Evidence map›Paper›PMID 30682083›Full record

ArticlePloS one2019

Synthetic lethality guiding selection of drug combinations in ovarian cancer.

Andreas Heinzel, Maximilian Marhold, Paul Mayer, Michael Schwarz, Erwin Tomasich, Arno Lukas, Michael Krainer, Paul Perco

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Synthetic Lethality in Ovarian Cancer.Molecular cancer therapeutics · 2021
    Review
  6. Review
  7. Review
  8. RNA-binding protein DDX3 mediates posttranscriptional regulation of androgen receptor: A mechanism of castration resistance.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  9. Review
  10. Article
  11. 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

8 authors at 3 institutions in 1 country.

Andreas HeinzelEmergentec biodevelopment GmbH, Vienna, Austria.
Maximilian MarholdDepartment of Oncology, Division of Internal Medicine I, Medical University of Vienna, Vienna, Austria.ORCID 0000-0001-8439-3312
Paul MayerEmergentec biodevelopment GmbH, Vienna, Austria.
Michael SchwarzDepartment of Oncology, Division of Internal Medicine I, Medical University of Vienna, Vienna, Austria.
Erwin TomasichDepartment of Oncology, Division of Internal Medicine I, Medical University of Vienna, Vienna, Austria.
Arno LukasEmergentec biodevelopment GmbH, Vienna, Austria.
Michael KrainerDepartment of Oncology, Division of Internal Medicine I, Medical University of Vienna, Vienna, Austria.
Paul PercoEmergentec biodevelopment GmbH, Vienna, Austria.
Medical University of Vienna · ATEmergenTec (Austria) · ATInnsbruck Medical University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSynthetic lethality describes a relationship between two genes where single loss of either gene does not trigger significant impact on cell viability, but simultaneous loss of both gene functions results in lethality. Targeting synthetic lethal interactions with drug combinations promises increased efficacy in tumor therapy. MATERIALS AND

methodsWe established a set of synthetic lethal interactions using publicly available data from yeast screens which were mapped to their respective human orthologs using information from orthology databases. This set of experimental synthetic lethal interactions was complemented by a set of predicted synthetic lethal interactions based on a set of protein meta-data like e.g. molecular pathway assignment. Based on the combined set, we evaluated drug combinations used in late stage clinical development (clinical phase III and IV trials) or already in clinical use for ovarian cancer with respect to their effect on synthetic lethal interactions. We furthermore identified a set of drug combinations currently not being tested in late stage ovarian cancer clinical trials that however have impact on synthetic lethal interactions thus being worth of further investigations regarding their therapeutic potential in ovarian cancer.

resultsTwelve of the tested drug combinations addressed a synthetic lethal interaction with the anti-VEGF inhibitor bevacizumab in combination with paclitaxel being the most studied drug combination addressing the synthetic lethal pair between VEGFA and BCL2. The set of 84 predicted drug combinations for example holds the combination of the PARP inhibitor olaparib and paclitaxel, which showed efficacy in phase II clinical studies.

conclusionA set of drug combinations currently not tested in late stage ovarian cancer clinical trials was identified having impact on synthetic lethal interactions thus being worth of further investigations regarding their therapeutic potential in ovarian cancer.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBevacizumabClinical Trials as TopicFemaleHumansMolecular Targeted TherapyOvarian NeoplasmsPaclitaxelPhthalazinesPiperazinesPoly(ADP-ribose) Polymerase InhibitorsProto-Oncogene Proteins c-bcl-2Synthetic Lethal MutationsVascular Endothelial Growth Factor ABCL2 protein, humanBevacizumabolaparibPaclitaxelPhthalazinesPiperazinesPoly(ADP-ribose) Polymerase InhibitorsProto-Oncogene Proteins c-bcl-2Vascular Endothelial Growth Factor AVEGFA protein, human

Identifiers

PMID30682083
PMCPMC6347359
OpenAlexW2913837215

What OpenQuestion holds

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LicenceCC BY
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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.