Head and Neck Cancer Clinical Trial
Official title:
Role of Human Microbiome in Head and Neck Cancer
This study aims to determine whether dysbiosis actively contributes to HNSCC and if so, the underlying molecular mechanisms.
Status | Recruiting |
Enrollment | 60 |
Est. completion date | January 2030 |
Est. primary completion date | January 2028 |
Accepts healthy volunteers | |
Gender | All |
Age group | 18 Years to 100 Years |
Eligibility | Inclusion Criteria: 1. Subjects equal to or above the age of 18. 2. Patients who are seen and evaluated by a provider within the adult Otolaryngology clinic at the University of Colorado Health. 3. Patients that present with a diagnosis of OSCC. 4. An equal number of age-matched patients who are visiting the clinic for reasons other than OSCC diagnoses, as the control group. 5. Ability to understand and willingness to sign a written informed consent document Exclusion Criteria: 1. Subjects under the age of 18 or over the age of 100 2. Subjects unwilling to particiapte |
Country | Name | City | State |
---|---|---|---|
United States | University of Colorado Cancer Center | Aurora | Colorado |
Lead Sponsor | Collaborator |
---|---|
University of Colorado, Denver | National Cancer Institute (NCI) |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Characterize human dysbiosis | Stool and saliva samples will be collected from participants, allowing us to reproduce human dysbiosis and analyze whether HNSCC affects one's microbiome composition. Metagenomic sequencing will be conducted through use of DNA extraction, library generation and Illumina sequencing. At least 30 million paired-end 2x150bp metagenomic reads will be generated per sample using the Illumina NovaSeq platform. | Day 1 | |
Primary | Characterize human metabolomics | Through our stool and saliva samples we will be able to characterize metagenomic and metabolic signatures in treatment naïve OSCC and non-OSCC patients. Metabolic analysis will be conducted using LC/MS-based metabolic analysis. A targeted approach will quantify a panel of 30 componds including Trp pathway products, while a non-targeted approach, when applied to both lipid and aqueous phase compounds, will profile relative changes in compounds that may influence host and metabolic and immune statuses. | Day 1 | |
Primary | Integrative multi-omic data analysis and biomarker discovery | We expect to find that specific sets of microbial and host factors interact with each other to promote OSCC. | Day 365 | |
Secondary | Impact of human dysbiosis on OSCC development in mice | Freshly collected saliva and stool samples from 10 subjects of each treatment category will be used to reconstitute microbiota. | Day 10-Day 100 | |
Secondary | Monitor tumor size | Tumor size (both weight and size) will be monitored using Bli-imaging. These measures will be assessed between treatment groups by ANOVA or analysis of variance testing. | Day 10-Day 100 |
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