This study estimated risks for multiple cancers associated with ATM pathogenic variants independent of family history. These results indicate some common variants may be associated with higher breast cancer risks than previously appreciated and increased screening for prostate and gastric cancer may be warranted for carriers of ATM pathogenic variants.

Genetic testing for inherited cancer risk is now widely used to target individuals for screening and prevention. However, there is limited evidence available to evaluate the clinical utility of various testing strategies, such as single-syndrome, single-cancer, or pan-cancer gene panels. Here we report on the outcomes of testing with a 25-gene pan-cancer panel in a consecutive series of 252,223 individuals between September 2013 and July 2016. The majority of individuals (92.8%) met testing criteria for Hereditary Breast and Ovarian Cancer (HBOC) and/or Lynch syndrome (LS). Overall, 17,340 PVs were identified in 17,000 (6.7%) of the tested individuals. The PV positive rate was 9.8% among individuals with a personal cancer history, compared to 4.7% in unaffected individuals. PVs were most common in BRCA1/2 (42.2%), other breast cancer (BR) genes (32.9%), and the LS genes (13.2%). Half the PVs identified among individuals who met only HBOC testing criteria were in genes other than BRCA1/2. Similarly, half of PVs identified in individuals who met only LS testing criteria were in non-LS genes. These findings suggest that genetic testing with a pan-cancer panel in this cohort provides improved clinical utility over traditional single-gene or single-syndrome testing.

Purpose: Prognostic molecular assays may aid in treatment decisions for women with estrogen receptor (ER)positive, HER2-negative breast cancer. The prognostic value of a 12-gene expression assay (EndoPredict) was reevaluated in the combined ABCSG-6/8 cohorts with longer clinical follow-up. Experimental Design: EndoPredict (EP; molecular score, EPclin score) was evaluated in women with ER-positive, HER2-negative node-positive and node-negative breast cancer who received 5 years of endocrine therapy only (median follow-up, 9.6 years; N ¼ 1,702). Distant recurrence-free rate (DRFR; 95% confidence interval) was assessed 10 and 15 years after diagnosis. Results: Overall, 62.6% of patients had low-risk EPclin scores with significantly improved DRFR relative to high-risk patients (HR, 4.77; 95% CI, 3.37-6.67; P < 0.0001). Ten-year DRFR (0-10 years) was improved among patients with lowrisk versus high-risk EPclin scores in the full cohort [95.5% (94.1%-97.0%) vs. 80.3% (76.9%-83.9%)] as well as for patients with node-negative disease [95.5% (94.0%-97.1%) vs. 87.0% (82.6%-91.7%)] or with 1 to 3 positive nodes [95.6% (92.2%-99.1%) vs. 80.9% (75.9%-86.1%)]. The molecular and EPclin scores were significant predictors of DRFR after adjusting for clinical variables, regardless of nodal status. Similar results were observed for late recurrence (5-15 years; HR, 4.52; 95% CI, 2.65-7.72; P < 0.0001). The EPclin score significantly added prognostic information to a late metastasis nomogram (CTS5 score; P < 0.001). Conclusions: This study demonstrates that EPclin can identify patients at low risk for early or late recurrence who may safely forgo adjuvant chemotherapy or extended endocrine therapy, respectively, regardless of nodal status.

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Background Healthcare providers increasingly use information about pathogenic variants in cancer predisposition genes, including sequence variants and large rearrangements (LRs), in medical management decisions. While sequence variant detection is typically robust, LRs can be difficult to detect and characterize and may be underreported as a cause for hereditary cancer risk. This report describes the outcomes of hereditary cancer genetic testing using a comprehensive strategy that employs next-generation sequencing (NGS) for LR detection, coupled with LR confirmation using repeat hybrid capture NGS, microarray comparative genomic hybridization (microarray-CGH), and/or multiplex ligation-dependent probe amplification (MLPA). Methods Sequencing and LR analysis were conducted in a consecutive series of 376,159 individuals who received clinical testing with a hereditary pan-cancer gene panel from September 2013 through May 2017. NGS dosage analysis was used to evaluate potential deletions or duplications, with controls in place to exclude pseudogene reads. Samples positive for a putative LR based on NGS were confirmed using a comprehensive approach that included targeted microarray-CGH and/or MLPA analysis, with further examination as needed to ascertain the nature of the LR. Results A total of 3461 LRs were identified and classified as a deleterious mutation (DM), suspected deleterious mutation (SDM) or variant of uncertain significance. Pathogenic LRs (DM/SDM) accounted for the majority of LRs (67.7%), the largest proportion of which were deletions (86.1%), followed by duplications (11.3%), insertions (1.8%), triplications (0.5%), and inversions (0.3%). Several cases presented illustrate that the laboratory approach employed here can ensure consistent identification and accurate characterization of LRs. In the absence of this comprehensive testing strategy, 9% of LRs identified in this testing population might have been missed, potentially leading to inappropriate medical management in as many as 210 individuals referred for hereditary cancer testing. Conclusions These data show that copy number analysis using NGS coupled with confirmatory testing reliably detects and characterizes LRs. Further, LRs comprise a substantial proportion (7.2%) of pathogenic variants identified by the test. A robust and accurate LR identification strategy is an essential component of a high-quality genetic testing program, enabling clinicians to optimize patient medical management decisions.