329 Primary and Secondary Glioblastomas are Driven by Distinct Forms of Fusion Oncoproteins

Neurosurgery ◽  
2017 ◽  
Vol 64 (CN_suppl_1) ◽  
pp. 272-273
Author(s):  
Mir Amaan Ali ◽  
Jason N Compton ◽  
Kate T Carroll ◽  
Robert Rennert ◽  
Tao Jiang ◽  
...  

Abstract INTRODUCTION The role of chromosomal rearrangement in neoplastic transformation has been well-studied in number of cancers. However, the area remains under-studied in high-grade gliomas. METHODS We performed RNA-seq of 272 gliomas, identifying 214 fusion transcripts. Additional review of the literature identified an additional 772 fusion transcripts in the published literature. Analysis was performed pertaining to rearrangement hot-spots and recurrent fusion transcripts. RESULTS >The most common form of fusion transcript arose from joining of sequences from the same chromosome (76%) rather than sequences from difference chromosomes. Frequency of fusion transcript increased with advanced tumor grade. More fusion transcripts are found in the classical subtype of glioblastoma (P = 0.012), particularly in tumors with amplification of EGFR. Fusion transcripts were most commonly mapped to chromosomes 7 and 12, suggesting these chromosomes contain hots-spots for chromosomal rearrangement. For primary glioblastomas, the most prevalent fusion transcripts involved 1) segments of the EGFR sequence fused to other segments of EGFR or to sequences derived from non-EGFR genes (5.6%) or 2) fusion between FGFR and TACC (FGFR3-TACC3 (3.8%) and FGFR1-TACC1 (0.5%)). PTPRZ1-MET fusions are unique in that they are predominantly found in secondary glioblastomas. All three classes of the encoded fusion proteins have been shown to modulate aspects of glioblastoma biology, including tumorigenesis and invasion. CONCLUSION While ∼50% of glioblastoma harbor fusion transcripts, the occurrence of “driver” fusion transcripts is a relative rarity (<5%). Primary and secondary glioblastomas harbor distinct forms of “driver” fusion transcripts.

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 2549-2549
Author(s):  
Julia Kuhn ◽  
Daoud Meerzaman ◽  
Rhonda E. Ries ◽  
Filippo Milano ◽  
Alan S. Gamis ◽  
...  

Abstract The PIM family of serine/threonine kinases (PIM1, PIM2, PIM3) are important regulators of signal transduction that phosphorylate proteins essential for cell proliferation, survival, and apoptosis. The PIM kinases are constitutively active and broadly expressed in multiple tissues and up-regulated in various malignancies. We report the discovery of a novel fusion transcript encoding the kinase domain of PIM3 fused to SCO2, a cytochrome c oxidase assembly protein. In transcript sequencing (RNA Seq) of 68 pediatric AML cases, PIM3-SCO2 fusion transcript was computationally identified and experimentally verified in index cases and studied in an independent cohort of pediatric patients with AML. RNA-Seq performed on the Illumina HiSeq in 68 diagnostic specimens from children with AML treated on COG clinical trials. Sequence reads were mapped to human genome using Novoalign. Four computational methods including Defuse, TophatFusion, FusionMap, and Snowshoes-FTD, were utilized to identify fusion transcripts and after filtering to eliminate false positives, fusions were selected based on observation in 2 or more fusion methods and presence in chimerDB. PIM3-SCO2 was identified as an in-frame fusion transcript in 3 cases with Inv(16) and subsequently verified by RT-PCR and Sanger sequencing. Frequency validation was performed by semi-quantitative expression analysis of PIM3-SCO2 expression levels in 235 AML diagnostic specimens as well as 6 normal bone marrow (NBM) controls. PIM3-SCO2 fusion protein was assessed by Western blot on whole cell lysates from cases with the fusion transcript. After verification of the fusion, available whole genome sequencing data in matching cases was interrogated and failed to demonstrate genomic counterpart to this fusion transcript, suggesting that this fusion may be the result of transcriptional read-through; also called transcription-induced chimera (TIC). Such fusion transcripts are generated when genes in proximity on a genome strand are spliced together to generate a chimeric product. Frequency validation studies in 235 diagnostic specimens from COG AAML0531 demonstrated that PIM3-SCO2 fusion transcript was highly prevalent in AML and expressed in 187 of the 235 cases of AML (80%) with variable prevalence across different cytogenetic cohorts, with prevalence of 87% in CBF, 56% in MLL, 79% in normal karyotype, and 70% in those with “other” karyotypes (p<0.001) Further evaluation of the expression level of the fusion product demonstrated significant variability among AML patients. Given the high prevalence of fusion transcript in AML specimens, we evaluated the expression of PIM3-SCO2 transcript in normal marrow as well as in non-hematopoietic tissues. PIM3-SCO2 fusion was detected at low levels in whole normal marrow, but was absent in T cells as well non-hematopoietic tissues including cerebellum, cortex, thymus, skeletal muscle, and tongue. Protein lysates from various tissues and in patients with PIM3-SCO2 fusions was interrogated for the presence of PIM3 protein variant using an antibody directed at the amino terminal end of PIM3 protein. Normal PIM3 protein of 36 kDa was detected in HEK-293 kidney derived cell line and in Jurkat cells; however, in patient specimens with the fusion transcript, presence of a 50 kDa protein, which is the expected protein product of the fusion transcript, was confirmed. Although the appropriate PIM3 protein product was observed in non hematopoietic tissues, only the fusion product was observed in hematopoietic cells, including normal marrow, suggesting that the fusion product may be the only translated product of PIM3 in normal hematopoiesis. Gene expression profiling of 226 Dx and 35 relapse samples was performed. Compared to normal marrow, PIM3 exhibited significantly higher expression at diagnosis (p=0.04) and at relapse (p=0.022). In addition, PIM3 related signaling genes were also overrepresented on pathway analysis in Dx and Relapse samples vs. normal bone marrow. Our data show that a novel PIM3-SCO2 fusion transcript, which is likely a transcription-induced chimera of the two gene transcripts, may be involved in normal hematopoietic development whose expression is highly dysregulated in AML. Expression level of this chimeric product is highly variable in childhood AML, is associated with cytogenetic and molecular subsets, and may identify a potential target for therapeutic intervention. Disclosures: No relevant conflicts of interest to declare.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2681-2681
Author(s):  
Nicholas Stong ◽  
Maria Ortiz ◽  
Fadi Towfic ◽  
William Pierceall ◽  
Erin Flynt ◽  
...  

Abstract Introduction: The recombination of chromosomes 4 and 14 (t(4;14)) is a primary, predominantly clonal event in newly diagnosed multiple myeloma (ndMM) that is present in ~15% of patients. The translocation results in enhancer regions from the immunoglobulin heavy chain locus upregulating the expression of NSD2 and FGFR3 genes implicated in the disease biology of this subset of MM patients (Chesi et al. Blood. 1998, Keats et al, Leuk Lymph. 2006). The presence of t(4;14) translocation is a considered a biomarker of aggressive disease and is part of the Revised International Staging System (R-ISS) for clinical risk stratification. However, historically only ~40% of t(4;14) patients are high-risk based on the GEP70 gene expression signature. (Weinhold et al. Leukemia. 2016) Our previous analysis of a large cohort of ndMM patients described the genomic features of t(4;14) vs ndMM overall population demonstrating that only ~25% of t(4;14) patients died within 24 months of diagnosis and described biomarkers in this high-risk subset. This analysis identified both known and novel aberrations in ndMM, including some that were associated with high-risk t(4;14) (Ortiz et al Blood. 2019; 134 (Suppl_1):366). In this updated analysis, we provide a more robust analysis of the t(4;14) dataset and demonstrate the prognostic value of the NSD2 breakpoint location. Methods: We generated a large genomic dataset from t(4;14) ndMM patients with whole genome sequencing (WGS) and RNA-seq from a TOUL dataset (t(4;14) N=114) patients treated in routine practice), the IFM2009 trial (N=19), and the Myeloma Genome Project (MGP) (N=34) for discovery and validation. Gene expression, copy number aberration, single nucleotide variant and translocations were derived from RNAseq and WGS profiling of biopsies from patients aged less than 75 years who received transplant, and integrated with clinical information (including age, OS). Cytogenetic assessments from WGS were made by MANTA and used to identify translocation DNA breakpoint location. Results: In all datasets, three DNA breakpoint locations were identified, and based on their position with respect to the NSD2 gene named "no-disruption" (upstream of NSD2 gene), "early-disruption" (in the 5' UTR of NSD2 gene) and "late-disruption" (in the coding region of NSD2 gene). Using paired RNA-seq data, we identified IGH-NSD2 RNA fusion transcripts relative to the breakpoints that corresponded with previously described NSD2 isoforms. "No-disruption" and "early-disruption" breakpoints predominantly produced a fusion transcript (MB4-1) that retained the full coding sequence of the gene, while the "late-disruption" produced truncated fusion transcripts (MB4-2/3). We conducted survival analysis in our datasets based on both DNA breakpoint location and RNA fusion transcripts. This analysis demonstrated a significant difference in outcome between the patient samples with "no-disruption" and the "late-disruption" breakpoints that associated with good and poor OS, respectively (OS pval &lt; 3e-4) in the discovery TOUL dataset. Patients with "late-disruption" had a median OS of 28.64 mo vs 59.18 mo for "early disruption" and 82.26 mo for those with "no disruption" (Figure). This association was replicated in an independent dataset (MGP N=33, replication pval&lt;4.3e-5). The mOS difference of patients based on which fusion transcript they express is less than the difference based on breakpoint (mOS MB4-1 = 47.38 mo. vs. MB4-2/3 = 60.89 mo.). These analyses demonstrate that the breakpoint location has a stronger association with outcome than fusion transcript expression. Conclusion: From a large genomic dataset, we were able to discover and validate a clear association between the translocation breakpoints and survival outcome in t(4:14) ndMM patients. While prospective validation is needed before clinical application of our finding, molecular identification of high-risk t(4;14) patients using DNA breakpoint location may enable proper risk classification for this patient group at diagnosis, and would provide improved opportunities for risk-adjusted therapy and identification of a therapeutic target for this high-risk subpopulation. Ongoing work on mutations, copy number, and differential gene expression analyses between translocation breakpoint sub-groups and will be presented. Figure 1 Figure 1. Disclosures Stong: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Ortiz: Bristol Myers Squibb: Current Employment. Towfic: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Pierceall: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Flynt: Bristol Myers Squibb: Current Employment. Thakurta: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company, Patents & Royalties.


2021 ◽  
Author(s):  
Brian Haas ◽  
Alexander Dobin ◽  
Mahmoud Ghandi ◽  
Ann Van Arsdale ◽  
Timothy L. Tickle ◽  
...  

Background Gene fusions play a key role as driving oncogenes in tumors, and their reliable discovery and detection is important for cancer research, diagnostics, prognostics and guiding personalized therapy. While discovering gene fusions from genome sequencing can be laborious and costly, the resulting 'fusion transcripts' can be recovered from RNA-seq data of tumor and normal samples. However, alleged and putative fusion transcript can arise from multiple sources in addition to the chromosomal rearrangements yielding fusion genes, including cis- or trans-splicing events, experimental artifacts during RNA-seq or computational errors of transcriptome reconstruction methods. Understanding how to discern, interpret, categorize, and verify predicted fusion transcripts is essential for consideration in clinical settings and prioritization for further research. Here, we present FusionInspector for in silico characterization and interpretation of candidate fusion transcripts from RNA-seq, enabling exploration of sequence and expression characteristics of fusions and their partner genes. Results We applied FusionInspector to thousands of tumor and normal transcriptomes, and identified statistical and experimental features enriched among biologically impactful fusions. Through clustering and machine learning, we identified large collections of fusions potentially relevant to tumor and normal biological processes. We show that biologically relevant fusions are enriched for relatively high expression of the fusion transcript, imbalanced fusion allelic ratios, and canonical splicing patterns, and are deficient in sequence microhomologies detected between partner genes. Conclusion We demonstrate FusionInspector to accurately in silico validate fusion transcripts, and to help identify numerous understudied fusions in tumor and normal tissues samples. FusionInspector is freely available as open source for screening, characterization, and visualization of candidate fusions via RNA-seq. We believe that this work will continue driving the discipline of transparent explanation and interpretation of machine learning predictions and tracing the predictions to their experimental sources.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1496-1496
Author(s):  
Myung Geun Shin ◽  
Jun Hyung Lee ◽  
Hyun Jung Choi ◽  
Seung Jung Kee ◽  
Soo Hyun Kim ◽  
...  

Abstract Introduction: Fusion transcript is a chimeric RNA encoded by a fusion gene or by two different genes by subsequent trans-splicing. Detection of fusion transcripts is an integral part of routine diagnostics of hematological malignancies. However, most of previous analytical methods couldn't detect all fusion transcripts in leukemia. In this study, we developed accurate fusion transcript detection methood using whole transcriptome sequencing, fusion gene detection software and expression analysis. Methods: RNA sequencing (RNA-seq) for whole transcriptome was performed in 11 patients with hematological malignancies (4 AML, 2 APL, 2 ALL, and 3 CML) having fusion transcripts detected by multiplex RT-PCR (HemaVision, DNA Diagnostic, Risskov, Denmark). Library were prepared with 1 ug of total RNA for each sample by TruSeq mRNA Sample Prep kit (Illumina, San Diego, USA). The libraries were quantified using qPCR according to the qPCR Quantification Protocol Guide (KAPA Library Quantificatoin kits for Illumina Sequecing platforms) and qualified using the TapeStation D1000 ScreenTape (Agilent Technologies, Santa Clara, USA). Indexed libraries were then sequenced using the HiSeq2500 platform (Illumina). The data obtained from the sequencing was analyzed using STAR-Fusion (v1.2.0). Novel fusion transcripts were confirmed by conventional sequencing. Results: Using STAR-Fusion, average number of fusion candidates per sample was 949.8 (range, 286-1752). To exclude false positive results and obtain true positive results, we developed the following filtering algorithm. First filtering criterion is to have more than 5 junction reads, the second is to detect more than one number of spanning reads, and the third criterion is to be in-frame fusion, which type of fusion can actually synthesize intact protein. Fusion candidates remaining after applying the above three filtering criteria were 1-3 per sample. All known fusion transcripts (PML--RARA, RUNX--RUNX1T1, CBFB--MYH11, KMT2A--MLLT3, BCR--ABL1, DEK--NUP214, ETV6--RUNX1) by multiplex RT-PCR were also detected in RNA-seq. In addition, 10 novel fusion transcripts (IGKV4-1--IGKC, IGLV1-47--IGLC2, HBA2--HBB, DEFA3--MBNL1, HBB--HBA2, MPO--HBA2, HBS1L--AHI1, HBB--HBA2, IGKV4-1--IGKC, SS18L1--ADRM1) were detected and among them, 6 fusions were confirmed by conventional sequencing. Conclusions: Whole transcriptome sequencing and optimized filtering algorithms successfully detected all known fusion transcripts and various novel fusions. Disclosures No relevant conflicts of interest to declare.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Christian Secchi ◽  
Paola Benaglio ◽  
Francesca Mulas ◽  
Martina Belli ◽  
Dwayne Stupack ◽  
...  

Abstract Background Adult granulosa cell tumor (aGCT) is a rare type of stromal cell malignant cancer of the ovary characterized by elevated estrogen levels. aGCTs ubiquitously harbor a somatic mutation in FOXL2 gene, Cys134Trp (c.402C < G); however, the general molecular effect of this mutation and its putative pathogenic role in aGCT tumorigenesis is not completely understood. We previously studied the role of FOXL2C134W, its partner SMAD3 and its antagonist FOXO1 in cellular models of aGCT. Methods In this work, seeking more comprehensive profiling of FOXL2C134W transcriptomic effects, we performed an RNA-seq analysis comparing the effect of FOXL2WT/SMAD3 and FOXL2C134W/SMAD3 overexpression in an established human GC line (HGrC1), which is not luteinized, and bears normal alleles of FOXL2. Results Our data shows that FOXL2C134W/SMAD3 overexpression alters the expression of 717 genes. These genes include known and novel FOXL2 targets (TGFB2, SMARCA4, HSPG2, MKI67, NFKBIA) and are enriched for neoplastic pathways (Proteoglycans in Cancer, Chromatin remodeling, Apoptosis, Tissue Morphogenesis, Tyrosine Kinase Receptors). We additionally expressed the FOXL2 antagonistic Forkhead protein, FOXO1. Surprisingly, overexpression of FOXO1 mitigated 40% of the altered genome-wide effects specifically related to FOXL2C134W, suggesting it can be a new target for aGCT treatment. Conclusions Our transcriptomic data provide novel insights into potential genes (FOXO1 regulated) that could be used as biomarkers of efficacy in aGCT patients.


Oncogenesis ◽  
2021 ◽  
Vol 10 (5) ◽  
Author(s):  
Dawei Zhu ◽  
Xing Gu ◽  
Zhengyu Lin ◽  
Dandan Yu ◽  
Jing Wang

AbstractGallbladder cancer (GBC) is a common malignant tumor of the biliary tract, which accounts for 80–95% of biliary tumors worldwide, and is the leading cause of biliary malignant tumor-related death. This study identified PSMC2 as a potential regulator in the development of GBC. We showed that PSMC2 expression in GBC tissues is significantly higher than that in normal tissues, while high PSMC2 expression was correlated with more advanced tumor grade and poorer prognosis. The knockdown of PSMC2 in GBC cells induced significant inhibition of cell proliferation, colony formation and cell motility, while the promotion of cell apoptosis. The construction and observation of the mice xenograft model also confirmed the inhibitory effects of PSMC2 knockdown on GBC development. Moreover, our mechanistic study recognized GNG4 as a potential downstream target of PSMC2, knockdown of which could aggravate the tumor suppression induced by PSMC2 knockdown in vitro and in vivo. In conclusion, for the first time, PSMC2 was revealed as a tumor promotor in the development of GBC, which could regulate cell phenotypes of GBC cells through the interaction with GNG4, and maybe a promising therapeutic target in GBC treatment.


2021 ◽  
Author(s):  
Xue Wang ◽  
Yuetong Wang ◽  
Zhaoyuan Fang ◽  
Hua Wang ◽  
Jian Zhang ◽  
...  

Abstract Somatic mutations of the chromatin remodeling gene ARID2 are observed in about 7% of human lung adenocarcinoma (LUAD). However, the role of ARID2 in the pathogenesis of LUAD remains largely unknown. Here we find that ARID2 expression is decreased during the malignant progression of both human and mice LUAD. Using two KrasG12D-based genetically engineered murine models (GEMM), we demonstrate that ARID2 knockout significantly promotes lung cancer malignant progression and shortens the overall survival. Consistently, ARID2 knockdown significantly promotes cell proliferation in human and mice lung cancer cells. Through integrative analyses of Chip-Seq and RNA-Seq data, we find that Hspa1a is up-regulated by Arid2 loss. Knockdown of Hspa1a specifically inhibits malignant progression of Arid2-deficient but not Arid2-wt lung cancers in both cell lines as well as animal models. Treatment with Hspa1a inhibitor could significantly inhibit the malignant progression of lung cancer with Arid2 deficiency. Together, our findings establish ARID2 as an important tumor suppressor in LUAD with novel mechanistic insights, and further identify HSPA1A as a potential therapeutic target in ARID2-deficient LUAD.


2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii401-iii401
Author(s):  
Sarah Injac ◽  
L Frank Huang ◽  
Stephen Mack ◽  
Frank Braun ◽  
Yuchen Du ◽  
...  

Abstract Medulloblastoma (MB) is the most common malignant brain tumor of childhood. Despite major advances in our understanding of the biology of MB, novel treatments remain urgently needed. Using a chemical-genomics driven drug repositioning strategy, we identified the cardiac glycoside family of compounds as potential treatments for Group 3 MB. We subsequently demonstrated that single-agent treatment with digoxin prolongs survival in a patient-derived xenograft model (PDOX) of Group 3 MB to a degree comparable to radiation therapy, a mainstay in the treatment of MB. Finally, we examined the mechanism of digoxin-mediated cell killing using RNA-seq. This work identified LHX9, a member of the LIM homeobox family of transcription factors, as the gene most significantly down-regulated following treatment (Huang and Injac et al, Sci Trans Medicine, 2018). Homologs of LHX9 play key roles in cerebellar development via spatially and temporally restricted expression and LHX9 has been proposed as a core transcription factor (TF) in the regulatory circuitry of Group 3 tumors. Loss of function of other core TFs has been shown to impact MB growth. The role of LHX9 in MB, however, has not been previously experimentally evaluated. We now report that knockdown of LHX9 in MB-derived cell lines results in marked growth inhibition raising the possibility that loss of LHX9 plays a major role in digoxin-mediated cell killing and that LHX9 represents a key dependency required for the growth of Group 3 MB. Clinical targeting of core TFs would represent a novel approach to targeting this devastating disease.


2009 ◽  
Vol 23 (1) ◽  
pp. 98-104 ◽  
Author(s):  
Alexandra C Hristov ◽  
Leslie Cope ◽  
Francescopaolo Di Cello ◽  
Marcelo Delos Reyes ◽  
Mansher Singh ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 3055
Author(s):  
Elisabetta Stanzani ◽  
Leire Pedrosa ◽  
Guillaume Bourmeau ◽  
Oceane Anezo ◽  
Aleix Noguera-Castells ◽  
...  

Therapeutic resistance after multimodal therapy is the most relevant cause of glioblastoma (GBM) recurrence. Extensive cellular heterogeneity, mainly driven by the presence of GBM stem-like cells (GSCs), strongly correlates with patients’ prognosis and limited response to therapies. Defining the mechanisms that drive stemness and control responsiveness to therapy in a GSC-specific manner is therefore essential. Here we investigated the role of integrin a6 (ITGA6) in controlling stemness and resistance to radiotherapy in proneural and mesenchymal GSCs subtypes. Using cell sorting, gene silencing, RNA-Seq, and in vitro assays, we verified that ITGA6 expression seems crucial for proliferation and stemness of proneural GSCs, while it appears not to be relevant in mesenchymal GSCs under basal conditions. However, when challenged with a fractionated protocol of radiation therapy, comparable to that used in the clinical setting, mesenchymal GSCs were dependent on integrin a6 for survival. Specifically, GSCs with reduced levels of ITGA6 displayed a clear reduction of DNA damage response and perturbation of cell cycle pathways. These data indicate that ITGA6 inhibition is able to overcome the radioresistance of mesenchymal GSCs, while it reduces proliferation and stemness in proneural GSCs. Therefore, integrin a6 controls crucial characteristics across GBM subtypes in GBM heterogeneous biology and thus may represent a promising target to improve patient outcomes.


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