Evidence map›Paper›PMID 40033056›Full record

ArticleNature genetics2025

The transcriptomic architecture of common cancers reflects synthetic lethal interactions.

Syed Haider, Rachel Brough, Santiago Madera, Jacopo Iacovacci, Aditi Gulati, Andrew Wicks, John Alexander, Stephen J Pettitt, Andrew N J Tutt, Christopher J Lord

Abstract read
In one paragraph

Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Proteogenomic discovery ofScience advances · 2025
    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

10 authors.

Syed HaiderBreast Cancer Now Toby Robins Breast Cancer Research Centre, London, UK. Syed.Haider@icr.ac.uk.ORCID http://orcid.org/0000-0001-6685-5480
Rachel Brough *Breast Cancer Now Toby Robins Breast Cancer Research Centre, London, UK.
Santiago Madera *Breast Cancer Now Toby Robins Breast Cancer Research Centre, London, UK.ORCID http://orcid.org/0000-0003-1219-0385
Jacopo IacovacciBreast Cancer Now Toby Robins Breast Cancer Research Centre, London, UK.
Aditi GulatiBreast Cancer Now Toby Robins Breast Cancer Research Centre, London, UK.
Andrew WicksBreast Cancer Now Toby Robins Breast Cancer Research Centre, London, UK.ORCID http://orcid.org/0000-0002-9307-3262
John AlexanderBreast Cancer Now Toby Robins Breast Cancer Research Centre, London, UK.
Stephen J PettittBreast Cancer Now Toby Robins Breast Cancer Research Centre, London, UK. Stephen.Pettitt@icr.ac.uk.ORCID http://orcid.org/0000-0003-3313-3857
Andrew N J TuttBreast Cancer Now Toby Robins Breast Cancer Research Centre, London, UK. Andrew.Tutt@icr.ac.uk.ORCID http://orcid.org/0000-0001-8715-2901
Christopher J LordBreast Cancer Now Toby Robins Breast Cancer Research Centre, London, UK. Chris.Lord@icr.ac.uk.ORCID http://orcid.org/0000-0002-3226-0515

Funding

Breast Cancer Now (BCN) CTR-Q5-Y5Cancer Research UK (CRUK) DRCRPGNov21y100001
6 · The paper itself

Abstract

To maintain cell fitness, deleterious genetic alterations are buffered by compensatory changes in additional genes. In cancer, buffering processes could be targeted by synthetic lethality. However, despite the large-scale identification of synthetic lethal effects in preclinical models, evidence that these operate clinically is limited. This impedes the application of synthetic lethal approaches. By integrating molecular profiling data from >9,000 cancers with synthetic lethal screens, we show that transcriptomic buffering of tumor suppressor gene (TSG) loss by hyperexpression of synthetic lethal partners is a common phenomenon, extending to multiple TSGs and histotypes. Transcriptomic buffering is also notable in cancers that phenocopy TSG loss, such as BRCAness cancers, where expression of BRCA1/2 synthetic lethal genes correlates with clinical outcome. Synthetic lethal genes that exhibit transcriptomic buffering also represent more robust synthetic lethal effects. These observations have implications for understanding how tumor cells tolerate TSG loss, in part explain transcriptomic architectures in cancer and provide insight into target selection.

Indexed as

NeoplasmsSynthetic Lethal MutationsTranscriptomeGene Expression ProfilingGene Expression Regulation, NeoplasticGenes, Tumor SuppressorHumans

Identifiers

PMID40033056
PMCPMC11906352

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.