Evidence map›Paper›PMID 29955114›Full record

ReviewNature reviews. Clinical oncology2018

Synthetic lethal therapies for cancer: what's next after PARP inhibitors?

Alan Ashworth, Christopher J Lord

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 248 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
248citing papers in PubMed, 3 pooled it
19.1field-weighted citation impact, top 1% 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

248 citing papers in PubMed, 3 syntheses or guidelines pooled it, 405 citations in OpenAlex.

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188 more citing papers are in PubMed but not listed here.

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 2 institutions in 2 countries.

Alan AshworthUCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA. Alan.Ashworth@ucsf.edu.
Christopher J LordThe CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK. Chris.Lord@icr.ac.uk.
Institute of Cancer Research · GBUCSF Helen Diller Family Comprehensive Cancer Center · US

Funding

Translational InformaticsP30CA082103 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jennifer Leigh Clarke · 1999 to 2026
$209.7M
Cancer Research UK 14276Cancer Research UK 24439
6 · The paper itself

Abstract

The genetic concept of synthetic lethality has now been validated clinically through the demonstrated efficacy of poly(ADP-ribose) polymerase (PARP) inhibitors for the treatment of cancers in individuals with germline loss-of-function mutations in either BRCA1 or BRCA2. Three different PARP inhibitors have now been approved for the treatment of patients with BRCA-mutant ovarian cancer and one for those with BRCA-mutant breast cancer; these agents have also shown promising results in patients with BRCA-mutant prostate cancer. Here, we describe a number of other synthetic lethal interactions that have been discovered in cancer. We discuss some of the underlying principles that might increase the likelihood of clinical efficacy and how new computational and experimental approaches are now facilitating the discovery and validation of synthetic lethal interactions. Finally, we make suggestions on possible future directions and challenges facing researchers in this field.

Indexed as

BRCA1 ProteinBRCA2 ProteinBreast NeoplasmsDrug Resistance, NeoplasmFemaleHumansLoss of Function MutationOvarian NeoplasmsPoly(ADP-ribose) Polymerase InhibitorsPoly(ADP-ribose) PolymerasesSynthetic Lethal MutationsBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanPoly(ADP-ribose) Polymerase InhibitorsPoly(ADP-ribose) Polymerases

Identifiers

PMID29955114
OpenAlexW2810280645

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.