Evidence map›Paper›PMID 30674894›Full record

SynthesisNature communications2019

Comparative oncogenomics identifies combinations of driver genes and drug targets in BRCA1-mutated breast cancer.

Stefano Annunziato, Julian R de Ruiter, Linda Henneman, Chiara S Brambillasca, Catrin Lutz, François Vaillant, Federica Ferrante, Anne Paulien Drenth, Eline van der Burg, Bjørn Siteur and 9 more

Registry-linked trialOpen access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04033965 (Tumor Mutational Patterns and Infiltrating Lymphocyte Density in Young and Old Patients With Breast Cancer), which is not on this map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04033965 completednot on this map

Tumor Mutational Patterns and Infiltrating Lymphocyte Density in Young and Old Patients With Breast Cancer

TypeobservationalSponsorHellenic Cooperative Oncology GroupRan1997 to 2010Enrolled345ConditionsBreast CancerArmsCorellation of Mutations, TILs and Age in Breast Cancer
3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Medicina (Kaunas, Lithuania) · 2020
    Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Advances in Immunocompetent Mouse and Rat Models.Cold Spring Harbor perspectives in medicine · 2024
    Review
  18. Review
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 2 institutions in 2 countries.

Stefano AnnunziatoDivision of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands.
Julian R de RuiterDivision of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands.
Linda HennemanDivision of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands.
Chiara S BrambillascaDivision of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands.
Catrin LutzDivision of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands.
François VaillantACRF Stem Cells and Cancer Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia.ORCID http://orcid.org/0000-0003-3229-3760
Federica FerranteDivision of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands.
Anne Paulien DrenthDivision of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands.
Eline van der BurgDivision of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands.
Bjørn SiteurPreclinical Intervention Unit, Mouse Clinic for Cancer and Aging (MCCA), The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands.
Bas van GerwenPreclinical Intervention Unit, Mouse Clinic for Cancer and Aging (MCCA), The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands.
Roebi de BruijnDivision of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands.
Martine H van MiltenburgDivision of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands.
Ivo J HuijbersTransgenic Core Facility, Mouse Clinic for Cancer and Aging (MCCA), The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands.
Marieke van de VenPreclinical Intervention Unit, Mouse Clinic for Cancer and Aging (MCCA), The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands.
Jane E VisvaderACRF Stem Cells and Cancer Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia.ORCID http://orcid.org/0000-0001-9173-6977
Geoffrey J LindemanACRF Stem Cells and Cancer Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia.ORCID http://orcid.org/0000-0001-9386-2416
Lodewyk F A WesselsCancer Genomics Netherlands, The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands. l.wessels@nki.nl.
Jos JonkersDivision of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands. j.jonkers@nki.nl.
The Netherlands Cancer Institute · NLThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BRCA1-mutated breast cancer is primarily driven by DNA copy-number alterations (CNAs) containing large numbers of candidate driver genes. Validation of these candidates requires novel approaches for high-throughput in vivo perturbation of gene function. Here we develop genetically engineered mouse models (GEMMs) of BRCA1-deficient breast cancer that permit rapid introduction of putative drivers by either retargeting of GEMM-derived embryonic stem cells, lentivirus-mediated somatic overexpression or in situ CRISPR/Cas9-mediated gene disruption. We use these approaches to validate Myc, Met, Pten and Rb1 as bona fide drivers in BRCA1-associated mammary tumorigenesis. Iterative mouse modeling and comparative oncogenomics analysis show that MYC-overexpression strongly reshapes the CNA landscape of BRCA1-deficient mammary tumors and identify MCL1 as a collaborating driver in these tumors. Moreover, MCL1 inhibition potentiates the in vivo efficacy of PARP inhibition (PARPi), underscoring the therapeutic potential of this combination for treatment of BRCA1-mutated cancer patients with poor response to PARPi monotherapy.

Indexed as

MutationAnimalsBRCA1 ProteinBreast NeoplasmsCarcinogenesisCell Transformation, NeoplasticCollagen Type ICollagen Type I, alpha 1 ChainDNA Copy Number VariationsEmbryonic Stem CellsFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHEK293 CellsHumansMammary Neoplasms, AnimalBRCA1 ProteinBRCA1 protein, humanCollagen Type ICollagen Type I, alpha 1 ChainMcl1 protein, mouseMyeloid Cell Leukemia Sequence 1 ProteinPoly(ADP-ribose) Polymerase InhibitorsTumor Suppressor Protein p53

Identifiers

PMID30674894
PMCPMC6344487
OpenAlexW2913399268

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.