ArticleDiagnostic pathology2014
Effects of tissue decalcification on the quantification of breast cancer biomarkers by digital image analysis.
Article in Diagnostic pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- Pathological Diagnosis, Work-Up and Reporting of Breast Cancer 1st Central-Eastern European Professional Consensus Statement on Breast Cancer.Pathology oncology research : POR · 2022Pooled it
- HER2 Testing and Clinical Decision Making in Gastroesophageal Adenocarcinoma: Guideline From the College of American Pathologists, American Society for Clinical Pathology, and American Society of Clinical Oncology.American journal of clinical pathology · 2016Guideline
- [Pathological diagnosis, work-up and reporting of breast cancer. Recommendations of the 5th Hungarian Consensus Conference on Breast Cancer].Magyar onkologia · 2025Article
- The antiviral effects of a MEK1/2 inhibitor promote tumor regression in a preclinical model of human papillomavirus infection-induced tumorigenesis.Antiviral research · 2023Article
- Phenotypic discordance between primary and metastatic breast cancer in the large-scale real-life multicenter French ESME cohort.NPJ breast cancer · 2021Article
- The quest for improving the management of breast cancer by functional imaging: The discovery and development of 16α-[Nuclear medicine and biology · 2021Review
- Effect of decalcification protocols on immunohistochemistry and molecular analyses of bone samples.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020Article
- PD-L1 expression in bone marrow plasma cells as a biomarker to predict multiple myeloma prognosis: developing a nomogram-based prognostic model.Scientific reports · 2020Article
- Review
- The use of BRAF V600E mutation-specific immunohistochemistry in pediatric Langerhans cell histiocytosis.Hematological oncology · 2018Article
- Spatial Mapping of Myeloid Cells and Macrophages by Multiplexed Tissue Staining.Frontiers in immunology · 2018Article
- Data integration from pathology slides for quantitative imaging of multiple cell types within the tumor immune cell infiltrate.Diagnostic pathology · 2017Article
- Exome-capture RNA sequencing of decade-old breast cancers and matched decalcified bone metastases.JCI insight · 2017Article
- Influence of decalcification procedures on immunohistochemistry and molecular pathology in breast cancer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2016Article
- Quantitative imaging for development of companion diagnostics to drugs targeting HGF/MET.The journal of pathology. Clinical research · 2016Article
- Imaging Diagnostic and Therapeutic Targets: Steroid Receptors in Breast Cancer.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2016Review
- Computer-based image analysis in breast pathology.Journal of pathology informatics · 2016Review
- Analysis of Pre-Analytic Factors Affecting the Success of Clinical Next-Generation Sequencing of Solid Organ Malignancies.Cancers · 2015Review
- A novel liquid biopsy assay for detection ofJournal of circulating biomarkersArticle
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecent technical advances in digital image capture and analysis greatly improve the measurement of protein expression in tissues. Breast cancer biomarkers provide a unique opportunity to utilize digital image analysis to evaluate sources of variability that are caused by the tissue preparation, in particular the decalcification treatment associated with the analysis of bone metastatic breast cancer, and to develop methods for comparison of digital data and categorical scores rendered by pathologists.
methodsTissues were prospectively decalcified for up to 24 hours and stained by immunohistochemistry (IHC) for ER, PR, Ki-67 and p53. HER2 positive breast cancer sections were retrieved from the pathology archives, and annotated with the categorical HER2 expression scores from the pathology reports. Digital images were captured with Leica and Aperio slide scanners. The conversion of the digital to categorical scores was accomplished with a Gaussian mixture model and tested for accuracy by comparison to clinical scores.
resultsWe observe significant effects of the decalcification treatment on common breast cancer biomarkers that are used in the clinic. ER, PR and p53 staining intensities decreased 15 - 20%, whereas Ki-67 decreased > 90% during the first 6 hrs of treatment and stabilized thereafter. In comparison with the Aperio images, pixel intensities generated by the Leica system are lower. A novel statistical model for conversion of digital to categorical scores provides a systematic approach for conversion of nuclear and membrane stains and demonstrated a high concordance with clinical scores.
conclusionDigital image analysis greatly improves the quantification of protein expression in human tissues. Decalcification affects the accuracy of immunohistochemical staining results and cannot be reversed by image analysis. Measurement data obtained on a continuous scoring scale can be converted to categorical scores for comparison with categorical dataset that are generated by pathologists. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/13000_2014_213.
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