Evidence map›Paper›PMID 27642590›Full record

ReviewBioMed research international2016

Predictors and Modulators of Synthetic Lethality: An Update on PARP Inhibitors and Personalized Medicine.

Stephen Murata, Catherine Zhang, Nathan Finch, Kevin Zhang, Loredana Campo, Eun-Kyoung Breuer

Abstract readReview
In one paragraph

Review in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

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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

6 authors.

Stephen MurataDepartment of Radiation Oncology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA.
Catherine ZhangDepartment of Radiation Oncology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA.
Nathan FinchDepartment of Radiation Oncology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA.
Kevin ZhangDepartment of Otorhinolaryngology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.
Loredana CampoDepartment of Radiation Oncology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA.
Eun-Kyoung BreuerDepartment of Radiation Oncology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA.ORCID 0000-0002-0467-3080

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poly(ADP-ribose) polymerase (PARP) inhibitors have proven to be successful agents in inducing synthetic lethality in several malignancies. Several PARP inhibitors have reached clinical trial testing for treatment in different cancers, and, recently, Olaparib (AZD2281) has gained both United States Food and Drug Administration (USFDA) and the European Commission (EC) approval for use in BRCA-mutated advanced ovarian cancer treatment. The need to identify biomarkers, their interactions in DNA damage repair pathways, and their potential utility in identifying patients who are candidates for PARP inhibitor treatment is well recognized. In this review, we detail many of the biomarkers that have been investigated for their ability to predict both PARP inhibitor sensitivity and resistance in preclinical studies as well as the results of several clinical trials that have tested the safety and efficacy of different PARP inhibitor agents in BRCA and non-BRCA-mutated cancers.

Indexed as

AnimalsBiomarkers, TumorBreast NeoplasmsCell Line, TumorClinical Trials as TopicDrug Resistance, NeoplasmEuropeFemaleHeLa CellsHumansMaleMiceOvarian NeoplasmsPhthalazinesPiperazinesPoly(ADP-ribose) Polymerase InhibitorsBiomarkers, TumorolaparibPhthalazinesPiperazinesPoly(ADP-ribose) Polymerase Inhibitors

Identifiers

PMID27642590
PMCPMC5013223

What OpenQuestion holds

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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.