Abstract BACKGROUND Comprehensive molecular characterization of pediatric brain tumors has led to a more refined diagnosis. However, the feasibility of performing multi-omic and functional precision medicine approaches using ex-vivo drug screening in the clinical setting is unknown. METHODS Patients with newly diagnosed or recurrent central nervous system tumors were enrolled in a feasibility study of multi-omic analysis including whole genome trio germline sequencing, tumor whole exome/RNA sequencing, RNA-based DiSCoVER analysis, methylation profiling, immunogenic potential analysis, and ex-vivo drug screening utilizing a customized panel of 175 FDA approved/investigational drugs. Findings were presented at a multidisciplinary molecular neuro-oncology tumor board. RESULTS Eighteen patients (9 female; average age 9.4 years; 12 newly diagnosed, 6 with recurrent disease; 5 high grade gliomas, 4 ependymomas, 4 embryonal tumors, 3 low grade gliomas, 2 others) were enrolled between 2020-2022. Whole genome germline testing (N=18) was normal in half of patients (pathogenic germline mutations in 3 patients, variants of unknown significance in 6 patients). Ex-vivo drug screening results (N=14) varied among patients, however sub-micromolar efficacy was commonly observed for proteosome inhibitors, HDAC inhibitors, and topoisomerase II inhibitors. Average time from surgery to receipt of finalized results varied across platforms (drug screening 5.7 days, whole exome/RNA sequencing 14.8 days, whole genome germline 10.6 days, methylation 21 days). Fifteen patients had a modification in diagnosis and 4 patients had a change in tumor classification. Multi-omic and functional precision medicine results alone or in combination led to changes in management in 50% of patients (Tumor Molecular Sequencing 6/18, Ex-Vivo Drug Screening 4/14, RNA DiSCoVER Analysis 2/15, Methylation 1/14). CONCLUSION Our studies demonstrate the feasibility of timely ex-vivo drug screening and multi-omic analysis and show that these data may lead to changes in patient diagnosis/management. These findings are the basis of an ongoing trial for recurrent medulloblastoma (NCT05057702).

Glioma is a rare brain tumor with a poor prognosis. Familial glioma is a subset of glioma with a strong genetic predisposition that accounts for approximately 5% of glioma cases. We performed whole-genome sequencing on an exploratory cohort of 203 individuals from 189 families with a history of familial glioma and an additional validation cohort of 122 individuals from 115 families. We found significant enrichment of rare deleterious variants of seven genes in both cohorts, and the most significantly enriched gene was HERC2 (P = 0.0006). Furthermore, we identified rare noncoding variants in both cohorts that were predicted to affect transcription factor binding sites or cause cryptic splicing. Last, we selected a subset of discovered genes for validation by CRISPR knockdown screening and found that DMBT1, HP1BP3, and ZCH7B3 have profound impacts on proliferation. This study performs comprehensive surveillance of the genomic landscape of familial glioma.

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To understand the impact and burden of disease experienced by patients with hereditary angioedema (HAE).To determine whether the use of short message service (SMS) to communicate with patients with HAE facilitates the collection of attack rate, medication use, and quality of life measurements.Patients aged 12 years and older with doctor-confirmed HAE C1-inhibitor deficiency types I and II were invited to participate. We devised a novel method for monitoring attacks by using questions weekly via SMS to gain a more accurate picture of the burden of HAE in Australian patients in real time.A total of 2,648 weekly SMS messages were sent to 47 participants; 1,892 responses were received (71%). Participants reported 463 attacks across all treatment groups. Sixty percent of attacks were treated. Icatibant and C1-inhibitor concentrate were administered IV for 210 and 67 attacks, respectively. Of the 463 recorded attacks, 23 necessitated presentation to the hospital (5%), predominantly for facial and/or throat swelling. Several participants reported attacks (n = 186), which they chose not to treat. Most of those attacks were rated mildly severe. Twenty-one participants reported lost days owing to HAE attacks (44.7%). Fifty-eight attacks (17%) resulted in time away from work or school, equating to a total of 85.5 days lost.This study was a first of its kind, real-world, prospective, observational study of Australian patients living with HAE. Despite the availability of effective on-demand therapies, HAE remains burdensome. Wider access to safe and effective prophylactic therapies is needed for patients living with HAE.

Matthew Wood syndrome (MWS) or PDAC syndrome, or Syndromic Microphthalmia 9 (MCOPS9), encompasses a phenotype comprising pulmonary hypoplasia/agenesis, diaphragmatic eventration/hernia, anophthalmia/ microphthalmia, and cardiac defects (PDAC). It is a rare autosomal recessive condition with an unfavorable prognosis caused by mutations in the STRA6 (Signaling Receptor and Transporter of Retinol) gene. We report a female neonate with bilateral anophthalmia, right lung hypoplasia, hypoplastic branch pulmonary arteries, and malrotation of right kidney secondary to Syndromic Microphthalmia-9. We also add hitherto undescribed phenotypic features of persistent left superior vena cava draining into a dilated coronary sinus, a partial anomalous pulmonary venous connection of the left pulmonary veins into the persistent left superior vena cava and uterus didelphys. Next-generation whole genome sequencing identified two novel pathogenic mutations in the STRA6, which were inherited from the carrier father (c.1301-6T>A) and the carrier mother (c. 347del), respectively. Although a genotype-phenotype correlation is not well established, the described mutations may be associated with severe congenital cardiac defects. This case highlights the association of ocular abnormalities with a myriad of congenital malformations and the utility of rapid whole-genome sequencing in aiding the diagnosis and prognostic management. Table of contents summary: Syndromic Microphthalmia 9, a rare & fatal genetic condition characterized by anophthalmia, pulmonary hypoplasia, congenital cardiac defects, and severe pulmonary hypertension.

Iron-sulfur cluster proteins are involved in critical functions for gene expression regulation and mitochondrial bioenergetics including the oxidative phosphorylation system. The c.215G>A p.(Arg72Gln) variant in NFS1 has been previously reported to cause infantile mitochondrial complex II and III deficiency. We describe three additional unrelated patients with the same missense variant. Two infants with the same homozygous variant presented with hypotonia, weakness and lactic acidosis, and one patient with compound heterozygous p.(Arg72Gln) and p.(Arg412His) variants presented as a young adult with gastrointestinal symptoms and fatigue. Skeletal muscle biopsy from patients 1 and 3 showed abnormal mitochondrial morphology, and functional analyses demonstrated decreased activity in respiratory chain complex II and variably in complexes I and III. We found decreased mitochondrial and cytosolic aconitase activities but only mildly affected lipoylation of pyruvate dehydrogenase and 2-oxoglutarate dehydrogenase enzymes. Our studies expand the phenotypic spectrum and provide further evidence for the pathogenicity and functional sequelae of NFS1-related disorders with disturbances in both mitochondrial and cytosolic iron-sulfur cluster containing enzymes.

Background Clinical interpretation of genetic variants in the context of the patient's phenotype is becoming the largest component of cost and time expenditure for genome-based diagnosis of rare genetic diseases. Artificial intelligence (AI) holds promise to greatly simplify and speed genome interpretation by integrating predictive methods with the growing knowledge of genetic disease. Here we assess the diagnostic performance of Fabric GEM, a new, AI-based, clinical decision support tool for expediting genome interpretation. Methods We benchmarked GEM in a retrospective cohort of 119 probands, mostly NICU infants, diagnosed with rare genetic diseases, who received whole-genome or whole-exome sequencing (WGS, WES). We replicated our analyses in a separate cohort of 60 cases collected from five academic medical centers. For comparison, we also analyzed these cases with current state-of-the-art variant prioritization tools. Included in the comparisons were trio, duo, and singleton cases. Variants underpinning diagnoses spanned diverse modes of inheritance and types, including structural variants (SVs). Patient phenotypes were extracted from clinical notes by two means: manually and using an automated clinical natural language processing (CNLP) tool. Finally, 14 previously unsolved cases were reanalyzed. Results GEM ranked over 90% of the causal genes among the top or second candidate and prioritized for review a median of 3 candidate genes per case, using either manually curated or CNLP-derived phenotype descriptions. Ranking of trios and duos was unchanged when analyzed as singletons. In 17 of 20 cases with diagnostic SVs, GEM identified the causal SVs as the top candidate and in 19/20 within the top five, irrespective of whether SV calls were provided or inferred ab initio by GEM using its own internal SV detection algorithm. GEM showed similar performance in absence of parental genotypes. Analysis of 14 previously unsolved cases resulted in a novel finding for one case, candidates ultimately not advanced upon manual review for 3 cases, and no new findings for 10 cases. Conclusions GEM enabled diagnostic interpretation inclusive of all variant types through automated nomination of a very short list of candidate genes and disorders for final review and reporting. In combination with deep phenotyping by CNLP, GEM enables substantial automation of genetic disease diagnosis, potentially decreasing cost and expediting case review.

Background KMT2B-related dystonia is a recently described form of childhood onset dystonia that may improve with deep brain stimulation. Prior reports have focused on neurologic features including prominent bulbar involvement without detailing general health consequences that may result from orolingual dysfunction. We describe a family with novelKMT2Bmutation with several members with failure to thrive to highlight this non-neurologic, but consequential impact of mutation in this gene. Case presentation We present a case of a 15-year old female who was admitted and evaluated for failure to thrive. On exam, she had severe speech dysfluency, limited ability to protrude the tongue, and generalized dystonia involving the oromandibular region, right upper and left lower extremity with left foot inversion contracture. The proband and her parents underwent whole genome sequencing. A previously undescribed variant, c.4960 T > C (p.Cys1654Arg), was identified in theKMT2Bgene in the proband and mother, and this variant was subsequently confirmed in two maternal cousins, one with failure to thrive. Literature review identified frequent reports of prominent bulbar involvement but failure to thrive is rarely mentioned. Conclusion Failure to thrive is a common pediatric clinical condition that has consequences for growth and development. In the presence of an abnormal neurologic exam, a search for a specific underlying genetic etiology should be pursued. With this case series, we highlight an unusual potentially treatable cause of failure to thrive, reinforce the importance of precise molecular diagnosis for patients with failure to thrive and an abnormal neurologic exam, and underscore the importance of cascade screening of family members.

Abstract Medulloblastoma is among the most common malignant brain tumors in children. Recent studies have identified at least four subgroups of the disease that differ in terms of molecular characteristics and patient outcomes. Despite this heterogeneity, most patients with medulloblastoma receive similar therapies, including surgery, radiation, and intensive chemotherapy. Although these treatments prolong survival, many patients still die from the disease and survivors suffer severe long-term side effects from therapy. We hypothesize that each patient with medulloblastoma is sensitive to different therapies and that tailoring therapy based on the molecular and cellular characteristics of patients' tumors will improve outcomes. To test this, we assembled a panel of orthotopic patient-derived xenografts (PDX) and subjected them to DNA sequencing, gene expression profiling, and high-throughput drug screening. Analysis of DNA sequencing revealed that most medulloblastomas do not have actionable mutations that point to effective therapies. In contrast, gene expression and drug response data provided valuable information about potential therapies for every tumor. For example, drug screening demonstrated that actinomycin D, which is used for treatment of sarcoma but rarely for medulloblastoma, was active against PDXs representing Group 3 medulloblastoma, the most aggressive form of the disease. Functional analysis of tumor cells was successfully used in a clinical setting to identify more treatment options than sequencing alone. These studies suggest that it should be possible to move away from a one-size-fits-all approach and begin to treat each patient with therapies that are effective against their specific tumor. Significance: These findings show that high-throughput drug screening identifies therapies for medulloblastoma that cannot be predicted by genomic or transcriptomic analysis.

Relatively little is known about phenotypic variability in nonsyndromic nephropathy associated with the gene encoding the WT1 transcription factor. We report a 12-mo-old female who presented with vomiting, diarrhea, and fatigue in the setting of renal failure and malignant hypertension. Trio ultra-rapid whole-genome sequencing identified a novel, likely pathogenic, de novo missense variant (c.485T > A, p.Val162Asp) in WT1 in 46 h, consistent with a diagnosis of nephrotic syndrome type 4 (NPHS4; OMIM 256370). This disorder typically presents with nephrotic syndrome (gross proteinuria, hypoalbuminemia, and edema). Rapid diagnosis had an immediate impact on her clinical management in the pediatric intensive care unit. Diagnostic renal biopsy was avoided, and placement of permanent dialysis access, a gastrostomy tube, and bilateral nephrectomy were accelerated. This report expands the presenting phenotype of nonsyndromic nephrotic syndrome and/or renal failure due to heterozygous variants in WT1 (NPHS4). It also highlights the relationship between time to genomic diagnosis and clinical utility in critically ill infants.

OBJECTIVES Genetic disorders are a leading contributor to mortality in the neonatal ICU and PICU in the United States. Although individually rare, there are over 6,200 single-gene diseases, which may preclude a genetic diagnosis prior to ICU admission. Rapid whole genome sequencing is an emerging method of diagnosing genetic conditions in time to affect ICU management of neonates; however, its clinical utility has yet to be adequately demonstrated in critically ill children. This study evaluates next-generation sequencing in pediatric critical care. DESIGN Retrospective cohort study. SETTING Single-center PICU in a tertiary children's hospital. PATIENTS Children 4 months to 18 years admitted to the PICU who were nominated between July 2016 and May 2018. INTERVENTIONS Rapid whole genome sequencing with targeted phenotype-driven analysis was performed on patients and their parents, when parental samples were available. MEASUREMENTS AND MAIN RESULTS A molecular diagnosis was made by rapid whole genome sequencing in 17 of 38 children (45%). In four of the 17 patients (24%), the genetic diagnoses led to a change in management while in the PICU, including genome-informed changes in pharmacotherapy and transition to palliative care. Nine of the 17 diagnosed children (53%) had no dysmorphic features or developmental delay. Eighty-two percent of diagnoses affected the clinical management of the patient and/or family after PICU discharge, including avoidance of biopsy, administration of factor replacement, and surveillance for disorder-related sequelae. CONCLUSIONS This study demonstrates a retrospective evaluation for undiagnosed genetic disease in the PICU and clinical utility of rapid whole genome sequencing in a portion of critically ill children. Further studies are needed to identify PICU patients who will benefit from rapid whole genome sequencing early in PICU admission when the underlying etiology is unclear.

The second Newborn Sequencing in Genomic Medicine and Public Health study was a randomized, controlled trial of the effectiveness of rapid whole-genome or -exome sequencing (rWGS or rWES, respectively) in seriously ill infants with diseases of unknown etiology. Here we report comparisons of analytic and diagnostic performance. Of 1,248 ill inpatient infants, 578 (46%) had diseases of unknown etiology. 213 infants (37% of those eligible) were enrolled within 96 h of admission. 24 infants (11%) were very ill and received ultrarapid whole-genome sequencing (urWGS). The remaining infants were randomized, 95 to rWES and 94 to rWGS. The analytic performance of rWGS was superior to rWES, including variants likely to affect protein function, and ClinVar pathogenic/likely pathogenic variants (p < 0.0001). The diagnostic performance of rWGS and rWES were similar (18 diagnoses in 94 infants [19%] versus 19 diagnoses in 95 infants [20%], respectively), as was time to result (median 11.0 versus 11.2 days, respectively). However, the proportion diagnosed by urWGS (11 of 24 [46%]) was higher than rWES/rWGS (p = 0.004) and time to result was less (median 4.6 days, p < 0.0001). The incremental diagnostic yield of reflexing to trio after negative proband analysis was 0.7% (1 of 147). In conclusion, rapid genomic sequencing can be performed as a first-tier diagnostic test in inpatient infants. urWGS had the shortest time to result, which was important in unstable infants, and those in whom a genetic diagnosis was likely to impact immediate management. Further comparison of urWGS and rWES is warranted because genomic technologies and knowledge of variant pathogenicity are evolving rapidly.

While the majority of BRAF-mutant melanomas respond to BRAF/MEK inhibitors, these agents are not typically curative. Moreover, they are largely ineffective in NRAS and NF1-mutant tumors. Here we report that genetic and chemical suppression of HDAC3 potently cooperates with MAPK pathway inhibitors in all three Ras pathway-driven tumors. Specifically, we show that entinostat dramatically enhances tumor regression when combined with BRAF/MEK inhibitors, both in models that are sensitive or relatively resistant to these agents. Interestingly, MGMT expression predicts responsiveness and marks tumors with latent defects in DNA repair. BRAF/MEK inhibitors enhance these defects by suppressing homologous recombination genes, inducing a BRCA-like state; however, entinostat addition triggers the concomitant suppression of NHEJ genes, resulting in a chemical synthetic lethality caused by excessive DNA damage. Together these studies identify melanomas with latent DNA repair defects, describe a promising drug combination that capitalizes on these defects, and reveal a tractable therapeutic biomarker. Citation Format: Ophélia Maertens, Ryan Kuzmickas, Haley Manchester, Chloe Emerson, Alessandra Gavin, Caroline Guild, Terence Wong, Thomas De Raedt, Christian Bowman-Colin, Elodie Hatchi, Levi Garraway, Keith Flaherty, Shailja Pathania, Stephen Elledge, Karen Cichowski. MAPK pathway suppression unmasks latent DNA repair defects and confers a chemical synthetic vulnerability inBRAF,NRASandNF1-mutant melanomas [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr LB-113.

By informing timely targeted treatments, rapid whole-genome sequencing can improve the outcomes of seriously ill children with genetic diseases, particularly infants in neonatal and pediatric intensive care units (ICUs). The need for highly qualified professionals to decipher results, however, precludes widespread implementation. We describe a platform for population-scale, provisional diagnosis of genetic diseases with automated phenotyping and interpretation. Genome sequencing was expedited by bead-based genome library preparation directly from blood samples and sequencing of paired 100-nt reads in 15.5 hours. Clinical natural language processing (CNLP) automatically extracted children's deep phenomes from electronic health records with 80% precision and 93% recall. In 101 children with 105 genetic diseases, a mean of 4.3 CNLP-extracted phenotypic features matched the expected phenotypic features of those diseases, compared with a match of 0.9 phenotypic features used in manual interpretation. We automated provisional diagnosis by combining the ranking of the similarity of a patient's CNLP phenome with respect to the expected phenotypic features of all genetic diseases, together with the ranking of the pathogenicity of all of the patient's genomic variants. Automated, retrospective diagnoses concurred well with expert manual interpretation (97% recall and 99% precision in 95 children with 97 genetic diseases). Prospectively, our platform correctly diagnosed three of seven seriously ill ICU infants (100% precision and recall) with a mean time saving of 22:19 hours. In each case, the diagnosis affected treatment. Genome sequencing with automated phenotyping and interpretation in a median of 20:10 hours may increase adoption in ICUs and, thereby, timely implementation of precise treatments.

Abstract Melanoma accounts for less than 5% of skin cancers, but a majority of skin cancer deaths. Genomic studies and drug discovery programs have led to the development of targeted therapies, including BRAF and MEK inhibitors, but the inevitable resistance to these targeted agents necessitates a greater understanding of melanoma biology and genetics. By integrating genome-wide functional genomic and transcriptomic data, we have identified SOX10 as a lineage-specific genetic dependency in melanoma independent of BRAF or NRAS mutation status. Subsequent analyses indicate that SOX10 dependency is highly correlated with SOX10 gene expression and functional in vitro experiments have confirmed the role of SOX10 in the proliferation and growth of melanoma cell lines regardless of their sensitivity to MAPK pathway inhibitors. Chromatin immunoprecipitation of endogenous SOX10 followed by sequencing (SOX10 ChIP-seq) combined with transcriptomic profiling (RNA-seq) following SOX10 depletion by shRNA in a panel of melanoma cell lines determined the SOX10 cistrome, the set of SOX10 target genes across the melanoma genome. Integration of the SOX10 cistrome with genetic dependency data may lead to novel therapeutic approaches in melanoma. Citation Format: Terence Wong, Cory Johannessen, Jingyu Fan, Henry Long, Shirley Liu, Levi Garraway. Comprehensive cistromic characterization of SOX10, a lineage-specific genetic dependency in melanoma, via the integration of functional genomic approaches [abstract]. In: Proceedings of the AACR Precision Medicine Series: Opportunities and Challenges of Exploiting Synthetic Lethality in Cancer; Jan 4-7, 2017; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Ther 2017;16(10 Suppl):Abstract nr B15.

Abstract Melanoma accounts for less than 5% of skin cancers, but a majority of skin cancer deaths. Genomic studies have firmly established the role of recurrent somatic alterations in the pathogenesis of melanoma, including mutations in BRAF, NRAS, TP53, PTEN, and CDKN2A. While the discovery of activating mutations in BRAF in over 60% of melanomas has led to the development of FDA-approved BRAF and MEK inhibitors that induce dramatic responses in BRAF V600-mutant melanomas, the inevitable resistance to BRAF/MEK inhibitors necessitates a greater understanding of melanoma biology and genetics. By integrating genome-wide functional genomic and expression data, we have identified SOX10 as a lineage-specific genetic dependency in melanoma. SOX10 dependency is highly correlated with SOX10 gene expression in melanoma. Subsequent functional in vitro experiments have confirmed the role of SOX10 in the cellular proliferation and growth of melanoma cell lines. The combination of SOX10 depletion with current FDA-approved targeted therapies for melanoma hold promise for the delay or prevention of resistance to these therapeutics and may lead to more durable control of melanoma in human patients. Citation Format: Terence C. Wong, Cory M. Johannessen, Levi A. Garraway. Integration of genome-wide datasets identifies SOX10 as a lineage-specific genetic dependency in melanoma. [abstract]. In: Proceedings of the AACR Precision Medicine Series: Drug Sensitivity and Resistance: Improving Cancer Therapy; Jun 18-21, 2014; Orlando, FL. Philadelphia (PA): AACR; Clin Cancer Res 2015;21(4 Suppl): Abstract nr B33.