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

Overview of attention for article published in Breast Cancer Research, April 2016
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Title
Heterogeneity in global gene expression profiles between biopsy specimens taken peri-surgically from primary ER-positive breast carcinomas
Published in
Breast Cancer Research, April 2016
DOI 10.1186/s13058-016-0696-2
Pubmed ID
Authors

Elena López-Knowles, Qiong Gao, Maggie Chon U. Cheang, James Morden, Joel Parker, Lesley-Ann Martin, Isabel Pinhel, Fiona McNeill, Margaret Hills, Simone Detre, Maria Afentakis, Lila Zabaglo, Andrew Dodson, Anthony Skene, Chris Holcombe, John Robertson, Ian Smith, Judith M. Bliss, Mitch Dowsett, on behalf of the POETIC trialists

Abstract

Gene 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. Twenty-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. Twenty-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. There 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 number CRUK/07/015 . Study start date September 2008.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Researcher 8 18%
Student > Ph. D. Student 7 16%
Lecturer 3 7%
Student > Doctoral Student 3 7%
Other 10 22%
Unknown 5 11%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Agricultural and Biological Sciences 9 20%
Biochemistry, Genetics and Molecular Biology 7 16%
Computer Science 2 4%
Nursing and Health Professions 1 2%
Other 6 13%
Unknown 10 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 April 2016.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from Breast Cancer Research
#1,654
of 2,052 outputs
Outputs of similar age
#219,500
of 314,719 outputs
Outputs of similar age from Breast Cancer Research
#30
of 32 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
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