Evidence map›Paper›PMID 21278454›Full record

ReviewJournal of molecular cell biology2011

BRCA1, PARP, and 53BP1: conditional synthetic lethality and synthetic viability.

Amal Aly, Shridar Ganesan

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of molecular cell biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
5.2field-weighted citation impact, top 3% 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

56 citing papers in PubMed, 107 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Cyclin-Dependent Kinase Synthetic Lethality Partners in DNA Damage Response.International journal of molecular sciences · 2022
    Review
  10. Review
  11. Shifting landscapes of human MTHFR missense-variant effects.American journal of human genetics · 2021
    Article
  12. Review
  13. Review
  14. DNA double-strand break repair in cancer: A path to achieving precision medicine.International review of cell and molecular biology · 2021
    Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  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

2 authors at 1 institution in 1 country.

Amal AlyCancer Institute of New Jersey, Robert Wood Johnson Medical School-UMDNJ, 195 Little Albany Street, New Brunswick, NJ 08903, USA.
Shridar Ganesan
Rutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BRCA1 plays a critical role in the regulation of homologous recombination (HR)-mediated DNA double-strand break repair. BRCA1-deficient cancers have evolved to tolerate loss of BRCA1 function. This renders them vulnerable to agents, such as PARP inhibitors, that are conditionally 'synthetic lethal' with their underlying repair defect. Recent studies demonstrate that BRCA1-deficient cells may acquire resistance to these agents by partially correcting their defect in HR-mediated repair, either through reversion mutations in BRCA1 or through 'synthetic viable' loss of 53BP1. These findings and their clinical implications will be reviewed in this article.

Indexed as

AnimalsBRCA1 ProteinDNA Breaks, Double-StrandedDNA RepairDrug Resistance, NeoplasmGenes, LethalHumansIntracellular Signaling Peptides and ProteinsNeoplasmsPoly(ADP-ribose) PolymerasesRecombination, GeneticTumor Suppressor p53-Binding Protein 1BRCA1 ProteinIntracellular Signaling Peptides and ProteinsPoly(ADP-ribose) PolymerasesTP53BP1 protein, humanTumor Suppressor p53-Binding Protein 1

Identifiers

PMID21278454
PMCPMC3030974
OpenAlexW2171297405

What OpenQuestion holds

Textmetadata
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.