Evidence map›Paper›PMID 31974379›Full record

ArticleNature communications2020

Chromosome arm aneuploidies shape tumour evolution and drug response.

Ankit Shukla, Thu H M Nguyen, Sarat B Moka, Jonathan J Ellis, John P Grady, Harald Oey, Alexandre S Cristino, Kum Kum Khanna, Dirk P Kroese, Lutz Krause and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 1 pooled it
8.9field-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

73 citing papers in PubMed, 1 synthesis or guideline pooled it, 135 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Interferon Epsilon Loss Is Elusive 9p21 Link to Immune-Cold Tumors, Resistant to Immune Checkpoint Therapy, and Endogenous CXCL9/10 Induction.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. Article

13 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

13 authors at 5 institutions in 2 countries.

Ankit Shukla *University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, 37 Kent Street, Brisbane, QLD, 4102, Australia.ORCID http://orcid.org/0000-0002-7687-9213
Thu H M Nguyen *University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, 37 Kent Street, Brisbane, QLD, 4102, Australia.
Sarat B MokaSchool of Mathematics and Physics, The University of Queensland, Brisbane, QLD, 4072, Australia.ORCID http://orcid.org/0000-0003-2868-9420
Jonathan J EllisUniversity of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, 37 Kent Street, Brisbane, QLD, 4102, Australia.
John P GradyUniversity of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, 37 Kent Street, Brisbane, QLD, 4102, Australia.ORCID http://orcid.org/0000-0001-9667-3872
Harald OeyUniversity of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, 37 Kent Street, Brisbane, QLD, 4102, Australia.
Alexandre S CristinoGriffith Institute for Drug Discovery, Griffith University, 46 Don Young Rd, Nathan, QLD, 4111, Australia.
Kum Kum KhannaQIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD, 4006, Australia.
Dirk P KroeseSchool of Mathematics and Physics, The University of Queensland, Brisbane, QLD, 4072, Australia.ORCID http://orcid.org/0000-0003-2281-9431
Lutz KrauseUniversity of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, 37 Kent Street, Brisbane, QLD, 4102, Australia.ORCID http://orcid.org/0000-0003-3806-0845
Eloise DrayDepartment of Biochemistry and Structural Biology, UT Health San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229-3900, USA.
J Lynn FinkUniversity of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, 37 Kent Street, Brisbane, QLD, 4102, Australia.ORCID http://orcid.org/0000-0003-2912-6048
Pascal H G DuijfUniversity of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, 37 Kent Street, Brisbane, QLD, 4102, Australia. pascal.duijf@qut.edu.au.ORCID http://orcid.org/0000-0001-8646-9843
Translational Research Institute · AUThe University of Queensland · AUGriffith University · AUQIMR Berghofer Medical Research Institute · AUThe University of Texas Health Science Center at San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromosome arm aneuploidies (CAAs) are pervasive in cancers. However, how they affect cancer development, prognosis and treatment remains largely unknown. Here, we analyse CAA profiles of 23,427 tumours, identifying aspects of tumour evolution including probable orders in which CAAs occur and CAAs predicting tissue-specific metastasis. Both haematological and solid cancers initially gain chromosome arms, while only solid cancers subsequently preferentially lose multiple arms. 72 CAAs and 88 synergistically co-occurring CAA pairs multivariately predict good or poor survival for 58% of 6977 patients, with negligible impact of whole-genome doubling. Additionally, machine learning identifies 31 CAAs that robustly alter response to 56 chemotherapeutic drugs across cell lines representing 17 cancer types. We also uncover 1024 potential synthetic lethal pharmacogenomic interactions. Notably, in predicting drug response, CAAs substantially outperform  mutations and focal deletions/amplifications combined. Thus, CAAs predict cancer prognosis, shape tumour evolution, metastasis and drug response, and may advance precision oncology.

Indexed as

AneuploidyChromosomes, HumanMutation RateCell Line, TumorDrug Resistance, NeoplasmHumansKaplan-Meier EstimateMachine LearningModels, BiologicalNeoplasmsPrognosisStochastic Processes

Identifiers

PMID31974379
PMCPMC6978319
OpenAlexW3001572379

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.