Evidence map›Paper›PMID 29915391›Full record

ArticleOncogene2018

Identification of highly penetrant Rb-related synthetic lethal interactions in triple negative breast cancer.

Rachel Brough, Aditi Gulati, Syed Haider, Rahul Kumar, James Campbell, Erik Knudsen, Stephen J Pettitt, Colm J Ryan, Christopher J Lord

Open access · hybridAbstract read
In one paragraph

Article in Oncogene, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.8field-weighted citation impact, top 15% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 32 citations in OpenAlex.

  1. RNASEH2B loss and PARP inhibition in advanced prostate cancer.The Journal of clinical investigation · 2024
    Trial
  2. Review
  3. Synthetic lethality between RB-loss and E2F3 inhibition in small cell cancers targeted by pyrimidine synthesis blockade.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Proteogenomic discovery ofScience advances · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Hereditary retinoblastoma iPSC model reveals aberrant spliceosome function driving bone malignancies.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  12. Review
  13. The SCF Complex Is Essential to Maintain Genome and Chromosome Stability.International journal of molecular sciences · 2021
    Review
  14. TargetingCancers · 2021
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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

9 authors at 4 institutions in 3 countries.

Rachel BroughThe Breast Cancer Now Toby Robins Breast Cancer Research Centre, London, SW3 6JB, UK.
Aditi GulatiThe Breast Cancer Now Toby Robins Breast Cancer Research Centre, London, SW3 6JB, UK.
Syed HaiderThe Breast Cancer Now Toby Robins Breast Cancer Research Centre, London, SW3 6JB, UK.
Rahul KumarThe Breast Cancer Now Toby Robins Breast Cancer Research Centre, London, SW3 6JB, UK.
James CampbellThe Breast Cancer Now Toby Robins Breast Cancer Research Centre, London, SW3 6JB, UK.
Erik KnudsenDepartment of Medicine, University of Arizona, Tucson, AZ, 85721, USA.
Stephen J PettittThe Breast Cancer Now Toby Robins Breast Cancer Research Centre, London, SW3 6JB, UK.ORCID http://orcid.org/0000-0003-3313-3857
Colm J RyanSystems Biology Ireland, University College Dublin, Dublin, Ireland. Colm.RyanRyan@ucd.ie.
Christopher J LordThe Breast Cancer Now Toby Robins Breast Cancer Research Centre, London, SW3 6JB, UK. Chris.Lord@icr.ac.uk.
Institute of Cancer Research · GBBreast Cancer Now · GBUniversity College Dublin · IEUniversity of Arizona · US

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Teri L Bankhead · 1985 to 2026
$110.2M
Cancer Research UK 14276Cancer Research UK 24439Wellcome Trust 103049/Z/13/Z
6 · The paper itself

Abstract

Although defects in the RB1 tumour suppressor are one of the more common driver alterations found in triple-negative breast cancer (TNBC), therapeutic approaches that exploit this have not been identified. By integrating molecular profiling data with data from multiple genetic perturbation screens, we identified candidate synthetic lethal (SL) interactions associated with RB1 defects in TNBC. We refined this analysis by identifying the highly penetrant effects, reasoning that these would be more robust in the face of molecular heterogeneity and would represent more promising therapeutic targets. A significant proportion of the highly penetrant RB1 SL effects involved proteins closely associated with RB1 function, suggesting that this might be a defining characteristic. These included nuclear pore complex components associated with the MAD2 spindle checkpoint protein, the kinase and bromodomain containing transcription factor TAF1, and multiple components of the SCF

Indexed as

Gene Expression Regulation, NeoplasticTranscription, GeneticCalcium-Binding ProteinsCell Line, TumorFemaleHistone AcetyltransferasesHumansMad2 ProteinsRetinoblastoma Binding ProteinsS-Phase Kinase-Associated ProteinsTATA-Binding Protein Associated FactorsTranscription Factor TFIIDTriple Negative Breast NeoplasmsUbiquitin-Protein LigasesCalcium-Binding ProteinsCIB1 protein, humanHistone AcetyltransferasesMAD2L1 protein, humanMad2 ProteinsRB1 protein, humanRetinoblastoma Binding ProteinsSKP2 protein, humanS-Phase Kinase-Associated ProteinsTATA-binding protein associated factor 250 kDaTATA-Binding Protein Associated FactorsTranscription Factor TFIIDUbiquitin-Protein Ligases

Identifiers

PMID29915391
PMCPMC6202330
OpenAlexW2808326604

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.