FFFrank B. Furnari

Frank B. Furnari

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Previous Organizations / Institutes

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Frank B. Furnari has a total of 990 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    SNP rs2853669 potentially elevates the risk of glioblastoma development and leads to worse prognosis when in cis with mutant telomerase reverse transcriptase promoter in a Japanese cohort

    by Daisuke Kawauchi, Yohei Miyake, Brett Taylor, Joseph Bendik, Shunichiro Miki, Mai Honda-Kitahara, Jill Barnholtz-Sloan, Tomoyuki Nakano, Philip Pham, Raghavendra Vadla, et al.

    Background: Mutations in the telomerase reverse transcriptase (TERT) promoter region (TPM), particularly C228T and C250T, are common in IDH-wildtype glioblastoma (GBM). The single nucleotide polymorphism (SNP) rs2853669, also located in the TERT promoter, may influence telomerase activity, though its clinical relevance in GBM remains unclear. This study examined the allelic configuration between rs2853669 and TPM to elucidate their combined effects on TERT expression and clinical outcome. Methods: Seventy-six TPM-positive GBM tumors from Japanese patients were analyzed by nested PCR, and patients were classified by rs2853669 genotype (T/T, T/C, C/C). In the T/C subgroup, the allelic configuration between the SNP and TPM was determined as cis (same allele) or trans (different alleles). Clinical data, TERT expression, and prognosis were compared among groups. Results: Among 76 patients, 37 (48.7%) had T/T, 30 (39.5%) had T/C, and 9 (11.8%) had C/C genotypes. The rs2853669 C allele frequency was higher in GBM than in the general Japanese population (31.6% vs 24.5%, P = .047). Among T/C cases, 53.3% showed a cis configuration. Patients carrying the SNP and TPM on the same allele (C/C and T/C cis) had shorter overall survival than those carrying them on different alleles (T/T or T/C trans; 19 vs 25 months, P = .048), and TERT expression was also lower in this group (P = .038). Conclusion: The rs2853669 C allele may increase GBM susceptibility and, when in cis with TPM, is associated with reduced TERT expression and poorer prognosis, underscoring its biological and clinical significance in TPM-mutant GBM.

  • Open Access

    Single-molecule spatial genomics reveals the multi-scale organization and plasticity of extrachromosomal DNA in glioblastoma

    by Brett Taylor, Weixiu Dong, Tula Keal, Zhaoning Wang, Bharath Saravanan, Zane A. Gibbs, Yohei Miyake, Daisuke Kawauchi, Raghavendra Vadla, Abhinaba Banerjee, et al.

    Extrachromosomal DNA (ecDNA) is a major driver of intratumoral heterogeneity and is associated with poor clinical outcomes across cancers, yet how individual ecDNA molecules are organized and regulated within intact tumors remains unknown. Here, we leveraged single-molecule, multi-modal spatial genomics to resolve the three-dimensional chromatin organization and transcriptional activity of individual EGFR -containing ecDNA molecules in glioblastoma (GBM) cells in vitro , in orthotopic xenografts, and in patient-derived GBM tissue. At the larger scale, we find that distinct GBM molecular and functional states emerge depending on the local cellular environment. EGFR expression was markedly different between GBM subpopulations, and perturbations of EGFR dosage shifted GBM cellular states. ecDNA expression was modulated by multiple mechanisms, including variation in copy number, chromatin organization, DNA sequence, and chromosomal reintegration, which were simultaneously measured within the same cells. At the single-molecule scale, ecDNA adopts a physically expanded chromatin configuration with larger ecDNA molecules having higher transcriptional activity and interaction with active transcriptional machinery. ecDNA regulation was coordinated within cells and across GBM states, and ecDNA copy number, structure, and transcription were spatially organized across the tumor architecture. Co-culturing GBM cells with neurons recapitulated key features of infiltrative regions, including lower EGFR expression, reduced ecDNA copy number, and increased chromosomal reintegration, suggesting a causal role for the microenvironment in shaping ecDNA regulation. Collectively, these findings support a model in which GBM states and ecDNA are linked, plastic, and influenced by microenvironmental contexts, revealing a previously inaccessible layer of genome organization underlying tumor heterogeneity and malignant cell behavior.


  • Chromothripsis and ecDNA initiated by N4BP2 nuclease fragmentation of cytoplasm-exposed chromosomes

    by Ksenia Krupina, Alexander Goginashvili, Michael W. Baughn, Stephen Moore, Christopher D. Steele, Amy T. Nguyen, Daniel L. Zhang, Jonas Koeppel, Prasad Trivedi, Aarti Malhotra, et al.

    Genome instability, including chromothripsis, is a hallmark of cancer. Cancer cells frequently contain micronuclei—small, nucleus-like structures formed by chromosome missegregation—that are susceptible to rupture, exposing chromatin to cytoplasmic nucleases. Through an unbiased, imaging-based small interfering RNA screen that targeted all 204 known and putative human nucleases, we identified a previously uncharacterized cytoplasmic endonuclease, NEDD4-binding protein 2 (N4BP2), that enters ruptured micronuclei and initiates DNA damage, leading to chromosome fragmentation. N4BP2 promoted genome rearrangements (including chromothripsis), formation of extrachromosomal DNA (ecDNA) in drug-induced gene amplification, tumorigenesis, and tumor cell proliferation in an induced model of human high-grade glioma. Analysis of more than 10,000 human cancer genomes revealed elevated N4BP2 expression to be predictive of chromothripsis and copy number amplifications, including ecDNA.


  • Open Access

    BRD2 bromodomain-mediated regulation of cell state plasticity modulates therapy response in glioblastoma

    by Raghavendra Vadla, Brett Taylor, Yohei Miyake, Benjamin Lin, Daisuke Kawauchi, Shunichiro Miki, Nidhi Nathwani, Brandon M Jones, Yashpreet Kaur, Abhinaba Banerjee, et al.

    Background: Glioblastoma (GBM) displays remarkable cell state plasticity, a major contributor to therapeutic resistance and tumor progression. While epigenetic mechanisms play a central role in driving this plasticity, the key regulators remain poorly understood, and developing effective therapeutic strategies targeting them has been challenging. Methods: We investigated the role of BRD2, a key regulator of NF-κB-mediated mesenchymal (MES) transition, using GBM patient-derived xenograft cell lines, CRISPR-mediated knock-in/knockout approaches, RNA-seq, and in vitro and in vivo modeling. BET inhibitors were employed to target MES gene expression and sensitize GBM to radiation therapy. Results: We found that PTEN loss induces RelA chromatin localization and acetylation-mediated recruitment of BRD2 to the MES gene promoters. BRD2 binding is essential for maintaining MES gene expression and phenotype. Genetic ablation or loss-of-function mutation of BRD2 bromodomains reverses MES transition, enhances radiation sensitivity, and improves survival in orthotopic xenograft models. Additionally, treatment with a brain-penetrant BD2-selective inhibitor suppresses the MES phenotype and increases radiation sensitivity of GBM stem cells in vitro. Conclusion: Our study identifies BRD2 as a key mediator of MES transition in GBM, with its bromodomains playing a crucial role in driving cell state plasticity. Targeting BRD2 with BD2-selective inhibitors offers a promising therapeutic strategy to overcome radiation resistance and improve outcomes for GBM patients.


  • Open Access

    Breakage fusion bridge cycles drive high oncogene number with moderate intratumoural heterogeneity

    by Siavash Raeisi Dehkordi, Ivy Tsz-Lo Wong, Jing Ni, Jens Luebeck, Kaiyuan Zhu, Gino Prasad, Lena Krockenberger, Guanghui Xu, Biswanath Chowdhury, Utkrisht Rajkumar, et al.

    Oncogene amplification is a key driver of cancer pathogenesis. Both breakage fusion bridge (BFB) cycles and extrachromosomal DNA (ecDNA) can lead to high oncogene copy numbers, but the impact of BFB amplifications on intratumoral heterogeneity, treatment response, and patient survival remains poorly understood due to detection challenges with DNA sequencing. We introduce an algorithm, OM2BFB, designed to detect and reconstruct BFB amplifications using optical genome mapping (OGM). OM2BFB demonstrates high precision (>93%) and recall (92%) in identifying BFB amplifications across cancer cell lines, patient-derived xenograft models, and primary tumors. Comparisons using OGM reveal that BFB detection with our AmpliconSuite toolkit for short-read sequencing also achieves high precision, though with reduced sensitivity. We identify 371 BFB events through whole genome sequencing of 2557 primary tumors and cancer cell lines. BFB amplifications are prevalent in cervical, head and neck, lung, and esophageal cancers, but rare in brain cancers. Genes amplified through BFB exhibit lower expression variance, with limited potential for regulatory adaptation compared to ecDNA-amplified genes. Tumors with BFB amplifications (BFB(+)) show reduced structural heterogeneity in amplicons and delayed resistance onset relative to ecDNA(+) tumors. These findings highlight ecDNA and BFB amplifications as distinct oncogene amplification mechanisms with differing biological characteristics, suggesting distinct avenues for therapeutic intervention.


  • Open Access

    Integration of Computational Pipeline to Streamline Efficacious Drug Nomination and Biomarker Discovery in Glioblastoma

    by Danielle Maeser, Robert F. Gruener, Robert Galvin, Adam Lee, Tomoyuki Koga, Florina-Nicoleta Grigore, Yuta Suzuki, Frank B. Furnari, Clark Chen, R. Stephanie Huang

    Glioblastoma multiforme (GBM) is the deadliest, most heterogeneous, and most common brain cancer in adults. Not only is there an urgent need to identify efficacious therapeutics, but there is also a great need to pair these therapeutics with biomarkers that can help tailor treatment to the right patient populations. We built patient drug response models by integrating patient tumor transcriptome data with high-throughput cell line drug screening data as well as Bayesian networks to infer relationships between patient gene expression and drug response. Through these discovery pipelines, we identified agents of interest for GBM to be effective across five independent patient cohorts and in a mouse avatar model: among them are a number of MEK inhibitors (MEKis). We also predicted phosphoglycerate dehydrogenase enzyme (PHGDH) gene expression levels to be causally associated with MEKi efficacy, where knockdown of this gene increased tumor sensitivity to MEKi and overexpression led to MEKi resistance. Overall, our work demonstrated the power of integrating computational approaches. In doing so, we quickly nominated several drugs with varying known mechanisms of action that can efficaciously target GBM. By simultaneously identifying biomarkers with these drugs, we also provide tools to select the right patient populations for subsequent evaluation.


  • Open Access

    Stem cell modeling of nervous system tumors

    by Frank B. Furnari, Corina Anastasaki, Shan Bian, Howard A. Fine, Tomoyuki Koga, Lu Q. Le, Fausto J. Rodriguez, David H. Gutmann

    Nervous system tumors, particularly brain tumors, represent the most common tumors in children and one of the most lethal tumors in adults. Despite decades of research, there are few effective therapies for these cancers. Although human nervous system tumor cells and genetically engineered mouse models have served as excellent platforms for drug discovery and preclinical testing, they have limitations with respect to accurately recapitulating important aspects of the pathobiology of spontaneously arising human tumors. For this reason, attention has turned to the deployment of human stem cell engineering involving human embryonic or induced pluripotent stem cells, in which genetic alterations associated with nervous system cancers can be introduced. These stem cells can be used to create self-assembling three-dimensional cerebral organoids that preserve key features of the developing human brain. Moreover, stem cell-engineered lines are amenable to xenotransplantation into mice as a platform to investigate the tumor cell of origin, discover cancer evolutionary trajectories and identify therapeutic vulnerabilities. In this article, we review the current state of human stem cell models of nervous system tumors, discuss their advantages and disadvantages, and provide consensus recommendations for future research.


  • Open Access

    Glioblastoma vulnerability to neddylation inhibition is dependent on PTEN status, and dysregulation of the cell cycle and DNA replication

    by Brett Taylor, Nanyun Tang, Yue Hao, Matthew Lee, Sen Peng, Rita Bybee, Lauren Hartman, Krystine Garcia-Mansfield, Ritin Sharma, Patrick Pirrotte, et al.

    Neddylation (NAE) inhibition, affecting posttranslational protein function and turnover, is a promising therapeutic approach to cancer. We report the cytotoxic vulnerability to NAE inhibitors in a subset of glioblastoma (GBM) preclinical models and identify genetic alterations and biological processes underlying differential response. GBM DNA sequencing and transcriptomic data were queried for genes associated with response to NAE inhibition; candidates were validated by molecular techniques. Multi-omics and functional assays revealed processes implicated in NAE inhibition response. Transcriptomics and shotgun proteomics depict PTEN signaling, DNA replication, and DNA repair pathways as significant differentiators between sensitive and resistant models. Vulnerability to MLN4924, a NAE inhibitor, is associated with elevated S-phase populations, DNA re-replication, and DNA damage. In a panel of GBM models, loss of WT PTEN is associated with resistance to different NAE inhibitors. A NAE inhibition response gene set could segregate the GBM cell lines that are most resistant to MLN4924. Loss of WT PTEN is associated with non-sensitivity to 3 different compounds that inhibit NAE in GBM. A NAE inhibition response gene set largely consisting of DNA replication genes could segregate GBM cell lines most resistant to NAEi and may be the basis for future development of NAE inhibition signatures of vulnerability and clinical trial enrollment within a precision medicine paradigm.


  • Open Access

    Breakage fusion bridge cycles drive high oncogene copy number, but not intratumoral genetic heterogeneity or rapid cancer genome change

    by Siavash Raeisi Dehkordi, Ivy Tsz-Lo Wong, Jing Ni, Jens Luebeck, Kaiyuan Zhu, Gino Prasad, Lena Krockenberger, Guanghui Xu, Biswanath Chowdhury, Utkrisht Rajkumar, et al.

    SUMMARY: Oncogene amplification is a major driver of cancer pathogenesis. Breakage fusion bridge (BFB) cycles, like extrachromosomal DNA (ecDNA), can lead to high copy numbers of oncogenes, but their impact on intratumoral heterogeneity, treatment response, and patient survival are not well understood due to difficulty in detecting them by DNA sequencing. We describe a novel algorithm that detects and reconstructs BFB amplifications using optical genome maps (OGMs), called OM2BFB. OM2BFB showed high precision (>93%) and recall (92%) in detecting BFB amplifications in cancer cell lines, PDX models and primary tumors. OM-based comparisons demonstrated that short-read BFB detection using our AmpliconSuite (AS) toolkit also achieved high precision, albeit with reduced sensitivity. We detected 371 BFB events using whole genome sequences from 2,557 primary tumors and cancer lines. BFB amplifications were preferentially found in cervical, head and neck, lung, and esophageal cancers, but rarely in brain cancers. BFB amplified genes show lower variance of gene expression, with fewer options for regulatory rewiring relative to ecDNA amplified genes. BFB positive (BFB (+)) tumors showed reduced heterogeneity of amplicon structures, and delayed onset of resistance, relative to ecDNA(+) tumors. EcDNA and BFB amplifications represent contrasting mechanisms to increase the copy numbers of oncogene with markedly different characteristics that suggest different routes for intervention.


  • Open Access

    Glioblastoma Mesenchymal Transition and Invasion are Dependent on a NF-κB/BRD2 Chromatin Complex

    by Raghavendra Vadla, Shunichiro Miki, Brett Taylor, Daisuke Kawauchi, Brandon M Jones, Nidhi Nathwani, Philip Pham, Jonathan Tsang, David A. Nathanson, Frank B. Furnari

    Glioblastoma (GBM) represents the most aggressive subtype of glioma, noted for its profound invasiveness and molecular heterogeneity. The mesenchymal (MES) transcriptomic subtype is frequently associated with therapy resistance, rapid recurrence, and increased tumor-associated macrophages. Notably, activation of the NF-κB pathway and alterations in the PTEN gene are both associated with this malignant transition. Although PTEN aberrations have been shown to be associated with enhanced NF-κB signaling, the relationships between PTEN, NF-κB and MES transition are poorly understood in GBM. Here, we show that PTEN regulates the chromatin binding of bromodomain and extraterminal (BET) family proteins, BRD2 and BRD4, mediated by p65/RelA localization to the chromatin. By utilizing patient-derived glioblastoma stem cells and CRISPR gene editing of the RELA gene, we demonstrate a crucial role for RelA lysine 310 acetylation in recruiting BET proteins to chromatin for MES gene expression and GBM cell invasion upon PTEN loss. Remarkably, we found that BRD2 is dependent on chromatin associated acetylated RelA for its recruitment to MES gene promoters and their expression. Furthermore, loss of BRD2 results in the loss of MES signature, accompanied by an enrichment of proneural signature and enhanced therapy responsiveness. Finally, we demonstrate that disrupting the NF-κB/BRD2 interaction with a brain penetrant BET-BD2 inhibitor reduces mesenchymal gene expression, GBM invasion, and therapy resistance in GBM models. This study uncovers the role of hitherto unexplored PTEN-NF-κB-BRD2 pathway in promoting MES transition and suggests inhibiting this complex with BET-BD2 specific inhibitors as a therapeutic approach to target the MES phenotype in GBM.