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Published in: BMC Cancer 1/2016

Open Access 01-12-2016 | Research article

Systematic interactome mapping of acute lymphoblastic leukemia cancer gene products reveals EXT-1 tumor suppressor as a Notch1 and FBWX7 common interactor

Authors: Sarah Daakour, Leon Juvenal Hajingabo, Despoina Kerselidou, Aurelie Devresse, Richard Kettmann, Nicolas Simonis, Franck Dequiedt, Jean-Claude Twizere

Published in: BMC Cancer | Issue 1/2016

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Abstract

Background

Perturbed genotypes in cancer can now be identified by whole genome sequencing of large number of diverse tumor samples, and observed gene mutations can be used for prognosis and classification of cancer subtypes. Although mutations in a few causative genes are directly linked to key signaling pathways perturbation, a global understanding of how known cancer genes drive oncogenesis in human is difficult to assess.

Methods

We collected available information about mutated genes in Acute Lymphoblastic Leukemia (ALL). Validated human protein interactions (PPI) were collected from IntAct, HPRD and BioGRID interactomics databases, or obtained using yeast two-hybrid screening assay.

Results

We have mapped interconnections between 116 cancer census gene products associated with ALL. Combining protein-protein interactions data and cancer-specific gene mutations information, we observed that 63 ALL-gene products are interconnected and identified 37 human proteins interacting with at least 2 ALL-gene products. We highlighted exclusive and coexistence genetic alterations in key signaling pathways including the PI3K/AKT and the NOTCH pathways. We then used different cell lines and reporter assay systems to validate the involvement of EXT1 in the Notch pathway.

Conclusion

We propose that novel ALL-gene candidates can be identified based on their functional association with well-known cancer genes. We identified EXT1, a gene not previously linked to ALL via mutations, as a common interactor of NOTCH1 and FBXW7 regulating the NOTCH pathway in an FBXW7-dependend manner.
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Literature
1.
go back to reference Forbes SA et al. COSMIC: exploring the world’s knowledge of somatic mutations in human cancer. Nucleic Acids Res. 2015;43:D805–11.CrossRefPubMed Forbes SA et al. COSMIC: exploring the world’s knowledge of somatic mutations in human cancer. Nucleic Acids Res. 2015;43:D805–11.CrossRefPubMed
3.
go back to reference Hindorff LA et al. Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. Proc Natl Acad Sci. 2009;106:9362–7.CrossRefPubMedPubMedCentral Hindorff LA et al. Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. Proc Natl Acad Sci. 2009;106:9362–7.CrossRefPubMedPubMedCentral
4.
go back to reference March HN et al. Insertional mutagenesis identifies multiple networks of cooperating genes driving intestinal tumorigenesis. Nat Genet. 2011;43:1202–9.CrossRefPubMedPubMedCentral March HN et al. Insertional mutagenesis identifies multiple networks of cooperating genes driving intestinal tumorigenesis. Nat Genet. 2011;43:1202–9.CrossRefPubMedPubMedCentral
5.
go back to reference Starr TK et al. A Transposon-Based Genetic Screen in Mice Identifies Genes Altered in Colorectal Cancer. Science (New York, NY). 2009;323:1747–50.CrossRefPubMedCentral Starr TK et al. A Transposon-Based Genetic Screen in Mice Identifies Genes Altered in Colorectal Cancer. Science (New York, NY). 2009;323:1747–50.CrossRefPubMedCentral
6.
go back to reference Takeda H et al. Transposon mutagenesis identifies genes and evolutionary forces driving gastrointestinal tract tumor progression. Nat Genet. 2015;47:142–50.CrossRefPubMed Takeda H et al. Transposon mutagenesis identifies genes and evolutionary forces driving gastrointestinal tract tumor progression. Nat Genet. 2015;47:142–50.CrossRefPubMed
11.
go back to reference Parsons DW et al. The genetic landscape of the childhood cancer medulloblastoma. Science (New York, NY). 2011;331:435–9.CrossRef Parsons DW et al. The genetic landscape of the childhood cancer medulloblastoma. Science (New York, NY). 2011;331:435–9.CrossRef
12.
go back to reference Tomasetti C, Marchionni L, Nowak MA, Parmigiani G, Vogelstein B. Only three driver gene mutations are required for the development of lung and colorectal cancers. Proc Natl Acad Sci. 2015;112:118–23.CrossRefPubMed Tomasetti C, Marchionni L, Nowak MA, Parmigiani G, Vogelstein B. Only three driver gene mutations are required for the development of lung and colorectal cancers. Proc Natl Acad Sci. 2015;112:118–23.CrossRefPubMed
13.
go back to reference Shtivelman E, Lifshitz B, Gale RP, Canaani E. Fused transcript of abl and bcr genes in chronic myelogenous leukaemia. Nature. 1985;315(6020):550–4.CrossRefPubMed Shtivelman E, Lifshitz B, Gale RP, Canaani E. Fused transcript of abl and bcr genes in chronic myelogenous leukaemia. Nature. 1985;315(6020):550–4.CrossRefPubMed
15.
16.
go back to reference Torrano V, Procter J, Cardus P, Greaves M, Ford AM. ETV6-RUNX1 promotes survival of early B lineage progenitor cells via a dysregulated erythropoietin receptor. Blood. 2011;118:4910–8.CrossRefPubMed Torrano V, Procter J, Cardus P, Greaves M, Ford AM. ETV6-RUNX1 promotes survival of early B lineage progenitor cells via a dysregulated erythropoietin receptor. Blood. 2011;118:4910–8.CrossRefPubMed
17.
go back to reference Zhou M-h et al. Detection of ETV6 gene rearrangements in adult acute lymphoblastic leukemia. Ann Hematol. 2012;91:1235–43.CrossRefPubMed Zhou M-h et al. Detection of ETV6 gene rearrangements in adult acute lymphoblastic leukemia. Ann Hematol. 2012;91:1235–43.CrossRefPubMed
18.
go back to reference Tijchon E, Havinga J, Van Leeuwen FN, Scheijen B. B-lineage transcription factors and cooperating gene lesions required for leukemia development. Leukemia. 2013;27:541–52.CrossRefPubMed Tijchon E, Havinga J, Van Leeuwen FN, Scheijen B. B-lineage transcription factors and cooperating gene lesions required for leukemia development. Leukemia. 2013;27:541–52.CrossRefPubMed
20.
go back to reference Hajingabo LJ et al. Predicting interactome network perturbations in human cancer: application to gene fusions in acute lymphoblastic leukemia. Mol Biol Cell. 2014;25:3973–85.CrossRefPubMedPubMedCentral Hajingabo LJ et al. Predicting interactome network perturbations in human cancer: application to gene fusions in acute lymphoblastic leukemia. Mol Biol Cell. 2014;25:3973–85.CrossRefPubMedPubMedCentral
21.
go back to reference Jeong H, Mason SP, Barabasi AL, Oltvai ZN. Lethality and centrality in protein networks. Nature. 2001;411:41–2.CrossRefPubMed Jeong H, Mason SP, Barabasi AL, Oltvai ZN. Lethality and centrality in protein networks. Nature. 2001;411:41–2.CrossRefPubMed
23.
go back to reference Kerrien S et al. IntAct-open source resource for molecular interaction data. Nucleic Acids Res. 2007;35:D561–5.CrossRefPubMed Kerrien S et al. IntAct-open source resource for molecular interaction data. Nucleic Acids Res. 2007;35:D561–5.CrossRefPubMed
24.
go back to reference Mishra GR et al. Human protein reference database-2006 update. Nucleic Acids Res. 2006;34:D411–4.CrossRefPubMed Mishra GR et al. Human protein reference database-2006 update. Nucleic Acids Res. 2006;34:D411–4.CrossRefPubMed
25.
go back to reference Breitkreutz B-J et al. The BioGRID Interaction Database: 2008 update. Nucleic Acids Res. 2008;36:D637–40.CrossRefPubMed Breitkreutz B-J et al. The BioGRID Interaction Database: 2008 update. Nucleic Acids Res. 2008;36:D637–40.CrossRefPubMed
26.
go back to reference Cline MS et al. Integration of biological networks and gene expression data using Cytoscape. Nat Protocols. 2007;2:2366–82.CrossRefPubMed Cline MS et al. Integration of biological networks and gene expression data using Cytoscape. Nat Protocols. 2007;2:2366–82.CrossRefPubMed
27.
go back to reference Rual J-F et al. Towards a proteome-scale map of the human protein-protein interaction network. Nature. 2005;437:1173–8.CrossRefPubMed Rual J-F et al. Towards a proteome-scale map of the human protein-protein interaction network. Nature. 2005;437:1173–8.CrossRefPubMed
29.
go back to reference Aerts S et al. Gene prioritization through genomic data fusion. Nat Biotech. 2006;24:537–44.CrossRef Aerts S et al. Gene prioritization through genomic data fusion. Nat Biotech. 2006;24:537–44.CrossRef
31.
go back to reference Weng AP et al. Activating Mutations of NOTCH1 in Human T Cell Acute Lymphoblastic Leukemia. Science. 2004;306:269–71.CrossRefPubMed Weng AP et al. Activating Mutations of NOTCH1 in Human T Cell Acute Lymphoblastic Leukemia. Science. 2004;306:269–71.CrossRefPubMed
33.
go back to reference Kabir N, Rönnstrand L, Kazi J. FLT3 mutations in patients with childhood acute lymphoblastic leukemia (ALL). Med Oncol. 2013;30:1–3. Kabir N, Rönnstrand L, Kazi J. FLT3 mutations in patients with childhood acute lymphoblastic leukemia (ALL). Med Oncol. 2013;30:1–3.
34.
go back to reference Serinsöz E et al. Aberrant expression of β-catenin discriminates acute myeloid leukaemia from acute lymphoblastic leukaemia. Br J Haematol. 2004;126:313–9.CrossRefPubMed Serinsöz E et al. Aberrant expression of β-catenin discriminates acute myeloid leukaemia from acute lymphoblastic leukaemia. Br J Haematol. 2004;126:313–9.CrossRefPubMed
36.
37.
go back to reference Ren R. Mechanisms of BCR-ABL in the pathogenesis of chronic myelogenous leukaemia. Nat Rev Cancer. 2005;5:172–83.CrossRefPubMed Ren R. Mechanisms of BCR-ABL in the pathogenesis of chronic myelogenous leukaemia. Nat Rev Cancer. 2005;5:172–83.CrossRefPubMed
38.
go back to reference Secker-Walker LM et al. Variable Philadelphia breakpoints and potential lineage restriction of bcr rearrangement in acute lymphoblastic leukemia. Blood. 1988;72:784–91.PubMed Secker-Walker LM et al. Variable Philadelphia breakpoints and potential lineage restriction of bcr rearrangement in acute lymphoblastic leukemia. Blood. 1988;72:784–91.PubMed
39.
go back to reference de Oliveira GAP, Rangel LP, Costa DC, Silva JL. Misfolding, Aggregation, and Disordered Segments in c-Abl and p53 in Human Cancer. Frontiers in Oncology. 2015;5:97.CrossRefPubMedPubMedCentral de Oliveira GAP, Rangel LP, Costa DC, Silva JL. Misfolding, Aggregation, and Disordered Segments in c-Abl and p53 in Human Cancer. Frontiers in Oncology. 2015;5:97.CrossRefPubMedPubMedCentral
41.
go back to reference Simmons AD et al. A Direct Interaction Between EXT Proteins and Glycosyltransferases is Defective in Hereditary Multiple Exostoses. Hum Mol Genet. 1999;8:2155–64.CrossRefPubMed Simmons AD et al. A Direct Interaction Between EXT Proteins and Glycosyltransferases is Defective in Hereditary Multiple Exostoses. Hum Mol Genet. 1999;8:2155–64.CrossRefPubMed
42.
43.
go back to reference Zhang F et al. Exome Sequencing and Functional Analysis Identifies a Novel Mutation in EXT1 Gene That Causes Multiple Osteochondromas. PLoS One. 2013;8:e72316.CrossRefPubMedPubMedCentral Zhang F et al. Exome Sequencing and Functional Analysis Identifies a Novel Mutation in EXT1 Gene That Causes Multiple Osteochondromas. PLoS One. 2013;8:e72316.CrossRefPubMedPubMedCentral
44.
go back to reference Crusio KM, King B, Reavie LB, Aifantis I. The ubiquitous nature of cancer: the role of the SCF (Fbw7) complex in development and transformation. Oncogene. 2010;29:4865–73.CrossRefPubMedPubMedCentral Crusio KM, King B, Reavie LB, Aifantis I. The ubiquitous nature of cancer: the role of the SCF (Fbw7) complex in development and transformation. Oncogene. 2010;29:4865–73.CrossRefPubMedPubMedCentral
Metadata
Title
Systematic interactome mapping of acute lymphoblastic leukemia cancer gene products reveals EXT-1 tumor suppressor as a Notch1 and FBWX7 common interactor
Authors
Sarah Daakour
Leon Juvenal Hajingabo
Despoina Kerselidou
Aurelie Devresse
Richard Kettmann
Nicolas Simonis
Franck Dequiedt
Jean-Claude Twizere
Publication date
01-12-2016
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2016
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-016-2374-2

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