Specific Copy Number Research Articles

Longitudinal analysis of genetic and epigenetic changes in human pluripotent stem cells in the landscape of culture-induced abnormality.

Human embryonic stem cells (hESCs) are naturally equipped to maintain genome integrity to minimize genetic mutations during early embryo development. However, genetic aberration risks and subsequent cellular changes in hESCs during in vitro culture pose a significant threat to stem cell therapy. While a few studies have reported specific somatic mutations and copy number variations (CNVs), the molecular mechanisms underlying the acquisition of 'culture-adapted phenotypes' by hESCs are largely unknown. Therefore, we conducted comprehensive genomic, single-cell transcriptomic, and single-cell ATAC-seq analyses of an isogenic hESC model displaying definitive 'culture-adapted phenotypes'. We found that hESCs lacking TP53, in which loss-of-function mutations were identified in human pluripotent stem cells (hPSCs), presented a surge in somatic mutations. Notably, hPSCs with a copy number gain of 20q11.21 during early passage did not present 'culture-adapted phenotypes' or BCL2L1 induction. Single-cell RNA-seq and ATAC-seq analyses revealed active transcriptional regulation at the 20q11.21 locus. Furthermore, the induction of BCL2L1 and TPX2 to trigger 'culture-adapted phenotypes' was associated with epigenetic changes facilitating TEA domain (TEAD) binding. These results suggest that 20q11.21 copy number gain and additional epigenetic changes are necessary for expressing 'culture-adapted phenotypes' by activating gene transcription at this specific locus.

433. UNRAVELLING THE MOLECULAR MECHANISMS BEHIND TUMOUR DIFFERENTIATION IN ESOPHAGEAL ADENOCARCINOMA

Abstract Background Esophageal adenocarcinoma tumors are divided into three grades based on the tumour’s histological differentiation: well, moderate and poor. Poorly differentiated tumours have a worse survival rate than moderate and well tumours. Understanding the molecular programs of this differentiation may lead to the identification of novel therapeutic interventions specific to tumour differentiation. We have utilized laser-capture microdissection to enrich tumour cells followed by gene expression profiling (RNA-seq) to identify gene expression programs and whole genome sequencing for differentiating specific mutations and copy number changes. Collectively, these results will enable us to unravel the molecular drivers of tumour differentiation. Methods Laser capture microdissection was applied to N=127 RNA-seq samples from N=74 patients and N=103 from N=81 patients from a mix of primary tumour biopsies, resections, and metastatic biopsies. Most samples have a matching RNA-seq and WGS sample. We used a standard pipeline to analyze the WGS data and produce somatic mutation, structural variant, and copy number calls. The gene expression data was segregated into two sets a test set consisting of N=74 samples and a test set of N=53 samples. Non-negative matrix factorization was used to identify eleven gene expression programs. Results Our testing RNA-seq cohort consisted of N=74 samples from N=74 patients with N=4 G1, N=26 G2, N=35 G3, and N=9 missing differentiation data. Our initial goal was to unravel the gene expression programs that correlate with tumour differentiation. Our non-negative matrix factorization analysis yielded 11 gene signatures, N=3 programs enriched in glandular gene expression, N=3 enriched in EMT pathways, N=2 with fibroblasts, and N=3 associated with immune / inflammation genes (not shown) (Figure 1). Moreover, the glandular signatures were associated with G1/G2 and the EMT and fibroblast signatures with G3. Moreover, the glandular 2 signature was associated with HER2 amplifications. Conclusion In this work we have begun to unravel the gene expression and genomic changes associated with tumour differentiation. We have found signatures enriched for both G1/G2 and G3 tumours and from these signatures we have observed gene expression heterogeneity within the different tumour differentiation categories. Moreover, the G3 tumours are enriched in fibroblasts despite our laser-capture microdissection. We are currently working on a classification model to predict tumor differentiation from these gene expression programs and are looking to further integrate our whole genome data to find additional genomic drivers.

Chromosomal copy number based stratification of gastric cancer has added prognostic value to Lauren’s histological classification

BackgroundThe Cancer Genome Atlas (TCGA) recognizes four molecular subgroups of gastric cancer: Epstein-Barr virus (EBV) positive, microsatellite instable (MSI), genomically stable (GS), and chromosomal instable (CIN). Since a GS/CIN classifier is lacking, alternative markers such as Lauren’s histopathology or CDH1/p53 immunohistochemistry are commonly applied. Here we compared survival of gastric cancer subgroups determined by four methods.Methods309 EBV negative and microsatellite stable tumors were included from the Dutch D1/D2 trial and assigned to subgroups by: (i) TCGA’s specific chromosomal copy number aberrations, (ii) genome instability index (GII), (iii) Lauren’s classification, and (iv) CDH1/p53 immunohistochemistry. Subgroups were associated with cancer-related survival (CRS).ResultsFive-year CRS was 42.0% for diffuse and 49.5% for patients with intestinal type tumors, and 57.8% for GS and 41.6% for patients with CIN tumors. Classification by GII or CDH1/p53 IHC did not correlate with CRS. The combination of TCGA and Lauren classifications resulted in four distinct subgroups. Five-year CRS for GS-intestinal (n = 24), GS-diffuse (n = 57), CIN-intestinal (n = 142) and CIN-diffuse (n = 86) was 61.4%, 56.5%, 47.6%, and 31.5%, respectively.ConclusionsTCGA’s GS and CIN subgroups have additional prognostic value to Lauren’s classification in resectable gastric cancer. GS-intestinal, GS-diffuse, CIN-intestinal and CIN-diffuse are suggested stratification variables for future studies.

Prediction of molecular subclasses of uveal melanoma by deep learning using routine haematoxylin-eosin-stained tissue slides.

Uveal melanoma has a high propensity to metastasize. Prognosis is associated with specific driver mutations and copy number variations, and these can only be obtained after genetic testing. In this study we evaluated the efficacy of patient outcome prediction using deep learning on haematoxylin and eosin (HE)-stained primary uveal melanoma slides in comparison to molecular testing. In this retrospective study of patients with uveal melanoma, 113 patients from the Erasmus Medical Centre who underwent enucleation had tumour tissue analysed for molecular classification between 1993 and 2020. Routine HE-stained slides were scanned to obtain whole-slide images (WSI). After annotation of regions of interest, tiles of 1024 × 1024 pixels were extracted at a magnification of 40×. An ablation study to select the best-performing deep-learning model was carried out using three state-of-the-art deep-learning models (EfficientNet, Vision Transformer, and Swin Transformer). Deep-learning models were subjected to a training cohort (n = 40), followed by a validation cohort (n = 20), and finally underwent a test cohort (n = 48). A k-fold cross-validation (k = 3) of validation and test cohorts (n = 113 of three classes: BAP1, SF3B1, EIF1AX) demonstrated Swin Transformer as the best-performing deep-learning model to predict molecular subclasses based on HE stains. The model achieved an accuracy of 0.83 ± 0.09 on the validation cohort and 0.75 ± 0.04 on the test cohort. Within the subclasses, this model correctly predicted 70% BAP1-mutated, 61% SF3B1-mutated and 80% EIF1AX-mutated UM in the test set. This study showcases the potential of the deep-learning methodology for predicting molecular subclasses in a multiclass manner using HE-stained WSI. This development holds promise for advanced prognostication of UM patients without the need of molecular or immunohistochemical testing. Additionally, this study suggests there are distinct histopathological features per subclass; mainly utilizing epithelioid cellular morphology for BAP1-classification, but an unknown feature distinguishes EIF1AX and SF3B1.

EPEN-28. NOVEL TARGET IDENTIFICATION IN RECURRENT POSTERIOR FOSSA EPENDYMOMA GROUP A

Abstract BACKGROUND Posterior fossa ependymoma group A (PF-EPN-A) are an aggressive subgroup of ependymal tumors which occur predominantly in infants and possess a poor prognosis. Treatment is limited to surgical resection and adjuvant radiation with no approved chemotherapies or targeted therapies available. Despite treatment efforts, nearly half of all PF-EPN-A cases will experience tumor recurrence within a decade of initial diagnosis. Our current understanding of relapse is limited to clinical risk stratification based on subtotal resection of the primary tumor, male sex and specific chromosomal copy number aberrations. In an effort to overcome the shortcomings of current literature on PF-EPN-A recurrence, we present a concerted effort to investigate the biology of both recurrent human tissue specimens and patient-derived cell models to identify novel drivers of recurrence. METHODS Utilizing a multi-omics approach, we have conducted transcriptomic (bulk RNA-Seq), proteomic and phosphoproteomic (LC-MS/MS) analyses in order to identify molecular pathways that are enriched in recurrent disease as compared to primaries. We have also performed genome-wide CRISPR essentiality screens to further pinpoint essential genes and pathways with therapeutic potential. RESULTS Through the comparison of primary and recurrent PF-EPN-A samples, we have identified both previously implicated and novel genes and pathways in recurrent disease. Our multi-omic analyses identified the upregulation of genes involved in DNA repair, DNA damage response and cell cycle pathways in recurrent PF-EPN-A. CONCLUSIONS Our combined approach has enabled the identification of novel targets with therapeutic potential in the treatment of recurrent PF-EPN-A. The identified targets will be validated using a combination of drug screening and knockdown approaches in vitro. Top candidates will be further validated in vivo with established recurrent xenograft mouse models. PF-EPN-A is an aggressive disease with limited treatment options and the identification of novel targets with potential therapeutic utility will allow us to better treat this patient population.

Copy number variants at 4q31.3 affecting the regulatory region of FBXW7 associated with neurodevelopmental delay.

Emerging research has demonstrated that genomic alterations disrupting topologically associated domains (TADs) and chromatin interactions underlie the pathogenic mechanisms of specific copy number variants (CNVs) in neurodevelopmental disorders. We report two patients with a de novo deletion and a duplication in chromosome 4q31, potentially causing FBX-related neurodevelopmental syndrome by affecting the regulatory region of FBXW7. High-throughput chromosome conformation capture (Hi-C) analysis using available capture data in neural progenitor cells revealed the rewiring of the TAD boundary close to FBXW7. Both patients exhibited facial dysmorphisms, cardiac and limb abnormalities, and neurodevelopmental delays, showing significant clinical overlap with previously reported FBXW7-related features. We also included an additional 10 patients with CNVs in the 4q31 region from the literature and the DECIPHER database for Hi-C analysis, which confirmed that disruption of the regulatory region of FBXW7 likely contributes to the developmental defects observed in these patients.

Abstract PO5-16-01: Clinicogenomic analysis reveals genomic associations of brain metastatic tropism in breast cancer

Abstract Introduction: Recent progress in imaging and therapeutics has led to improvements in the treatment of advanced breast cancer. However, the incidence of brain metastasis (BM) in breast cancer is increasing and continues to be associated with poor prognosis and significant morbidity. Herein, we describe genomic enrichments associated with brain tropism from a large institutional clinico-genomic cohort. Methods: Patients who underwent tumor and matched normal sequencing utilizing hybridization-capture based targeted exonic sequencing (MSK-IMPACT) from April 2014 to March 2023 were included in this analysis; this cohort included 6,377 samples from 5,135 patients. We analyzed genomic data to inform the full spectrum of somatic and germline mutations, copy number changes and structural variants enriched in samples in resected BM specimens (n = 179), compared to primary tumors (n = 2980), stratified by receptor status. Enrichment analysis was conducted using a Fisher exact test for each respective receptor status. Similar analyses were conducted between extracranial metastatic (ECM) sites (n = 3186) and primary tumors, to differentiate the unique genomic features driving the emergence of BM as compared to general metastatic propensity. Multiple hypothesis testing was performed using Benjamini-Hochberg. Further genomic analysis, including allele specific copy number changes and mutational signatures will be reported at the 2023 SABCS meeting. Results: Oncogenic alterations in several genes were found to be enriched in BM samples compared to primary tumor, with an odds ratio exceeding that of the corresponding ECM comparison. For example, in the HR+/HER2- subset (4329 samples from 3476 patients), pathogenic variants in the following genes were enriched in BM:Primary analysis: NF1 (OR 6.4 [2.9 – 13.7], q = 0.001, 15.5% of BM), MYC (OR 3.9 [2.0 – 7.4], q = 0.001, 24.4% of BM), AGO2 (5.2 [2.4 – 10.9], q= 0.002, 15.5% of BM), CDKN2A (OR 3.9 [1.6 – 9.4], q = 0.06, 10.3% of BM), ERBB2 (OR 3.6 [1.5 – 8.6], q = 0.06, 10.3% of BM), RB1 (OR 4.2 [1.5 – 11.4], q = 0.06, 8.6% of BM), TP53 (OR 2.0 [1.1 – 3.5], q = 0.07, 40% of BM). In contrast, ESR1 variants were enriched in BM:Primary (OR 14.0 [6.7 – 28.2], but at the same level as ECM:Primary (OR 12.3 [8.7 – 17.7]). When considering HER2+ tumors (919 samples from 739 patients), only NKX.3 was enriched in the BM:Primary comparison (OR 11.5 [3.2 – 42.3], q = 0.004, 11.6% of BM). Although no TNBC samples met significance thresholds after adjustment for multiple hypothesis testing, CDH1, NTRK1, EGFR, and TP53 emerged as putatively significant. Conclusions: In a large cohort of genomically-profiled breast cancer samples, we find recurrent involvement of genes involved in cell cycle regulation (RB1, CDKN2A, TP53); these have been found to be enriched in brain metastases from other cancer types and are implicated in resistance to common lineage-directed therapies. Our approach also uncovered several targets for which therapies are actively in development (ERBB2, MYC). Further study of genomic evolution of breast cancer in the context of brain metastasis and therapeutic resistance will uncover conserved site-specific genomic changes and will identify novel, rational therapeutic targets. Citation Format: Anton Safonov, Deborah Smith, Emanuela Ferraro, Junchao Shen, Ishaani Khatri, Rahul Kumar, Julia An, Mark Robson, Sarat Chandarlapaty, Adrienne Boire, Nikolaus Schultz, Nelson Moss, Luke Pike, Pedram Razavi. Clinicogenomic analysis reveals genomic associations of brain metastatic tropism in breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-16-01.

Clinical and neurobehavioral phenotype in children with autism and intragenic copy number duplications in CNTN4: Case series report

Copy Number Variation (CNV) of contactin genes (CNTNs) - CNTN3, CNTN4, CNTN5, and CNTN6 - have been associated with various neurodevelopmental disorders, including Autism Spectrum Disorder (ASD). However, the literature on the associated phenotypes to specific copy number variants of these genes is still scarce. Therefore, limiting clinicians' and researchers' understanding of the impact of these CNVs makes genetic counselling regarding recurrence risks more challenging. In this study, we report on five patients with rare CNVs involving the CNTN4 gene and the associated clinical and neurobehavioral phenotype. Overall, the patients exhibited stereotypic motor symptoms, including finger and hand mannerisms (4/5), and repetitive use of objects (4/5), as well as sensory symptoms, including unusual sensory interests or hypersensitivity (4/5). One child of the cohort had epilepsy, and (4/5) had Intellectual Disability. All cases fulfilled DSM-5 criteria for diagnosis of Autism Spectrum Disorder (ASD). However, larger cohorts are needed for unbiased characterization of the phenotypic features associated with the genetic variations in CNTN4.

Abstract LB097: Sensitive detection of central nervous system tumors using a sequencing based cerebrospinal fluid test

Abstract The current approach to diagnosing and monitoring tumors of the central nervous system relies almost exclusively on radiographic imaging and neurosurgical procedures. Cerebrospinal fluid (CSF) is appealing for diagnosis because it is already part of the standard of care for the diagnosis or management of several types of CNS disease, including cancer, and the tumor DNA is more highly concentrated inside the blood brain barrier than in plasma or other bodily fluids. Even though cytology is widely used, sensitivity remains low ranging from 2% to 50%, depending on cancer type. We report an analytic technique that efficiently introduces identical molecular barcodes to both strands of CSF template DNA molecules for the identification of cancer specific somatic mutations and copy number alterations. We apply this approach to 126 CSF samples obtained from individuals with known primary or metastatic tumors involving the brain and 36 CSF samples obtained from individuals with non-neoplastic neurological conditions such as multiple sclerosis and another neurologic conditions. We correctly detect 91% of cancers at a specificity of 94.5%. In cases (n=20) where standard of care cytology was available, cytology detected 25% of cancers while our molecular assay detected 90%. Our approach has the capacity to be used in combination with other clinical, radiologic, and laboratory-based data to inform the diagnosis and management of patients with suspected cancers of the brain. Positives n= Sensitivity GBM 42 46 91.3% Lymphoma 22 24 91.7% Medulloblastoma 14 16 87.5% Metastases 37 40 92.5% Citation Format: Christopher B. Douville, Chetan Bettegowda. Sensitive detection of central nervous system tumors using a sequencing based cerebrospinal fluid test [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB097.

Abstract 4340: Profiling the evolutionary history of giant cancer cells in sarcomas: Hopeful monsters or an evolutionary dead end

Abstract Background: As tumors evolve, they accumulate somatic mutations that serve as an archeological record of their evolutionary past. Undifferentiated pleomorphic sarcomas (USARCs) are malignant soft tissue tumors that often contain scattered giant cancer cells, or potential ‘hopeful monster cells’, histologically. As USARCs frequently undergo whole genome doubling (WGD) and chromothripsis (Steele et al, 2019), both mutational events are likely to contribute to the formation of giant cancer cells, which frequently display atypical nuclear features such as polyploidy, micronuclei and extrachromosomal DNA. Giant cancer cells are also a common histological finding in other sarcoma types, such as dedifferentiated liposarcomas. Aims: This study aims to leverage single cell sequencing approaches to determine the evolutionary history and genomic landscape of giant cancer cells in sarcomas. Methods: 112 giant cancer cells identified in 8 USARCs, 1 dedifferentiated liposarcoma (DDLPS) and 1 myxofibrosarcoma by histology (i.e. nuclear size and shape, as well as multi-nucleation) were isolated via laser capture microdissection thereby retaining important spatial and morphological information. Once isolated, single cell DNA was extracted and amplified using the Ampli1 whole genome amplification (WGA) kit and underwent WGS. DNA was also estimated at a single cell level in one USARC using FACS. Once sorted into different ploidy populations, single nuclei also underwent WGS. Allele specific copy number aberrations (CNAs) were inferred in all single cells. Bulk tumour and normal WGS was also performed. Results: LCM isolated giant cancer cells exhibited extreme sub-clonal heterogeneity with some demonstrating de novo chromothripsis events that was not present in bulk WGS. FACS analysis and copy number inference of single cancer cells in one USARC also revealed the presence of three ploidy populations, including a haploid, a near diploid and a WGD population. Single cell WGS and copy number profiling demonstrated that following near genome scale haploidisation, multiple haploid cells underwent successive rounds of WGD. Conclusions: Chromothripsis and WGD emerges as major contributors to intra-tumor heterogeneity in sarcoma giant cancer cells. Single cell LCM and WGS revealed that some giant cancer cells contained de novo chromothripsis events that were not observed in bulk WGS. Multiple sub-clonal WGD events also permitted one USARC to continue to explore its fitness landscape contributing to ongoing tumor heterogeneity and lethality. Citation Format: Amy Bowes, Tom Lesluyes, Sara Waise, Annelien Verfaillie, Adrienne Flanagan, Jonas Demeulemeester, Maxime Tarabichi, Nischalan Pillay, Peter Van Loo. Profiling the evolutionary history of giant cancer cells in sarcomas: Hopeful monsters or an evolutionary dead end [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4340.

Abstract 780: Normal breast tissues harbor rare populations of aneuploid epithelial cells

Abstract Although aneuploidy is a hallmark of invasive breast cancers, the presence of aneuploid cells in breast tissues of disease-free women is poorly understood. Furthermore, the expansion of aneuploid cells and the specific copy number events that they harbor, as well as their relationship to invasive breast cancers has not been characterized in large cohorts of women. In this study, we obtained viable cell suspensions from 31 disease-free women that underwent reduction mammoplasty surgeries and fresh tissue collection in the HBCA project along with the collection of clinical metadata. The viable cell suspensions from 31 women were enriched for epithelial cells and used to perform high-thoughput nanowell scDNA-seq. In total, 55,321 cells were analyzed. The normal breast tissue samples were also embedded into OCT and frozen to perform Spatial Transcriptomics (Visium 10X Genomics) profiling and embedded into FFPE to perform histopathological analysis. Our data shows that all women harbored rare populations of aneuploid epithelial cells (mean 4.3%) that increased in frequency and their number of copy number aberrations with age. Many aneuploid epithelial cells (mean 79%) in normal breast tissues underwent clonal expansions of their genomes and harbored chromosomal aberrations detected in invasive breast cancers (gain of 1q and loss of 7q, 10q, 16q). Spatial mapping showed that aneuploid cells are localized in focal regions of ductal and lobular epithelial structures with normal histopathological features. Collectively, these data show that aneuploid epithelial cells exist in the normal breast tissues of disease-free women and increase with age. In many women, the aneuploid cells expand and harbor CNA events associated with invasive breast cancer. Citation Format: Yiyun Lin, Junke Wang, Kaile Wang, Shanshan Bai, Aatish Thennavan, Runmin Wei, Yun Yan, Jianzhuo Li, Heba Elgamal, Emi Sei, Anna Casasent, Mitchell Rao, Chenling Tang, Jessica Montalvan, Chandandeep Nagi, Sebastrian Winocour, Bora Lim, Alastair Thompson, Nicholas Navin. Normal breast tissues harbor rare populations of aneuploid epithelial cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 780.

Chromosomal microarray testing yield in 829 cases of microcephaly: a clinical characteristics-based analysis for prenatal and postnatal cases

IntroductionMicrocephaly, characterized by abnormal head growth, can often serve as an initial indicator of congenital, genetic, or acquired disorders. In this study, we sought to evaluate the effectiveness of chromosomal microarray (CMA) testing in detecting abnormalities in both prenatal and postnatal cases of microcephaly.Materials and methodsCMA Testing: We conducted CMA testing on 87 prenatally-detected microcephaly cases and 742 postnatal cases at a single laboratory. We evaluated the CMA yield in relation to specific clinical characteristics.ResultsIn prenatal cases, pathogenic and likely pathogenic (LP) results were identified in 4.6% of cases, a significantly higher rate compared to low-risk pregnancies. The male-to-female ratio in this cohort was 3, and the CMA yield was not influenced by gender or other clinical parameters. For postnatal cases, the CMA yield was 15.0%, with a significantly higher detection rate associated with dysmorphism, hypotonia, epilepsy, congenital heart malformations (CHM), learning disabilities (LD), and a history of Fetal growth restriction (FGR). No specific recurrent copy number variations (CNVs) were observed, and the rate of variants of unknown significance was 3.9%.ConclusionsThe yield of CMA testing in prenatal microcephaly is lower than in postnatal cases (4.6% vs. 15%). The presence of microcephaly, combined with dysmorphism, hypotonia, epilepsy, CHD, LD, and FGR, significantly increases the likelihood of an abnormal CMA result.

Evolving copy number gains promote tumor expansion and bolster mutational diversification

The timing and fitness effect of somatic copy number alterations (SCNA) in cancer evolution remains poorly understood. Here we present a framework to determine the timing of a clonal SCNA that encompasses multiple gains. This involves calculating the proportion of time from its last gain to the onset of population expansion (lead time) as well as the proportion of time prior to its first gain (initiation time). Our method capitalizes on the observation that a genomic segment, while in a specific copy number (CN) state, accumulates point mutations proportionally to its CN. Analyzing 184 whole genome sequenced samples from 75 patients across five tumor types, we commonly observe late gains following early initiating events, occurring just before the clonal expansion relevant to the sampling. These include gains acquired after genome doubling in more than 60% of cases. Notably, mathematical modeling suggests that late clonal gains may contain final-expansion drivers. Lastly, SCNAs bolster mutational diversification between subpopulations, exacerbating the circle of proliferation and increasing heterogeneity.

Abstract A057: Inter-tumor heterogeneity revealed by multi-site whole genome sequencing of high grade serous ovarian cancer

Abstract A057: Inter-tumor heterogeneity revealed by multi-site whole genome sequencing of high grade serous ovarian cancer

Copy number variant risk loci for schizophrenia converge on the BDNF pathway

Objectives Schizophrenia genetics is intricate, with common and rare variants’ contributions not fully understood. Certain copy number variations (CNVs) elevate risk, pivotal for understanding mental disorder models. Despite CNVs’ genome-wide distribution and variable gene and protein effects, we must explore beyond affected genes to interaction partners and molecular pathways. Methods In this study, we developed machine-readable interactive pathways to enable analysis of functional effects of genes within CNV loci and identify ten common pathways across CNVs with high schizophrenia risk using the WikiPathways database, schizophrenia risk gene collections from GWAS studies, and a gene-disease association database. Results For CNVs that are pathogenic for schizophrenia, we found overlapping pathways, including BDNF signalling, cytoskeleton, and inflammation. Common schizophrenia risk genes identified by different studies are found in all CNV pathways, but not enriched. Conclusions Our findings suggest that specific pathways - BDNF signalling - are critical contributors to schizophrenia risk conferred by rare CNVs. Our approach highlights the importance of not only investigating deleted or duplicated genes within pathogenic CNV loci, but also study their direct interaction partners, which may explain pleiotropic effects of CNVs on schizophrenia risk and offer a broader field for interventions.

The Development of a Series of Genomic DNA Reference Materials with Specific Copy Number Ratios for The Detection of Genetically Modified Maize DBN9936.

The genetically modified (GM) maize DBN9936 with a biosafety certificate will soon undergo commercial application. To monitor the safety of DBN9936 maize, three genomic DNA (gDNA) reference materials (RMs) (DBN9936a, DBN9936b, and DBN9936c) were prepared with nominal copy number ratios of 100%, 3%, and 1% for the DBN9936 event, respectively. DBN9936a was prepared from the leaf tissue gDNA of DBN9936 homozygotes, while DBN9936b and DBN9936c were prepared by the quantitative mixing of gDNA from the leaf tissues of DBN9936 homozygotes and non-GM counterparts. Validated DBN9936/zSSIIb duplex droplet digital PCR was demonstrated to be an accurate reference method for conducting homogeneity study, stability study, and collaborative characterization. The minimum intake for one measurement was determined to be 2 μL, and the gDNA RMs were stable during transport at 37 °C for 14 days and storage at -20 °C for 18 months. Each gDNA RM was certified for three property values: DBN9936 event copy number concentration, zSSIIb reference gene copy number concentration, and DBN9936/zSSIIb copy number ratio. The measurement uncertainty of the certified values took the uncertainty components related to possible inhomogeneity, instability, and characterization into account. This batch of gDNA RMs can be used for calibration and quality control when quantifying DBN9936 events.

Genomic amplifications identified by circulating tumor DNA analysis guide prognosis in metastatic castration-resistant prostate cancer.

Analysis of circulating tumor DNA (ctDNA) in patients with metastatic prostate cancer (mPC) provides an opportunity to identify and monitor genomic alterations during a patient's treatment course. We evaluated whether the presence of specific gene amplifications (GAs) and plasma copy number (PCN) alterations are associated with disease features. This is a single-institution retrospective study of patients with mPC who underwent ctDNA profiling using Guardant360® (Guardant Health Inc.). This test identifies single nucleotide variants (SNVs) and GAs of select genes by next-generation sequencing. A total of 155 men with mPC were studied. Patients were stratified by GA status. The Kaplan-Meier method and multivariate cox regression models were used to estimate overall survival (OS) or failure-free survival (FFS) from either the date of GA detection or the initiation of systemic therapy. The chi-square test was used to evaluate associations between clinical factors and GAs. The presence of liver and/or lung metastases was associated with GAs of BRAF, CDK6, PI3KCA, and FGFR1. Survival analyses were completed on a subset of 83 patients with metastatic castration-resistant prostate cancer (mCRPC). Median OS was improved in patients with 1 GA compared to patients with ≥2 GAs, whether determined from the date of initial GA(s) detection (14.9 mo vs. 8.9 mo) or date of therapy initiation nearest to GA detection (16.7 mo vs. 9.0 mo). Patients without GAs had not reached median OS. Patients with androgen receptor (AR) GA only were also found to have better median OS compared to patients with AR GA plus at least one other additional GA (19.3 mo vs. 8.9 mo). Patients with PIK3CA GA had significantly lower median OS compared to patients with GAs that did not have a PIK3CA GA (5.9 mo vs. 16.0 mo). In patients with AR and/or MYC GA(s), median OS improved in those with reduced AR or MYC PCN during therapy compared to those without such a reduction (25.1 mo vs. 15.9 mo). The association of select GAs with survival provides an additional tool for assessing mCRPC prognosis and informing management. Serial monitoring of ctDNA GAs is also useful to guide prognosis and therapeutic response.

Evaluation of Circulating Tumor DNA as a Liquid Biomarker in Uveal Melanoma.

Uveal melanoma (UM) has a high propensity to metastasize. Prognosis is associated with specific driver mutations and copy number variations (CNVs), but limited primary tumor tissue is available for molecular characterization due to eye-sparing irradiation treatment. This study aimed to assess the rise in circulating tumor DNA (ctDNA) levels in UM and evaluate its efficacy for CNV-profiling of patients with UM. In a pilot study, we assessed ctDNA levels in the blood of patients with UM (n = 18) at various time points, including the time of diagnosis (n = 13), during fractionated stereotactic radiotherapy (fSRT) treatment (n = 6), and upon detection of metastatic disease (n = 13). Shallow whole-genome sequencing (sWGS) combined with in silico size-selection was used to identify prognostically relevant CNVs in patients with UM (n = 26) from peripheral blood retrieved at the time of diagnosis (n = 9), during fSRT (n = 5), during post-treatment follow-up (n = 4), metastasis detection (n = 6), and metastasis follow-up (n = 4). A total of 34 patients had blood analyzed for ctDNA detection (n = 18) and/or CNV analysis (n = 26) at various time points. At the time of diagnosis, 5 of 13 patients (38%) had detectable ctDNA (median = 0 copies/mL). Upon detection of metastatic disease, ctDNA was detected in 10 of 13 patients (77%) and showed increased ctDNA levels (median = 24 copies/mL, P < 0.01). Among the six patients analyzed during fSRT, three (50%) patients had detectable ctDNA at baseline and three of six (50%) patients had undetectable levels of ctDNA. During the fSRT regimen, ctDNA levels remained unchanged (P > 0.05). The ctDNA fractions were undetectable to low in localized disease, and sWGS did not elucidate chromosome 3 status from blood samples. However, in 7 of 10 (70%) patients with metastases, the detection of chromosome 3 loss corresponded to the high metastatic-risk class. The rise in ctDNA levels observed in patients with UM harboring metastases suggests its potential utility for CNV profiling. These findings highlight the potential of using ctDNA for metastasis detection and patient inclusion in therapeutic studies targeting metastatic UM.

A genomic biomarker for the rapid identification of the rob(1;29) translocation in beef cattle breeds.

Robertsonian translocations, specifically rob(1;29) translocation, have reportedly been the most prevalent chromosomal abnormalities in cattle, affecting various breeds and leading to a decrease in fertility and reproductive value. Currently, the identification of rob(1;29) carriers relies on cytogenetic analysis that has limitations in terms of accessibility, cost, and sample requirements. To address these limitations, a novel genomic biomarker was developed in this study for the rapid and precise identification of rob(1;29) carriers. Using q-PCR, a specific copy number variation associated with translocation was targeted, which effectively distinguished between wild-type, homozygous and heterozygous carriers. Crucially, the biomarker can be applied to DNA extracted from various biological matrices, such as semen, embryos, oocytes, milk, saliva, coat, and muscle, and it is compatible with fresh, refrigerated, or frozen samples. Furthermore, this approach offers significant reductions in cost compared to those associated with traditional cytogenetic analysis and provides results within a short turnaround time. The successful development of this genomic biomarker has considerable potential for widespread adoption in screening programs. It facilitates timely identification and management of rob(1;29) carriers while mitigating economic losses and preserving genetic integrity in bovine populations.

Comparative assessment of the copy number of satellite repeats in the genome of Triticeae species.

Satellite repeats are a significant component of the genome of Triticeae and play a crucial role in the speciation. They are a valuable tool for studying these processes. Pseudoroegneria species play a special role among grasses, as they are considered putative donors of the St-genome in many polyploid species. The aim of this study was to compare the copy number of satellite repeats in the genomes of Triticeae species. Quantitative real-time PCR was applied to determine the copy numbers of 22 newly discovered satellite repeats revealed in the whole-genome sequences of Pseudoroegneria species and one additional repeat previously identified in the genome of Aegilops crassa. The study focused on seven species of Pseudoroegneria, three species of Thinopyrum, Elymus pendulinus, Ae. tauschii, Secale cereale, and Triticum aestivum. Based on the copy number level and coefficients of variation, we identified three groups of repeats: those with low variability between species (medium-copy CL82), those with medium variability (low- and medium-copy CL67, CL3, CL185, CL119, CL192, CL89, CL115, CL95, CL168), and those with high coefficients of variation (CL190, CL184, CL300, CL128, CL207, CL69, CL220, CL101, CL262, CL186, CL134, CL251, CL244). CL69 exhibited a specific high copy number in all Pseudoroegneria species, while CL101 was found in both Pseudoroegneria and Th. junceum, CL244 in Th. bessarabicum, CL184 in P. cognata and S. cereale. CL95, CL128, CL168, CL186, CL207, and CL300 exhibited higher copy numbers in P. cognata compared to other species; CL3, CL95, CL115, CL119, CL190, CL220, CL207, and CL300 in P. kosaninii; CL89 in P. libanotica; CL134 in P. geniculata. Our assessment of the copy number of new satellite repeats in the St-genome and the analysis of their amplification specificity between species can contribute to the molecular-genetic and chromosome markers used for evolutionary, phylogenetic, and population studies of Triticeae species.