Evidence map›Paper›PMID 42026135›Full record

ReviewNature reviews. Cancer2026

Context-dependent synthetic lethality - an emerging precision therapeutic approach.

Liang Chang, Katharin Shaw, Francisca Vazquez, William R Sellers

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Liang Chang *Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Katharin Shaw *Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Francisca VazquezBroad Institute of MIT and Harvard, Cambridge, MA, USA.
William R SellersBroad Institute of MIT and Harvard, Cambridge, MA, USA. wsellers@broadinstitute.org.ORCID http://orcid.org/0000-0002-3539-9803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context-dependent synthetic lethality offers a promising strategy for expanding the scope of precision oncology beyond direct oncogene inhibition. We describe various genetic contexts that produce cancer-intrinsic vulnerabilities and consequent synthetic lethal opportunities. We also identify common mechanistic themes that underlie synthetic lethality, such as DNA repair defects, loss of functional redundancies, metabolic imbalances and narrow signalling tolerances. Whereas clinical translation has seen success - for example, with inhibitors of poly(ADP-ribose) polymerase (PARP), hypoxia-inducible factor 2 (HIF-2) and Smoothened (SMO), other targets require more nuanced strategies to achieve selectivity. Case studies highlight that therapeutic index, often inferable from functional genomics, is a critical determinant of success and should guide both target prioritization and therapeutic strategy. They also reveal that specific molecular mechanisms underlying the synthetic lethal phenotype can inform the discovery of the optimal therapeutic modality. Finally, we describe emerging approaches for synthetic lethal target discovery and drug development that enable diverse therapeutic strategies. Together, these insights provide a framework for translating synthetic lethality into more selective and durable cancer therapies.

Indexed as

NeoplasmsPrecision MedicineSynthetic Lethal MutationsAnimalsAntineoplastic AgentsDNA RepairHumansMolecular Targeted TherapySignal TransductionAntineoplastic Agents

Identifiers

What OpenQuestion holds

Textmetadata
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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.