Kim, Yong-Hun

Background: Underrepresented minority (URM) patients enroll in cancer clinical trials at low rates. We studied the perspectives of health care professionals to better understand the challenges and potential facilitators of recruiting URM patients into clinical trials. Methods: A purposeful sampling approach was utilized to recruit health care professionals and clinical research staff who recruited and cared for URM patients in a therapeutic cancer clinical trial at any Mayo Clinic site, from July 2018 through October 2021.Data were gathered using a semistructured qualitative interviews. Participants were interviewed about the challenges of recruiting URM patients into cancer clinical trials and possible strategies for improving URM patient enrollment. Data were analyzed using a thematic analysis. Results: Of the key themes that emerged from participant interviews ( n = 28), perceived barriers to recruiting URM patients into clinical trials included lack of workforce diversity, underutilization of patient navigators, ineffective community outreach and patient recruitment, restricted access to diverse patient populations, and restrictive clinical trial eligibility criteria. Other barriers reported were lack of insurance and access to care and transportation, low socioeconomic status, and mistrust of health care and research. Strategies suggested for improving the recruitment of URM patients into clinical trials included: diversifying and adding research staff, increasing and improving community outreach and advocacy, partnering with clinics closer to patients, increasing monetary and logistical support for patient participation, creating opportunities that build and enhance trust, and systematically examining and modifying clinical trial eligibility criteria. Conclusions: Our findings reveal barriers that have limited URM patient inclusion in cancer clinical trials and highlight strategies to overcoming these barriers.

AbstractBackgroundCutaneous melanoma (CM) is a significant health concern because of its high metastatic potential. Gene Expression Profile (GEP) testing, particularly the 31‐GEP test (DecisionDx‐Melanoma), has been increasingly used for risk stratification in CM patients. This study aimed to evaluate the clinical utility and performance of the 31‐GEP test in a real‐world setting.MethodsPatients with CM who underwent 31‐GEP testing from August 2014 to August 2022 at our institution were identified through searches of electronic health records. The study analyzed the influence of 31‐GEP testing on clinical decision‐making related to sentinel lymph node biopsy (SLNB), medical oncology referral, and postdiagnosis surveillance. Kaplan–Meier curves and Cox proportional hazard models were used to elucidate the test's performance, focusing on relapse‐free survival (RFS) and melanoma‐specific survival (MSS).ResultsThe study included 65 CM patients. Dermatologists ordered more than 80% of 31‐GEP tests. In 81.5% of cases, 31‐GEP results did not alter standard clinical management. SLNB decisions were unaffected in 92% of patients with pre‐SLNB 31‐GEP results. Among patients with stage I‐IIA melanoma, 25% of those with high‐risk 31‐GEP results were referred to medical oncology. Contrary to expectations, the rate of nodal metastasis was higher in low‐risk than in high‐risk 31‐GEP cases. Survival analysis showed overlapping RFS and MSS curves between different 31‐GEP classes, suggesting limited prognostic value.ConclusionsThe 31‐GEP test has a limited impact on clinical management decisions and shows limited prognostic value.

Abstract Background: Much has been published about barriers to research participation for under-represented minority (URM) yet we know little about the experiences, motivations, and decision-making of the URM patients who were successfully treated on clinical trial (CT). The purpose of this study is to draw on the experiences of URM patients as insiders of practical knowledge of CT through photo elicitation to comprehensively understand the current state of recruitment and treatment of URM patients on interventional cancer CTs across the Mayo Clinic enterprise with a short-term goal of informing mechanisms to enrich CT participation and a long-term goal of building a patient-centered cancer practice and clinical trial patient population that is reflective of the diverse communities served by Mayo Clinic. Method: An Appreciative inquiry approach was adapted for this study which acknowledges that existing strengths and everyday experiences of URM patients has the potential to allow a more nuanced view as it pertains to our cancer populations. A total of 138 URM were invited to participate. Using photo elicitation technique, patients were asked to take photographs to portray factors that motivated them and/or facilitated their enrollment, barriers to enrollment and recommendations to improve the process for CT recruitment for other URM. Participant-generated photographs (59) and accompanying 13 interview narratives were analyzed using layered analysis. Results: A total of 13 patients (female =9) participated in the photo interviews. URM detailed their overall experiences around CT participation, motivations for participating in clinical trials; facilitators to clinical trial participation; and opportunities and considerations for increasing minority patients CT participation. Photo analyses provided symbolic representation of patients’ general experiences around CT including celebrating their “new identity”, finding peace in moments of nostalgia, their journey through the trial, lost times and finances and yet finding a new purpose to live through CT participation. Importantly patients described decision making in CT participation as a relational approach. Patients suggested opportunities and considerations for increasing minority patients trial participation, which included minimizing logistical barriers, decentralizing cancer clinical trials, increasing awareness via patient narratives, diversifying research staff, minimizing cost, and being clear on purpose and benefit of the trial. Conclusion: Our study highlights the potential to utilize visual data and narratives from URM in CT recruitment and education programming. It provided valuable insights from the URM community for the URM community on key issues on motivations of CT participation and decision-making in CT participation. Citation Format: Gladys B. Asiedu, Rahma Warsame, Mary O’Shea, Yong-hun Kim, Sara A. Ellingson, Katharine A. Price. Trial participation in pictures: Using photo elicitation to explore minority patients’ experiences on therapeutic cancer clinical trials [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr A076.

Abstract Evaluation of basal cell carcinoma (BCC) involves tangential biopsies of a suspicious lesion that is sent for frozen sections and evaluated by a Mohs micrographic surgeon. Advances in artificial intelligence (AI) have made possible the development of sophisticated clinical decision support systems to provide real-time feedback to clinicians that could have a role in optimizing the diagnostic workup of BCC. There were 287 annotated whole-slide images of frozen sections from tangential biopsies, of which 121 contained BCC, that were used to train and test an AI pipeline to recognize BCC. Regions of interest were annotated by a senior dermatology resident, an experienced dermatopathologist and an experienced Mohs surgeon, with concordance of annotations noted on final review. Final performance metrics included a sensitivity and specificity of 0.73 and 0.88, respectively. Our results on a relatively small dataset suggest the feasibility of developing an AI system to aid in the workup and management of BCC.