Truty, Rebecca

AbstractThis study assessed the effectiveness of genetic testing in shortening the time to diagnosis of late infantile neuronal ceroid lipofuscinosis type 2 (CLN2) disease. Individuals who received epilepsy gene panel testing through Behind the Seizure®, a sponsored genetic testing program (Cohort A), were compared to children outside of the sponsored testing program during the same period (Cohort B). Two cohorts were analyzed: children aged ≥24 to ≤60 months with unprovoked seizure onset at ≥24 months between December 2016 and January 2020 (Cohort 1) and children aged 0 to ≤60 months at time of testing with unprovoked seizure onset at any age between February 2019 and January 2020 (Cohort 2). The diagnostic yield in Cohort 1A (n = 1814) was 8.4% (n = 153). The TPP1 diagnostic yield within Cohort 1A was 2.9‐fold higher compared to Cohort 1B (1.0%, n = 18/1814 vs. .35%, n = 8/2303; p = .0157). The average time from first symptom to CLN2 disease diagnosis was significantly shorter than previously reported (9.8 vs. 22.7 months, p < .001). These findings indicate that facilitated access to early epilepsy gene panel testing helps to increase diagnostic yield for CLN2 disease and shortens the time to diagnosis, enabling earlier intervention.

e16783 Background: PARP inhibitor (PARPi) treatment was recently approved for pancreatic cancer (PaCa) patients with germline mutations in 2 DNA damage repair (DDR) genes. Despite criteria recommending germline multigene panel testing for all PaCa patients, barriers to testing remain, including among underserved populations, which limit access to precision therapies. We initiated a sponsored testing program that increases access to germline genetic testing for PaCa in two ways: 1) offering a comprehensive multigene panel, and 2) removing the barrier of cost. Here we present initial results from this program, including the diagnostic yield in patients across stages of PaCa and clinical utility of the findings. Methods: We retrospectively analyzed de-identified data from 966 PaCa patients tested on an 84 gene panel as part of the program to date. The only inclusion criterion was a willingness to participate in the sponsored program by the patient and the provider who ordered the testing. Data included likely pathogenic (LP) and pathogenic (P) mutations, disease stage and ethnicity. Results: In total, 166 (17%) patients were positive for P/LP germline mutations in 30 genes. Mutation rate by ethnicity was: Caucasian 17%, African American 12%, Hispanic 16%, Ashkenazi Jewish 20%, Asian 3%. Only 25% of patients with P/LP variants reported a family history of cancer. There was no statistical difference in mutation rates by stage (p = 0.11) [Table]. In positive patients, 83 (78%) had mutations conferring potential eligibility for DDR gene-specific precision therapies or clinical treatment trials. 28 (26%) were potentially eligible for olaparib due to BRCA1/2 mutations, 8 (7%) were potentially eligible for pembrolizumab, and 47 (44%) for PARPi clinical trials. Conclusions: This study found 8.5% of all PaCa patients tested are potentially eligible for germline-based precision therapies and/or clinical treatment trials. Of mutation positive patients, 75% did not report a family history of cancer. The positive rate was not statistically different between patients with stage I and stage IV PaCa, underscoring the recommendation to test all patients with PaCa. This program had a 1.5% increased relative uptake among African American patients compared to a standard insurance reimbursement delivery model. These data suggest reducing barriers improves PaCa patient access to genetic information that enables precision therapy. [Table: see text]

Abstract Background: Established laboratory methods, including next-generation sequencing (NGS), can accurately and inexpensively detect certain classes of clinically important mutations in readily accessible protein coding regions of a patient's DNA. These events include single nucleotide variants (SNVs), small insertions/deletions (indels), and sometimes medium sized copy-number deletions or duplications (del/dups). However, other mutation types with clinical relevance are known, and indeed data on over 80,000 patients show that pathogenic, medically important variants of other, more technically challenging types are prevalent in genes related to hereditary breast and ovarian cancer (see associated abstract by Lincoln et al.). We sought to develop and evaluate a reference standard by which laboratories may be able to assess and improve their performance on representative examples of complex, technically “hard” mutations in medically important genes associated with breast, ovarian, and other cancers. Methods: We selected a diverse set of 23 challenging alterations, uncovered by the aforementioned clinical study, all of which are considered pathogenic and potentially actionable under ACMG and NCCN guidelines when uncovered in the germline DNA of a patient. These mutations are in the BRCA1, BRCA2, MLH1, MSH2, MSH6, and PMS2 genes. We generated a single synthetic DNA specimen with all 23 mutations introduced into a known genomic background. Following presentation of this general strategy at a 2016 meeting, 7 laboratories volunteered to collaboratively evaluate this approach. This DNA was created, validated, blinded and provided to these laboratories who sequenced it using a total of 9 different NGS based workflows, including 5 validated clinical tests with customized methods and two sequencing technology vendor (Illumina, Ion Torrent) default pipelines. Multiple target capture biochemical methods were used, as was whole genome sequencing. Results: Twelve of the 23 variants were detected by all 9 laboratory workflows, but just 2 workflows detected all 23. Many, but not all, of these test limitations were previously known. Importantly, evidence of each variant was present in the raw data, suggesting that this strategy is compatible with the diverse biochemical methods used in NGS laboratories today. Raw data for the synthetic variants mimicked that of the endogenous ones (including presenting similar technical artifacts which make these variants “hard”) demonstrating that controls such as these may be useful in the development of methods with improved sensitivity. The vendor-supplied bioinformatics pipelines fared the worst, reinforcing the importance of carefully selecting bioinformatics algorithms and parameters in any laboratory developed test. Discussion: Medically important but technically challenging mutations are prevalent in genes involved in hereditary breast, ovarian, and other cancers. Although patient specimens are also critical, synthetic controls may help efficiently assess the analytic range of any clinical test, highlighting certain strengths and limitations, and can help laboratories develop new methods to improve sensitivity for these challenging variants. Citation Format: Lincoln S, Zook J, Truty R, Chowdhury S, Fellowes A, Mahamdallie S, Ferber M, Cleveland M, Huang C, Tomson F, Klee E, DeSilva W, Seal S, Aradhya S, Nussbaum R, Garlick R, Kingsmore S, Rahman N, Salit M, Shirts B. An interlaboratory study of complex mutation detection in genes associated with hereditary breast and ovarian cancer highlights both successes and current challenges [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P4-06-08.