Complex Genomic Alterations Research Articles

DNA Mutational and Copy Number Variation Profiling of Primary Craniofacial Osteosarcomas by Next-Generation Sequencing.

Craniofacial osteosarcomas (CFOS) are uncommon malignant neoplasms of the head and neck with different clinical presentation, biological behavior and prognosis from conventional osteosarcomas of long bones. Very limited genetic data have been published on CFOS. In the current study, we performed comprehensive genomic studies in 15 cases of high-grade CFOS by SNP array and targeted next generation sequencing. Our study shows high-grade CFOS demonstrate highly complex and heterogenous genomic alterations and harbor frequently mutated tumor suppressor genes TP53, CDKN2A/B, and PTEN, similar to conventional osteosarcomas. Potentially actionable gene amplifications involving CCNE1, AKT2, MET, NTRK1, PDGFRA, KDR, KIT, MAP3K14, FGFR1, and AURKA were seen in 43% of cases. GNAS hotspot activating mutations were also identified in a subset of CFOS cases, with one case representing malignant transformation from fibrous dysplasia, suggesting a role for GNAS mutation in the development of CFOS. High-grade CFOS demonstrate highly complex and heterogenous genomic alterations, with amplification involving receptor tyrosine kinase genes, and frequent mutations involving tumor suppressor genes.

Abstract LB226: Deciphering lung adenocarcinoma evolution and the role of LINE-1 retrotransposition

Abstract Lung cancer is the leading cause of cancer-related mortality worldwide. Understanding lung cancer evolutionary dynamics can help identify tools to intercept its growth and suggest strategies for treatment. Multiple factors can impact the tumors’ natural history and distinctly affect growth rate. However, research on the evolutionary trajectories of lung cancer across demographic or exposure scenarios remains inadequate. Additionally, the roles of mutational processes and complex genomic alterations on the evolution of lung cancer are still largely unexplored. In the largest genomic study of lung cancer to date, we analyzed deep whole-genome sequencing (~ 81x) and other omics data of 1217 lung cancers from the Sherlock-Lung study. To ensure adequate statistical power for identifying subclone architectures and constructing lung cancer evolutionary histories, we utilized a metric known as NRPCC (number of reads per tumor chromosomal copy) to select 542 lung adenocarcinoma (LUAD) samples for clonal evolution analyses, including 186 and 181 samples from never-smoker subjects of European and Asian ancestry, respectively, and 121 samples from smokers of European ancestry. We found that major driver genes and exogenous mutations contribute to tumor initiation, while copy number gains and endogenous processes appear later in tumor evolution. Tumors harboring EGFR mutations in never-smoker females of European descent show long latency, while tumors with KRAS mutations have shorter latency regardless of ancestry and sex. Notably, tumors harboring the mutational signature ID2 have short latency and aggressive phenotype, accompanied by increased genomic instability, elevated hypoxia scores, high CpG methylator phenotype, low neoantigen burden, and propensity to develop metastasis. We show that LINE-1 retrotransposition-induced mutagenesis contributes to the origin of ID2 mutations. The transcriptional factor ZNF695, a member of the KZFP family, up-regulated in LUAD, appears to contribute to LINE-1 retrotransposition through a dominant-negative effect and LINE-1 promoter demethylation. In a multivariate analysis of genomics, exposures and demographic factors, LUAD latency was most significantly associated with ID2, followed by EGFR mutations, KRAS mutations, and sex, suggesting an independent impact of these factors on LUAD evolution. Our findings underscore the complex interplay of ancestry, sex, exogenous mutagenesis, epigenetic regulation, and LINE-1 retrotransposition in shaping LUAD evolutionary trajectories, paving the way for potential targeted therapeutic interventions. Citation Format: Tongwu Zhang, Wei Zhao, Christopher Wirth, Marcos Díaz-Gay, Jinhu Yin, Phuc H. Hoang, Jian Sang, John McElderry, Alyssa Klein, Azhar Khandekar, Caleb Hartman, Jennifer Rosenbaum, Frank Colon-Matos, Kristine M. Jones, Neil E. Caporaso, Robert Homer, Angela C. Pesatori, Dario Consonni, Lixing Yang, Bin Zhu, Jianxin Shi, Kevin Brown, Nathaniel Rothman, Stephen J. Chanock, Ludmil B. Alexandrov, Jiyeon Choi, Maurizio Cardelli, Qing Lan, Martin A. Nowak, David C. Wedge, Maria Teresa Landi. Deciphering lung adenocarcinoma evolution and the role of LINE-1 retrotransposition [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 LB226.

Abstract 6247: Comprehensive characterization of cancers with epithelial mesenchymal transition phenotype through long-read sequencing

Abstract Introduction: Pancreatic ductal adenocarcinoma (PDAC) and linitis-plastica type gastric cancer (STAD) are the most representative refractory cancers even in the era of molecularly targeted therapy and immunotherapy. Extensive characterization of these tumors, especially regarding the genomic and epigenomic characteristics of pure cancer cells, has been hampered by the high stromal content in the primary tumor samples. Here we took advantage of cancer cells purified from malignant ascites and established corresponding cell lines to overcome the limitations associated with the analysis and to discover their vulnerabilities. Methods: We developed cell lines from malignant ascitic fluid samples obtained from 60 patients with PDAC and 59 patients with linitis-plastica type STAD. We performed comprehensive multi-omic analyses of these cell lines using long-read whole-genome sequencing (WGS) for complex somatic genomic alterations and for methylation aberration. We also conducted long-read RNA sequencing (iso-seq) for full-length isoform exploration, and chromatin immunoprecipitation coupled with sequencing (ChIP-seq) for enhancer analysis. Complementary short-read whole-genome sequencing and RNA sequencing were also performed. Results: Comprehensive transcriptome analyses identified a cluster with high epithelial-mesenchymal transition (EMT) characteristics, consisting of the majority of the PDAC cell lines and a half of the STAD cell lines. ChIP-seq analysis against H3K27ac revealed the distinct transcriptional circuit that generated EMT cluster-specific super-enhancers governed by SMAD3, independent of cancer type. Most of the transcriptional activity was controlled by the gene methylation. We also identified the differential expression levels of the splicing factors between the EMT-activated and the non-activated groups. Comprehensive isoform analysis by iso-seq revealed that the isoform usage was completely different between the EMT group and the other, especially in genes of the actomyosin pathway which confer characteristic features of the EMT cluster in the cell morphology and cell motility. Using the CHM13 reference genome, long-read WGS analyses revealed the recurrent structural alterations specific to the EMT group such as those involving CDKN2A. We also identified PDAC-specific structural alterations. Conclusion: We identified the distinct molecular characteristics of the EMT-activated group in PDAC and linitis-plastica type STAD which may confer the therapeutic resistance. Our findings provide an interesting insight for the further innovation of the treatment strategy for these intractable cancers. Citation Format: Yosuke Tanaka, Hiroyuki Mano. Comprehensive characterization of cancers with epithelial mesenchymal transition phenotype through long-read sequencing [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 6247.

Abstract 1759: Integrative longitudinal genomic analysis of therapy-resistant and metastatic pediatric cancers

Abstract Pediatric cancer patients are commonly profiled with gene-panel sequencing tests that yield few actionable results, in part due to the complex genomic alterations that define these malignancies. We hypothesized that integration of whole-genome (WGS) and RNA sequencing (RNAseq), would lead to a more comprehensive understanding of these diseases. Our study is uniquely focused on metastatic and relapsed disease, whereas previous studies focused on primary cases. We also prioritized longitudinal profiling, including with deep sequencing, to capture tumor evolution across primary and metastatic sites and to quantify the utility of resampling. We assembled a cohort of 219 high-risk pediatric oncology patients, including solid tumors, CNS tumors, leukemias/lymphomas, patients with relapsed/refractory disease (75), metastatic disease at diagnosis (7), rare diagnoses (17), prior cancer history, and estimated overall survival <50%. We characterized 286 samples with WGS (tumor ~60X; germline ~30X) and/or RNAseq (polyA selected, ≥20 million reads), including 95 samples taken from 44 patients at different time points (diagnosis, relapse, etc.). Variants, structural rearrangements, mutational signatures, and copy-number alterations were identified using WGS. RNAseq was used to profile gene expression outliers, gene fusions, and expression of variants. Integrated results were used to prioritize potentially actionable variants. For 20 patients (44 samples), we performed targeted deep sequencing of the DNA (~500X). RNAseq identified potentially druggable outlier gene expression and fusions, including 102 novel fusions where the 3’ gene is overexpressed. WGS identified aneuploidy, loss of heterozygosity and whole genome duplication across histotypes. Mutational burden and mutational signatures analyses identified profound effects from platinum drugs on tumor evolution, but treatment effects were not universal. Multiple sampling per patient uncovered drastic spatial and temporal differences in the genomes and transcriptomes of these tumors. Custom deep sequencing confirmed these findings, captured evolution missed by WGS, and furthered our understanding of the complex impacts of treatment on clonal evolution. Histotypes differed by whether actionability was higher for WGS or RNAseq alone, but in 66% of samples modality integration increased actionability. Integration also identified a subset of tumors that may be amenable to immunotherapy, but which lack canonical markers of response. Longitudinal analysis highlighted both the opportunities and risks of targeted therapy, with targetable variants gained and lost between timepoints. Our study shows that integrated multi-modality sequencing can elucidate novel insights into the biology of pediatric cancers and identify potential therapeutic targets not detected using gene-panel testing alone. Citation Format: Henry J. Martell, Avanthi T. Shah, Alex G. Lee, Stanley G. Leung, Soo-Jin Cho, María Pons Ventura, Ana Golla, Amanda E. Marinoff, Elizabeth P. Young, Bogdan Tanasa, Inge Behroozfard, Heng-Yi Liu, Aviv Spillinger, Michelle L. Turski, Nicole Elzie-Tuttle, Carlos Espinosa-Mendez, Arun Rangaswami, Tabitha M. Cooney, Cassie Kline, Anurag Agrawal, Jennifer Michlisch, Elliot Stieglitz, Mignon Loh, Amit J. Sabnis, Kieuhoa T. Vo, Sheri Spunt, Norman Lacayo, Holly C. Beal, Florette K. Hazard, Sophie Salama, David Haussler, Olena M. Vaske, Marcus R. Breese, E. Alejandro Sweet-Cordero. Integrative longitudinal genomic analysis of therapy-resistant and metastatic pediatric cancers [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 1759.

Detection of mosaic and population-level structural variants with Sniffles2

Calling structural variations (SVs) is technically challenging, but using long reads remains the most accurate way to identify complex genomic alterations. Here we present Sniffles2, which improves over current methods by implementing a repeat aware clustering coupled with a fast consensus sequence and coverage-adaptive filtering. Sniffles2 is 11.8 times faster and 29% more accurate than state-of-the-art SV callers across different coverages (5–50×), sequencing technologies (ONT and HiFi) and SV types. Furthermore, Sniffles2 solves the problem of family-level to population-level SV calling to produce fully genotyped VCF files. Across 11 probands, we accurately identified causative SVs around MECP2, including highly complex alleles with three overlapping SVs. Sniffles2 also enables the detection of mosaic SVs in bulk long-read data. As a result, we identified multiple mosaic SVs in brain tissue from a patient with multiple system atrophy. The identified SV showed a remarkable diversity within the cingulate cortex, impacting both genes involved in neuron function and repetitive elements.

Genomic alterations in blast phase of BCR::ABL1-negative myeloproliferative neoplasms.

The blast phase of BCR::ABL1-negative myeloproliferative neoplasm (MPN-BP) represents the final stage of the disease, which is complicated by complex genomic alterations. These alterations result from sequence changes in genetic material (DNA, RNA) and can lead to either a gain or loss of function of encoded proteins, such as adaptor proteins, enzymes, components of spliceosomes, cell cycle checkpoints regulators, transcription factors, or proteins in cell signaling pathways. Interference at various levels, including transcription, translation, and post-translational modification (such as methylation, dephosphorylation, or acetylation), can contribute to these alterations. Mutated genes such as ASXL1, EZH2, IDH1, IDH2, TET2, SRSF2, U2AF1, TP53, NRAS, KRAS, PTPN11, SH2B3/LNK, and RUNX1 play active roles at different stages of genetic material expression, modification, and protein function manipulation in MPNs. These mutations are also correlated with, and can contribute to, the progression of MPN-BP. In this review, we summarize their common mutational profiles, functions, and associations with progression of MPN-BP.

Novel HNRNPM::LEUTX fusion resulting from chromothripsis of chromosome 19 in a pediatric undifferentiated small round cell neoplasm.

Small round cell neoplasms comprise a diverse group of tumors characterized by a primitive/undifferentiated appearance. Although several entities are associated with recurrent gene fusions, many of these neoplasms have not been fully characterized, and novel molecular alterations are being discovered. Here, we report an undifferentiated small round cell neoplasm arising in the anterior mediastinum of a 17-month-old female. The tumor harbored a novel HNRNPM::LEUTX fusion resulting from chromothripsis of chromosome 19, which was identified by whole transcriptome sequencing, but not by targeted sequencing. The structural variations caused by the chromothripsis event also challenged the interpretation of the targeted sequencing findings. This report expands the spectrum of gene partners involved in LEUTX fusions and underscores the value of whole transcriptome sequencing in the diagnostic workup of undifferentiated small round cell tumors. It also highlights the interpretive challenges associated with complex genomic alterations. A careful evidence-based analysis of sequencing data along with histopathologic correlation is essential to ensure correct categorization of fusions.

Anaplastic Kaposi Sarcoma: A Clinicopathologic and Molecular Genetic Analysis

Kaposi sarcoma (KS) is a human herpesvirus 8 (HHV8)-associated vascular proliferation that most often involves the skin. Rarely, KS shows marked nuclear atypia or pleomorphism; such examples are known as “anaplastic” KS. This poorly characterized variant often pursues an aggressive course; little is known of its genetic landscape. This study evaluated the clinicopathologic and genomic features of anaplastic KS. We identified 9 anaplastic KS cases from 7 patients and 8 conventional KS cases, including a matched conventional KS and primary metastasis anaplastic KS pair from a single patient (anaplastic KS diagnosed 9 years after conventional KS). All patients with anaplastic KS were men, aged 51 to 82 years, who had locally aggressive tumors predominantly affecting the soft tissue and bone of the lower extremities (5/7 patients). Four patients were known to be HIV positive (all on antiretrovirals), 2 were HIV negative, and 1 was of unknown HIV status. The tumors showed angiosarcoma-like or pleomorphic spindle cell sarcoma morphology. Plasma cell–rich chronic inflammation and hemosiderin deposition were commonly present. Single-nucleotide polymorphism–based chromosomal microarray analysis showed the anaplastic KS cohort to demonstrate highly recurrent whole chromosome (chr) gains of chr 7, 11, 19, and 21, which primarily affected olfactory and G protein–coupled receptor signaling and losses of chr6_q and chrY. Compared with conventional KS, anaplastic KS cases showed significantly more total copy number alterations and more frequent gains of chr7 and chr11_q13.1 (MARK2, RELA, and ESRRA, including high copy number gain in 1 case). Pathway analysis demonstrated that these gains preferentially affected genes that facilitate cyclin-dependent cell signaling. Furthermore, anaplastic KS cases were phylogenetically distinct from conventional KS cases, including the patient-matched primary metastasis anaplastic KS pair and conventional KS. Our study is the first to demonstrate that a more complex genome and distinct copy number alterations distinguish anaplastic KS from conventional KS. Gains of chr7 and chr11_q13.1 appear central to biological transformation.

Abstract 1509: Longitudinal profiling of high-risk pediatric malignancies using a multiomics approach

Abstract For many pediatric cancer patients, commonly used gene-panel sequencing tests yield few actionable results, partly due to the complex genomic alterations present. We hypothesized that an unbiased approach, combining whole-genome (WGS) and RNA sequencing (RNAseq), could overcome this and lead to a more comprehensive understanding of these diseases. While prior studies have evaluated WGS and RNAseq in pediatric cancers, few focused primarily on metastatic or relapsed disease. We also placed special focus on longitudinal profiling of patients, including with additional deep sequencing, to capture tumor evolution at the primary and metastatic sites, and to quantify the utility of resampling. We assembled a cohort of 191 high-risk pediatric oncology patients, including solid tumors, CNS tumors, and leukemias/lymphomas. We have representation of patients with relapsed/refractory disease (68), metastatic disease at diagnosis (10), rare diagnoses (19), prior cancer history, and estimated overall survival <50%. We characterized 280 samples with WGS (tumor ~60X; germline ~30X) and/or RNAseq (tumor, polyA selected, ≥20 million reads), including multiple samples taken from 85 patients at different time points (diagnosis, resection, relapse, etc.). Variants (SNVs), structural rearrangements (SVs), mutational signatures, and copy-number alterations (CNAs) were identified using WGS. RNAseq was used to profile gene expression outliers, gene fusions, and expression of variants identified by WGS. The integrated results were used to prioritize potentially actionable variants for each patient. For 20 patients (44 samples), we performed targeted deep sequencing of the DNA (~500X) to profile tumor evolution that cannot be captured by WGS. Multiple sampling from the same patient identified drastic spatial and temporal differences in the genomes and transcriptomes of these tumors. Using the Jaccard index as a measure of concordance between samples shows dynamic changes between samples collected at different time points across multiple modalities (range 0-1, 1 is identical); SNVs ranged from 0.01-0.79, SVs 0.01-0.73, major CNAs 0.07-0.99, minor CNAs 0.38-0.99, up expression outliers 0.12-0.56, down expression outliers 0.04-0.54, and fusions 0-1. Potentially biologically significant differences in therapy-induced mutations by platinum agents were also observed, highlighting the impact of therapy on tumor evolution. Clonal architectures were extracted from deep resequencing and show extensive spatial, temporal, and metastatic heterogeneity in these rare and highly aggressive malignancies that is not captured by WGS alone. Identifying clinically relevant evolution remains a challenge in most patients, but our results suggest that resampling of pediatric tumors at relapse or metastasis will be important for the effectiveness of targeted therapies in the future. Citation Format: Henry J. Martell, Avanthi T. Shah, Alex G. Lee, Bogdan Tanasa, Stanley G. Leung, Aviv Spillinger, Heng-Yi Liu, Inge Behroozfard, Phuong Dinh, María V. Pons Ventura, Florette K. Hazard, Arun Rangaswami, Sheri L. Spunt, Norman J. Lacayo, Tabitha Cooney, Jennifer G. Michlitsch, Anurag K. Agrawal, Marcus R. Breese, Alejandro Sweet-Cordero. Longitudinal profiling of high-risk pediatric malignancies using a multiomics approach [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1509.

Endometrial Carcinomas With Subclonal Loss of Mismatch Repair Proteins: A Clinicopathologic and Genomic Study.

Subclonal loss of mismatch repair (MMR) proteins has been described in a small subset of endometrial carcinomas (ECs), but the genomic basis for this phenomenon has received limited attention. Herein, we retrospectively evaluated all ECs with MMR immunohistochemistry (n=285) for subclonal loss, and in those (n=6), performed a detailed clinicopathologic and genomic comparison of the MMR-deficient and MMR-proficient components. Three tumors were FIGO stage IA, and one each stage IB, II, and IIIC2. Patterns of subclonal loss were as follows: (1) 3 FIGO grade 1 endometrioid carcinomas with subclonal MLH1/PMS2, MLH1 promoter hypermethylation, and no MMR gene mutations; (2) POLE -mutated FIGO grade 3 endometrioid carcinoma with subclonal PMS2, and PMS2 and MSH6 mutations limited to the MMR-deficient component; (3) dedifferentiated carcinoma with subclonal MSH2/MSH6, as well as complete loss of MLH1/PMS2, MLH1 promoter hypermethylation, and PMS2 and MSH6 mutations in both components; (4) dedifferentiated carcinoma with subclonal MSH6, and somatic and germline MSH6 mutations in both components, but with a higher allele frequency in MMR-deficient foci. Recurrences occurred in 2 patients, one consisted of the MMR-proficient component from a FIGO 1 endometrioid carcinoma, while the other was from the MSH6 -mutated dedifferentiated endometrioid carcinoma. At the last follow-up (median: 44mo), 4 patients were alive and disease-free and 2 were alive with disease. In summary, subclonal MMR loss reflects subclonal and often complex genomic and epigenetic alterations, which may have therapeutic implications and therefore must be reported when present. In addition, subclonal loss can occur in both POLE -mutated and Lynch syndrome-associated ECs.

SWI/SNF Complex Genomic Alterations as a Predictive Biomarker for Response to Immune Checkpoint Inhibitors in Multiple Cancers.

Whether there is an association between SWI/SNF genomic alterations in tumors and response to immune checkpoint inhibitors (ICI) remains unclear because prior studies have focused on either an individual gene or a predefined set of genes. Herein, using mutational and clinical data from 832 ICI-treated patients who underwent whole-exome sequencing, including sequencing of all 31 genes of the SWI/SNF complex, we found that SWI/SNF complex alterations were associated with significantly improved overall survival (OS) in melanoma, clear-cell renal cell carcinoma, and gastrointestinal cancer, as well as improved progression-free survival (PFS) in non-small cell lung cancer. Including tumor mutational burden as a variable, the multivariate Cox regression analysis showed SWI/SNF genomic alterations had prognostic value in melanoma [HR, 0.63 (95% confidence interval, CI, 0.47-0.85), P = 0.003], clear-cell renal cell carcinoma [HR, 0.62 (95% CI, 0.46-0.85), P = 0.003], and gastrointestinal cancer [HR, 0.42 (95% CI, 0.18-1.01), P = 0.053]. Furthermore, we used the random forest method for variable screening, identifying 14 genes as a SWI/SNF signature for potential clinical application. Significant correlations were observed between SWI/SNF signature alterations and improved OS and PFS in all cohorts. This suggests that SWI/SNF gene alterations are associated with better clinical outcomes in ICI-treated patients and may serve as a predictive marker for ICI therapy in multiple cancers.

Machine learning algorithm-generated and multi-center validated melanoma prognostic signature with inspiration for treatment management.

Although immunotherapy and targeted treatments have dramatically improved the survival of melanoma patients, the intra- or intertumoral heterogeneity and drug resistance have hindered the further expansion of clinical benefits. The 96 combination frames constructed by ten machine learning algorithms identified a prognostic consensus signature based on 1002 melanoma samples from nine independent cohorts. Clinical features and 26 published signatures were employed to compare the predictive performance of our model. A machine learning-based prognostic signature (MLPS) with the highest average C-index was developed via 96 algorithm combinations. The MLPS has a stable and excellent predictive performance for overall survival, superior to common clinical traits and 26 collected signatures. The low MLPS group with a better prognosis had significantly enriched immune-related pathways, tending to be an immune-hot phenotype and possessing potential immunotherapeutic responses to anti-PD-1, anti-CTLA-4, and MAGE-A3. On the contrary, the high MLPS group with more complex genomic alterations and poorer prognoses is more sensitive to the BRAF inhibitor dabrafenib, confirmed in patients with BRAF mutations. MLPS could independently and stably predict the prognosis of melanoma, considered a promising biomarker to identify patients suitable for immunotherapy and those with BRAF mutations who would benefit from dabrafenib.

Abstract 54: Integrative analysis of whole-genome and RNA sequencing in high-risk pediatric malignancies

Abstract The use of sequencing-based assays for clinical management of pediatric cancer patients has become increasingly common. However, for many pediatric patients, gene panel based sequencing tests yield few actionable results. Given the complex genomic alterations present in many pediatric cancers, especially high-risk solid tumors, we hypothesized that an unbiased approach might reveal more actionable findings and lead to a more comprehensive understanding of these diseases. To accomplish this, we integrated whole-genome sequencing (WGS) with RNAseq in the analysis of a pediatric oncology cohort, with a focus on longitudinal cases to capture potential tumor evolution in metastatic or treated cases. Our cohort consists of 269 high-risk pediatric oncology patients, including patients with relapsed/refractory disease, metastatic disease at diagnosis, prior cancer history, a rare diagnosis, or an estimated overall survival <50%. Solid tumors, CNS tumors, and leukemia/lymphomas are all represented. In total, 391 samples were characterized using WGS (tumor ~60X; germline ~30X) and/or RNAseq (tumor, polyA selected, ≥20 million reads). For 85 of these patients, multiple samples were collected at different time points (diagnosis, resection, relapse, etc.) to identify changes in the cancer over time. If panel testing was performed as part of their clinical care, a comparison to the integrated WGS/RNA analysis was made. WGS was used to identify variants (SNVs), structural rearrangements (SVs), mutational signatures, and copy-number alterations (CNAs). RNAseq was used to identify gene expression outliers, gene fusions, and confirm the expression of variants identified using WGS. The combination of WGS and RNAseq was then used to identify and prioritize potentially actionable variants for each patient. Our results show that the integration of WGS and RNAseq can provide more and higher-quality actionable information than either modality alone, whilst also capturing the majority of actionable variants detected by panel sequencing. RNAseq identified not only druggable fusions and expression outliers, but also many rare and novel fusions. WGS provided fusion validation but highlighted the limitations of WGS alone in identifying fusions resulting from complex SVs. Conversely, WGS was adept at capturing genome-wide patterns of CNAs and loss of heterozygosity that are missed by gene-centric panels. Further RNAseq integration enabled prioritization of expressed SNVs as well as CNAs and SVs that significantly alter gene expression. We also used WGS to extract mutational signatures and tracked their evolution across longitudinal samples. We found potentially biologically significant differences in therapy-induced mutations caused by platinum and alkylating agents. Our unbiased approach has enabled further discovery that advances our understanding of these rare and highly aggressive malignancies. Citation Format: Henry J. Martell, Avanthi Tayi Shah, Alex G. Lee, Bogdan Tanasa, Stanley G. Leung, Aviv Spillinger, Heng-Yi Liu, Inge Behroozfard, Phuong Dinh, Maria V. Pons Ventura, Florette K. Hazard, Arun Rangaswami, Sheri L. Spunt, Norman J. Lacayo, Tabitha Cooney, Jennifer G. Michlitsch, Anurag K. Agrawal, Marcus R. Breese, E. Alejandro Sweet-Cordero. Integrative analysis of whole-genome and RNA sequencing in high-risk pediatric malignancies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 54.

PATH-12. A new powerful tool to simultaneously deliver DNA methylation profile and driver fusions detection based on Nanopore Sequencing

Abstract The fast advances in molecular biology have led to the discovery of new genetic and epigenetic driver events that play a key role in the pathogenesis of central nervous system (CNS) tumors. These data showed the importance of molecular biology, and in particular methylation profiling and fusion detection, to complete the histological examination. Exploring all these complex genomic and epigenomic alterations with the technologies implemented in the routine diagnosis requires massive laboratory equipment. In addition, it could take weeks before getting data that could be important to adapt the diagnosis, prognosis, and to ultimately guide the treatment’s choice. We describe the innovative potential of a nanopore sequencing device to obtain fast and multiple information to characterize CNS tumors. Adaptive-sampling is a software-controlled enrichment unique method that allows simultaneous methylation profiling, copy number landscape assessment, and fusion gene detection. Thereby, this technology brings comprehensive molecular information that could be very important for CNS tumor classification in a very short delay (below one week) and with a relative low cost compared to the combined other molecular analysis needed to get the same information. We report ten cases of diverse CNS tumors with already known oncogenic structural variants such as YAP1-MAMLD1 fused ependymoma, CNS neuroblastoma with FOXR2 activation, CNS high-grade neuroepithelial tumor with BCOR and MEN1 alteration, and atypical teratoid rhabdoid tumors (ATRT). For these tumors, using adaptive sampling with the nanopore sequencing, we were able to detect fusion genes as driver events, while obtaining at the same time the methylation profile to corroborate the tumor classification. Our results with this combined approach, never described before, demonstrate its feasibility as a new extremely powerful tool and show remarkable perspectives for this technology to bring a fast and comprehensive tumor molecular characterization.

Dynamic expression of SNAI2 in prostate cancer predicts tumor progression and drug sensitivity.

Prostate cancer is a highly heterogeneous disease, understanding the crosstalk between complex genomic and epigenomic alterations will aid in developing targeted therapeutics. We demonstrate that, even though snail family transcriptional repressor 2 (SNAI2) is frequently amplified in prostate cancer, it is epigenetically silenced in this disease, with dynamic changes in SNAI2 levels showing distinct clinical relevance. Integrative clinical data from 18 prostate cancer cohorts and experimental evidence showed that gene fusion between transmembrane serine protease 2 (TMPRSS2) and ETS transcription factor ERG (ERG) (TMPRSS2–ERG fusion) is involved in the silencing of SNAI2. We created a silencer score to evaluate epigenetic repression of SNAI2, which can be reversed by treatment with DNA methyltransferase inhibitors and histone deacetylase inhibitors. Silencing of SNAI2 facilitated tumor cell proliferation and luminal differentiation. Furthermore, SNAI2 has a major influence on the tumor microenvironment by reactivating tumor stroma and creating an immunosuppressive microenvironment in prostate cancer. Importantly, SNAI2 expression levels in part determine sensitivity to the cancer drugs dasatinib and panobinostat. For the first time, we defined the distinct clinical relevance of SNAI2 expression at different disease stages. We elucidated how epigenetic silencing of SNAI2 controls the dynamic changes of SNAI2 expression that are essential for tumor initiation and progression and discovered that restoring SNAI2 expression by treatment with panobinostat enhances dasatinib sensitivity, indicating a new therapeutic strategy for prostate cancer.

Histology transformation-mediated pathological atypism in small-cell lung cancer within the presence of chemotherapy: A case report

BACKGROUNDThe treatment of small-cell lung cancer (SCLC) has progressed little in recent years because of its unique biological activities and complex genomic alterations. Chemotherapy combined with radiotherapy has been widely accepted as the first-line treatment for SCLC.CASE SUMMARYHere, we present a 68-year-old male smoker who was diagnosed with SCLC of the right lung. After several cycles of concurrent chemoradiotherapy, the tumor progressed with broad metastasis to liver and bone. Histopathological examination showed an obvious transformation to adenocarcinoma, probably a partial recurrence mediated by the chemotherapy-based regimen. A mixed tumor as the primary lesion and transformation from SCLC or/and tumor stem cells may have accounted for the pathology conversion. We adjusted the treatment schedule in accord with the change in phenotype.CONCLUSIONAlthough diffuse skeletal and hepatic metastases were seen on a recent computed tomography scan, the patient is alive, with intervals of progression and shrinkage of his cancer.

Molecular Characterization Using Oncoscan Chromosome Microarray in an International Cohort of 51 Patients with Blastic Plasmacytoid Dendritic Cell Neoplasm (BPDCN)

IntroductionBlastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare and aggressive hematological malignancy with multi-organ and frequent skin involvement, and poor clinical outcomes. Based on the limited available data, the estimated incidence is 0.44% of all hematologic malignancies, representing less than 1% of acute leukemias, and 0.7% of cutaneous lymphomas. Due to the rarity of this entity, there have been relatively few studies characterizing the molecular profile of BPDCN. We examined a cohort of 51 patients with BPDCN using OncoScan chromosome microarray, which provides genome-wide copy number abnormality (CNA) analysis.MethodsAn international cohort of BPDCN cases were collected from centers in Brazil (Laboratorio de Patologia, Botucatu), Swtizerland (University of Zurich), France (Hospital St. Louis, Paris), Peru (Instituto Nacional de Enfermedades Neoplasicas, Lima), Canada (Department of Pathology, University of Montreal), Italy (Derpartment of Pathology, University of Bologna), and US (Department of Pathology - The Ohio State University, Department of Hematopathology - MD Anderson Cancer Center; and Department of Pathology - University of Virginia). A total of 58 tissue blocks from 51 patient samples were retrieved. The diagnosis of BPDCN was done and confirmed by at least three independent hematopathologists or dermatopathologists in accordance with the WHO classification (Lyon 2017). For the purpose of the molecular analysis substratification, cases were classified as ‘BPDCN’ if they were positive for TCF4, and ‘BPDCN-like’ if they were negative for TCF4. Immunohistochemistry for CD123, CD4, and CD56 was performed in all cases. Exclusion criteria included expression of MPO, lysozyme, CD3, CD19, CD20, CD22, and/or EBV.DNA was extracted from FFPE samples via standard techniques and processed on OncoScan CNV Plus microarray (ThermoFisher Scientific) according to manufacturer's recommended protocol. Copy number abnormalities and select single nucleotide variants and insertions/deletions (74 mutations in 9 genes) were analyzed on Chromosome Analysis Suite software (ChAS v4.1; ThermoFisher Scientific). Additional analysis was performed using Nexus Copy Number (BioDiscovery, version 10.0).ResultsTo date, we have successfully analyzed 45 cases of BPDCN with Oncoscan, revealing widespread CNA in the vast majority of cases (44/45; 98%). Alterations of chromosome 9 were common in this cohort, particularly CNAs involving CDKN2A/B at 9p21.3. Twenty-five cases (56%) demonstrated CNA including CDKN2A/B, with ten of these cases demonstrating a homozygous loss of CDKN2A/B (22%). Alterations of chromosome 13 were also frequently detected with loss of RB1 (located at 13q14.2) detected in 24 cases (53%). The RUNX1 gene (21q22.12) was a common target of CNAs in this cohort, seen in nine cases (20%). Eight of these cases showed a copy number gain of RUNX1, which is a recurrent finding in a variety of hematological malignancies, particularly myeloid neoplasms. The remaining case with RUNX1 CNA showed a focal, homozygous loss of the gene, demonstrating that dysregulation of RUNX1 through CNA is a common event in BPDCN. We observed frequent deletions of ETV6 (53%), IKZF1 (33%), and TP53(16%) in our cohort. The ARHGAP26 gene (5q31.3), which is associated primarily with juvenile myelomonocytic leukemia, was included in CNA in 13 cases (29%), with both gains and losses observed in this cohort. Oncoscan can detect a limited number of single nucleotide variants in nine genes that are frequently mutated in cancers (BRAF, EGFR, IDH1, IDH2, KRAS, NRAS, PIK3CA, PTEN, and TP53). Mutations were detected in ten cases (22%), with NRAS and TP53 variants detected in three cases each and KRAS and IDH2 variants detected in two cases each.ConclusionsOur preliminary data demonstrates complex genomic alterations in BPDCN, with the RB1 locus on chromosome 13, the CDKN2A/B locus on chromosome 9, and the ETV6 locus on chromosome 12 most commonly detected. However, widespread genomic alterations were detected involving a variety of cancer-associated genes further characterizing CNA in BPDCN. Analysis of additional BPDCN cases is progress. DisclosuresKhoury: Kiromic: Research Funding; Angle: Research Funding; Stemline Therapeutics: Research Funding. Porcu: Viracta: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Innate Pharma: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BeiGene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Incyte: Research Funding; Daiichi: Honoraria, Research Funding; Kiowa: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Spectrum: Consultancy; DrenBio: Consultancy. Gru: StemLine: Honoraria, Research Funding, Speakers Bureau; CRISPT Therapeutics: Research Funding; Innate Pharma: Research Funding.

Karyosequencing: Integrating Genome-Wide and Targeted Sequencing for Comprehensive Diagnosis of Lymphoproliferative Disorders

Introduction: Molecular diagnostic testing for lymphoproliferative disorders (LPDs) includes detection of clonal immunoglobulin (IG) and/or T cell receptor (TCR) rearrangements, translocations, copy number alterations (CNA) and somatic mutations. To date, laboratories still rely on subjective and labour-intensive technologies, e.g. karyotyping/FISH to detect complex genomic alterations. Whole Genome Sequencing (WGS) can detect all genomic alterations, but factors such as cost, computation/storage, DNA requirements and poor detection of clinically relevant subclonal mutations limits the routine implementation of WGS in clinical diagnostics. We have developed “KaryoSequencing” (KS), a novel approach that combines targeted deep-sequencing, using a targeted hybridisation capture NGS panel, for rare mutation and translocation detection with shallow WGS (sWGS) for genome wide copy number analysis, in a single test.Methods: KS was validated using 138 clinical samples from patients with acute lymphoblastic leukaemia (ALL) (n=46), chronic lymphocytic leukaemia (CLL) (n=46) and plasma cell myeloma (PCM) (n=46) samples from 3 UK laboratories. Samples underwent library preparation and hybridisation using the EuroClonality-NDC assay. A KS library for each sample was prepared by combining the pre-capture and post-capture libraries at an optimised ratio to enable high coverage (>500 x) at regions covered by the targeted panel while providing 0.5-1x coverage genome-wide. Forty-six KS libraries were pooled and sequenced per NovaSeq 6000 run, using a 200-cycle SP flow cell and a 100bp paired-end strategy. For analysis of targeted regions, somatic mutation calling was performed using VarDict and structural variants (rearrangements and translocations) were detected using ARResT/Interrogate. For analysis of large chromosomal copy number variation using sWGS, a modified version of QDNASeq/ACE with a window size of 50kb was performed. For sWGS analysis, bioinformatic exclusion of all target capture regions and panel-specific off-target regions was performed using a panel of 48 DNA samples from healthy individuals ran on the same KS protocol.Results:Analysis of genome-wide copy number by sWGS was concordant in 477 of 503 (95%) evaluable FISH tests, including precise detection of hyper and hypo-diploidy and other complex karyotypes. The performance of the targeted deep-sequencing component of the KS approach was assessed to ensure comparable performance to previously validated results for the EuroClonality-NDC. The EuroClonality-NDC detected a clonal IG rearrangement in 46/46 (100%) CLL cases and in 42/46 (91.3%) PCM cases. Clonality was detected in 43/46 (93.5%) and 44/46 (95.7%) cases at an IG and TCR locus respectively in ALL, a disease entity known to exhibit cross-lineage rearrangements. Overall, 44 translocations were detected in the 138 samples by the EuroClonality-NDC. FISH results were available for 32 of the 44 translocations detected by NGS and were concordant in 29/32 (91%). In two PCM samples NGS and FISH reported a different translocation; in the ALL sample, the FISH pattern showed an additional copy but not a split signal. Across the entire cohort of 138 samples, KaryoSequencing detected 190 mutations with a variant allele frequency ranging from 4.0 - 97.6%. Of the detected mutations, 69/190 (36.3%) had a VAF <20% which can be difficult to detect reliably with typical coverage depths observed with conventional WGS. The most frequently mutated genes were KRAS [30.4%], NRAS [13.0%], KMT2D [10.9%] in ALL; SF3B1 [23.9%], NOTCH1 [19.6%], ATM [15.2%] and TP53[13.0%] in CLL and KRAS [19.6%], NRAS [15.2%] and TP53 [10.9%] in PCM, consistent with expected frequencies in each entity.Conclusions:KaryoSequencing demonstrated >95% sensitivity and specificity for detection of gross genome-wide copy number alterations while retaining the analytical performance for detection of rearrangements, translocations, and mutations for the lymphoid-specific targeted regions of the EuroClonality-NDC assay. KS is a cost-effective and high-throughput integrated alternative to current diagnostic strategies in haematological malignancies and can be implemented in routine clinical practice. DisclosuresJenner: Janssen: Consultancy, Honoraria, Speakers Bureau; Pfizer: Consultancy; Takeda: Consultancy; BMS/Celgene: Consultancy, Honoraria, Speakers Bureau. Gonzalez: Univ8 Genomics Ltd: Current holder of individual stocks in a privately-held company.

The Generic Risks and the Potential of SDN-1 Applications in Crop Plants.

The use of site-directed nucleases (SDNs) in crop plants to alter market-oriented traits is expanding rapidly. At the same time, there is an on-going debate around the safety and regulation of crops altered with the site-directed nuclease 1 (SDN-1) technology. SDN-1 applications can be used to induce a variety of genetic alterations ranging from fairly ‘simple’ genetic alterations to complex changes in plant genomes using, for example, multiplexing approaches. The resulting plants can contain modified alleles and associated traits, which are either known or unknown in conventionally bred plants. The European Commission recently published a study on new genomic techniques suggesting an adaption of the current GMO legislation by emphasizing that targeted mutagenesis techniques can produce genomic alterations that can also be obtained by natural mutations or conventional breeding techniques. This review highlights the need for a case-specific risk assessment of crop plants derived from SDN-1 applications considering both the characteristics of the product and the process to ensure a high level of protection of human and animal health and the environment. The published literature on so-called market-oriented traits in crop plants altered with SDN-1 applications is analyzed here to determine the types of SDN-1 application in plants, and to reflect upon the complexity and the naturalness of such products. Furthermore, it demonstrates the potential of SDN-1 applications to induce complex alterations in plant genomes that are relevant to generic SDN-associated risks. In summary, it was found that nearly half of plants with so-called market-oriented traits contain complex genomic alterations induced by SDN-1 applications, which may also pose new types of risks. It further underscores the need for data on both the process and the end-product for a case-by-case risk assessment of plants derived from SDN-1 applications.

Genomic Analysis Revealed Mutational Traits Associated with Clinical Outcomes in Osteosarcoma.

ObjectiveThe limited understanding of correlation between genomic features and biological behaviors has impeded the therapeutic breakthrough in osteosarcoma (OS). This study aimed to reveal the correlation of mutational and evolutionary traits with clinical outcomes.MethodsWe applied a case-based targeted and whole exome sequencing of eleven matched primary, recurrent and metastatic samples from three OS patients characterized by different clinical behaviors in local recurrence or systematic progression pattern.ResultsExtensive OS-associated driver genes were detected including TP53, RB1, NF1, PTEN, SPEN, CDKN2A. Oncogenic signaling pathways including cell cycle, TP53, MYC, Notch, WNT, RTK-RAS and PI3K were determined. MYC amplification was observed in the patient with shortest disease-free interval. Linear, branched or mixed evolutionary models were constructed in the three OS cases. A branched evolution with limited root mutation was detected in patient with shorter survival interval. ADAM17 mutation and HEY1 amplification were identified in OS happening dedifferentiation. Signatures 21 associated with microsatellite instability (MSI) was identified in OS patient with extra-pulmonary metastases.ConclusionOS was characterized by complex genomic alterations. MYC aberration, limited root mutations, and a branched evolutionary model were observed in OS patient with relatively aggressive course. Extra-pulmonary metastases of OS might attribute to distinct mutational process pertaining to MSI. Further research in a larger number of people is needed to confirm these findings.