is a method which allows to study the tumoral heterogeneity, the microenvironment and the dynamic and regulation mecanisms in cells cancer. This technology could improve patient stratification, identify pronostic biomarkers, constitute an important tool in the therapeutical take care and lead to understand tumoral evolution and develop new prevention strategies.
The aim of the study is to characterise the heterogeneity of all cell populations (tumour cells, stromal and immune microenvironment) present in the tumor and their normal (and leucoplasic) counterparts by scRNAseq in OSCC patients.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Clinical-biological cohort | Other | A clinical-biological cohort of 50 patients with OSCC. Blood sample and biospecimen at the time of a standard surgery. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Biospecimen | Procedure |
The biospecimens will be collected at the time of the surgery organised for the standard routine medical care. |
| Measure | Description | Time Frame |
|---|---|---|
| Characterization of the heterogeneity of all cell populations (tumour cells, stromal and immune microenvironment) present in the tumor and their normal (and leucoplasic) counterparts by scRNAseq in OSCC patients. | Transcriptomic data from scRNAseq for all cell populations | 3 years |
| Measure | Description | Time Frame |
|---|---|---|
| Description of the functional interactions among tumor, stromal, and immune subpopulations identified by scRNAseq | Describe the functional interactions between tumor, stromal, and immune subpopulations using ex vivo culture models and co-culture assays. Cellular responses will be assessed using transcriptomic analysis and phenotypic characterization. | 3 years |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Philippe Zrounba, M.D. | Contact | (0)4 69 85 60 82 | +33 | philippe.zrounba@lyon.unicancer.fr |
| Karène Mahtouk, Ph.D. | Contact | 04 69 85 60 82 | +33 | karene.mahtouk@lyon.unicancer.fr |
| Name | Affiliation | Role |
|---|---|---|
| Philippe Zrounba, M.D. | philippe.zrounba@lyon.unicancer.fr | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Centre Léon Bérard | Lyon | 69008 | France |
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| ID | Term |
|---|---|
| D000077195 | Squamous Cell Carcinoma of Head and Neck |
| ID | Term |
|---|---|
| D002294 | Carcinoma, Squamous Cell |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
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| ID | Term |
|---|---|
| D001800 | Blood Specimen Collection |
| ID | Term |
|---|---|
| D013048 | Specimen Handling |
| D019411 | Clinical Laboratory Techniques |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
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A clinical-biological cohort of patients with OSCC.
Samples:
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| Blood sampling | Procedure | Blood sampling (6 mL), taken from a routine biological exam. |
|
| Correlation between refined patient stratification (based on tumor, stromal and immune sub-population) and the impact on the response to ex-vivo treatments. | Correlation between tumor, stromal and immune sub-populations likely to refine patient stratification and the impact on the response to ex-vivo treatments. | 3 years |
| Identification of prognostic and predictive biomarkers for oral squamous cell carcinoma evolution | Correlation of gene expression profiles with disease progression to identify prognostic and predictive biomarkers in scRNAseq and bulk RNAseq datasets | 3 years |
| D009369 | Neoplasms |
| D006258 | Head and Neck Neoplasms |
| D009371 | Neoplasms by Site |
| D011677 | Punctures |
| D013514 | Surgical Procedures, Operative |
| D008919 | Investigative Techniques |