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Enregistrement W2002198896 · doi:10.1038/mt.2011.253

Interfering With Tumor Pathways That Augment Viral Oncolysis

2011· article· en· W2002198896 sur OpenAlexaff
John C. Bell

Notice bibliographique

RevueMolecular Therapy · 2011
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueVirus-based gene therapy research
Établissements canadiensOttawa HospitalOntario Institute for Cancer Research
Organismes subventionnairesnon disponible
Mots-clésAugmentVirologyBiologyComputational biology

Résumé

récupéré en direct d'OpenAlex

I have always encouraged my graduate students to take advanced virology courses, not just to gain an understanding of the biology of these highly evolved parasites but because the study of virus–host interactions has formed, and continues to form, the basis of much of our understanding of the molecular mechanisms that control mammalian cell growth and development. The apparent genetic simplicity of viruses belies the sophistication of the strategies they use to co-opt their much more complex cellular hosts by exploiting the signaling pathways that regulate mammalian cell growth. A recent article in Cancer Cell by Mahoney and colleagues1Mahoney DJ Lefebvre C Allan K Brun J Sanaei CA Baird S et al.Virus-tumor interactome screen reveals ER stress response can reprogram resistant cancers for oncolytic virus-triggered caspase-2 cell death.Cancer Cell. 2011; 20: 443-456Abstract Full Text Full Text PDF PubMed Scopus (80) Google Scholar demonstrates that we still have much to learn from studying the interactions between viruses and the cells they infect. The study describes a functional genomics approach that identified unexpected cancer-specific pathways that can be manipulated to augment oncolytic virus killing of tumor cells. Studying viruses has led to many of the major breakthroughs in our understanding of the molecular biology of the cell. For example, Richard Roberts and Phil Sharp discovered the principles of gene splicing by studying the biology of adenoviruses,2Sharp PA Split genes and RNA splicing.Cell. 1994; 77: 805-815Abstract Full Text PDF PubMed Scopus (449) Google Scholar and much of our current understanding of the regulation of mammalian protein translation and the discovery of internal ribosome entry site elements by Nahum Sonenberg's group comes from studying picornaviruses.3Topisirovic I Svitkin YV Sonenberg N Shatkin AJ Cap and cap-binding proteins in the control of gene expression.Wiley Interdiscip Rev RNA. 2011; 2: 277-298Crossref PubMed Scopus (267) Google Scholar,4Svitkin YV Imataka H Khaleghpour K Kahvejian A Liebig HD Sonenberg N Poly(A)-binding protein interaction with elF4G stimulates picornavirus IRES-dependent translation.RNA. 2001; 7: 1743-1752Crossref PubMed Scopus (335) Google Scholar Principles of DNA replication and DNA repair were deciphered using viruses as probes, and the cellular Abl, Src, and Ras oncogenes were originally identified as the transforming components of oncogenic retroviruses.5McCubrey J Steelman L Wang X Algate P Hoyle P White C et al.Differential-effects of viral and cellular oncogenes on the growth factor-dependency of hematopoietic-cells.Int J Oncol. 1995; 7: 295-310PubMed Google Scholar Knowing that viruses exploit many of the key pathways that control cell growth and that dysregulation of these same pathways contributes to malignancies has led to efforts to engineer viruses to target cancer cells.6Parato KA Senger D Forsyth PA Bell JC Recent progress in the battle between oncolytic viruses and tumours.Nat Rev Cancer. 2005; 5: 965-976Crossref PubMed Scopus (453) Google Scholar,7Guo ZS Thorne SH Bartlett DL Oncolytic virotherapy: molecular targets in tumor-selective replication and carrier cell–mediated delivery of oncolytic viruses.Biochim Biophys Acta. 2008; 1785: 217-231PubMed Google Scholar These so-called oncolytic viruses (OVs)—based on vaccinia, herpes, measles, and reovirus platforms—have shown promise in early clinical studies.8Park BH Hwang T Liu TC Sze DY Kim JS Kwon HC et al.Use of a targeted oncolytic poxvirus, JX-594, in patients with refractory primary or metastatic liver cancer: a phase I trial.Lancet Oncol. 2008; 9: 533-542Abstract Full Text Full Text PDF PubMed Scopus (383) Google Scholar,9Hu JC et al.A phase I study of OncoVEXGM-CSF, a second-generation oncolytic herpes simplex virus expressing granulocyte macrophage colony-stimulating factor.Clin Cancer Res. 2006; 12: 6737-6747Crossref PubMed Scopus (440) Google Scholar,10Russell SJ Peng KW Measles virus for cancer therapy.Curr Top Microbiol Immunol. 2009; 330: 213-241Crossref PubMed Scopus (141) Google Scholar,11Thirukkumaran C Morris DG Oncolytic viral therapy using reovirus.Methods Mol Biol. 2009; 542: 607-634Crossref PubMed Scopus (37) Google Scholar,12Breitbach CJ Burke J Jonker D Stephenson J Haas AR Chow LQ et al.Intravenous delivery of a multi-mechanistic cancer-targeted oncolytic poxvirus in humans.Nature. 2011; 477: 99-102Crossref PubMed Scopus (404) Google Scholar The aim of oncolytic virotherapy is to engineer tumor-specific viral parasites that can infect and commandeer the metabolic machinery of the cancer cell. Once in control of the cell, the OV would replicate and ultimately lead to the manufacture and assembly of progeny that could continue to kill the tumor in successive waves. A key aspect of this class of therapeutics is that they not infect or replicate within normal tissues. Although some OVs in preclinical development are designed to be able to discriminate between normal and cancer cells via the recognition of receptors specifically expressed on the malignant cell surface,13Jing Y Tong C Zhang J Nakamura T Iankov I Russell SJ et al.Tumor and vascular targeting of a novel oncolytic measles virus retargeted against the urokinase receptor.Cancer Res. 2009; 69: 1459-1468Crossref PubMed Scopus (57) Google Scholar,14Hasegawa K Nakamura T Harvey M Ikeda Y Oberg A Figini M et al.The use of a tropism-modified measles virus in folate receptor–targeted virotherapy of ovarian cancer.Clin Cancer Res. 2006; 12: 6170-6178Crossref PubMed Scopus (77) Google Scholar all the OVs currently being tested in the clinic recognize receptors found on the surface of both normal and cancerous cells. Indeed, the selectivity of most OV therapeutics currently in the clinic is instead based on the specific intracellular signaling pathways that are dysregulated in the target cancer cell. For example, the vaccinia virus–based therapeutic JX-594 has an engineered deletion of its virally encoded thymidine kinase gene and thus is dependent, in part, on the overexpression of the cellular thymidine kinase gene alone or in combination with other proteins in this metabolic pathway that are characteristic of many malignancies.15Kim JH Oh JY Park BH Lee DE Kim JS Park HE et al.Systemic armed oncolytic and immunologic therapy for cancer with JX-594, a targeted poxvirus expressing GM-CSF.Mol Ther. 2006; 14: 361-370Abstract Full Text Full Text PDF PubMed Scopus (227) Google Scholar Both JX-594 and the reovirus-based therapeutic Reolysin have a predilection for growing in tumor cells that have an activated epidermal growth factor receptor (EGFR)–Ras pathway.7Guo ZS Thorne SH Bartlett DL Oncolytic virotherapy: molecular targets in tumor-selective replication and carrier cell–mediated delivery of oncolytic viruses.Biochim Biophys Acta. 2008; 1785: 217-231PubMed Google Scholar,8Park BH Hwang T Liu TC Sze DY Kim JS Kwon HC et al.Use of a targeted oncolytic poxvirus, JX-594, in patients with refractory primary or metastatic liver cancer: a phase I trial.Lancet Oncol. 2008; 9: 533-542Abstract Full Text Full Text PDF PubMed Scopus (383) Google Scholar The herpesvirus-based therapeutic OncoVEX lacks the viral ICP34.5 gene, which normally plays a critical role in counteracting the antiviral programs initiated by interferon.16Liu BL Robinson M Han ZQ Branston RH English C Reay P et al.ICP34.5 deleted herpes simplex virus with enhanced oncolytic, immune stimulating, and anti-tumour properties.Gene Ther. 2003; 10: 292-303Crossref PubMed Scopus (555) Google Scholar Indeed, the apparent defective interferon response that is characteristic of many different kinds of tumors17Stojdl DF Lichty BD tenOever BR Paterson JM Power AT Knowles S et al.VSV strains with defects in their ability to shutdown innate immunity are potent systemic anti-cancer agents.Cancer Cell. 2003; 4: 263-275Abstract Full Text Full Text PDF PubMed Scopus (663) Google Scholar has a role in the selective replication of a great number of oncolytic viruses. Whereas in an ideal world the selectivity of an OV would depend on absolutes found in tumor cells and absent in normal tissues, the reality is that—as with most other therapeutics—the differential activities of the relevant signaling pathways in normal and tumor cells are not always clear-cut. Activation of the EGFR–Ras pathway can occur at many levels and to different extents; the degree of overexpression of enzymes involved in DNA metabolism is variable; the interferon response of tumor cells varies from nearly normal to completely absent. The genetic heterogeneity of tumors can thus lead to variable response to any therapeutic, and this is certainly true of OVs. The dream of creating a “replicating machine” that can rapidly eat through a tumor may be restricted to the few cancers that have, for instance, an absolute loss of interferon response or superactivation of the EGFR pathway. On the other hand, the genomic chaos characteristic of many malignancies can create a situation that lends itself to the development of synthetic lethality. Thus, mutations leading to even partial sensitivity to an OV might be complemented by drugs that target a second pathway such that it uniquely sensitizes the tumor, but not normal cells, to the killing properties of a virus infection. In normal cells, there are many levels of redundancy to protect against invasion by microbes, genotoxic damage, or stress. In cancers, mutations that occur in critical growth control or apoptotic genes can reduce these layers of protection; it should therefore be possible to identify compounds that can enhance the ability of OVs to kill tumor cells without sensitizing normal cells to OV infection. Indeed, this has already been shown to be possible using high-throughput screens of small-molecule libraries on virus-infected tumor cells.18Diallo JS Le Boeuf F Lai F Cox J Vaha-Koskela M Abdelbary H et al.A high-throughput pharmacoviral approach identifies novel oncolytic virus sensitizers.Mol Ther. 2008; 18: 1123-1129Abstract Full Text Full Text PDF Scopus (71) Google Scholar,19Passer BJ Cheema T Zhou B Wakimoto H Zaupa C Razmjoo M et al.Identification of the ENT1 antagonists dipyridamole and dilazep as amplifiers of oncolytic herpes simplex virus-1 replication.Cancer Res. 2010; 70: 3890-3895Crossref PubMed Scopus (22) Google Scholar Molecules that further cripple the already weakened antiviral response of tumor cells or compounds that enhance the expression of enzymes involved in DNA metabolism have been shown to sensitize refractory tumor cells to OV infection.19Passer BJ Cheema T Zhou B Wakimoto H Zaupa C Razmjoo M et al.Identification of the ENT1 antagonists dipyridamole and dilazep as amplifiers of oncolytic herpes simplex virus-1 replication.Cancer Res. 2010; 70: 3890-3895Crossref PubMed Scopus (22) Google Scholar,20Nguyen TL Abdelbary H Arguello M Breitbach C Leveille S Diallo JS et al.Chemical targeting of the innate antiviral response by histone deacetylase inhibitors renders refractory cancers sensitive to viral oncolysis.Proc Natl Acad Sci USA. 2008; 105: 14981-14986Crossref PubMed Scopus (145) Google Scholar Although drug screens are useful, they are limited in that the exact target of action of the newly identified drug may remain elusive—and with it a wealth of information on “druggable” pathways. In the new study, Mahoney et al.1Mahoney DJ Lefebvre C Allan K Brun J Sanaei CA Baird S et al.Virus-tumor interactome screen reveals ER stress response can reprogram resistant cancers for oncolytic virus-triggered caspase-2 cell death.Cancer Cell. 2011; 20: 443-456Abstract Full Text Full Text PDF PubMed Scopus (80) Google Scholar take a different approach to identifying synthetic lethal mutations that could be revealed during OV infection. Their strategy involved treating partially OV-sensitive tumor cell lines with RNA interference (RNAi) directed against expressed cellular genes. Using an arrayed library of approximately 18,000 genes, they then used the oncolytic Maraba virus21Brun J McManus D Lefebvre C Hu K Falls T Atkins H et al.Identification of genetically modified Maraba virus as an oncolytic rhabdovirus.Mol Ther. 2010; 18: 1440-1449Abstract Full Text Full Text PDF PubMed Scopus (108) Google Scholar to probe for genes that sensitized tumor cells to viral oncolysis. Remarkably, they uncovered RNAi-targetable genes that could specifically sensitize tumor cells over 10,000-fold to Maraba infection. The RNAi screen identified a number of gene products involved in the unfolded protein response (UPR), including dedicated transcription factors (ATF6α, ATF6B), the endoribonuclease IRE1α and its downstream product XBP-1. They also identified proteins associated with the endoplasmic reticulum (ER)-associated degradation (ERAD) pathway that removes misfolded polypeptides from the ER and targets them for proteolytic degradation. The striking enrichment of proteins involved in the UPR and ERAD pathways suggested that Mahoney and colleagues had identified a key pathway that could complement cell killing by Maraba and perhaps other rhabdoviruses. Importantly, combination of Maraba infection with knockdown of UPR/ERAD genes did not sensitize normal skin or lung fibroblasts or normal human astrocytes. To close the loop, the workers then chemically synthesized known inhibitors of IREα and demonstrated that these could block UPR and synergize with Maraba in tumor cell killing. The authors’ experiments also revealed that tumor cells had “rewired” their UPR/ERAD pathways—in the sense that they have come to a new equilibrium with respect to ER stress—leading to a tumor-specific activation of an apoptotic pathway triggered by OV infection that is caspase 2–dependent. This led to a prediction that an “ER preload” by RNAi inactivation of IRE1α could lead to enhanced tumor cell killing by other chemical compounds that work through caspase 2 activation. Indeed, doxorubicin treatment following IRE1α knockdown specifically increased tumor cell killing. Once again, exploration of virus–host interactions has led to a new understanding of the myriad pathways that control the life and death of mammalian cells. Many questions remain. Is tumor cell killing by all OVs enhanced by ER preload or is Maraba virus uniquely sensitive? Can other synthetic lethal mutations be identified by screening with different OVs? How frequently do tumor cells rewire their UPR/ERAD pathways? Although it remains unknown whether rhabdoviruses such as Maraba will become viable cancer therapeutics, the synthetic lethal screening approach described by Mahoney et al.1Mahoney DJ Lefebvre C Allan K Brun J Sanaei CA Baird S et al.Virus-tumor interactome screen reveals ER stress response can reprogram resistant cancers for oncolytic virus-triggered caspase-2 cell death.Cancer Cell. 2011; 20: 443-456Abstract Full Text Full Text PDF PubMed Scopus (80) Google Scholar illustrates the value of studying how oncolytic viruses replicate within and kill cancer cells. Although many of us believe that OVs will eventually become viable anticancer therapeutics, the results from this group suggest that, at a minimum, studying the biology of OV–host interactions will reveal previously unappreciated cancer-specific pathways that could potentially identify combination drug approaches that might be less toxic, and yet more effective, in cancer patients.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,014
Score d'incertitude au seuil0,910

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,038
Tête enseignante GPT0,264
Écart entre enseignants0,225 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2011
Routes d'admission1
Résumé présentoui

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