Artificial Intelligence Prediction Tool in Non-muscle Invasive Bladder Cancer (NMIBC)

Purpose

This is a multi-center study and the aim is to develop and validate an Artificial Intelligence (AI) -based histologic analysis tool to predict responsiveness to intravesical Bacillus Calmette-Guérin (BCG) and intravesical chemotherapy in intermediate and high-risk non-muscle invasive bladder cancer patients.

Condition

  • Non-muscle-invasive Bladder Cancer

Eligibility

Eligible Ages
Between 18 Years and 99 Years
Eligible Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • Diagnosis of intermediate or high-risk non-muscle invasive bladder cancer as defined by AUA/SUO criteria (Intermediate-risk: recurrence within 1 year low grade Ta, solitary low grade Ta >3 cm, multifocal low grade Ta, high grade Ta ≤3 cm, low grade T1; High risk: high grade T1, recurrent high grade Ta, high grade Ta >3 cm, multifocal high grade Ta, any CIS, any BCG failure in high grade disease, any variant histology, any lymphovascular invasion) following pathologic evaluation of tissue specimens from TURBT. - Intravesical therapy within 6 months from enrollment including patients treated with BCG, mitomycin C, or Gemcitabine/Docetaxel. - English or Spanish speakers - ≥ 18 years of age - Ability to understand and the willingness to provide an informed consent

Exclusion Criteria

  • Inadequate tissue from TURBT - ≥ T2 bladder cancer - Systemic therapy - Inability to read or write English or Spanish - Unwilling to sign written informed consent

Study Design

Phase
Study Type
Observational
Observational Model
Cohort
Time Perspective
Other

Arm Groups

ArmDescriptionAssigned Intervention
HR NMIBC group High Risk (HR) NMIBC group of participants studied include ones with American Urological Association (AUA) / Society of Urologic Oncology (SUO) criteria such as : high grade T1, recurrent high grade Ta, high grade Ta >3 cm, multifocal high grade Ta, any Carcinoma in-situ (CIS), any BCG failure in high grade disease, any variant histology, any lymphovascular invasion. Note: Ta means the cancer is just in the innermost layer of the bladder lining. T1 means the cancer has started to grow into the connective tissue beneath the bladder lining.
IR NMIBC group Intermediate Risk (IR) NMIBC group of participants studied include ones with AUA/SUO criteria such as : recurrence within 1 year low grade Ta, solitary low grade Ta >3 cm, multifocal low grade Ta, high grade Ta ≤3 cm, low grade T1 Note: Ta means the cancer is just in the innermost layer of the bladder lining. T1 means the cancer has started to grow into the connective tissue beneath the bladder lining.

Recruiting Locations

University of Texas Health Science Center at San Antonio
San Antonio 4726206, Texas 4736286 78229
Contact:
Brandi Weaver
210-567-0178
WeaverB@uthscsa.edu

More Details

Status
Recruiting
Sponsor
University of Texas Southwestern Medical Center

Study Contact

Jacob Taylor, MD
214-645-8791
Jacob.Taylor@UTSouthwestern.edu

Detailed Description

Analysis will be performed on the most recent Transurethral resection of bladder tumor (TURBT) histologic specimen obtained prior to BCG induction and on histologic specimens at time of recurrence after BCG induction. This stratification is of potential utility to clinicians for patient counseling purposes, for the identification of patients likely to benefit from induction or re-induction with BCG, and for consideration of alternative treatment strategies including clinical trials, chemotherapy, or cystectomy. Additionally, there is currently no reliable tool for identifying which NMIBC patients are most likely to benefit from adjuvant BCG versus intravesical chemotherapy. This is of current relevance in the management of Intermediate-risk (IR) NMIBC since both BCG and chemotherapy are first-line treatment options and will likely become of increasing relevance in High-risk (HR) NMIBC as efficacious first-line alternatives to intravesical BCG are introduced into clinical practice. In the proposed prospective study, the study team also aims to develop and then validate an AI-based histologic analysis tool for clinicians that is intended to predict recurrence following intravesical chemotherapy in IR and HR NMIBC patients.