Evidence map›Paper›PMID 27036195›Full record

ArticleBreast cancer research : BCR2016

Heterogeneity in global gene expression profiles between biopsy specimens taken peri-surgically from primary ER-positive breast carcinomas.

Elena López-Knowles, Qiong Gao, Maggie Chon U Cheang, James Morden, Joel Parker, Lesley-Ann Martin, Isabel Pinhel, Fiona McNeill, Margaret Hills, Simone Detre and 10 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Impact of Duration of Neoadjuvant Aromatase Inhibitors on Molecular Expression Profiles in Estrogen Receptor-positive Breast Cancers.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  7. Article
  8. Combined quantitative measures of ER, PR, HER2, and KI67 provide more prognostic information than categorical combinations in luminal breast cancer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2019
    Article
  9. Article
  10. Article
  11. Neoadjuvant Therapy for Breast Cancer as a Model for Translational Research.Breast cancer : basic and clinical research · 2019
    Review
  12. Genomic Instability andJCO precision oncology · 2019
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Multidisciplinary Approach to Neoadjuvant Endocrine Therapy in Breast Cancer: A Comprehensive Review.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2016
    Review
  20. 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

20 authors at 5 institutions in 2 countries.

Elena López-KnowlesRoyal Marsden Hospital, London, UK. elena.lopez-knowles@icr.ac.uk.
Qiong GaoBreast Cancer Now Research Centre, The Institute of Cancer Research, London, UK.
Maggie Chon U CheangClinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK.
James MordenClinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK.
Joel ParkerLineberger Comprehensive Cancer Center and Department of Genetics, University of North Carolina, Chapel Hill, NC, USA.
Lesley-Ann MartinBreast Cancer Now Research Centre, The Institute of Cancer Research, London, UK.
Isabel PinhelRoyal Marsden Hospital, London, UK.
Fiona McNeillRoyal Marsden Hospital, London, UK.
Margaret HillsRoyal Marsden Hospital, London, UK.
Simone DetreRoyal Marsden Hospital, London, UK.
Maria AfentakisRoyal Marsden Hospital, London, UK.
Lila ZabagloRoyal Marsden Hospital, London, UK.
Andrew DodsonRoyal Marsden Hospital, London, UK.
Anthony SkeneRoyal Bournemouth Hospital, Bournemouth, UK.
Chris HolcombeRoyal Liverpool University Hospital, Liverpool, UK.
John RobertsonFaculty of Medicine & Health Sciences, Queen's Medical Centre, Nottingham, UK.
Ian SmithRoyal Marsden Hospital, London, UK.
Judith M BlissClinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK.
Mitch DowsettRoyal Marsden Hospital, London, UK.
POETIC trialists
Institute of Cancer Research · GBRoyal Marsden Hospital · GBUniversity of Liverpool · GBUniversity of North Carolina at Chapel Hill · USRoyal Bournemouth Hospital · GB

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Cancer Research UK 8671Cancer Research UK C1491/A15955Cancer Research UK C1491/A8671Cancer Research UK C406/A8962NCI NIH HHS P30 CA016086
6 · The paper itself

Abstract

backgroundGene expression is widely used for the characterisation of breast cancers. Variability due to tissue heterogeneity or measurement error or systematic change due to peri-surgical procedures can affect measurements but is poorly documented. We studied the variability of global gene expression between core-cuts of primary ER+ breast cancers and the impact of delays to tissue stabilisation due to sample X-ray and of diagnostic core cutting.

methodsTwenty-six paired core-cuts were taken immediately after tumour excision and up to 90 minutes delay due to sample X-ray; 57 paired core-cuts were taken at diagnosis and 2 weeks later at surgical excision. Whole genome expression analysis was conducted on extracted RNA. Correlations and differences were assessed between the expression of individual genes, gene sets/signatures and intrinsic subtypes.

resultsTwenty-three and 56 sample pairs, respectively, were suitable for analysis. The range of correlations for both sample sets were similar with the majority being >0.97 in both. Correlations between pairs for 18 commonly studied genes were also similar between the studies and mainly with Pearson correlation coefficients >0.6 except for a small number of genes, which had a narrow-dynamic range (e.g. MKI67, SNAI2). There was no systematic difference in intrinsic subtyping between the first and second sample of either set but there was c.15 % discordance between the subtype assignments between the pairs, mainly where the subtyping of individual samples was less certain. Increases in the expression of several stress/early-response genes (e.g. FOS, FOSB, JUN) were found in both studies and confirmed findings in earlier smaller studies. Increased expression of IL6, IGFBP2 and MYC (by 17 %, 14 % and 44 %, respectively) occurred between the samples taken 2 weeks apart and again confirmed findings from an earlier study.

conclusionsThere is generally good correlation in gene expression between pairs of core-cuts except where genes have a narrow dynamic range. Similar correlation coefficients to the average gene expression profiles of intrinsic subtype, particularly LumA and LumB, can lead to discordances between assigned subtypes. Substantial changes in expression of early-response genes occur within an hour after surgery and in IL6, IGFB2 and MYC as a result of diagnostic core-cut biopsy.

trial registrationTrial number CRUK/07/015 . Study start date September 2008.

Indexed as

Gene Expression Regulation, NeoplasticGenetic HeterogeneityBiomarkers, TumorBiopsyBreast NeoplasmsFemaleHumansInsulin-Like Growth Factor Binding Protein 2Interleukin-6Ki-67 AntigenNeoplasm ProteinsOligonucleotide Array Sequence AnalysisPerioperative PeriodPrognosisProto-Oncogene Proteins c-mycTranscriptomeBiomarkers, TumorIL6 protein, humanInsulin-Like Growth Factor Binding Protein 2Interleukin-6Ki-67 AntigenMYC protein, humanNeoplasm ProteinsProto-Oncogene Proteins c-mycBreast cancerGene expressionHeterogeneity

Identifiers

PMID27036195
PMCPMC4818440
OpenAlexW2320186989

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.