Evidence map›Paper›PMID 32914010›Full record

ArticleJCO precision oncology2019

Genomic Instability and

Eugene F Schuster, Pascal Gellert, Corrinne V Segal, Elena López-Knowles, Richard Buus, Maggie Chon U Cheang, James Morden, John Robertson, Judith M Bliss, Ian Smith and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in JCO precision oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 93% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Trial
  2. 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

12 authors at 7 institutions in 5 countries.

Eugene F SchusterThe Institute of Cancer Research, London, United Kingdom.
Pascal GellertThe Institute of Cancer Research, London, United Kingdom.
Corrinne V SegalThe Institute of Cancer Research, London, United Kingdom.
Elena López-KnowlesThe Institute of Cancer Research, London, United Kingdom.
Richard BuusThe Institute of Cancer Research, London, United Kingdom.
Maggie Chon U CheangThe Institute of Cancer Research, London, United Kingdom.
James MordenThe Institute of Cancer Research, London, United Kingdom.
John RobertsonUniversity of Nottingham, Nottingham, United Kingdom.
Judith M BlissThe Institute of Cancer Research, London, United Kingdom.
Ian SmithRoyal Marsden Hospital, London, United Kingdom.
Mitch DowsettThe Institute of Cancer Research, London, United Kingdom.
POETIC Trial Management Group and Trialists
Eisai (United Kingdom) · GBMSD K.K. (Japan) · JPRoyal Marsden Hospital · GBAstraZeneca (Brazil) · BRClovis Oncology (United Kingdom) · GBInstitute of Cancer Research · GBRoche (Switzerland) · CH

Funding

Cancer Research UK 8671
6 · The paper itself

Abstract

purposeAlthough aromatase inhibitor (AI) treatment is effective in estrogen receptor-positive postmenopausal breast cancer, resistance is common and incompletely explained. Genomic instability, as measured by somatic copy number alterations (SCNAs), is important in breast cancer development and prognosis. SCNAs to specific genes may drive intrinsic resistance, or high genomic instability may drive tumor heterogeneity, which allows differential response across tumors and surviving cells to evolve resistance to treatment rapidly. We therefore evaluated the relationship between SCNAs and intrinsic resistance to treatment as measured by a poor antiproliferative response. PATIENTS AND

methodsSCNAs were determined by single nucleotide polymorphism array in baseline and surgery core-cuts from 73 postmenopausal patients randomly assigned to receive 2 weeks of preoperative AI or no AI in the Perioperative Endocrine Therapy-Individualizing Care (POETIC) trial. Fifty-six samples from the AI group included 28 poor responders (PrRs, less than 60% reduction in protein encoded by the

resultsGenomic instability correlated with Ki-67 expression at both baseline (

conclusionWe observed that primary tumors with high genomic instability have an intrinsic resistance to AI treatment and do not require additional evolution to develop resistance to estrogen deprivation therapy.

Identifiers

PMID32914010
PMCPMC7446335
OpenAlexW2952764324

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.