Identification and Characterization of RET Fusions in Advanced Colorectal Cancer
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Influencers on Thyroid Cancer Onset: Molecular Genetic Basis
G C A T T A C G G C A T genes Review Influencers on Thyroid Cancer Onset: Molecular Genetic Basis Berta Luzón-Toro 1,2, Raquel María Fernández 1,2, Leticia Villalba-Benito 1,2, Ana Torroglosa 1,2, Guillermo Antiñolo 1,2 and Salud Borrego 1,2,* 1 Department of Maternofetal Medicine, Genetics and Reproduction, Institute of Biomedicine of Seville (IBIS), University Hospital Virgen del Rocío/CSIC/University of Seville, 41013 Seville, Spain; [email protected] (B.L.-T.); [email protected] (R.M.F.); [email protected] (L.V.-B.); [email protected] (A.T.); [email protected] (G.A.) 2 Centre for Biomedical Network Research on Rare Diseases (CIBERER), 41013 Seville, Spain * Correspondence: [email protected]; Tel.: +34-955-012641 Received: 3 September 2019; Accepted: 6 November 2019; Published: 8 November 2019 Abstract: Thyroid cancer, a cancerous tumor or growth located within the thyroid gland, is the most common endocrine cancer. It is one of the few cancers whereby incidence rates have increased in recent years. It occurs in all age groups, from children through to seniors. Most studies are focused on dissecting its genetic basis, since our current knowledge of the genetic background of the different forms of thyroid cancer is far from complete, which poses a challenge for diagnosis and prognosis of the disease. In this review, we describe prevailing advances and update our understanding of the molecular genetics of thyroid cancer, focusing on the main genes related with the pathology, including the different noncoding RNAs associated with the disease. -
Genome-Wide Analysis of Host-Chromosome Binding Sites For
Lu et al. Virology Journal 2010, 7:262 http://www.virologyj.com/content/7/1/262 RESEARCH Open Access Genome-wide analysis of host-chromosome binding sites for Epstein-Barr Virus Nuclear Antigen 1 (EBNA1) Fang Lu1, Priyankara Wikramasinghe1, Julie Norseen1,2, Kevin Tsai1, Pu Wang1, Louise Showe1, Ramana V Davuluri1, Paul M Lieberman1* Abstract The Epstein-Barr Virus (EBV) Nuclear Antigen 1 (EBNA1) protein is required for the establishment of EBV latent infection in proliferating B-lymphocytes. EBNA1 is a multifunctional DNA-binding protein that stimulates DNA replication at the viral origin of plasmid replication (OriP), regulates transcription of viral and cellular genes, and tethers the viral episome to the cellular chromosome. EBNA1 also provides a survival function to B-lymphocytes, potentially through its ability to alter cellular gene expression. To better understand these various functions of EBNA1, we performed a genome-wide analysis of the viral and cellular DNA sites associated with EBNA1 protein in a latently infected Burkitt lymphoma B-cell line. Chromatin-immunoprecipitation (ChIP) combined with massively parallel deep-sequencing (ChIP-Seq) was used to identify cellular sites bound by EBNA1. Sites identified by ChIP- Seq were validated by conventional real-time PCR, and ChIP-Seq provided quantitative, high-resolution detection of the known EBNA1 binding sites on the EBV genome at OriP and Qp. We identified at least one cluster of unusually high-affinity EBNA1 binding sites on chromosome 11, between the divergent FAM55 D and FAM55B genes. A con- sensus for all cellular EBNA1 binding sites is distinct from those derived from the known viral binding sites, sug- gesting that some of these sites are indirectly bound by EBNA1. -
RET/PTC Activation in Papillary Thyroid Carcinoma
European Journal of Endocrinology (2006) 155 645–653 ISSN 0804-4643 INVITED REVIEW RET/PTC activation in papillary thyroid carcinoma: European Journal of Endocrinology Prize Lecture Massimo Santoro1, Rosa Marina Melillo1 and Alfredo Fusco1,2 1Istituto di Endocrinologia ed Oncologia Sperimentale del CNR ‘G. Salvatore’, c/o Dipartimento di Biologia e Patologia Cellulare e Molecolare, University ‘Federico II’, Via S. Pansini, 5, 80131 Naples, Italy and 2NOGEC (Naples Oncogenomic Center)–CEINGE, Biotecnologie Avanzate & SEMM, European School of Molecular Medicine, Naples, Italy (Correspondence should be addressed to M Santoro; Email: [email protected]) Abstract Papillary thyroid carcinoma (PTC) is frequently associated with RET gene rearrangements that generate the so-called RET/PTC oncogenes. In this review, we examine the data about the mechanisms of thyroid cell transformation, activation of downstream signal transduction pathways and modulation of gene expression induced by RET/PTC. These findings have advanced our understanding of the processes underlying PTC formation and provide the basis for novel therapeutic approaches to this disease. European Journal of Endocrinology 155 645–653 RET/PTC rearrangements in papillary growth factor, have been described in a fraction of PTC thyroid carcinoma patients (7). As illustrated in figure 1, many different genes have been found to be rearranged with RET in The rearranged during tansfection (RET) proto-onco- individual PTC patients. RET/PTC1 and 3 account for gene, located on chromosome 10q11.2, was isolated in more than 90% of all rearrangements and are hence, by 1985 and shown to be activated by a DNA rearrange- far, the most frequent variants (8–11). They result from ment (rearranged during transfection) (1).As the fusion of RET to the coiled-coil domain containing illustrated in Fig. -
RET Gene Fusions in Malignancies of the Thyroid and Other Tissues
G C A T T A C G G C A T genes Review RET Gene Fusions in Malignancies of the Thyroid and Other Tissues Massimo Santoro 1,*, Marialuisa Moccia 1, Giorgia Federico 1 and Francesca Carlomagno 1,2 1 Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, 80131 Naples, Italy; [email protected] (M.M.); [email protected] (G.F.); [email protected] (F.C.) 2 Institute of Endocrinology and Experimental Oncology of the CNR, 80131 Naples, Italy * Correspondence: [email protected] Received: 10 March 2020; Accepted: 12 April 2020; Published: 15 April 2020 Abstract: Following the identification of the BCR-ABL1 (Breakpoint Cluster Region-ABelson murine Leukemia) fusion in chronic myelogenous leukemia, gene fusions generating chimeric oncoproteins have been recognized as common genomic structural variations in human malignancies. This is, in particular, a frequent mechanism in the oncogenic conversion of protein kinases. Gene fusion was the first mechanism identified for the oncogenic activation of the receptor tyrosine kinase RET (REarranged during Transfection), initially discovered in papillary thyroid carcinoma (PTC). More recently, the advent of highly sensitive massive parallel (next generation sequencing, NGS) sequencing of tumor DNA or cell-free (cfDNA) circulating tumor DNA, allowed for the detection of RET fusions in many other solid and hematopoietic malignancies. This review summarizes the role of RET fusions in the pathogenesis of human cancer. Keywords: kinase; tyrosine kinase inhibitor; targeted therapy; thyroid cancer 1. The RET Receptor RET (REarranged during Transfection) was initially isolated as a rearranged oncoprotein upon the transfection of a human lymphoma DNA [1]. -
RET Aberrations in Diverse Cancers: Next-Generation Sequencing of 4,871 Patients Shumei Kato1, Vivek Subbiah2, Erica Marchlik3, Sheryl K
Published OnlineFirst September 28, 2016; DOI: 10.1158/1078-0432.CCR-16-1679 Personalized Medicine and Imaging Clinical Cancer Research RET Aberrations in Diverse Cancers: Next-Generation Sequencing of 4,871 Patients Shumei Kato1, Vivek Subbiah2, Erica Marchlik3, Sheryl K. Elkin3, Jennifer L. Carter3, and Razelle Kurzrock1 Abstract Purpose: Aberrations in genetic sequences encoding the tyrosine (52/88)], cell cycle–associated genes [39.8% (35/88)], the PI3K kinase receptor RET lead to oncogenic signaling that is targetable signaling pathway [30.7% (27/88)], MAPK effectors [22.7% with anti-RET multikinase inhibitors. Understanding the compre- (20/88)], or other tyrosine kinase families [21.6% (19/88)]. hensive genomic landscape of RET aberrations across multiple RET fusions were mutually exclusive with MAPK signaling cancers may facilitate clinical trial development targeting RET. pathway alterations. All 72 patients harboring coaberrations Experimental Design: We interrogated the molecular portfolio had distinct genomic portfolios, and most [98.6% (71/72)] of 4,871 patients with diverse malignancies for the presence of had potentially targetable coaberrations with either an FDA- RET aberrations using Clinical Laboratory Improvement Amend- approved or an investigational agent. Two cases with lung ments–certified targeted next-generation sequencing of 182 or (KIF5B-RET) and medullary thyroid carcinoma (RET M918T) 236 gene panels. thatrespondedtoavandetanib(multikinase RET inhibitor)- Results: Among diverse cancers, RET aberrations were iden- containing regimen are shown. tified in 88 cases [1.8% (88/4, 871)], with mutations being Conclusions: RET aberrations were seen in 1.8% of diverse the most common alteration [38.6% (34/88)], followed cancers, with most cases harboring actionable, albeit dis- by fusions [30.7% (27/88), including a novel SQSTM1-RET] tinct, coexisting alterations. -
Mouse Ccdc6 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Ccdc6 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Ccdc6 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Ccdc6 gene (NCBI Reference Sequence: NM_001111121 ; Ensembl: ENSMUSG00000048701 ) is located on Mouse chromosome 10. 9 exons are identified, with the ATG start codon in exon 1 and the TAA stop codon in exon 9 (Transcript: ENSMUST00000147545). Exon 5 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Ccdc6 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-24G13 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Exon 5 starts from about 47.33% of the coding region. The knockout of Exon 5 will result in frameshift of the gene. The size of intron 4 for 5'-loxP site insertion: 1986 bp, and the size of intron 5 for 3'-loxP site insertion: 5758 bp. The size of effective cKO region: ~661 bp. The cKO region does not have any other known gene. Page 1 of 7 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele gRNA region 5' gRNA region 3' 1 4 5 9 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Ccdc6 Homology arm cKO region loxP site Page 2 of 7 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
NSCLC Mutated Isoforms of CCDC6 Affect the Intracellular Distribution Of
cancers Article NSCLC Mutated Isoforms of CCDC6 Affect the Intracellular Distribution of the Wild Type Protein Promoting Cisplatinum Resistance and PARP Inhibitors Sensitivity in Lung Cancer Cells Aniello Cerrato *, Francesco Morra, Imma Di Domenico and Angela Celetti * Institute for the Experimental Endocrinology and Oncology “Gaetano Salvatore”, Italian National Council of Research, Via S. Pansini 5, 80131 Naples, Italy; [email protected] (F.M.); [email protected] (I.D.D.) * Correspondence: [email protected] (A.C.); [email protected] (A.C.) Received: 21 November 2019; Accepted: 17 December 2019; Published: 21 December 2019 Abstract: CCDC6 is implicated in cell cycle checkpoints and DNA damage repair by homologous recombination (HR). In NSCLC, CCDC6 is barely expressed in about 30% of patients and CCDC6 gene rearrangements with RET and ROS kinases are detected in about 1% of patients. Recently, CCDC6 point-mutations naming E227K, S351Y, N394Y, and T462A have been identified in primary NSCLC. In this work, we analyze the effects exerted by the CCDC6 mutated isoforms on lung cancer cells. By pull-down experiments and immunofluorescence, we evaluated the biochemical and morphological effects of CCDC6 lung-mutants on the CCDC6 wild type protein. By using two HR-reporter assays, we analyzed the effect of CCDC6 lung-mutants in perturbing CCDC6 physiology in the HR process. Finally, by cell-titer assay, we evaluated the response to the treatment with different drugs in lung cancer cells expressing CCDC6 mutants. This work shows that the CCDC6 mutated and truncated isoforms, identified so far in NSCLC, affected the intracellular distribution of the wild type protein and impaired the CCDC6 function in the HR process, ultimately inducing cisplatinum resistance and PARP-inhibitors sensitivity in lung cancer cells. -
Accelerating Functional Gene Discovery in Osteoarthritis
The Jackson Laboratory The Mouseion at the JAXlibrary Faculty Research 2021 Faculty Research 1-20-2021 Accelerating functional gene discovery in osteoarthritis. Natalie C Butterfield Katherine F Curry Julia Steinberg Hannah Dewhurst Davide Komla-Ebri See next page for additional authors Follow this and additional works at: https://mouseion.jax.org/stfb2021 Part of the Life Sciences Commons, and the Medicine and Health Sciences Commons Authors Natalie C Butterfield, Katherine F Curry, Julia Steinberg, Hannah Dewhurst, Davide Komla-Ebri, Naila S Mannan, Anne-Tounsia Adoum, Victoria D Leitch, John G Logan, Julian A Waung, Elena Ghirardello, Lorraine Southam, Scott E Youlten, J Mark Wilkinson, Elizabeth A McAninch, Valerie E Vancollie, Fiona Kussy, Jacqueline K White, Christopher J Lelliott, David J Adams, Richard Jacques, Antonio C Bianco, Alan Boyde, Eleftheria Zeggini, Peter I Croucher, Graham R Williams, and J H Duncan Bassett ARTICLE https://doi.org/10.1038/s41467-020-20761-5 OPEN Accelerating functional gene discovery in osteoarthritis Natalie C. Butterfield 1, Katherine F. Curry1, Julia Steinberg 2,3,4, Hannah Dewhurst1, Davide Komla-Ebri 1, Naila S. Mannan1, Anne-Tounsia Adoum1, Victoria D. Leitch 1, John G. Logan1, Julian A. Waung1, Elena Ghirardello1, Lorraine Southam2,3, Scott E. Youlten 5, J. Mark Wilkinson 6,7, Elizabeth A. McAninch 8, Valerie E. Vancollie 3, Fiona Kussy3, Jacqueline K. White3,9, Christopher J. Lelliott 3, David J. Adams 3, Richard Jacques 10, Antonio C. Bianco11, Alan Boyde 12, ✉ ✉ Eleftheria Zeggini 2,3, Peter I. Croucher 5, Graham R. Williams 1,13 & J. H. Duncan Bassett 1,13 1234567890():,; Osteoarthritis causes debilitating pain and disability, resulting in a considerable socio- economic burden, yet no drugs are available that prevent disease onset or progression. -
Pattern Discovery and Cancer Gene Identification in Integrated Cancer
Pattern discovery and cancer gene identification in integrated cancer genomic data Qianxing Moa,b, Sijian Wangc, Venkatraman E. Seshana, Adam B. Olshend, Nikolaus Schultze, Chris Sandere, R. Scott Powersf, Marc Ladanyig, and Ronglai Shena,1 aDepartment of Epidemiology and Biostatistics, eComputational Biology Program, and gDepartment of Pathology and Human Oncology and Pathogenesis Program, Memorial Sloan–Kettering Cancer Center, New York, NY 10065; bDepartment of Medicine and Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030; cDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI 53792; dDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA 94107; and fCancer Genome Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11797 Edited by Peter J. Bickel, University of California, Berkeley, CA, and approved December 19, 2012 (received for review May 27, 2012) Large-scale integrated cancer genome characterization efforts in- integrates the information to extract biological principles from the cluding the cancer genome atlas and the cancer cell line encyclo- massive amount of data to provide useful insights for advancing pedia have created unprecedented opportunities to study cancer diagnostic, prognostic, and therapeutic strategies. biology in the context of knowing the entire catalog of genetic In a previous publication (8), we proposed an integrative alterations. A clinically important challenge is to discover cancer clustering framework -
Systematic Investigation of Promoter Substitutions Resulting from Somatic
www.nature.com/scientificreports OPEN Systematic investigation of promoter substitutions resulting from somatic intrachromosomal structural alterations in diverse human cancers Babak Alaei‑Mahabadi, Kerryn Elliott & Erik Larsson* One of the ways in which genes can become activated in tumors is by somatic structural genomic rearrangements leading to promoter swapping events, typically in the context of gene fusions that cause a weak promoter to be substituted for a strong promoter. While identifable by whole genome sequencing, limited availability of this type of data has prohibited comprehensive study of the phenomenon. Here, we leveraged the fact that copy number alterations (CNAs) arise as a result of structural alterations in DNA, and that they may therefore be informative of gene rearrangements, to pinpoint recurrent promoter swapping at a previously intractable scale. CNA data from nearly 9500 human tumors was combined with transcriptomic sequencing data to identify several cases of recurrent activating intrachromosomal promoter substitution events, either involving proper gene fusions or juxtaposition of strong promoters to gene upstream regions. Our computational screen demonstrates that a combination of CNA and expression data can be useful for identifying novel fusion events with potential driver roles in large cancer cohorts. Copy number alterations (CNAs) signifcantly contribute to cancer development, usually by causing oncogene amplifcation or tumor suppressor deletion 1–3. Well-characterized examples of cancer driver events involving CNAs are CDKN2A4 and PTEN5 deletions or MYC6, EGFR7 and ERBB22,7 amplifcations. With the availability of high-resolution SNP arrays, several studies have comprehensively investigated these events in cancer, mainly focusing on gene amplitude changes8,9. CNAs are a consequence of changes in chromosome structure 10. -
Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations Fall 2010 Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress Renuka Nayak University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Computational Biology Commons, and the Genomics Commons Recommended Citation Nayak, Renuka, "Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress" (2010). Publicly Accessible Penn Dissertations. 1559. https://repository.upenn.edu/edissertations/1559 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/1559 For more information, please contact [email protected]. Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress Abstract Genes interact in networks to orchestrate cellular processes. Here, we used coexpression networks based on natural variation in gene expression to study the functions and interactions of human genes. We asked how these networks change in response to stress. First, we studied human coexpression networks at baseline. We constructed networks by identifying correlations in expression levels of 8.9 million gene pairs in immortalized B cells from 295 individuals comprising three independent samples. The resulting networks allowed us to infer interactions between biological processes. We used the network to predict the functions of poorly-characterized human genes, and provided some experimental support. Examining genes implicated in disease, we found that IFIH1, a diabetes susceptibility gene, interacts with YES1, which affects glucose transport. Genes predisposing to the same diseases are clustered non-randomly in the network, suggesting that the network may be used to identify candidate genes that influence disease susceptibility. -
Identification of Novel Fusion Transcripts in High Grade Serous
International Journal of Molecular Sciences Article Identification of Novel Fusion Transcripts in High Grade Serous Ovarian Cancer Andreea Newtson 1,* , Henry Reyes 2, Eric J. Devor 3,4 , Michael J. Goodheart 1,3 and Jesus Gonzalez Bosquet 1,3 1 Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA; [email protected] (M.J.G.); [email protected] (J.G.B.) 2 Department of Obstetrics and Gynecology, University of Buffalo, Buffalo, NY 14260, USA; [email protected] 3 Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA; [email protected] 4 Department of Obstetrics and Gynecology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA * Correspondence: [email protected]; Tel.: +1-319-356-2015 Abstract: Fusion genes are structural chromosomal rearrangements resulting in the exchange of DNA sequences between genes. This results in the formation of a new combined gene. They have been implicated in carcinogenesis in a number of different cancers, though they have been understudied in high grade serous ovarian cancer. This study used high throughput tools to compare the transcrip- tome of high grade serous ovarian cancer and normal fallopian tubes in the interest of identifying unique fusion transcripts within each group. Indeed, we found that there were significantly more fusion transcripts in the cancer samples relative to the normal fallopian tubes. Following this, the Citation: Newtson, A.; Reyes, H.; role of fusion transcripts in chemo-response and overall survival was investigated. This led to the Devor, E.J.; Goodheart, M.J.; Bosquet, identification of fusion transcripts significantly associated with overall survival.