Ekpoh, Idara U.

Abstract Rationale Idiopathic Pulmonary Fibrosis (IPF) is characterized by chronic progressive pulmonary fibrosis and high mortality. Genetic markers, summarized into a polygenic risk score (PRS), associate with IPF in well-phenotyped research cohorts. Objectives To evaluate the performance of the PRS using real-world data from routinely captured electronic healthcare records. Methods We conducted an observational study evaluating the association of a PRS for IPF with electronic healthcare record diagnosis of IPF as well as lung transplant-free survival in four independent cohorts; the Mass General Brigham Biobank (MGBB), Mayo Clinic Biobank (MCBB), Mayo Clinic Tapestry Cohort (Tapestry), and U.K. Biobank (UKBB). We used multivariable logistic regression and multivariable Cox proportional hazards models adjusting for age, gender, and principal components of ancestry. The cohorts then underwent fixed and random effects meta-analysis. Measurements and Main Results Of 37,709; 44,195; 43,202; and 447,422 participants from MGBB, MCBB, Tapestry and UKBB respectively, 1,015 (2.7%) 2,879 (6.5%), 1,310 (3.0%), and 2,742 (0.6%) participants had an IPF diagnosis. Meta-analysis demonstrated a high-risk PRS associated with IPF diagnosis, OR 2.88 (95%CI 2.41-3.44) compared to all other individuals. A high-risk PRS also associated with the composite endpoint of mortality or lung transplant among those with an IPF diagnosis, HR 1.23(95%CI 1.11-1.35) compared to all other individuals. Conclusions A PRS can identify those at risk for an IPF diagnosis and mortality in biobank-scale data, which may have implications for clinical decisions. Further work is necessary to evaluate the utility of adding genetics in clinical settings.

817 Background: Universal germline sequencing is increasingly utilized in practice, but existing evidence and guidelines are based on studies in predominantly white populations. This study aims to compare the prevalence of genetic alterations in white vs underrepresented minority (URM) populations and assess incremental findings discovered with universal testing beyond current guidelines. Methods: This prospective, multicenter study analyzed genetic alterations in white and URM cohorts with primary GI malignancies receiving care at Mayo Clinic cancer centers between April 2018 and April 2025. Patients underwent germline sequencing using a next-generation sequencing (NGS) platform targeting over 80 genes. We compared the distribution of results between white and URM populations. Concordance with NCCN testing guidelines and incremental findings were assessed. Results: A total of 1128 patients were studied, of which 758 were white and 370 were URM, (47.6% Hispanic, 22.7% Black, 13.8% Asian, 10.5% American Indian, 0.8% Pacific Islander, and 6.8% other). Pathogenic variants (PGV) were more common in the white population (16.1% vs 9.2% P < 0.001). Variants of uncertain significance (VUS) were more common in the URM population (53.2 vs 43.5%, P<0.001). A total of 156 patients were found to have a PGV. PGVs outside primary cancer genes were more common in white patients (57.4% vs. 32.4%; p=0.0241). Incremental findings from universal testing were higher in white patients (66.4% vs 35.3%; p=0.0011). Conclusions: This study reveals a significant difference in the prevalence of PGV and VUS between white and URM patients with primary GI malignancies. The higher rate of PGVs in white patients and VUS in URM patients highlights potential inequities in both detection and interpretation of genetic results. These findings emphasize the need for broader representation in genetic databases to ensure equitable access to precision oncology. Screening guidelines met by patients with PGV. White (N=122) URM (N=34) Total (N=156) p value Did they meet NCCN testing guidelines for their primary cancer? 0.0991 Yes 87 (71.3%) 29 (85.3%) 116 (74.4%) No 35 (28.7%) 5 (14.7%) 40 (25.6%) Was the PGV outside of the primary genes recommended for their primary cancer? 0.0241 Yes 70 (57.4%) 11 (32.4%) 81 (51.9%) No 47 (38.5%) 22 (64.7%) 69 (44.2%) Incremental Finding 0.0011 Yes 81 (66.4%) 12 (35.3%) 93 (59.6%) No 41 (33.6%) 22 (64.7%) 63 (40.4%)

e22537 Background: Germline and tumor next-generation sequencing (NGS) are complementary tests whose benefit in capturing patients (pts) potentially eligible for precision therapies is maximized when the tests are paired, as qualifying pathogenic variants (PVs) are missed if either test was done in isolation (Lincoln et al. 2020). Germline NGS has the additional benefit of informing prevention through surveillance and cascade testing. We highlight the benefits of a universal approach to concurrent testing in a subset of the previously reported cohort of pan-cancer pts who underwent universal germline NGS (Samadder et al. 2020). Methods: Unselected pts with solid tumors underwent an 80+ gene germline panel and 315+ gene tumor panel. Variants in genes unique to the germline or tumor panels, including microsatellite instability (MSI) and tumor mutation burden (TMB), were also evaluated. Results: 104 pts [81.7% White, non-Hispanic, 71.2% male] with 23 cancer types [28% colorectal, 13% lung, 11% prostate, 49% other] were included. Five (5%) pts had no actionable tumor alterations or germline variants identified (Table). 18 pts (17%) had 19 pathogenic germline variants (PGVs) identified, 11 (58%) of which were detected on tumor NGS (Table). 92 pts had >1 tumor alteration identified, of which 12% were confirmed as PGVs (Table). Notably, tumor NGS revealed 81 pts (78%) pts with biomarkers that would could not have been identified with germline testing alone, such as variants in genes not on germline panel (80) or MSI-high (4), or TMB-high (21) status of the tumor. Conclusions: Germline and tumor NGS are complementary tests that often detect different actionable alterations. There is value in confirming both the presence and absence of somatic variants in the germline in order to make appropriate clinical recommendations for the patient and their family members. [Table: see text]

Abstract Hereditary factors play a role in the development of several cancers. Identification of germline predisposition can have implications for treatment and cancer prevention. While previous studies have found that universal multigene panel testing in patients with cancer yields increased detection of actionable heritable variants compared to targeted testing, patients belonging to racial and ethnic minority groups have been underrepresented in these studies. We undertook a prospective multi-site study of germline alternations among solid tumor cancer patients from under-represented minority (URM) populations receiving care at Mayo Clinic Comprehensive Cancer Centers between January 2020 and November 2022. Patients with a new or active cancer diagnosis (all stages) not selected for family history of cancer were tested with a &gt;80-gene next generation sequencing panel. Of 532 patients (mean [SD] age, 57.2 [12.7] years; 320 (60.2%) female), 247 (46.4%) were Hispanic/Latino, 130 (24.4%) Black/African American, 80 (15.0%) Asian, 66 (12.4%) American Indian/Alaskan Native, 2 (0.4%) Native Hawaiian/Pacific Islander, and 7 (1.3%) other. PGV were found in 43 patients (8.1%), including 29 moderate- or high- penetrance cancer susceptibility genes. Variants of uncertain significance (VUS) were found in 272 patients (51.1%). Of those with a PGV, 29 (67.4%) had incremental clinically actionable findings that would not have been detected by established testing criteria, of which 16 were moderate- or high-penetrance variants. Younger age of diagnosis, gender, race, ethnicity, and stage of disease were not predictive of PGV. In this study of under-represented minority cancer patients, universal genetic testing found that 1 in 12 patients harbor a PGV, more than two-thirds of whom would remain undetected using current guidelines. The paucity of genomic data in URM populations also results in a large proportion of VUS which may lead to under-estimation of disease associated variants. Table 1. Clinical and Demographic Characteristics of Included Patients Positive Negative VUS Total N (%) 43 217 272 532 (8.1%) (40.8%) (51.1%) Age - mean (SD) 53.7 57.0 57.8 57.2 (12.7) (12.6) (12.8) (12.7) Gender - Female 26 132 162 320 (60.5%) (60.8%) (59.6%) (60.2%) Race/Ethnicity Hispanic/Latino 24 110 113 247 (55.8%) (50.7%) (41.5%) (46.4%) Black/African 5 56 69 130 American (11.6%) (25.8%) (25.4%) (24.4%) Asian 10 (23.3%) 23 (10.6%) 47 (17.3%) 80 (15.0%) American Indian/Alaskan Native 4 (9.3%) 26 (12.0%) 36 (13.2%) 66 (12.4%) Native Hawaiian/Pacific Islander 0 (0.0%) 0 (0.0%) 2 (0.7%) 2 (0.4%) Other 0 (0.0%) 2 (0.9%) 5 (1.8%) 7 (1.3%) Tumor Types Breast 19 (44.2%) 80 (36.9%) 110 (40.4%) 209 (39.3%) CNS 1 (2.3%) 2 (0.9%) 1 (0.4%) 4 (0.8%) GI 7 (16.3%) 46 (21.2%) 58 (21.3%) 111 (20.9%) GU 8 (18.6%) 57 (26.3%) 62 (22.8%) 127 (23.9%) GYN 0 (0.0%) 8 (3.7%) 10 (3.7%) 18 (3.4%) Head/Neck 5 (11.6%) 8 (3.7%) 6 (2.2%) 19 (3.6%) Lung 0 (0.0%) 6 (2.8%) 11 (4.0%) 17 (3.2%) Melanoma 0 (0.0%) 2 (0.9%) 1 (0.4%) 3 (0.6%) Sarcoma 2 (4.7%) 4 (1.8%) 4 (1.5%) 10 (1.9%) Other 1 (2.3%) 4 (1.8%) 9 (3.3%) 14 (2.6%) Citation Format: Kevork A. Khadarian, Sailaja Pisipati, Jeremy C. Jones, Gerardo Colon-Otero, Donald W. Northfelt, Lindsey Gary, Idara U. Ekpoh, Giovanna G. Moreno, Edward D. Esplin, Robert Nussbaum, Brandie Heald, Margaret A. Klint, Kathleen A. Barrus, Tanios S. Bekaii-Saab, Aleksandar Sekulic, Michael A. Golafshar, Katie L. Kunze, Cheryl L. Willman, Konstantinos N. Lazaridis, Niloy Jewel Samadder. Universal genetic testing for hereditary cancer syndromes in an under-represented minority population [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1921.

Abstract Background In the United States, rare disease (RD) is defined as a condition that affects fewer than 200,000 individuals. Collectively, RD affects an estimated 30 million Americans. A significant portion of RD has an underlying genetic cause; however, this may go undiagnosed. To better serve these patients, the Mayo Clinic Program for Rare and Undiagnosed Diseases (PRaUD) was created under the auspices of the Center for Individualized Medicine (CIM) aiming to integrate genomics into subspecialty practice including targeted genetic testing, research, and education. Methods Patients were identified by subspecialty healthcare providers from 11 clinical divisions/departments. Targeted multi-gene panels or custom exome/genome-based panels were utilized. To support the goals of PRaUD, a new clinical service model, the Genetic Testing and Counseling (GTAC) unit, was established to improve access and increase efficiency for genetic test facilitation. The GTAC unit includes genetic counselors, genetic counseling assistants, genetic nurses, and a medical geneticist. Patients receive abbreviated point-of-care genetic counseling and testing through a partnership with subspecialty providers. Results Implementation of PRaUD began in 2018 and GTAC unit launched in 2020 to support program expansion. Currently, 29 RD clinical indications are included in 11 specialty divisions/departments with over 142 referring providers. To date, 1,152 patients have been evaluated with an overall solve rate of 14.1% and as high as 66.7% depending on the phenotype. Noteworthy, 42.7% of the solved or likely solved patients underwent changes in medical management and outcome based on genetic test results. Conclusion Implementation of PRaUD and GTAC have enabled subspecialty practices advance expertise in RD where genetic counselors have not historically been embedded in practice. Democratizing access to genetic testing and counseling can broaden the reach of patients with RD and increase the diagnostic yield of such indications leading to better medical management as well as expanding research opportunities.