DNA Copy Number Aberrations Research Articles

Ductal carcinoma in situ develops within clonal fields of mutant cells in morphologically normal ducts.

Mutations are abundantly present in tissues of healthy individuals, including the breast epithelium. Yet it remains unknown whether mutant cells directly induce lesion formation or first spread, leading to a field of mutant cells that is predisposed towards lesion formation. To study the clonal and spatial relationships between morphologically normal breast epithelium adjacent to pre-cancerous lesions, we developed a three-dimensional (3D) imaging pipeline combined with spatially resolved genomics on archival, formalin-fixed breast tissue with the non-obligate breast cancer precursor ductal carcinoma in situ (DCIS). Using this 3D image-guided characterization method, we built high-resolution spatial maps of DNA copy number aberration (CNA) profiles within the DCIS lesion and the surrounding normal mammary ducts. We show that the local heterogeneity within a DCIS lesion is limited. However, by mapping the CNA profiles back onto the 3D reconstructed ductal subtree, we find that in eight out of 16 cases the healthy epithelium adjacent to the DCIS lesions has overlapping structural variations with the CNA profile of the DCIS. Together, our study indicates that pre-malignant breast transformations frequently develop within mutant clonal fields of morphologically normal-looking ducts. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Abstract LB240: Cell type annotation using singleR with custom reference for single-nucleus multiome data derived from frozen human breast tumors

Abstract Single-nucleus joint ATAC- and RNA-sequencing (snMultiome) can be used to identify functionally divergent cell subpopulations based on their transcriptomic and epigenetic profiles within complex samples. Accurate cell type annotation is critical to successful snMultiome data analysis. Several computational methods have been developed for automatic annotation. Traditional cell type annotation methods initially cluster cells using unsupervised learning methods based on the gene expression profiles, then label the clusters using aggregated cluster-level expression profiles and marker genes. These methods rely heavily on the clustering results. As the purity of clusters cannot be guaranteed, false detection of cluster features may lead to incorrect annotations. Further, canonical cell surface markers may not always be suitable to be applied in single-nucleus RNA-seq studies because single-nucleus RNA-seq generally yields lower detected transcript numbers compared to typical single-cell RNA-seq. Moreover, cell type marker genes in the snRNA-seq data may differ from the ones obtained with scRNA-seq data, reflecting biological differences in the cytoplasmic and nuclear RNA pools. Lastly, the data obtained from malignant cells are best left out in establishing cell type reference data because they are too heterogeneous and patient-specific. Reference-based automated algorithms such as SingleR enable quick and unbiased classifications by leveraging a collection of built-in reference data sets for human (e.g. Human Primary Cell Atlas (microarray-based) and the combined Blueprint Epigenomics and Encode data set (RNA-seq-based)). Still, SingleR may return erroneous cell type classifications. Our dataset was generated using the 10x Genomics snMultiome platform to yield 296,557 nuclei from 82 frozen breast tumors, representing patients from diverse genetic ancestral background. Using these data, we sought to improve the accuracy of cell type annotation by SingleR. To achieve this, we first separated malignant and non-malignant cells based on DNA copy number aberrations (aneuploidy) through CopyKAT. For cells determined to be non-malignant, we built the custom reference from snRNA-seq data set, recently made available by The Human Breast Cell Atlas, and then applied singleR with a custom reference where each cell type is represented by single-cells of that type, allowing a well-founded estimate of the confidence with which a cell type call can be made. Using this approach, we successfully identified 11 distinct cell types for non-malignant cells, including fibroblast, adipocyte, pericyte, basal, luminal-secretory, luminal-HR, myeloid, mast, vascular, lymphatic, and T-cells, which can then be further subclassified. Furthermore, we interrogated each cluster using known canonical markers and transferred the cell type labels to snATAC-seq. This approach enabled us to link peaks to genes in each cell type. We believe this new approach that refines SingleR can greatly improve accuracy and minimize misclassification when annotating cell types in breast tumors using snMultiome data. Citation Format: Huaitian Liu, Alexandra Harris, Brittany Jenkins-Lord, Tiffany H. Dorsey, Francis Makokha, Shahin Sayed, Gretchen Gierach, Stefan Ambs. Cell type annotation using singleR with custom reference for single-nucleus multiome data derived from frozen human breast tumors [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 LB240.

DNA variants detected in primary and metastatic lung adenocarcinoma: a case report and review of the literature.

Non-small cell lung cancer (NSCLC) has been found to have recurrent genetic abnormalities, and novel therapies targeting these aberrations have improved patient survival. In this study, specimens from benign tissue, primary tumors, and brain metastases were obtained at autopsy from a 55-year-old White female patient diagnosed with NSCLC and were examined using next-generation sequencing (NGS) and chromosomal microarray assay (CMA). No genetic aberrations were noted in the benign tissue; however, NGS identified a mutation in the KRAS proto-oncogene, GTPase (KRAS): KRAS exon 2 p.G12D in primary and metastatic tumor specimens. We observed 7 DNA copy number aberrations (CNAs) in primary and metastatic tumor specimens; an additional 7 CNAs were exclusively detected in the metastatic tumor specimens. These DNA alterations may be genetic drivers in the pathogenesis of the tumor specimen from our patient and may serve as biomarkers for the classification and prognosis of NSCLC.

Abstract P13: Genetic and epigenetic characterization of B-cell chronic lymphocytic leukemia with IG::BCL3-translocation provides evidence for a distinct biological entity

Abstract IG translocations occur in various B-cell neoplasms and result in the deregulation of (onco)genes due to their juxtaposition with regulatory elements in the immunoglobulin loci, predominantly the immunoglobulin heavy chain (IGH) locus (14q32). Some of these IGH translocations are pathognomonic for distinct disease entities, like those involving MYC, BCL2 or CCND1 in Burkitt, Follicular or Mantle Cell Lymphomas, respectively. In Chronic Lymphocytic Leukemia (CLL), the BCL3 gene (19q13), a transcriptional coactivator of the nuclear factor-kappaB (NF-κB) family, is a known partner gene in these translocations. Two subsets of IG::BCL3 translocation-positive B-cell neoplasms have been described that exhibit differences in chromosomal aberrations, IGHV mutation status, and histopathology [Martín-Subero et al. 2007]. In CLL, IG::BCL3 translocation is linked to a younger age at diagnosis, a more aggressive clinical course, and an atypical tumor cell phenotype [Michaux et al. 1997; Au et al. 2002]. A total of 89 B-cell neoplasms, primarily diagnosed as CLL, displaying IG::BCL3 translocation detected by fluorescence in situ hybridization (FISH), were examined. Analysis of DNA methylation and copy number aberrations (CNA) was conducted for 86 IGH::BCL3-translocated B-cell neoplasms using 850K EPIC BeadChip array data. Evaluation of chromosomal aberrations typical for CLL was moreover performed by FISH and the IGHV mutation status was determined. IGH::BCL3 breakpoint junctions were sequenced in 23 samples using targeted capture and whole-genome sequencing approaches. RNA expression of BCL3 was assessed using the HTG mRNA pan B-cell panel. In UMAP analysis of DNA methylation, CLLs with IG::BCL3 translocation exhibited segregation from other CLLs, irrespective of IGH translocations. Supervised analysis revealed global hypomethylation of B-cell neoplasms with IG::BCL3 translocation compared to other CLL. A total of 66/69 CLLs with IG::BCL3 translocation showed an unmutated IGHV status (96%). Copy number determination using BeadChip data (n=86) and FISH analysis (n=85) showed a significantly higher incidence of trisomy 12 in IG::BCL3-translocated cases compared to the general CLL population (p=0.011). Breakpoint sequencing indicated IG::BCL3 junctions to be recurrently associated with aberrant class-switch recombination at the IGH locus, involving IGHA (n=11/23), IGHG (n=5/23) and IGHM segments (n=5/23). Breakpoints at the BCL3 locus displayed two groups. 80 cases (all CLL) were located upstream of BCL3 and two other B-cell neoplasms (NHL, DLBCL) were located downstream of BCL3. BCL3 expression analysis in 15 IG::BCL3-translocated CLLs confirmed its transcriptional upregulation compared to the general CLL population. Our genetic and epigenetic analyses support the view that CLL with IG::BCL3 translocation may constitute a genetically and epigenetically distinct subtype of B-cell neoplasms, diverging from the typical CLL. Citation Format: Cosima Drewes, Cristina López, Nnamdi Okeke, Sina Hillebrecht, Petra Schütz, Anja Fischer, Anja Mottok, Susanne Bens, Christof Schneider, Stephan Stilgenbauer, Eugen Tausch, Reiner Siebert. Genetic and epigenetic characterization of B-cell chronic lymphocytic leukemia with IG::BCL3-translocation provides evidence for a distinct biological entity [abstract]. In: Proceedings of the Blood Cancer Discovery Symposium; 2024 Mar 4-6; Boston, MA. Philadelphia (PA): AACR; Blood Cancer Discov 2024;5(2_Suppl):Abstract nr P13.

ScAbsolute: measuring single-cell ploidy and replication status

Cancer cells often exhibit DNA copy number aberrations and can vary widely in their ploidy. Correct estimation of the ploidy of single-cell genomes is paramount for downstream analysis. Based only on single-cell DNA sequencing information, scAbsolute achieves accurate and unbiased measurement of single-cell ploidy and replication status, including whole-genome duplications. We demonstrate scAbsolute’s capabilities using experimental cell multiplets, a FUCCI cell cycle expression system, and a benchmark against state-of-the-art methods. scAbsolute provides a robust foundation for single-cell DNA sequencing analysis across different technologies and has the potential to enable improvements in a number of downstream analyses.

Abstract A036: The genetic landscape of head and neck cancer using brush biopsy

Abstract Oral potentially malignant disorders (OPMDs) are characterized by the presence of dysplasia and DNA copy number aberrations (CNAs) and subsequently progress to oral squamous cell carcinoma (OSCC). OSCC has a 5-year survival rate of only about 50% and varies greatly depending on site and stage. The combination of next-generation sequencing and advanced computational data analysis approaches has revolutionized our understanding of the genomic underpinnings of cancer development and progression. This can reveal individual targetable alterations, mutational load, complex mutation signatures, and tumor-specific antigens, which might inform the utilization of targeted therapies and early diagnosis. Oral brush biopsy represents an attractive non-invasive advantage in the characterization of premalignant and malignant oral lesions. Still, a sufficient number of abnormal cells is mandatory to diagnose. The current study tested the possibility of recreating the genomic landscape of oral cancer using brush biopsy. Materials and methods: As a pilot study to address this question, we analyzed matched tissue and brush biopsy of a patient with synchronous OPMD and OSCC. Brush and tissue biopsy was taken from normal epithelium, OPMD, and OSCC. We scrutinized the evolution and heterogeneity of these three brush/tissue biopsy pairs. The techniques used include whole exome sequencing (WES), mutational signature analysis to evaluate smoking and other aberrant signatures, copy number analysis (using ASCAT), and subclonal architecture reconstruction (using DPclust). Results: To analyze intra-tumoral heterogeneity (ITH), ASCAT and DPclust were used to call copy number aberrations (CNA) and cluster somatic SNVs based on cancer cell fraction (CCF), respectively. We observed a large number of shared SNVs between the OPMD and OSCC lesions suggesting a common evolutionary origin. After adjusting the ploidy and purity based on DPClust results, ASCAT profiles revealed differences in aberrant tumor cell fraction, gains and loss of heterozygosity, and copy number neutral events between the samples. It showed almost similar profiles between the respective lesions' brush and tissue samples, suggesting that brush biopsy can recapitulate the genomic landscape. The OPMD and OSCC lesions showed loss of heterozygosity in chromosome 9 and chromosome 17, which play a potential role in tumorigenesis with loss of function of P53. We inferred the subclonal architecture of each sample, illuminating the clonal relationships between samples and distinct lineages of precursor clones developing independently. Conclusion: Collectively, these results emphasize the possibility of using brush biopsy to reconstruct the genomic characterization of OPMD and OSCC show prognostic potential for diagnosis and intervention strategies, and accelerate progress in precision cancer care. Citation Format: Evit John, Tom Lesluyes, Xiao Zhao, Peter Van Loo. The genetic landscape of head and neck cancer using brush biopsy [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Translating Cancer Evolution and Data Science: The Next Frontier; 2023 Dec 3-6; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(3 Suppl_2):Abstract nr A036.

A Gradual Transition Toward Anaplasia in Wilms Tumor Through Tolerance to Genetic Damage

Patients with Wilms tumor (WT) in general have excellent survival, but the prognosis of patients belonging to the subgroup of WT with diffuse anaplasia (DA) is poor due to frequent resistance to chemotherapy. We hypothesized that DA WT cells might undergo changes, such as acquiring a persistent tolerance to DNA damage and copy number aberrations (CNAs), which could eventually lead to their resistance to chemotherapy treatment. Tissue sections from chemotherapy-treated DA WTs (n = 12) were compared with chemotherapy-treated nonanaplastic WTs (n = 15) in a tissue microarray system, enabling analysis of 769 tumor regions. All regions were scored for anaplastic features and immunohistochemistry was used to quantify p53 expression, proliferation index (Ki67), and DNA double-strand breaks (γH2AX). CNAs were assessed by array-based genotyping and TP53 mutations using targeted sequencing. Proliferation index and the frequency of DNA double-strand breaks (γH2AX dot expression) increased with higher anaplasia scores. Almost all (95.6%) areas with full-scale anaplasia had TP53 mutations or loss of heterozygosity, along with an increased amount of CNAs. Interestingly, areas with wild-type TP53 with loss of heterozygosity and only one feature of anaplasia (anaplasia score 1) also had significantly higher proliferation indices, more DNA double-strand breaks, and more CNAs than regions without any anaplastic features (score 0); such areas may be preanaplastic cell populations under selective pressure for TP53 mutations. In conclusion, we suggest that chemoresistance of DA WTs may be partly explained by a high proliferative capability of anaplastic cells, which also have a high burden of double-stranded DNA breaks and CNAs, and that there is a gradual emergence of anaplasia in WT.

Abstract PO-015: The genetic landscape of head and neck cancer using brush biopsy

Abstract Oral potentially malignant disorders (OPMDs) are characterized by the presence of dysplasia and DNA copy number aberrations (CNAs) and subsequently progress to oral squamous cell carcinoma (OSCC). OSCC has a 5-year survival rate of only about 50% and varies greatly depending on site and stage. The combination of next-generation sequencing and advanced computational data analysis approaches has revolutionized our understanding of the genomic underpinnings of cancer development and progression. This can reveal individual targetable alterations, mutational load, complex mutation signatures, and tumor-specific antigens, which might inform the utilization of targeted therapies and early diagnosis. Oral brush biopsy represents an attractive non-invasive advantage in the characterization of premalignant and malignant oral lesions. Still, a sufficient number of abnormal cells is mandatory to diagnose. The current study tested the possibility of recreating the genomic landscape of oral cancer using brush biopsy. Materials and methods: As a pilot study to address this question, we analyzed matched tissue and brush biopsy of a patient with synchronous OPMD and OSCC. Brush and tissue biopsy was taken from normal epithelium, OPMD, and OSCC. We scrutinized the evolution and heterogeneity of these three brush/tissue biopsy pairs. The techniques used include whole exome sequencing (WES), mutational signature analysis to evaluate smoking and other aberrant signatures, copy number analysis (using ASCAT), and subclonal architecture reconstruction (using DPclust). Results: To analyze intra-tumoral heterogeneity (ITH), ASCAT and DPclust were used to call copy number aberrations (CNA) and cluster somatic SNVs based on cancer cell fraction (CCF), respectively. We observed a large number of shared SNVs between the OPMD and OSCC lesions suggesting a common evolutionary origin. After adjusting the ploidy and purity based on DPClust results, ASCAT profiles revealed differences in aberrant tumor cell fraction, gains and loss of heterozygosity, and copy number neutral events between the samples. It showed almost similar profiles between the respective lesions' brush and tissue samples, suggesting that brush biopsy can recapitulate the genomic landscape. The OPMD and OSCC lesions showed loss of heterozygosity in chromosome 9 and chromosome 17, which play a potential role in tumorigenesis with loss of function of P53. We inferred the subclonal architecture of each sample, illuminating the clonal relationships between samples and distinct lineages of precursor clones developing independently. Conclusion: Collectively, these results emphasize the possibility of using brush biopsy to reconstruct the genomic characterization of OPMD and OSCC and show prognostic potential for diagnosis and intervention strategies and accelerate progress in precision cancer care. Citation Format: Evit John, Tom Lesluyes, Toby Baker, Xiao Zhao, Peter Van Loo. The genetic landscape of head and neck cancer using brush biopsy [abstract]. In: Proceedings of the AACR-AHNS Head and Neck Cancer Conference: Innovating through Basic, Clinical, and Translational Research; 2023 Jul 7-8; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2023;29(18_Suppl):Abstract nr PO-015.

Mutations of BRCA1, BRCA2, and PALB2 Genes in Breast Tumor Tissue: Relationship with the Effectiveness of Neoadjuvant Chemotherapy and Disease Prognosis.

The study included 66 patients with breast cancer. DNA copy number aberrations (CNA) were assessed by high-density CytoScanHD™ Array micro matrix analysis. Gene mutations were assessed by sequencing on the MiSeq™ Sequencing System using the Accel-Amplicon BRCA1, BRCA2, and PALB2 Panel. It has been established that the presence of a normal copy number of PALB2 is associated with a lack of response to chemotherapy in Taxotere-containing treatment regimens (p = 0.05). In addition, the presence of a PALB2 deletion is associated with 100% metastatic survival rates (log-rank test p = 0.04). As a result of sequencing, 25 mutations were found in the BRCA1 gene, 42 mutations in BRCA2, and 27 mutations in the PALB2 gene. The effect of mutations on the effectiveness of treatment is controversial, but an effect on the survival of patients with breast cancer has been shown. So, in the presence of pathogenic mutations in the BRCA2 gene, 100% metastatic survival is observed (log-rank test p = 0.05), as well as in the elimination of PALB2 mutations during treatment (log-rank test p = 0.07). Currently, there is little data on the effect of chromosomal aberrations and mutations in the BRCA1/2 and PALB2 genes on the effectiveness of treatment and prognosis of the disease. At the same time, the study of these genes has great potential for testing focused on a personalized approach to the treatment of patients with breast cancer.

Abstract B046: Multimodal biomarkers that predict the presence of Gleason pattern 4: Potential impact for active surveillance

Abstract Purpose: Latent Grade Group (GG) ≥2 prostate cancer can impact the performance of active surveillance (AS) protocols. To date, molecular biomarkers for AS have relied solely on RNA or protein. We trained and independently validated multimodal (mRNA abundance, DNA methylation, and DNA copy number) biomarkers that more accurately separate GG1 from GG≥2 cancers. Materials and Methods: Low- and intermediate-risk prostate cancer patients were assigned to training (n=333) and validation (n=202) cohorts. We profiled the abundance of 342 mRNAs, 100 DNA copy number aberration (CNA) loci and 14 hypermethylation sites at two locations per tumor. Using the training cohort with cross- validation, we evaluated methods for training classifiers of pathologic GG≥2 in centrally reviewed radical prostectomies (RPs). We trained two distinct classifiers, PRONTO-e and PRONTO-m, and validated them in an independent RP cohort. Results: PRONTO-e comprises 353 mRNA and CNA features. PRONTO-m includes 94 clinical, mRNAs, CNAs and methylation features at 14 and 12 loci, respectively. In independent validation, PRONTO-e and PRONTO-m predicted GG≥2 with respective true positive rates of 0.81 and 0.76, false positive rates of 0.43 and 0.26. Both classifiers were resistant to sampling error and identified more upgraded men than a well-validated pre-surgical risk calculator, CAPRA (p <0.001). Conclusions: Two GG classifiers with superior accuracy were developed by incorporating RNA and DNA features and validated in an independent cohort. Upon further validation in biopsy samples, classifiers with these performance characteristics could refine selection of men for AS, extending their treatment-free survival and intervals between surveillance. Citation Format: Anna Y. Lee, David M. Berman, Robert Lesurf, Palak G. Patel, Walead Ebrahimizadeh, Jane Bayani, Laura A. Lee, Nadia Boufaied, Shamini Selvarajah, Tamara Jamaspishvili, Karl-Philippe Guérard, Dan Dion, Atsunari Kawashima, Gina M. Clarke, Nathan How, Chelsea L. Jackson, Eleonora Scarlata, Khurram Siddiqui, John B.A. Okello, Armen G. Aprikian, Madeleine Moussa, Antonio Finelli, Joseph Chin, Fadi Brimo, Glenn Bauman, Andrew Loblaw, Vasundara Venkateswaran, Ralph Buttyan, Simone Chevalier, Axel Thomson, Paul C. Park, D. Robert Siemens, Jacques Lapointe, Paul C. Boutros, John M.S. Bartlett. Multimodal biomarkers that predict the presence of Gleason pattern 4: Potential impact for active surveillance [abstract]. In: Proceedings of the AACR Special Conference: Advances in Prostate Cancer Research; 2023 Mar 15-18; Denver, Colorado. Philadelphia (PA): AACR; Cancer Res 2023;83(11 Suppl):Abstract nr B046.

Determination of BRCAness Phenotype in Breast Tumors for the Appointment of Neoadjuvant Chemotherapy Based on Platinum and Taxanes

The concept of BRCAness was developed because of similarities between sporadic and hereditary breast cancer. BRCAness defines the pathogenesis and treatment sensitivity of many types of cancer, as well as the presence of a defect in the homologous recombination repair of tumor cells simulating the loss of BRCA1 or BRCA2, as in the presence of germline mutations. The question of treatment effectiveness for BRCA-like tumors is controversial and open. Thus, the aim of this work was to study the effectiveness of neoadjuvant chemotherapy (NAC) in BRCA-deficient breast cancer patients without germline mutations. The study involved 130 patients with breast cancer in stages IIA-IIIB. The treatment regimen included neoadjuvant chemotherapy, surgery, and adjuvant chemotherapy. The materials used were tumor samples from before and after chemotherapy. DNA and RNA were isolated from the tumor material. RNA was used to assess the expression level of BRCA1, while DNA was used for methyl-sensitive PCR. A microarray analysis was performed on high-density DNA chips from an Affymetrix CytoScanTM HD Array to assess DNA copy number aberration (CNA status) and loss of heterozygosity. A statistical analysis was performed using the Statistica 8.0 application package. It was noted that the existence of copy number aberrations in genes was statistically significantly associated with tumor treatment response and disease prognosis. Patients with partial regression had a statistically significantly higher amount of deletion than patients without an objective response (5/25 patients; 16%), as shown in the general sample of patients (52.9% versus 27.1%, respectively) at p = 0.0001 and in patients treated with anthracycline-containing regimen (p = 0.0001). In addition, it was shown that patients with BRCA1 deletion had higher rates of metastatic-free survival (log rank test, p = 0.009). BRCAness patients had a higher rate of 5-year metastatic survival, but not of treatment efficacy. The prospective study showed the positive effect of assessing the BRCAness phenotype of a tumor before treatment and of prescribing personalized NAC regimens. The objective response rate was statistically significantly more often observed in the group of patients with personalized chemotherapy (85.0% (34/40 patients) versus 62.3% (56/90 patients); p = 0.007). Despite the controversial effectiveness of BRCA-like tumor treatment, our data showed high predictive and prognostic significance of the BRCAness phenotype for the personalization of platinum and taxane regimens.

Abstract A004: Molecular adenoma features to predict metachronous colorectal cancer risk: A nested-case control study

Abstract Introduction: In colorectal cancer (CRC) surveillance, adenoma characteristics such as size, number of adenomas, dysplasia, and villous components, are used as indicators for risk of developing metachronous cancer and guide the surveillance interval. The current risk groups (e.g., advanced adenomas) cannot optimally distinguish high risk from low risk, which may result in suboptimal surveillance strategies. Specific DNA copy number aberrations are associated with risk of colorectal adenoma-to-carcinoma progression, but these aberrations are present in only a subset of advanced adenomas. Therefore, we hypothesize that specific DNA copy number aberrations may better predict the risk of CRC than advanced adenoma. Aim: To evaluate whether a molecularly-defined high-risk adenoma is a better risk factor for CRC than the presently used advanced adenoma. Materials and methods: DNA copy number profiles were determined, by means of low-coverage whole genome sequencing, on a series of 529 adenomas, selected from a Norwegian adenoma cohort. We retrieved detailed information on adenoma characteristics and whether adenoma patients were subsequently diagnosed with CRC or not. By univariate and multivariate regression analysis we estimated the odds ratio for association between the development of CRC and baseline presence of advanced adenoma versus presence of a molecularly-defined high-risk adenoma, respectively. Results: Molecular high-risk features were observed in 85/267 (32%) of advanced adenomas and in 27/262 (10%) of non-advanced adenomas. The odds ratio for developing metachronous CRC was 3.58 (p=2.84E-8) and 1.90 (p=0.012), when an advanced adenoma or molecular high-risk adenoma was detected at the baseline colonoscopy, respectively. In the multivariate regression analysis only advanced adenoma was as a significant risk factor for CRC. Conclusion: Molecularly-defined high-risk adenomas are associated with an increased risk of CRC. However, the advanced adenoma is a stronger predictor for risk of CRC. Citation Format: Henriette C. Jodal, Eddymurphy U. Akwiwu, Leticia G. Leon, Margriet Lemmens, Pien Delis-van Diemen, Dagmar Klotz, Meike de Wit, Remond Fijneman, Monique van Leerdam, Evelien Dekker, Manon C. W. Spaander, Gerrit A. Meijer, Michael Bretthauer, Magnus Løberg, Veerle M. H. Coupé, Mette Kalager, Beatriz Carvalho. Molecular adenoma features to predict metachronous colorectal cancer risk: A nested-case control study [abstract]. In: Proceedings of the AACR Special Conference on Colorectal Cancer; 2022 Oct 1-4; Portland, OR. Philadelphia (PA): AACR; Cancer Res 2022;82(23 Suppl_1):Abstract nr A004.

The AGMK1-9T7 cell model of neoplasia: Evolution of DNA copy-number aberrations and miRNA expression during transition from normal to metastatic cancer cells.

To study neoplasia in tissue culture, cell lines representing the evolution of normal cells to tumor cells are needed. To produce such cells, we developed the AGMK1-9T7 cell line, established cell banks at 10-passage intervals, and characterized their biological properties. Here we examine the evolution of chromosomal DNA copy-number aberrations and miRNA expression in this cell line from passage 1 to the acquisition of a tumorigenic phenotype at passage 40. We demonstrated the use of a human microarray platform for DNA copy-number profiling of AGMK1-9T7 cells using knowledge of synteny to ‘recode’ data from human chromosome coordinates to those of the African green monkey. This approach revealed the accumulation of DNA copy-number gains and losses in AGMK1-9T7 cells from passage 3 to passage 40, which spans the period in which neoplastic transformation occurred. These alterations occurred in the sequences of genes regulating DNA copy-number imbalance of several genes that regulate endothelial cell angiogenesis, survival, migration, and proliferation. Regarding miRNA expression, 195 miRNAs were up- or down-regulated at passage 1 at levels that appear to be biologically relevant (i.e., log2 fold change >2.0 (q<0.05)). At passage 10, the number of up/down-regulated miRNAs fell to 63; this number increased to 93 at passage 40. Principal-component analysis grouped these miRNAs into 3 clusters; miRNAs in sub-clusters of these groups could be correlated with initiation, promotion, and progression, stages that have been described for neoplastic development. Thirty-four of the AGMK1-9T7 miRNAs have been associated with these stages in human cancer. Based on these data, we propose that the evolution of AGMK1-9T7 cells represents a detailed model of neoplasia in vitro.

119P Characterisation of distinct subgroups of BRCA1-like triple-negative breast cancers with multiomics data analysis

Patients with triple-negative breast cancer (TNBC) that have a BRCA1-like phenotype - a specific pattern of DNA copy number aberrations similar to that of BRCA1-mutated tumours - benefit significantly from intensified platinum-based chemotherapy (IPB-chemo) compared to those without. To further molecularly characterise BRCA1-like TNBC tumours, we set out a multiomics analysis making use of published data sets. We made use of 3 clinical data sets (TCGA, RATHER, MATADOR). Sparse generalised canonical correlation analysis and logistic regression were performed on the multiomics data sets to identify features most strongly correlated with BRCA1-like status. Next, to characterise the subgroups, differential gene expression, active-subnetwork-oriented pathway enrichment analyses and cell type deconvolution of the bulk tissue mRNA-seq data were performed. We identified n = 84/1097, 62/126 and 46/495 BRCA1-like TNBCs in the TCGA, RATHER and MATADOR cohorts respectively. Two subgroups of BRCA1-like TNBCs were discerned that are characterised by a more or less profound copy-number loss on chromosome 5q. Deconvolution analyses revealed that BRCA1-like tumours with less 5q loss (n=65/130) are associated with higher tumour-infiltrating lymphocyte levels (p=0.001) and higher immune cell type percentages (p=0.006). This BRCA1-like subgroup was characterised by a gene expression profile that strongly associates with a number of cell-mediated immunity related pathways, such as the PD-L1/PD-1 pathway (p<0.001) and natural killer cell mediated cytotoxicity (p<0.001). By analysing multiomics data from n = 192 patients with BRCA1-like triple-negative breast cancer, we found indications for the presence of distinct subgroups of which one has immunomodulatory features. How these BRCA1-like, TNBC subgroups may direct immunotherapy strategies will be addressed in follow-up studies.

The diagnostic utility of DNA copy number analysis of core needle biopsies from soft tissue and bone tumors

AbstractMorphologic and immunohistochemical analysis of preoperative core needle biopsies (CNB) is important in the management of patients with soft tissue and bone tumors (STBTs). Most SBTB subtypes have more or less extensive DNA copy number aberrations (CNA), potentially providing useful diagnostic information. To evaluate the technical feasibility of single nucleotide polymorphism (SNP) array analysis and the diagnostic usefulness of the copy number profiles, we studied CNBs from 171 patients with suspected STBTs. SNP array analysis could be performed on 168 (98%) of the samples. The CNA profile was compatible with the CNB diagnosis in 87% of the cases. Discrepant cases were dominated by false-negative results due to nonrepresentative material or contamination with normal cells. 70 genomic profiles were indicative of specific histopathologic tumor entities and in agreement with the corresponding CNB diagnoses in 83%. In 96 of the cases with aberrant CNA profiles, the SNP profiles were of sufficient quality for segmentation, allowing clustering analysis on the basis of the Jaccard similarity index. The analysis of these segment files showed three major CNA clusters, based on the complexity levels and the predominance of gains versus losses. For 43 of these CNB samples, we had SNP array data also from their corresponding surgical samples. In 33 of these pairs, the two corresponding samples clustered next to each other, with Jaccard scores ranging from 0.61 to 0.99 (median 0.96). Also, for those tumor pairs that did not cluster together, the Jaccard scores were relatively high (median 0.9). 10 cases showed discrepant results, mainly due to varying degrees of normal cell contamination or technical issues. Thus, the copy number profile seen in a CNB is typically highly representative of the major cell population in the tumor.

A computational framework to unify orthogonal information in DNA methylation and copy number aberrations in cell-free DNA for early cancer detection.

Cell-free DNA (cfDNA) provides a convenient diagnosis avenue for noninvasive cancer detection. The current methods are focused on identifying circulating tumor DNA (ctDNA)s genomic aberrations, e.g. mutations, copy number aberrations (CNAs) or methylation changes. In this study, we report a new computational method that unifies two orthogonal pieces of information, namely methylation and CNAs, derived from whole-genome bisulfite sequencing (WGBS) data to quantify low tumor content in cfDNA. It implements a Bayes model to enrich ctDNA from WGBS data based on hypomethylation haplotypes, and subsequently, models CNAs for cancer detection. We generated WGBS data in a total of 262 samples, including high-depth (>20×, deduped high mapping quality reads) data in 76 samples with matched triplets (tumor, adjacent normal and cfDNA) and low-depth (~2.5×, deduped high mapping quality reads) data in 186 samples. We identified a total of 54Mb regions of hypomethylation haplotypes for model building, a vast majority of which are not covered in the HumanMethylation450 arrays. We showed that our model is able to substantially enrich ctDNA reads (tens of folds), with clearly elevated CNAs that faithfully match the CNAs in the paired tumor samples. In the 19 hepatocellular carcinoma cfDNA samples, the estimated enrichment is as high as 16 fold, and in the simulation data, it can achieve over 30-fold enrichment for a ctDNA level of 0.5% with a sequencing depth of 600×. We also found that these hypomethylation regions are also shared among many cancer types, thus demonstrating the potential of our framework for pancancer early detection.

DNA Copy Number Aberrations and Expression of ABC Transporter Genes in Breast Tumour: Correlation with the Effect of Neoadjuvant Chemotherapy and Prognosis of the Disease

One of the important reasons for the ineffectiveness of chemotherapy in breast cancer (BC) is considered to be the formation of a multidrug resistance phenotype in tumour cells, which is caused by the expression of energy-dependent ABC transporters. The aim of this work was to assess chromosomal aberrations and the level of transcripts of all 49 known ABC transporter genes in breast tumours. Materials and Methods. The study included 129 patients with breast cancer. A microarray study of all tumour samples was carried out on microchips. Results. This study established that the presence of a deletion in genes ABCB1, ABCB4, ABCB8, ABCC7, ABCC11, ABCC12, ABCF2, and ABCG4 is associated with an objective response to treatment (p ≤ 0.05). A decrease in the expression of genes was associated with a good response to chemotherapy, whereas an increase in expression caused the progression and stabilization of the tumour. Analysis of metastatic-free survival rates showed that the presence of ABCB1/4 and ABCC1/6 deletions was associated with 100% survival (log-rank test p = 0.01 and p = 0.03). Conclusions. The study showed that the aberrant state of ABC transporter genes, as well as a decrease in the expression of these genes, is a predictor of the effectiveness of therapeutic treatment and a potential prognostic marker of metastatic survival.

From DNA Copy Number Gains and Tumor Dependencies to Novel Therapeutic Targets for High-Risk Neuroblastoma.

Neuroblastoma is a pediatric tumor arising from the sympatho-adrenal lineage and a worldwide leading cause of childhood cancer-related deaths. About half of high-risk patients die from the disease while survivors suffer from multiple therapy-related side-effects. While neuroblastomas present with a low mutational burden, focal and large segmental DNA copy number aberrations are highly recurrent and associated with poor survival. It can be assumed that the affected chromosomal regions contain critical genes implicated in neuroblastoma biology and behavior. More specifically, evidence has emerged that several of these genes are implicated in tumor dependencies thus potentially providing novel therapeutic entry points. In this review, we briefly review the current status of recurrent DNA copy number aberrations in neuroblastoma and provide an overview of the genes affected by these genomic variants for which a direct role in neuroblastoma has been established. Several of these genes are implicated in networks that positively regulate MYCN expression or stability as well as cell cycle control and apoptosis. Finally, we summarize alternative approaches to identify and prioritize candidate copy-number driven dependency genes for neuroblastoma offering novel therapeutic opportunities.

1. The value of genomic profiling in CNS tumors

In the current era of personalized medicine, genomic profiling of central nervous system (CNS) tumors has gained much attention in the recent years in an effort to improve outcomes and provide targeted therapies. Despite many advances in cancer treatment, CNS tumors remain difficult to treat based on their suboptimal response to conventional therapies. In addition, they often lead to neurocognitive deficits necessitating a novel approach to both management and treatment of these tumors. Moreover, advances of genomic technologies, the current WHO (2016) reclassification of CNS tumors based on combination of molecular and histological data, and the knowledge that chromosomal aberrations drive tumorigenesis have all led to an increase in the value of genomic profiling in these tumors (including DNA copy number aberrations, structural chromosomal rearrangements and single nucleotide variants). In this presentation, we will discuss several cases of pediatric and adult CNS tumors (high grade gliomas, meningiomas, and embryonal tumors) in which genomic profiling provided improved classification, prognosis, as well as treatment options.

Multimodal biomarkers overcome sampling bias to predict presence of aggressive localized prostate cancer.

209 Background: Histopathologic investigation of diagnostic prostate biopsies both confirms the presence of disease and estimates its potential for distal spread via tumour grade. The accuracy of biopsy grading is limited by intra-tumoral heterogeneity, inter-observer variability, and other factors. To improve risk stratification at the time of diagnosis, we sought to create objective molecular biomarkers of radical prostatectomy grade that are resistant to sampling error and should be useful when applied to biopsy tissue. Methods: We developed and validated a robust objective biomarker of prostate cancer grade using pathologic grading of prostatectomy tissues as the gold standard. We created training (333 patients) and validation (202 patients) cohorts of Cancer of the Prostate Risk Assessment (CAPRA) low- and intermediate-risk prostate cancer patients. To address intra-tumoral heterogeneity, each tumor was sampled at two locations. We profiled the abundance of 342 mRNAs complemented by 100 canonical DNA copy number aberration loci (CNAs) and 14 hypermethylation events. Using the training cohort with cross-validation, we evaluated models for training classifiers of pathologic Grade Group ≥2, Restricting to strategies resulting in true negative rates ≥0.5, true positive (TP) rates ≥0.8, we selected two strategies to train classifiers, PRONTO-e and PRONTO-m. Results: The PRONTO-e classifier comprises 353 mRNA and CNA features, while the PRONTO-m classifier comprises 94 mRNA, CNA, methylation and clinical features. Both classifiers (PRONTO-e, PRONTO-m) validated in the independent cohort, with respective TP rates of 0.809 and 0.760, false positive rates of 0.429 and 0.262, F1 scores of 0.709 and 0.724, and AUCs of 0.792 and 0.818. Conclusions: Two classifiers were developed and validated in separate cohorts, each achieved excellent performance by integrating different types of molecular data. Implementation of classifiers with these performance characteristics could markedly improve current active surveillance approaches without increasing patient morbidity and may help better inform patients on their individual need for definitive therapy versus active surveillance.