Modeling Study to Predict Progression of Anal Cancer Pre-cursor Lesions in HIV
Predictive Modeling of Anal Dysplasia Progression in HIV
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Persons living with HIV-infection are at greatly increased risk for anal carcinoma and anal intraepithelial neoplasia (AIN). Despite the overall improvement in HIV outcomes, the incidence of anal carcinoma has not decreased with the advent of highly active antiretroviral ther-apy. Further, there is substantial morbidity and mortality associated with anal carcinoma in HIV-infected individuals. For these reasons, it is critically important to develop effective screening and treatment strategies in this population. Anal carcinoma is similar to cervical carcinoma in that they are both associated with infection with human papillomavirus (HPV) and share similar cytologic features of dysplasia. Anal cytology screening is ultimately expected to reduce the incidence of anal carcinoma similar to that seen with cervical cancer after the introduction of cervical Pap screening. Given the high frequency of abnormal cytology in patients with HIV and the need to confirm results by high-resolution anoscopy, however, the implementation of screening programs requires a substantial commitment of clinical resources. The workload and costs involved in following up on abnormal cytology reduce the cost-effectiveness of screening and pose a significant barrier to its widespread integration into routine HIV care. A model for predicting which patients are at greatest risk for progressive of anal dysplasia is needed in order to decrease the need for excessive confirmatory procedures in this population. Without such a model, anal carcinoma screening may remain cost prohibitive for many HIV clinics.
The objective of this study is to develop a predictive model to identify patients who are at greatest risk for progression of anal intraepithelial neoplastic changes. The central hypotheses are: 1) that progression of early HPV-related anal dysplasia is associated with environmental, virological, and host molecular factors and 2) that it is possible to develop a predictive statistical model with a high sensitivity and specificity for predicting disease progression. These hypotheses have been formulated on the basis of strong evidence from studies of HPV-related cervical dysplasia that smoking, HPV E2 expression, HPV E6/E7 protein expression, high-risk HPV type, HPV viral load, p16 expression, p53 expression and Ki67 expression are associated with progressive cervical dysplasia. The rationale for the proposed research is that development of a predictive model will allow clinicians to design more cost-effective screening and follow-up strategies which focus resources on intensively testing only those patients with a significant risk for progression. Further, the models developed will allow clinicians to identify a population of patients who may benefit from early treatment interventions. Finally, information learned from this research may provide information applicable to other HPV-related cancers.
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Jaime C Robertson, MD
- Phone Number: (513) 584-5827
- Email: roberj5@ucmail.uc.edu
Study Contact Backup
- Name: Eva Moore, RN
- Phone Number: (513) 584-4819
- Email: mooreev@ucmail.uc.edu
Study Locations
-
-
Ohio
-
Cincinnati, Ohio, United States, 45267
- Recruiting
- University of Cincinnati
-
Contact:
- Eva Moore, RN
- Phone Number: (513) 584-4819
- Email: mooreev@ucmail.uc.edu
-
Contact:
- Jaime C Robertson, MD
- Phone Number: 513-584-5827
- Email: roberj5@ucmail.uc.edu
-
Principal Investigator:
- Jaime C Robertson, MD
-
Cincinnati, Ohio, United States, 45225
- Recruiting
- Cincinnati VA Medical Center
-
Contact:
- George Smulian, MD
- Phone Number: 4425 513-861-3100
- Email: smuliang@fuse.net
-
Contact:
- Diana Moore, ARNP
- Phone Number: (513) 475-6599
- Email: Diana.Moore2@va.gov
-
Sub-Investigator:
- George Smulian, MD
-
Sub-Investigator:
- Stephen Kralovic, MD
-
Sub-Investigator:
- Diana Moore, ARNP
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- HIV-infected
- Age > 18 years old
- Abnormal anal screening cytology
Exclusion Criteria:
- Inability to sign informed consent
- Life-threatening illness or other contraindication for high-resolution anoscopy
- anal intraepithelial neoplasia not confirmed by anal biopsy
- history of anal carcinoma
- history of HPV vaccination
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
histological diagnosis of high-grade squamous intra-epithelial lesion confirmed by anal biopsy
Time Frame: 12 months, 24 months, 36 months
|
12 months, 24 months, 36 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Regression of lesions defined by normal appearance on anoscopy and normal histology on anal biopsy following previous diagnosis of squamous intraepithelial lesion.
Time Frame: 12 months, 24 months, 36 months
|
12 months, 24 months, 36 months
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Jaime C Robertson, MD, University of Cincinnati
Publications and helpful links
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (ANTICIPATED)
Primary Completion
Study Completion (ANTICIPATED)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ESTIMATE)
First Posted
Study Record Updates
Last Update Posted (ESTIMATE)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 1K23AI080202-01 (NIH)
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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