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      MYC Inhibition Halts Metastatic Breast Cancer Progression by Blocking Growth, Invasion, and Seeding

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          Abstract

          MYC's role in promoting tumorigenesis is beyond doubt, but its function in the metastatic process is still controversial. Omomyc is a MYC dominant negative that has shown potent antitumor activity in multiple cancer cell lines and mouse models, regardless of their tissue of origin or driver mutations, by impacting on several of the hallmarks of cancer. However, its therapeutic efficacy against metastasis has not been elucidated yet. Here we demonstrate for the first time that MYC inhibition by transgenic Omomyc is efficacious against all breast cancer molecular subtypes, including triple-negative breast cancer, where it displays potent antimetastatic properties both in vitro and in vivo. Importantly, pharmacologic treatment with the recombinantly produced Omomyc miniprotein, recently entering a clinical trial in solid tumors, recapitulates several key features of expression of the Omomyc transgene, confirming its clinical applicability to metastatic breast cancer, including advanced triple-negative breast cancer, a disease in urgent need of better therapeutic options.

          Significance:

          While MYC role in metastasis has been long controversial, this manuscript demonstrates that MYC inhibition by either transgenic expression or pharmacologic use of the recombinantly produced Omomyc miniprotein exerts antitumor and antimetastatic activity in breast cancer models in vitro and in vivo, suggesting its clinical applicability.

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          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
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            Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

            The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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              Fiji: an open-source platform for biological-image analysis.

              Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: SupervisionRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Writing - original draftRole: Writing - review and editing
                Role: MethodologyRole: Writing - review and editing
                Role: InvestigationRole: Methodology
                Role: Investigation
                Role: Methodology
                Role: Investigation
                Role: Investigation
                Role: Investigation
                Role: Investigation
                Role: Investigation
                Role: Investigation
                Role: InvestigationRole: Writing - review and editing
                Role: Investigation
                Role: Investigation
                Role: Investigation
                Role: Investigation
                Role: Investigation
                Role: Investigation
                Role: Resources
                Role: Resources
                Role: Resources
                Role: Funding acquisitionRole: Writing - review and editing
                Role: ConceptualizationRole: ResourcesRole: Funding acquisitionRole: MethodologyRole: Writing - original draftRole: Writing - review and editing
                Journal
                Cancer Res Commun
                Cancer Res Commun
                Cancer Research Communications
                American Association for Cancer Research
                2767-9764
                February 2022
                21 February 2022
                : 2
                : 2
                : 110-130
                Affiliations
                [1 ]Preclinical & Translational Research Program, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, C/ Natzaret, Barcelona, Spain.
                [2 ]Peptomyc S.L., Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.
                [3 ]Department of Biochemistry and Molecular Biology, Universitat Autònoma de Barcelona, Bellaterra, Spain.
                [4 ]Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid, Spain.
                [5 ]Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden.
                [6 ]Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
                Author notes
                Corresponding Author: Laura Soucek, Vall d'Hebron Institute of Oncology (VHIO), C/ Natzaret, 115-117, CELLEX Centre, Barcelona 08035, Spain. Phone: 349-3254-3450; E-mail: lsoucek@ 123456vhio.net
                Author information
                https://orcid.org/0000-0003-4231-0456
                https://orcid.org/0000-0001-5224-8436
                https://orcid.org/0000-0002-7171-4268
                https://orcid.org/0000-0003-4443-0697
                https://orcid.org/0000-0002-1052-9763
                https://orcid.org/0000-0001-5355-8073
                https://orcid.org/0000-0002-1984-5834
                https://orcid.org/0000-0001-5514-8625
                https://orcid.org/0000-0001-5785-8436
                https://orcid.org/0000-0002-0504-0664
                https://orcid.org/0000-0001-6620-1065
                https://orcid.org/0000-0001-6914-3147
                https://orcid.org/0000-0002-4925-7283
                https://orcid.org/0000-0002-4750-7971
                Article
                CRC-21-0103-ET
                10.1158/2767-9764.CRC-21-0103
                9973395
                36860495
                42a562a5-08d7-4951-aa15-8034abac030a
                © 2022 The Authors; Published by the American Association for Cancer Research

                This open access article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

                History
                : 26 October 2021
                : 31 December 2021
                : 01 February 2022
                Page count
                Pages: 21
                Funding
                Funded by: http://dx.doi.org/10.13039/501100013816, Government of Catalonia | Departament d'Empresa i Coneixement, Generalitat de Catalunya (Ministry of Business and Knowledge, Government of Catalonia);
                Award ID: FI-DGR-2013
                Award Recipient :
                Funded by: http://dx.doi.org/10.13039/100014440, Ministerio de Ciencia, Innovación y Universidades (MCIU);
                Award ID: RTC-2016-5079-1
                Award Recipient :
                Funded by: http://dx.doi.org/10.13039/100014440, Ministerio de Ciencia, Innovación y Universidades (MCIU);
                Award ID: RTC2019-007067-1
                Award Recipient :
                Funded by: http://dx.doi.org/10.13039/100014440, Ministerio de Ciencia, Innovación y Universidades (MCIU);
                Award ID: PTQ-17-09299
                Award Recipient :
                Funded by: http://dx.doi.org/10.13039/100014440, Ministerio de Ciencia, Innovación y Universidades (MCIU);
                Award ID: FI20/00274
                Award Recipient :
                Funded by: http://dx.doi.org/10.13039/501100000781, EC | European Research Council (ERC);
                Award ID: 813132
                Award Recipient :
                Funded by: http://dx.doi.org/10.13039/501100018779, Fundación Fero (Fundació Fero);
                Award ID: FERO/1284
                Award Recipient :
                Funded by: http://dx.doi.org/10.13039/501100002794, Cancerfonden (Swedish Cancer Society);
                Award ID: 19 0561 Pj
                Award Recipient :
                Funded by: http://dx.doi.org/10.13039/501100009708, Novo Nordisk Fonden (NNF);
                Award ID: NNF19OC0059256
                Award Recipient :
                Categories
                Research Article
                Breast Cancer
                Oncogenes & Tumor Suppressors
                Oncogenes
                Progression, Invasion & Metastasis
                Tumor Progression
                Migration and Invasion
                Metastasis
                Biological Agents & Therapies
                Drug Targets
                Oncoprotein & Tumor Suppressor Drug Targets
                Translational Research
                Custom metadata
                true

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