Evidence map›Paper›PMID 37892162›Full record

ReviewBiomolecules2023

Combination Treatment Strategies to Overcome PARP Inhibitor Resistance.

Young-Hwa Soung, Jun Chung

Open access · goldAbstract readReview
In one paragraph

Review in Biomolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Multidrug Resistance: Are We Still Afraid of the Big Bad Wolf.Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. 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

2 authors at 1 institution in 1 country.

Young-Hwa SoungDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA.
Jun ChungDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA.
Stony Brook School · US

Funding

ARRDC3-Integrin beta4 pathway as a therapeutic target of basal-like breast cancerR01CA163657 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI CHUNG, JUN · 2013 to 2017
$1.6M
NCI NIH HHS R01 CA163657
6 · The paper itself

Abstract

Poly(ADP-ribose) polymerase (PARP) enzymes have been shown to be essential for DNA repair pathways, including homologous recombination repair (HRR). Cancers with HRR defects (e.g., BRCA1 and BRCA2 mutations) are targets for PARP inhibitors (PARPis) based on the exploitation of "synthetic lethality". As a result, PARPis offer a promising treatment option for advanced ovarian and breast cancers with deficiencies in HRR. However, acquired resistance to PARPis has been reported for most tumors, and not all patients with BRCA1/2 mutations respond to PARPis. Therefore, the formulation of effective treatment strategies to overcome resistance to PARPis is urgently necessary. This review summarizes the molecular mechanism of therapeutic action and resistance to PARPis, in addition to emerging combination treatment options involving PARPis.

Indexed as

Antineoplastic AgentsOvarian NeoplasmsBRCA1 ProteinBRCA2 ProteinFemaleHumansPoly(ADP-ribose) Polymerase InhibitorsPoly(ADP-ribose) PolymerasesAntineoplastic AgentsBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanPoly(ADP-ribose) Polymerase InhibitorsPoly(ADP-ribose) Polymerasesbreast cancerscombination therapyhomologous recombination deficiencyovarian cancersPARP-1PARP inhibitorsresistance

Identifiers

PMID37892162
PMCPMC10604269
OpenAlexW4387301230

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.