Danielle K. Manning's research while affiliated with Brigham and Women's Hospital and other places

Simple Summary The standard interpretation methods of germline variants in cancer are limited due to overlapping features in constitutional and sporadically derived forms of cancers and the unavailability of key differentiating details in public settings. To address this challenge, we established INT²GRATE (INTegrated INTerpretation of GeRmline And Tumor gEnomes), a multi-institution oncology consortium to advance the integrated application of constitutional and tumor data and share the integrated variant data in a publicly accessible knowledgebase. The aim of our study is to introduce INT²GRATE|HPPGL, a platform for the integrated interpretation of hereditary paraganglioma–pheochromocytoma syndromes (HPPGL). We describe the details of the INT²GRATE|HPPGL Variant Evidence Framework for succinate dehydrogenase (SDHx) genes using key HPPGL personal and family history, as well as tumor-derived evidence. We applied the INT²GRATE|HPPGL Variant Evidence Framework to 8600 variants to programmatically process and share the integrated variant data in ClinVar using a custom-made INT²GRATE variant submission pipeline. This novel integrated variant assessment and data sharing in hereditary cancers is essential to help improve the clinical interpretation of genomic variants and advance precision oncology. Abstract Standard methods of variant assessment in hereditary cancer susceptibility genes are limited by the lack of availability of key supporting evidence. In cancer, information derived from tumors can serve as a useful source in delineating the tumor behavior and the role of germline variants in tumor progression. We have previously demonstrated the value of integrating tumor and germline findings to comprehensively assess germline variants in hereditary cancer syndromes. Building on this work, herein, we present the development and application of the INT²GRATE|HPPGL platform. INT²GRATE (INTegrated INTerpretation of GeRmline And Tumor gEnomes) is a multi-institution oncology consortium that aims to advance the integrated application of constitutional and tumor data and share the integrated variant information in publicly accessible repositories. The INT²GRATE|HPPGL platform enables automated parsing and integrated assessment of germline, tumor, and genetic findings in hereditary paraganglioma–pheochromocytoma syndromes (HPPGLs). Using INT²GRATE|HPPGL, we analyzed 8600 variants in succinate dehydrogenase (SDHx) genes and their associated clinical evidence. The integrated evidence includes germline variants in SDHx genes; clinical genetics evidence: personal and family history of HPPGL-related tumors; tumor-derived evidence: somatic inactivation of SDHx alleles, KIT and PDGFRA status in gastrointestinal stromal tumors (GISTs), multifocal or extra-adrenal tumors, and metastasis status; and immunohistochemistry staining status for SDHA and SDHB genes. After processing, 8600 variants were submitted programmatically from the INT²GRATE|HPPGL platform to ClinVar via a custom-made INT²GRATE|HPPGL variant submission schema and an application programming interface (API). This novel integrated variant assessment and data sharing in hereditary cancers aims to improve the clinical assessment of genomic variants and advance precision oncology.

The presence of variants of uncertain significance (VUS) in DNA mismatch repair (MMR) genes leads to uncertainty in the clinical management of patients being evaluated for Lynch syndrome (LS). Currently, there is no platform to systematically use tumor-derived evidence alongside germline data for the assessment of VUS in relation to LS. We developed INT²GRATE (INTegrated INTerpretation of GeRmline And Tumor gEnomes) to leverage information from the tumor genome to inform the potential role of constitutional VUS in MMR genes. INT²GRATE platform has two components: a comprehensive evidence-based decision tree that integrates well-established clinico-genomic data from both the tumor and constitutional genomes to help inform the potential relevance of germline VUS in LS; and a web-based user interface (UI). With the INT²GRATE decision tree operating in the backend, INT²GRATE UI enables the front-end collection of comprehensive clinical genetics and tumor-derived evidence for each VUS to facilitate INT²GRATE assessment and data sharing in the publicly accessible ClinVar database. The performance of the INT²GRATE decision tree was assessed by qualitative retrospective analysis of genomic data from 5057 cancer patients with MMR alterations which included 52 positive control cases. Of 52 positive control cases with LS and pathogenic MMR alterations, 23 had all the testing parameters for the evaluation by INT²GRATE. All these variants were correctly categorized as INT²GRATE POSITIVE. The stringent INT²GRATE decision tree flagged 29 of positive cases by identifying the absence or unusual presentation of specific evidence, highlighting the conservative INT²GRATE logic in favor of a higher degree of confidence in the results. The remaining 99% of cases were correctly categorized as INCONCLUSIVE due to the absence of LS criteria and ≥1 tumor parameters. INT²GRATE is an effective platform for clinical and genetics professionals to collect and assess clinical genetics and complimentary tumor-derived information for each germline VUS in suspected LS patients. Furthermore, INT²GRATE enables the collation of integrated tumor-derived evidence relevant to germline VUS in LS, and sharing them with a large community, a practice that is needed in precision oncology.

Objectives A combination of immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH) is the current standard of care for HER2 evaluation in breast cancer. Here, we investigate the potential clinical utility of next-generation sequencing (NGS)–derived HER2/ERBB2 copy number (CN) data for predicting HER2 status as defined by American Society of Clinical Oncology (ASCO)/College of American Pathologists (CAP) guidelines. Methods In total, 294 locally recurrent and metastatic breast cancers previously tested by targeted hybrid capture–based NGS and by HER2 IHC/FISH were included. Analyses focused on the ERBB2 median log2 ratios and start-end genomic coordinates from NGS, average HER2 CN and HER2/CEP17 ratios from FISH, and the HER2 IHC scores. We also determined a more stringent log2 ratio cutoff to predict HER2-positive status with 100% specificity. Results Sixty-four (22%) cases were HER2 positive and 230 (78%) were HER2 negative by ASCO/CAP guidelines. The ERBB2 median log2 ratios from NGS strongly correlated with HER2 status by IHC/FISH (area under receiver operator characteristic curve = 0.951). ERBB2 log2 ratio more than 1.7 was 100% specific for HER2-positive results by IHC/FISH. Start and end genomic coordinates for regions of gain near ERBB2 by NGS also predicted HER2 status. Conclusions Copy number data from our NGS panel strongly correlate with HER2 status. Using a stringent cutoff, ERBB2 log2 ratio accurately predicts HER2 positivity with high specificity. The NGS CN assessment may have utility in determining HER2 status in certain clinical settings.

Background Leptomeningeal metastases occur across multiple solid and lymphoid cancers, and patients typically undergo cytopathologic assessment of cerebrospinal fluid (CSF) in this setting. For patients diagnosed with metastatic cancer, the detection of actionable somatic mutations in CSF can provide clinically valuable information for treatment without the need for additional tissue collection. Methods The authors validated a targeted next‐generation sequencing assay for the detection of somatic variants in cancer (OncoPanel) on cell‐free DNA (cfDNA) isolated from archival CSF specimens in a cohort of 25 patients who had undergone molecular testing of a prior tumor specimen. Results CSF storage time and volume had no impact on cfDNA concentration or mean target coverage of the assay. Previously identified somatic variants in CSF cfDNA were detected in 88%, 50%, and 27% of specimens diagnosed cytologically as positive, suspicious/atypical, and negative for malignancy, respectively. Somatic variants were identified in 81% of CSF specimens from patients who had leptomeningeal enhancement on magnetic resonance imaging compared with 31% from patients without such enhancement. Conclusions These data highlight the stability of cfDNA in CSF, which allows for cytopathologic evaluation before triage for next‐generation sequencing assays. For a subset of cases in which clinical suspicion is high but cytologic or radiographic studies are inconclusive, the detection of pathogenic somatic variants in CSF cfDNA may aid in the diagnosis of leptomeningeal metastases.

Purpose: Tumor genomic testing and cancer clinical trial enrollment provide key access to precision cancer therapeutics and supportive care options to enhance the patient experience. However, physician and patient barriers limit participation of patients who are historically underrepresented in genomic studies and clinical trials [historically underrepresented patients (HUP)], thereby decreasing generalizability for those most negatively affected by cancer diagnosis. We interviewed patients to identify factors impacting genomic testing uptake and clinical trial enrollment. Methods: From 09/2021 - 12/2021 we interviewed 16 patients diagnosed with cancer seen at an ambulatory oncology center. Patients were HUP (Black, American Indian or Alaska Native, Native Hawaiian or other Pacific Islander, Hispanic/Latinx, or older adult [70 years or older], or from a low-income zip code). From non-inclusive groups, patients identified as: 3 primarily spoke a language other than English, 9 Black, 3 other race, 6 Hispanic, and 3 aged 70 years or older. One-on-one interviews utilized a structured interview guide and lasted approximately 45 minutes. Participants were recruited until thematic saturation was reached then transcripts coded for major patterns and themes. Results: Regarding tumor genomic testing, many patients were unsure if they received testing or if testing was recommended (citing possible confusion with medical terminology or overwhelm with information). Cited barriers included education (not understanding the benefit of participating, investigational drug/device identity, the procedures and processes involved), mistrust of research (specifically concerns over data privacy); and logistical accessibility (cost, time away from work, transportation). Those tested found it to be an easy process. Several cited that a patient advocate or social worker would be beneficial to navigate the process. Barriers around clinical trial enrollment included education (the risks of participating/side effects, size of the study, investigational drug/device identity), mistrust of research (data privacy, inclusion of HUP in trial, loss of autonomy in decision making), and logistical accessibility (time commitment). HUP who participated in a clinical trial appreciated the additional psychosocial support and clinical monitoring. Patients were emphatically interested in participating in genomic testing and cancer clinical trials when presented as the best course of care, though concerns about side effects from clinical trials persisted. Conclusion: Patient barriers to tumor genomic testing and cancer clinical trials center around education, mistrust in research, and logistical accessibility. Patients who participated in genomic testing and clinical trials did have a positive experience. Barriers may be addressed with personalized education and coaching, including supportive resources referral. Citation Format: Ellana K. Haakenstad, Jane Roberts, Anna C. Revette, Wendy Loeser, Joseph Grider, Andrea Kruse, Alissa Gentile, Rachel Freedman, Neal I. Lindeman, Olga Kozyreva, Pedro Sanz-Altamira, Christopher S. Lathan, Michael Hassett, Ethan Cerami, Annette S. Kim, Danielle K. Manning, Jonathan Nowak, Marios Giannakis, R Coleman Lindsley, William C. Hahn, Barrett J. Rollins, Levi Garraway, Bruce E. Johnson, Nadine Jackson McCleary. Persistent patient barriers to genomic testing in ambulatory oncology. [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 5524.

794 Background: Tumor genomic testing (GT) has increased diagnostic accuracy and treatment options for patients (pts) with cancer. Dana-Farber Cancer Institute (DFCI) has made GT accessible as an institute-supported research effort for >10 yrs. We estimate 50% standard therapies and 15-35% clinical trials in Gastrointestinal Cancer Clinic (GCC) require GT to determine eligibility. Pts in GCC with certain cancers are eligible for GT as a clinical test – these include metastatic/locally advanced colorectal, gastric, pancreatic, or biliary cancers. Clinical testing requires CLIA lab certification and insurance reimbursement; research does not. Herein we ID gaps in our GT database. Methods: We reviewed data on GT uptake in GCC between 4/2015 - 6/2022. 20,096 pts were captured by the GT tracking system. Data included: testing ordered and completed (proportion, type, time to receiving tissue for testing [TR], time to testing completion [TC]). Demographic data is not captured in the tracking system; matching unique patient identifiers with electronic health record is pending. Results: Most pts received GT (57.6%); 12% were not eligible; 30.4% declined consent. Most testing was completed (67.6%), but 21.3% of tests failed (45.5% of these from insufficient tissue). Research testing (71%) comprised most tests, but clinical tests were completed faster (median 34 days research vs 20 days clinical). Ampullary (91%), anal (90%), colon (90%) had highest completion rates; pancreatic (59%), hepatocellular carcinoma (56%) had lowest (from insufficient viable tumor in submitted specimens). Conclusions: GCC has a robust recruitment program that has yielded high GT uptake. Given the frequency that GT is used for treatment and trials, building a demographically representative dataset is crucial, especially for pts with largest burden of morbidity and mortality from cancer. We ID'd data gaps in the GT tracking system, which lacks demographics and reason for not testing. Demographic data is available in the electronic health record but does not speak with the GT tracking system so this analysis is not routinely done. Ability to visualize this data is important to ensure equitable GT uptake. Future efforts will focus on improving rates of consent in genomics databases and cancer clinical trials. Genomic testing at Dana-Farber Cancer Institute Gastrointestinal Cancer Center, 4/2015 – 6/2022.[Table: see text]

Genomic profiles of tumors are often unique and represent characteristic mutational signatures defined by DNA damage or DNA repair response processes. The tumor-derived somatic information has been widely used in therapeutic applications, but it is grossly underutilized in the assessment of germline genetic variants. Here, we present a comprehensive approach for evaluating the pathogenicity of germline variants in cancer using an integrated interpretation of somatic and germline genomic data. We have previously demonstrated the utility of this integrated approach in the reassessment of pathogenic germline variants in selected cancer patients with unexpected or non-syndromic phenotypes. The application of this approach is presented in the assessment of rare variants of uncertain significance (VUS) in Lynch-related colon cancer, hereditary paraganglioma-pheochromocytoma syndrome, and Li-Fraumeni syndrome. Using this integrated method, germline VUS in PMS2, MSH6, SDHC, SHDA, and TP53 were assessed in 16 cancer patients after genetic evaluation. Comprehensive clinical criteria, somatic signature profiles, and tumor immunohistochemistry were used to re-classify VUS by upgrading or downgrading the variants to likely or unlikely actionable categories, respectively. Going forward, collation of such germline variants and creation of cross-institutional knowledgebase datasets that include integrated somatic and germline data will be crucial for the assessment of these variants in a larger cancer cohort.

To evaluate the clinical impact of molecular tumor profiling (MTP) with targeted sequencing panel tests, pediatric patients with extracranial solid tumors were enrolled in a prospective observational cohort study at 12 institutions. In the 345-patient analytical population, median age at diagnosis was 12 years (range 0–27.5); 298 patients (86%) had 1 or more alterations with potential for impact on care. Genomic alterations with diagnostic, prognostic or therapeutic significance were present in 61, 16 and 65% of patients, respectively. After return of the results, impact on care included 17 patients with a clarified diagnostic classification and 240 patients with an MTP result that could be used to select molecularly targeted therapy matched to identified alterations (MTT). Of the 29 patients who received MTT, 24% had an objective response or experienced durable clinical benefit; all but 1 of these patients received targeted therapy matched to a gene fusion. Of the diagnostic variants identified in 209 patients, 77% were gene fusions. MTP with targeted panel tests that includes fusion detection has a substantial clinical impact for young patients with solid tumors.

Tumor purity, or the relative contribution of tumor cells out of all cells in a pathological specimen, influences mutation identification and clinical interpretation of cancer panel next generation sequencing results. Here, we describe a method of calculating tumor purity using pathologist-guided copy number analysis from sequencing data. Molecular calculation of tumor purity showed strong linear correlation with purity derived from driver KRAS or BRAF variant allele fractions in colorectal cancers (R2 = 0.79) compared to histological estimation in the same set of colorectal cancers (R2 = 0.01) and in a broader dataset of cancers with various diagnoses (R2 = 0.35). We used calculated tumor purity to quantitate ERBB2 copy number in breast carcinomas with equivocal immunohistochemical staining and demonstrated strong correlation with fluorescence in situ hybridization (R2 = 0.88). Finally, we used calculated tumor purity to infer the germline status of variants in breast and ovarian carcinomas with concurrent germline testing. Tumor-only next generation sequencing correctly predicted the somatic versus germline nature of 26 of 26 (100%) pathogenic TP53, BRCA1 and BRCA2 variants. In this article, we describe a framework for calculating tumor purity from cancer next generation sequencing data. Accurate tumor purity assessment can be assimilated into interpretation pipelines to derive clinically useful information from cancer genomic panels.

The interpretation of hereditary genetic sequencing variants is often limited due to the absence of functional data and other key evidence to assess the role of variants in disease. Cancer genetics is unique, as two sets of genomic information are often available from a cancer patient: somatic and germline. Despite the progress made in the integrated analysis of somatic and germline findings, the assessment of pathogenicity of germline variants in high penetrance genes remains grossly underutilized. Indeed, standard ACMG/AMP guidelines for interpreting germline sequence variants do not address the evidence derived from tumor data in cancer. Previously, we have demonstrated the utility of somatic tumor data as supporting evidence to elucidate the role of germline variants in patients suspected with VHL syndrome and other cancers. We have leveraged the key elements of cancer genetics in these cases: genes with expected high disease penetrance and those with a known biallelic mechanism of tumorigenicity. Here we provide our optimized protocol for evaluating the pathogenicity of germline VHL variants using informative somatic profiling data. This protocol provides details of case selection, assessment of personal and family evidence, somatic tumor profiles, and loss of heterozygosity (LOH) as supporting evidence for the re-evaluation of germline variants.