Chromosomal Copy Number Changes Research Articles

Abstract 981: Robustness of fragmentation-based cell-free DNA approaches to clonal hematopoiesis

Abstract INTRODUCTION: Clonal hematopoiesis (CH) is the result of the clonal expansion of hematopoietic stem cells which acquire and pass on somatically gained mutations, including SNVs as well as arm level losses and gains, defined here as mosaic deletions and amplifications (mDAs). The proportion of blood cells in circulation containing CH alterations increases with age and environmental exposures such as smoking, leading to a higher prevalence in many high-risk cancer screening populations. CH remains a major confounder for mutation-based liquid biopsy tests evaluating circulating cell-free DNA (cfDNA), since these assays are unable to discriminate between mutations originating from the tumor as opposed to CH. While the impact of CH mutations on fragmentation-based methods of detecting ctDNA appears to be limited, the effect of mDAs has not yet been explored. METHODS: To assess the impact of mDAs on screening efforts using whole genome sequencing (WGS) of cfDNA, we performed copy number analyses on cfDNA from plasma collected from 895 individuals consisting of high-risk individuals meeting the USPSTF guidelines for annual lung cancer screening using low-dose computed tomography. From a subset of 203 available donors (157 without cancer and 46 with lung cancer), matched genomic DNA from white blood cells (WBCs) were extracted from the isolated buffy coat and WGS was performed to evaluate whether ploidy in cfDNA plasma is derived from WBCs. Genome-wide fragmentation features (short to long ratios and fragment size densities), coverage-based statistics, and copy number (CN) statistics adjusting for mDAs were calculated (CNadj). Machine learning models to calculate the probability of cancer based on these features were then derived. RESULTS: 3.8% (95% CI 0.9%-6.8%) of individuals without cancer had an mDA in their WBCs that were also observed in the plasma (p < 0.01, permutation test). Fragmentation features were not different in regions with mDAs in individuals without cancer (p = 0.619; permutation test) but were altered in regions of tumor-derived chromosomal changes in patients with cancer (p < 0.01; permutation test). Coverage-based statistics were impacted by mDAs (p < 0.01; Wilcoxon test). Machine learning models fit with CNadj showed improved performance over CN. However, machine learning models fit with fragmentation features compensated for this difference overall showing robustness to mDAs (p = 0.45; bootstrap) demonstrating the robustness of cfDNA fragmentomes for detecting lung cancer. CONCLUSIONS: While coverage-based statistics of WGS analyses of cfDNA may be affected by mDAs, fragmentation-based approaches relying on cfDNA fragment length are robust to effects of CH. CNadj is an improved statistic for detecting tumor-derived chromosomal copy number changes in cfDNA, providing increased specificity by conditioning on fragment size distributions. Citation Format: Stephen Cristiano, Bahar Alipanahi, Jamie E. Medina, Lorenzo Rinaldi, Nicholas Dracopoli, Robert B. Scharpf, Alessandro Leal, Victor E. Velculescu, Jennifer Tom. Robustness of fragmentation-based cell-free DNA approaches to clonal hematopoiesis [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 981.

Abstract A001: Genomic signatures of past and present chromosomal instability in Barrett’s esophagus and early esophageal adenocarcinoma

Abstract Abstract: The progression of precancerous lesions to malignancy is often accompanied by increasing complexity of chromosomal alterations but how these alterations arise is poorly understood. Here we perform haplotype-specific analysis of chromosomal copy-number evolution in the progression of Barrett’s esophagus (BE) to esophageal adenocarcinoma (EAC) on multiregional whole-genome sequencing data of BE with dysplasia and microscopic EAC foci. We identify distinct patterns of copy-number evolution indicating multigenerational chromosomal instability that is initiated by cell division errors but propagated only after p53 loss. While abnormal mitosis, including whole-genome duplication, underlies chromosomal copy-number changes, segmental alterations display signatures of successive breakage-fusion-bridge cycles and chromothripsis of unstable dicentric chromosomes. Our analysis elucidates how multigenerational chromosomal instability generates copy-number variation in BE cells, precipitates complex alterations including DNA amplifications, and promotes their independent clonal expansion and transformation. In particular, we suggest sloping copy-number variation as a signature of ongoing chromosomal instability that precedes copy-number complexity. These findings suggest copy-number heterogeneity in advanced cancers originates from chromosomal instability in precancerous cells and such instability may be identified from the presence of sloping copy-number variation in bulk sequencing data. Citation Format: Chunyang Bao. Genomic signatures of past and present chromosomal instability in Barrett’s esophagus and early esophageal adenocarcinoma [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 A001.

Application of WHO CNS Fifth Edition Criteria for Glioblastoma Multiforme Diagnosis: A single center study

Abstract Introduction/Objective The fifth edition of the WHO classification of the tumors of the central nervous system (WHO CNS 5) published in 2021 introduced major changes that incorporate molecular diagnostics in CNS tumor classification along with histology and immunohistochemistry. Glioblastomas (GBM) were diagnosed based on the histologic features of diffuse and astrocytic glioma in adults, if there is microvascular proliferation and /or necrosis. Isocitrate dehydrogenase 1 (IDH) R132 H immunohistochemical stain expression and /or mutation analysis results were used to further classify GBMs as IDH mutant or IDH wild type. In WHO CNS 5 all IDH mutant diffuse astrocytic tumors are considered a single type (Astrocytoma, IDH mutant) and graded 2, 3, or 4. Glioblastoma IDH wild type is diagnosed in the setting of an IDH wild type diffuse and astrocytic glioma with microvascular proliferation or necrosis or TERT promoter mutation or EGFR gene amplification or +7/-10 chromosome copy number changes. In this study, we analyze how the change in diagnostic criterion would affect the classification of GBMs diagnosed in our institution retrospectively. Methods/Case Report The pathology database was searched for all diffuse gliomas diagnosed as GBM between 01/2019 and 12/2021. Age of the patient, gender, location of tumor, histologic features, IDH status and molecular alterations ( Onkosight Advanced solid tumor panel, 50 genes) were reviewed. Results (if a Case Study enter NA) A total of 74 adult high grade glial neoplasms were identified out of which 25 were GBMs. The age of the patients ranged from 40 to 87 years. 14 were men and 11 were females. All tumors had histologic features of GBM such as necrosis and microvascular proliferation. 24 (96%) tumors were IDH negative by immunohistochemistry and mutation analysis, and 1 (4%) was IDH strongly positive by immunohistochemistry. Molecular studies were not performed on this tumor. Conclusion 96% of GBMS diagnosed during the time period conformed to the WHO CNS 5 diagnostic criteria. The one IDH positive tumor would be reclassified as diffuse astrocytoma, IDH mutant, Grade 4. Like previous WHO classifications, WHO CNS 5 is a work in progress attempting to introduce new knowledge into the classification hoping to provide practical guidance to pathologists and neuro-oncologists and to benefit the patients with CNS tumors.

Genomic signatures of past and present chromosomal instability in Barrett’s esophagus and early esophageal adenocarcinoma

The progression of precancerous lesions to malignancy is often accompanied by increasing complexity of chromosomal alterations but how these alterations arise is poorly understood. Here we perform haplotype-specific analysis of chromosomal copy-number evolution in the progression of Barrett’s esophagus (BE) to esophageal adenocarcinoma (EAC) on multiregional whole-genome sequencing data of BE with dysplasia and microscopic EAC foci. We identify distinct patterns of copy-number evolution indicating multigenerational chromosomal instability that is initiated by cell division errors but propagated only after p53 loss. While abnormal mitosis, including whole-genome duplication, underlies chromosomal copy-number changes, segmental alterations display signatures of successive breakage-fusion-bridge cycles and chromothripsis of unstable dicentric chromosomes. Our analysis elucidates how multigenerational chromosomal instability generates copy-number variation in BE cells, precipitates complex alterations including DNA amplifications, and promotes their independent clonal expansion and transformation. In particular, we suggest sloping copy-number variation as a signature of ongoing chromosomal instability that precedes copy-number complexity. These findings suggest copy-number heterogeneity in advanced cancers originates from chromosomal instability in precancerous cells and such instability may be identified from the presence of sloping copy-number variation in bulk sequencing data.

Multidimensional Analysis of a Cell-Free DNA Whole Methylome Sequencing Assay for Early Detection of Gastric Cancer: Protocol for an Observational Case-Control Study.

Commonly used noninvasive serological indicators serve as a step before endoscope diagnosis and help identify the high-risk gastric cancer (GC) population. However, they are associated with high false positives and high false negatives. Alternative noninvasive approaches, such as cancer-related features in cell-free DNA (cfDNA) fragments, have been gradually identified and play essential roles in early cancer detection. The integrated analysis of multiple cfDNA features has enhanced detection sensitivity compared to individual features. This study aimed to develop and validate an assay based on assessing genomic-scale methylation and fragmentation profiles of plasma cfDNA for early cancer detection, thereby facilitating the early diagnosis of GC. The primary objective is to evaluate the overall specificity and sensitivity of the assay in predicting GC within the entire cohort, and subsequently within each clinical stage of GC. The secondary objective involved investigating the specificity and sensitivity of the assay in combination with possible serological indicators. This is an observational case-control study. Blood samples will be prospectively collected before gastroscopy from 180 patients with GC and 180 nonmalignant control subjects (healthy or with benign gastric diseases). Cases and controls will be randomly divided into a training and a testing data set at a ratio of 2:1. Plasma cfDNA will be isolated and extracted, followed by bisulfite-free low-depth whole methylome sequencing. A multidimensional model named Thorough Epigenetic Marker Integration Solution (THEMIS) will be constructed in the training data set. The model includes features such as the methylated fragment ratio, chromosomal aneuploidy of featured fragments, fragment size index, and fragment end motif. The performance of the model in distinguishing between patients with cancer and noncancer controls will then be evaluated in the testing data set. Furthermore, GC-related biomarkers, such as pepsinogen, gastrin-17, and Helicobacter pylori, will be measured for each patient, and their predictive accuracy will be assessed both independently and in combination with the THEMIS model. Recruitment began in November 2022 and will be ended in April 2024. As of August 2022,250 patients have been enrolled. The final data analysis is anticipated to be completed by September 2024. This is the first registered case-control study designed to investigate a stacked ensemble model integrating several cfDNA features generated from a bisulfite-free whole methylome sequencing assay. These features include methylation patterns, fragmentation profiles, and chromosomal copy number changes, with the aim of identifying the GC population. This study will determine whether multidimensional analysis of cfDNA will prove to be an effective strategy for distinguishing patients with GC from nonmalignant individuals within the Chinese population. We anticipate the THEMIS model will complement the standard-of-care screening and aid in identifying high-risk patients for further diagnosis. ClinicalTrial.gov NCT05668910; https://www.clinicaltrials.gov/study/NCT05668910. DERR1-10.2196/48247.

Primary Cutaneous Epithelioid Mesenchymal Tumor With a Novel ATP2B4::GLI1 Gene Fusion.

GLI1 gene alterations (rearrangement or amplification) have been found in several bone and soft tissue tumors including pericytic tumors, gastric plexiform fibromyxoma, gastroblastoma, and a various group of epithelioid tumors with regional recurrence or distant metastasis. In this article, we describe a case of primary cutaneous epithelioid mesenchymal tumor harboring hitherto not reported ATP2B4::GLI1 gene fusion. A 42-year-old man presented with a growing firm lesion on the left postauricular scalp. Microscopically, the shave biopsy specimen revealed a dermal-based nodular proliferation of relatively monotonous epithelioid cells with round to ovoid nuclei and pale eosinophilic cytoplasm, accompanied by prominent stromal vasculature. Significant cytologic atypia, necrosis, and mitotic activity were absent. The tumor cells were partially positive for CD34 and S-100 protein, but were negative for other markers, including SOX-10, keratins, and myogenic markers. An ATP2B4::GLI1 gene fusion was identified by next-generation sequencing. Array CGH was also performed, but it did not show relevant chromosomal copy number changes. Awareness of this rare cutaneous tumor, and thus, reporting of additional cases is necessary for further delineating its full clinicopathologic spectrum.

Abstract 102: Transient chromosomal instability as a driver of ovarian cancer genome evolution

Abstract Chromosomal instability (CIN) is a major driver of tumor progression and treatment resistance in many cancers. CIN is characterized by ongoing chromosome missegregation, generating copy number heterogeneity that provides a substrate for natural selection. Although CIN has been well studied in model systems, the evolutionary dynamics and genomic impact of CIN is underexplored in primary tumors and metastases. Newly developed single cell genomics assays allow for the measurement of the whole genomes of single cells obtained from patient tissues, thus providing a direct view into the evolution of tumor genomes undergoing CIN. To study the single-cell and spatial variation of chromosomally unstable tumors, we performed multi-region analysis of 128 tumor samples in a cohort of 45 patients with high-grade serous ovarian cancer (HGSOC), an archetype of high CIN cancers. We performed single-cell whole genome sequencing (scWGS) and profiled a total of 70,644 single cells from 63 pre-treatment samples obtained across 43 patients. For each patient, we computed total and allele specific copy number per cell, and inferred the evolutionary history of each tumor, including clonal and subclonal whole genome doubling (WGD) events and cell-specific whole chromosome or arm level copy number changes, indicative of missegregations. To determine whether missegregated chromosomes fail to become part of the primary nucleus (PN) upon mitotic exit and become enclosed in a micronucleus (MN), we used high-resolution cGAS immunofluorescence (IF) microscopy to profile site-matched FFPE tissues and quantify spatially-resolved rates of MN formation and rupture across 128 site-matched samples. A majority of tumors were characterized by early clonal WGD (61%, 22/36 cases). The remaining patients exhibited subclonal WGD subpopulations averaging 10% of the patient’s cells in total. To understand the interplay between recent WGD and CIN across the cohort, we subset all patients cells into non-WGD, subclonal WGD, and clonal WGD and computed missegregation rates for these subsets. Non-WGD cells showed the lowest levels of missegregation. Subclonal WGD exhibited the highest rates of missegregation indicative of CIN following a recent WGD event. Clonal WGD exhibited intermediate levels of missegregation indicative of stabilization following a historical WGD event. CIN following WGD often resulted in a reduction in ploidy relative to the ancestral WGD cell. Using IF, we quantified the frequent breakdown of the MN membrane, and estimated spatially-resolved CIN rates by tracking localization of cGAS to the MN, which revealed elevated rates of MN formation and rupture. Through multimodal single cell measurements of HGSOC tumors, we were able to characterize genomic complexity from individual cell division errors in HGSOC, and shed light into how the transient processes governing ovarian cancer cell evolution impact the genomes of cell populations. Citation Format: Ignacio Vazquez-Garcia, Florian Uhlitz, Marc J. Williams, Jun Li, Hongyu Shi, Samuel Freeman, Matthew Myers, MSK SPECTRUM Consortium, Britta Weigelt, Dmitriy Zamarin, Andrew McPherson, Samuel F. Bakhoum, Sohrab P. Shah. Transient chromosomal instability as a driver of ovarian cancer genome evolution [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 102.

Experimental Approaches to Generate and Isolate Human Tetraploid Cells.

Cancer cells are frequently affected by large-scale chromosome copy number changes, such as polyploidy or whole chromosome aneuploidy, and thus understanding the consequences of these changes is important for cancer research. In the past, it has been difficult to study the consequences of large-scale genomic changes, especially in pure isogenic populations. Here, we describe two methods to generate tetraploid cells induced either by cytokinesis failure or mitotic slippage. These treatments result in mixed population of diploids and tetraploids that can be analyzed directly. Alternatively, tetraploid populations can be established by single cell clone selection or by fluorescence activated cell sorting. These methods enable to analyze and compare the consequences of whole-genome doubling between the parental cell line, freshly arising tetraploid cells, and post-tetraploid aneuploid clones.

SURG-13. SYSTEMATIC REVIEW AND META-ANALYSIS OF IMPACT OF EXTENT OF RESECTION ON SURVIVAL ON GLIOBLASTOMA, IDH-WILDTYPE, WHO GRADE 4 (WHO 2021)

Abstract BACKGROUND Glioblastoma diagnostic criteria have been redefined with the 5th edition of WHO classification of tumors of the central nervous system. Glioblastomas are defined as IDH wildtype diffuse astrocytic glioma tumors with one of the following features: microvascular proliferation, or necrosis, or TERT promoter mutation, or EGFR gene amplification, or +7/-10 chromosome copy number changes. The aim of this study is to establish the impact of extent of resection in overall survival (OS) and progression free survival (PFS) in glioblastoma, IDH-wildtype (WT), WHO grade 4 (WHO 2021). METHODS Systematic literature search was performed using the following databases: PubMed, Web of Science, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews and ClinicalTrials.gov to identify studies comparing OS and PFS after gross total resection (GTR) vs subtotal resection (STR) or biopsy for glioblastoma IDH-WT. Prognostic hazard ratios (HR) for OS and PFS were analyzed using a random-effects model. RESULTS We identified 1439 publications. Nine studies met inclusion/exclusion criteria. 788 patients underwent GTR out of 1818. The meta-analysis showed a significant increase in OS and PFS duration when undergoing GTR for glioblastoma IDH-WT with a median OS of 20 months 95% CI (17-25) compared to 12 months 95% CI (9-15) for STR or biopsy and a median PFS of 11 months 95% CI (9-12) for GTR compared to 7 months 95% CI (5-7) for STR or biopsy respectively. GTR showed a 49% significant reduction of mortality risk HR=0.51 95%CI (0.42-0.59) and a 44% significant reduction of progression risk HR=0.56 95%CI (0.41-0.71) compared to STR or biopsy. CONCLUSIONS This systematic review indicates that GTR may be associated with improved OS and PFS compared to STR or biopsy for Glioblastoma, IDH-WT, WHO grade 4 (WHO 2021). However, this is limited by variable study design and significant clinical and methodological heterogeneity among studies.

Extensive protein dosage compensation in aneuploid human cancers.

Aneuploidy is a hallmark of human cancers, but the effects of aneuploidy on protein expression remain poorly understood. To uncover how chromosome copy number changes influence the cancer proteome, we conducted an analysis of hundreds of human cancer cell lines and tumors with matched copy number, RNA expression, and protein expression data. We found that a majority of proteins show dosage compensation and fail to change by the degree expected based on chromosome copy number alone. We uncovered a variety of gene groups that were recurrently buffered upon both chromosome gain and loss, including protein complex subunits and cell cycle genes. Several genetic and biophysical factors were predictive of protein buffering, highlighting complex post-translational regulatory mechanisms that maintain appropriate gene product dosage. Finally, we established that chromosomal aneuploidy has a moderate effect on the expression of oncogenes and tumor suppressors, showing that these key cancer drivers can be subject to dosage compensation as well. In total, our comprehensive analysis of aneuploidy and dosage compensation across cancers will help identify the key driver genes encoded on altered chromosomes and will shed light on the overall consequences of aneuploidy during tumor development.

OTHR-46. Single institution experience using molecular analysis of pediatric CNS tumors

Molecular analysis of pediatric CNS tumors helps confirm the diagnosis, but can also guide treatment by identifying prognostic factors allowing for treatment stratification, and by unveiling active signaling pathways which can be targeted. This report is a retrospective review of the molecular analysis performed on all CNS tumors biopsied or resected at Children’s Minnesota over the last 3 years to evaluate our current practices. From 2019-2021, 118 patients with newly diagnosed CNS tumors underwent surgery followed by molecular assessment (14 IHC/FISH, 85 NGS, 7 methylation profiling) on 100% of medulloblastoma, other embryonal tumors, and schwannoma; 90% of ependymoma; 88% of HGG; 71% of LGG/glioneuronal/neuronal tumors; and 50% of meningioma and craniopharygioma. MAPK pathway alterations were seen in 84% of LGG/glioneuronal/neuronal tumors, with KIAA1540-BRAF fusion seen exclusively in pilocytic astrocytoma and BRAFV600E alterations seen in diffuse LGG (75%), PLNTY and PXA. Frequent alterations seen in HGG included H3F3A-K27M, H3F3A-G34, TP53, PDGFRA, ATRX, CDKN2A/B. Common gene alterations in medulloblastoma included monosomy 6 (100%) and alteration of CTNNB1 (50%) in WNT subgroup; PTCH1 (75%) in SHH subgroup; MYC/MYCN gain (60%) or amplification (60%) in Non-WNT/SHH subgroup. Alterations in FOXR2 in CNS neuroblastoma, SMARCB1 in ATRT and C19MC in ETMR confirmed these diagnoses. Supratentorial ependymoma showed ZFTQ-RELA fusion (100%) and infratentorial ependymoma showed chromosomal copy number changes including 1q gain (40%). Meningiomas showed deletion of NF2 and SMARCB1 and craniopharyngioma had alterations in CTNNB1. Molecular analysis confirmed the diagnosis in 23% of tumors, aided with targeted treatment in 20% of patients (82% of HGG, 9% of LGG, 13% of medulloblastomas) and allowed for risk-adapted treatment in 93% of medulloblastomas. These findings indicate that identification of pathogenic variants in CNS tumors aids in the diagnosis and treatment of pediatric CNS tumors and should be considered standard practice.

MDM2 Gene Amplification and Expression of MDM2 and CDK4 are Rare in Ossifying Fibroma of Craniofacial Bones.

Ossifying fibroma of the craniofacial bones is a fibro-osseous lesion characterized by varied patterns of bone formation in a fibroblastic stroma. Ossifying fibroma is a putatively benign lesion with no reports of malignant transformation or metastasis. Differentiation from other fibro-osseous lesions can be challenging necessitating synthesis of clinical, radiological and pathological findings. The molecular pathogenesis of ossifying fibroma is poorly understood but recent studies have reported MDM2 gene amplification and chromosomal copy number changes in a subset of ossifying fibromas. MDM2 amplification in ossifying fibroma, if true, presents a diagnostic problem because this genetic event, at least among craniofacial fibro-osseous lesions, was previously considered specific for low-grade osteosarcoma. In the present study, we investigated the utility of MDM2 and CDK4 immunohistochemistry, and fluorescence in situ hybridization for MDM2 gene amplification, in the diagnosis of 44 craniofacial bone ossifying fibromas. Focal MDM2 and CDK4 nuclear immunoreactivity was found in 11 and 1 ossifying fibromas, respectively, but none demonstrated MDM2 amplification by fluorescence in situ hybridization. A single tumor displayed MDM2 amplification without nuclear immunoreactivity to either MDM2 or CDK4. Our data suggest that while focal MDM2 and CDK4 nuclear expression may be detected in a minority of ossifying fibromas, this expression does not correlate with MDM2 amplification. In addition, MDM2 amplification is extremely rare in ossifying fibroma so the detection of this genetic abnormality should continue to raise concern for osteosarcoma.

Glioblastoma: Changing concepts in the WHO CNS5 classification.

Glioblastoma is the most common malignant central nervous system (CNS) tumor in adults. Acute common clinical symptoms include headache, seizure, behavior changes, focal neurological deficits, and signs of increased intracranial pressure. The classic MRI finding of glioblastoma is an irregularly shaped, rim-enhancing or ring-enhancing lesion with a central dark area of necrosis. This constellation of features correlates with microscopic findings of tumor necrosis and microvascular proliferation. Besides these common features, several well-recognized histological subtypes include giant cell glioblastoma, granular cell glioblastoma, gliosarcoma, glioblastoma with a primitive neuronal component, small cell glioblastoma, and epithelioid glioblastoma. While glioblastoma was historically classified as isocitrate dehydrogenase (IDH)-wildtype and IDH-mutant groups, the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy (cIMPACT-NOW) and the fifth edition of the WHO Classification of Tumors of the Central Nervous System clearly updated the nomenclature to reflect glioblastoma to be compatible with wildtype IDH status only. Therefore, glioblastoma is now defined as "a diffuse, astrocytic glioma that is IDH-wildtype and H3-wildtype and has one or more of the following histological or genetic features: microvascular proliferation, necrosis, Telomerase reverse transcriptase promoter mutation, Epidermal growth factor receptor gene amplification, +7/-10 chromosome copy-number changes (CNS WHO grade 4)."

Shallow whole-genome sequencing: a useful, easy to apply molecular technique for CNA detection on FFPE tumor tissue-a glioma-driven study.

Copy number alterations (CNAs) have increasingly become part of the diagnostic algorithm of glial tumors. Alterations such as homozygous deletion of CDKN2A/B, 7+/ 10- chromosome copy number changes or EGFR amplification are predictive of a poor prognosis. The codeletion of chromosome arms 1p and 19q, typically associated with oligodendroglioma, implies a more favorable prognosis. Detection of this codeletion by the current diagnostic standard, being fluorescence in situ hybridization (FISH), is sometimes however subject to technical and interpretation problems. In this study, we evaluated CNA detection by shallow whole-genome sequencing (sWGS) as an inexpensive, complementary molecular technique. A cohort of 36 glioma tissue samples, enriched with "difficult" and "ambiguous" cases, was analyzed by sWGS. sWGS results were compared with FISH assays of chromosomes 1p and 19q. In addition, CNAs relevant to glioblastoma diagnosis were explored. In 4/36 samples, EGFR (7p11.2) amplifications and homozygous loss of CDKN2A/B were identified by sWGS. Six out of 8 IDH-wild-type glioblastomas demonstrated a prognostic chromosome 7/chromosome 10 signature. In 11/36 samples, local interstitial and terminal 1p/19q alterations were detected by sWGS, implying that FISH's targeted nature might promote false arm-level extrapolations. In this cohort, differences in overall survival between patients with and without codeletion were better pronounced by the sequencing-based distinction (likelihood ratio of 7.48) in comparison to FISH groupings (likelihood ratio of 0.97 at diagnosis and 1.79 ± 0.62 at reobservation), suggesting sWGS is more accurate than FISH. We recognized adverse effects of tissue block age on FISH signals. In addition, we show how sWGS reveals relevant aberrations beyond the 1p/19q state, such as EGFR amplification, combined gain of chromosome 7 and loss of chromosome 10, and homozygous loss of CDKN2A/B. The findings presented by this study might stimulate implementation of sWGS as a complementary, easy to apply technique for copy number detection.

Natural Barcodes for Longitudinal Single Cell Tracking of Leukemic and Immune Cell Dynamics.

Blood malignancies provide unique opportunities for longitudinal tracking of disease evolution following therapeutic bottlenecks and for the monitoring of changes in anti-tumor immunity. The expanding development of multi-modal single-cell sequencing technologies affords newer platforms to elucidate the mechanisms underlying these processes at unprecedented resolution. Furthermore, the identification of molecular events that can serve as in-vivo barcodes now facilitate the tracking of the trajectories of malignant and of immune cell populations over time within primary human samples, as these permit unambiguous identification of the clonal lineage of cell populations within heterogeneous phenotypes. Here, we provide an overview of the potential for chromosomal copy number changes, somatic nuclear and mitochondrial DNA mutations, single nucleotide polymorphisms, and T and B cell receptor sequences to serve as personal natural barcodes and review technical implementations in single-cell analysis workflows. Applications of these methodologies include the study of acquired therapeutic resistance and the dissection of donor- and host cellular interactions in the context of allogeneic hematopoietic stem cell transplantation.

Molecular pathways in post-colonoscopy versus detected colorectal cancers: results from a nested case-control study.

Post-colonoscopy colorectal cancers (PCCRCs) pose challenges in clinical practice. PCCRCs occur due to a combination of procedural and biological causes. In a nested case-control study, we compared clinical and molecular features of PCCRCs and detected CRCs (DCRCs). Whole-genome chromosomal copy number changes and mutation status of genes commonly affected in CRC were examined by low-coverage WGS and targeted sequencing, respectively. MSI and CIMP status was also determined. In total, 122 PCCRCs and 98 DCRCs with high-quality DNA were examined. PCCRCs were more often located proximally (P < 0.001), non-polypoid appearing (P = 0.004), early stage (P = 0.009) and poorly differentiated (P = 0.006). PCCRCs showed significantly less 18q loss (FDR < 0.2), compared to DCRCs. No significant differences in mutations were observed. PCCRCs were more commonly CIMP high (P = 0.014) and MSI (P = 0.029). After correction for tumour location, only less 18q loss remained significant (P = 0.005). Molecular features associated with the sessile serrated lesions (SSLs) and non-polypoid colorectal neoplasms (CRNs) are more commonly seen in PCCRCs than in DCRCs. These together with the clinical features observed support the hypothesis that SSLs and non-polypoid CRNs are contributors to the development of PCCRCs. The future focus should be directed at improving the detection and endoscopic removal of these non-polypoid CRN and SSLs. NTR3093 in the Dutch trial register ( www.trialregister.nl ).

Genomic Heterogeneity and Clonal Evolution in High Hyperdiploid Childhood Acute Lymphoblastic Leukemia

High hyperdiploid (HeH) B-cell precursor acute lymphoblastic leukemia (BCP ALL) is characterized by a very specific nonrandom gain of chromosomes; a feature distinct from other types of aneuploid tumor types that usually display very heterogeneous gains and losses of chromosomes. Gains of chromosomes X, 4, 6, 10, 14, 17, and 18 are seen in more than 75% of cases of HeH childhood ALL, and of chromosome 21 in 100% of cases. In contrast to many aneuploid malignancies, there has been little evidence of chromosomal instability (CIN) in HeH ALL and the mechanisms leading to these chromosomal gains remain unknown. The aim of this project was to determine the level of genomic heterogeneity in HeH ALL. In order to do this, we performed low-pass whole genome sequencing (WGS) of single cells isolated from diagnostic bone marrow samples from HeH ALL patients to investigate cell-to-cell heterogeneity. Single nuclei in G 1 phase from nine diagnostic childhood HeH ALL samples were isolated using fluorescence-activated cell sorting and DNA libraries were constructed for low-pass WGS. Copy number analysis for each individual cell was performed in-house using the software programs AneuFinder and Ginkgo. Homolog inheritance of chromosomes gained or lost was determined by screening for heterozygous variants and calculation of the variant allele frequencies (VAF). Sequencing 2,572 single cells showed that the nine HeH ALL patients were all relatively homogenous at the trunk of their evolution tree and that the bulk of chromosomal gains were stable and unchanging. Structural aberrations, visible as partial chromosome copy number changes, were detected at diagnosis in most cases, with a greater number of structural aberrations detected in patients with greater numbers of sub-clones (defined as three or more cells presenting with the same numerical and structural aberrations). Unique numerical chromosomal aberrations detected in two or fewer cells were relatively random and therefore indicative of nondisjunction events in recent cell divisions rather than being part of the clonal evolution of the leukemia. These results indicate very low heterogeneity in HeH ALL and suggests that the genome of these leukemias is relatively stable. DisclosuresNo relevant conflicts of interest to declare.

Polymorphous Low-Grade Neuroepithelial Tumor of the Young (PLNTY): Molecular Profiling Confirms Frequent MAPK Pathway Activation.

Polymorphous low-grade neuroepithelial tumor of the young (PLNTY) is a recently described epileptogenic tumor characterized by oligodendroglioma-like components, aberrant CD34 expression, and frequent mitogen-activated protein kinase (MAPK) pathway activation. We molecularly profiled 13 cases with diagnostic histopathological features of PLNTY (10 female; median age, 16 years; range, 5-52). Patients frequently presented with seizures (9 of 12 with available history) and temporal lobe tumors (9 of 13). MAPK pathway activating alterations were identified in all 13 cases. Fusions were present in the 7 youngest patients: FGFR2-CTNNA3 (n = 2), FGFR2-KIAA1598 (FGFR2-SHTN1) (n = 1), FGFR2-INA (n = 1), FGFR2-MPRIP (n = 1), QKI-NTRK2 (n = 1), and KIAA1549-BRAF (n = 1). BRAF V600E mutation was present in 6 patients (17 years or older). Two fusion-positive cases additionally harbored TP53/RB1 abnormalities suggesting biallelic inactivation. Copy number changes predominantly involving whole chromosomes were observed in all 10 evaluated cases, with losses of chromosome 10q occurring with FGFR2-KIAA1598 (SHTN1)/CTNNA3 fusions. The KIAA1549-BRAF and QKI-NTRK2 fusions were associated respectively with a 7q34 deletion and 9q21 duplication. This study shows that despite its name, PLNTY also occurs in older adults, who frequently show BRAF V600E mutation. It also expands the spectrum of the MAPK pathway activating alterations associated with PLNTY and demonstrates recurrent chromosomal copy number changes consistent with chromosomal instability.

Single Cell Genetic Profiling of Tumors of Breast Cancer Patients Aged 50 Years and Older Reveals Enormous Intratumor Heterogeneity Independent of Individual Prognosis.

Simple SummaryThe majority (69.7%) of women diagnosed with breast cancer are above the age of 55. The population of older breast cancer patients is growing. Nevertheless, older patients are underrepresented in cancer research. Therefore, our study set the focus on breast cancer patients aged 50 years and older with a median age of 67 years aiming to understand the influence of aneuploidy, genomic instability and inter- and intratumor heterogeneity on disease outcome, being a major obstacle for precise prognostication and successful treatment. We analyzed chromosomal copy number changes, ploidy and specific gene mutations and found an enormous degree of genomic instability and intratumor heterogeneity in our cohort. However, neither the ploidy, the degree of intratumor heterogeneity nor the presence of specific gene mutations was correlated with prognosis. Our findings provide a precise description of the degree of intratumor heterogeneity, genomic instability, and gene mutations in breast cancer patients aged 50 years and older, revealing significant differences between diploid and aneuploid tumors regarding copy number alterations and the extent of genomic instability.Purpose: Older breast cancer patients are underrepresented in cancer research even though the majority (81.4%) of women dying of breast cancer are 55 years and older. Here we study a common phenomenon observed in breast cancer which is a large inter- and intratumor heterogeneity; this poses a tremendous clinical challenge, for example with respect to treatment stratification. To further elucidate genomic instability and tumor heterogeneity in older patients, we analyzed the genetic aberration profiles of 39 breast cancer patients aged 50 years and older (median 67 years) with either short (median 2.4 years) or long survival (median 19 years). The analysis was based on copy number enumeration of eight breast cancer-associated genes using multiplex interphase fluorescence in situ hybridization (miFISH) of single cells, and by targeted next-generation sequencing of 563 cancer-related genes. Results: We detected enormous inter- and intratumor heterogeneity, yet maintenance of common cancer gene mutations and breast cancer specific chromosomal gains and losses. The gain of COX2 was most common (72%), followed by MYC (69%); losses were most prevalent for CDH1 (74%) and TP53 (69%). The degree of intratumor heterogeneity did not correlate with disease outcome. Comparing the miFISH results of diploid with aneuploid tumor samples significant differences were found: aneuploid tumors showed significantly higher average signal numbers, copy number alterations (CNAs) and instability indices. Mutations in PIKC3A were mostly restricted to luminal A tumors. Furthermore, a significant co-occurrence of CNAs of DBC2/MYC, HER2/DBC2 and HER2/TP53 and mutual exclusivity of CNAs of HER2 and PIK3CA mutations and CNAs of CCND1 and PIK3CA mutations were revealed. Conclusion: Our results provide a comprehensive picture of genome instability profiles with a large variety of inter- and intratumor heterogeneity in breast cancer patients aged 50 years and older. In most cases, the distribution of chromosomal aneuploidies was consistent with previous results; however, striking exceptions, such as tumors driven by exclusive loss of chromosomes, were identified.

Whole-Genome Mate Pair Sequencing Transforms Cytogenetic Analysis of Hematologic Malignancies: Development of a Targeted Panel to Detect Diagnostic/Prognostic Chromosomal Rearrangements and Copy Number Changes in AML

Acute myeloid leukemia (AML) is the most common form of acute leukemia affecting both children and adults. Once recognized as a single disease, the World Health Organization now groups AML into ten subtypes based on genetic abnormality. This is based on differences among recurrent genetic abnormalities with respect to response to therapy, relapse risk and overall survival. Currently most testing of AML patients occurs by karyotype analysis, FISH or RT-PCR. Here we describe a next generation sequencing approach to better classify and accurately detect abnormalities associated with AML.For the validation of whole genome mate pair sequencing (MPseq) targeted panel to test patients with AML, twenty-five abnormal and ten normal samples extracted from each sample type (peripheral blood (PB) and bone marrow (BM)) were run with the MPseq assay. Samples were chosen based on reported abnormalities previously tested by conventional karyotyping and/or FISH. The mate pair panel is designed to detect rearrangements involving genes ABL1, BCR, CBFB, CREBBP, DEK, KAT6A(MYST3), MECOM(EVI1), MLF1, MLL(KMT2A), MYH11, NPM1, NUP214(CAN), NUP98, PML, RARA, RPN1, RUNX1(AML1), RUNX1T1(ETO) and copy number changes on chromosomes 5, 7, 8, 13, 17, and 20. DNA was processed using the Illumina Nextera Mate Pair library preparation kit, multiplexed at 2 samples/lane and sequenced on the Illumina HiSeq. Data was aligned to the reference genome (GRCh38) using BIMA and abnormalities were identified using SVAtools, both in-house developed tools. A targeted analysis approach was utilized using a well-defined list of recurrent chromosomal abnormalities associated with known diagnostic and prognostic significance as well as targeted therapies in AML. The karyotype, FISH and MPseq results were compared to determine concordance.To test the limit of detection based on percent tumor, samples previously tested with FISH were diluted. Tumor percentage was determined by the abnormal FISH result and was diluted with a normal sample to mimic various percentages (100%, 50%, 25%, 10%, 5%, 2%). For both PB and BM specimens, the rearrangements were detected down to the 10% dilution and the copy number changes were detected down to 25%. Based on these cutoffs, all 50 abnormal samples (25 PB, 25 BM) used for the validation were 100% concordant with abnormalities targeted by the panel that were previously detected by FISH and/or karyotype. In addition, MPseq identified additional abnormalities not detected by karyotype or FISH and further characterized several complex abnormalities. One example includes a case with MLLT10/MLL(KMT2A) fusion detected by MPseq which was missed by the AML FISH panel because the rearrangement involved an insertional translocation. Another example is the identification of BCR/FGFR1 fusion in a case when AML FISH identified three copies of BCR.In conclusion, we validated a whole genome mate pair sequencing targeted panel to detect diagnostic/prognostic chromosomal rearrangements and copy number changes in patients with AML. Due to the limitations in detecting very low level abnormalities, MPseq would not be recommended for follow-up post therapy or minimal residual disease testing unless the coverage is increased with deeper sequencing. However, our validation study demonstrate the clinical utility of MPseq as a potential replacement assay to conventional FISH on diagnostic AML samples and highlight the increased diagnostic yield. Thus, MPseq represents a next generation sequencing technology that has the potential to revolutionize the diagnosis of hematologic malignancies and provide an opportunity to advance precision medicine. DisclosuresNo relevant conflicts of interest to declare.