Evidence map›Paper›PMID 30009057›Full record

ArticleInternational journal of breast cancer2018

Concordance between Immunohistochemistry and Microarray Gene Expression Profiling for Estrogen Receptor, Progesterone Receptor, and HER2 Receptor Statuses in Breast Cancer Patients in Lebanon.

Ghina B Fakhri, Reem S Akel, Maya K Khalil, Deborah A Mukherji, Fouad I Boulos, Arafat H Tfayli

Abstract read
In one paragraph

Article in International journal of breast cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. An Efficient Algorithm for the Detection of Outliers in Mislabeled Omics Data.Computational and mathematical methods in medicine · 2021
    Article
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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

6 authors.

Ghina B FakhriDivision of Hematology and Oncology, Department of Internal Medicine, American University of Beirut, Beirut, Lebanon.ORCID 0000-0003-1997-8394
Reem S AkelDivision of Hematology and Oncology, Department of Internal Medicine, American University of Beirut, Beirut, Lebanon.ORCID 0000-0001-6459-7414
Maya K KhalilRoswell Park Comprehensive Cancer Center/ State University at Buffalo-Jacobs School of Medicine and Biomedical Sciences, Elm & Carlton Streets, Buffalo, NY 14263, USA.
Deborah A MukherjiDivision of Hematology and Oncology, Department of Internal Medicine, American University of Beirut, Beirut, Lebanon.ORCID 0000-0002-0192-5828
Fouad I BoulosDepartment of Pathology and Laboratory Medicine, American University of Beirut, Beirut, Lebanon.ORCID 0000-0003-1921-081X
Arafat H TfayliDivision of Hematology and Oncology, Department of Internal Medicine, American University of Beirut, Beirut, Lebanon.ORCID 0000-0002-0633-2538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAccurate evaluation of estrogen and progesterone receptors and HER2 is critical when diagnosing invasive breast cancer for optimal treatment. The current evaluation method is via immunohistochemistry (IHC). In this paper, we compared results of ER, PR, and HER2 from microarray gene expression to IHC in 81 fresh breast cancer specimens.

methodsGene expression profiling was performed using the GeneChip Human Genome U133 Plus 2.0 arrays (Affymetrix Inc). Immunohistochemical staining for estrogen receptor, progesterone receptor, and HER2 status was performed using standard methods at a CAP-accredited pathology laboratory. Concordance rates, agreement measures, and kappa scores were calculated for both methods.

resultsFor ER, Kappa score was 0.918 (95% CI, 0.77.3-1.000) and concordance rate was 97.5% (95% CI, 91.4%-99.7%). For PR, Kappa score was 0.652 (95% CI, 0.405-0.849) and concordance rate was 86.4% (95% CI, 77%-93%). For HER2, Kappa score was 0.709 (95% CI, 0.428-0.916) and concordance rate was 97.5% (95% CI, 91.4%-99.7%).

conclusionOur results are in line with the available evidence with the concordance rate being the lowest for the progesterone receptor. In general, microarray gene expression and IHC proved to have high concordance rates. Several factors can increase the discordance rate such as differences in sample processing.

Identifiers

PMID30009057
PMCPMC6020516

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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.