Vulvar Dysplasia Clinical Trial
— TTMV HPV DNAOfficial title:
Circulating Cell-Free Tumor Tissue Modified Viral (TTMV)-HPV DNA As A Biomarker For Early Cancer Detection Among Human Subjects With HPV-Induced Dysplasia In Female Genital [Uterine Cervix, Vaginal and Vulvar] Organs: A Clinical, Translational and Biomarker-Based Cancer Screening Study
Uterine cervical dysplasia and other female genital dysplasia continue to be significant health problems despite Cervical Screening Programs and HPV vaccinations being available. These female genital dysplasia [FGD] induced by HPV infections affect disadvantaged women in the US and globally more than others: minorities like African Americans [AA], rural populations, lower socioeconomic strata of the society and less educated in the US and lower / middle income countries. The reasons are: lack of access to screening and vaccines, lack of infrastructure, fear and shame of getting a pelvic examination and pap's smear and inability to go to the health centers that provide these cares. A simple blood test that can diagnose FGD can help make many of those hurdles go away. This proposal is to utilize the emergence of 'liquid biopsy' concepts using genomic/precision medicine advances of the past decade to have such a blood test to be made available. Collaborating with Naveris, Inc,® the clinical study will use their NavDx® blood test. This is a test for circulating cell-free tumor tissue modified viral (TTMV®)-HPV DNA. TTMV-HPV DNA is a clinically proven and analytically validated highly sensitive and specific biomarker for the identification of post-treatment recurrent and residual Human Papillomavirus (HPV)-driven squamous cell oropharyngeal carcinoma (OPSCC)1,2. Data is accruing for other major HPV-driven cancers including anal cancer and uterine cervical cancer with clinical utility appear similarly promising3. TTMV-HPV DNA is a distinct biomarker for HPV-driven malignancy and can distinguish between HPV-driven malignancy and acute and or chronic HPV infection. In this study, taking advantage of a robust Cervical Dysplasia Clinic in existence at UMMC and a team of multidisciplinary experts focused on this project, the blood levels of TTMV-HPV DNA will be determined through a fully informed IRB approved clinical trial process to correlate with the grades of dysplasia, any increasing values correlating with worsening grade/malignant transformation and other variables. This pilot study is the first of this type of biomarker-based 'screening' study, and if successful, will lead to a more efficient and convenient way to diagnose HPV-induced that will be cost effective and will need minimal infrastructure. Such a test will make remarkable beneficial differences in early diagnosis, early screening compliance, early interventions as well as improving outcomes in FGD patients worldwide. With the available infrastructure and expert team, this project can be successfully completed in a relatively short time.
Status | Not yet recruiting |
Enrollment | 500 |
Est. completion date | December 2023 |
Est. primary completion date | December 2023 |
Accepts healthy volunteers | No |
Gender | Female |
Age group | 18 Years to 100 Years |
Eligibility | Inclusion Criteria: - Adult women with female genital dysplasia - Non pregnant women - No prisoners - age in between 18 years and 100 years - Competent to give informed consent Exclusion Criteria: - Pregnant women - Female below 18 years - Prisoners |
Country | Name | City | State |
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n/a |
Lead Sponsor | Collaborator |
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University of Mississippi Medical Center |
Type | Measure | Description | Time frame | Safety issue |
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Primary | CORRELATION BETWEEN BLOOD BASED 'LIQUID BIOPSY' BIOMARKER TO TISSUE DIAGNOSIS | Correlate the detectable levels of TTMV-HPV-DNA with demographics, grades of dysplasia, progression in the grades with serial measurements and HIV status and correlate with biopsy results in terms of progression in PIN grades and malignant transformation.
Given the pilot nature of the proposed study, extensive use of exploratory data analysis will be done. For any analysis of time-to-event data,Kaplan-Meier analyses paired with two-sided log-rank tests will be used. For any necessary modeling, a generalized linear model framework will be employed with appropriate family and link functions, depending on the outcome. Should independence fail between the sampling units (repeated measures, etc.), this will be extended to generalized linear mixed models with random intercepts. All linearity assumptions will be checked and modifications to modeling strategies will be undertaken where necessary." |
1 year |
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