ArticleJournal of pathology informatics2022
Immunohistochemistry scoring of breast tumor tissue microarrays: A comparison study across three software applications.
Article in Journal of pathology informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 28 citations in OpenAlex.
- Low KIF4A expression is associated with gastric cancer progression and aggressive phenotypes.Scientific reports · 2026Article
- Associations of oral contraceptives with expression of CD44, CD24, and ALDH1A1 stem cell markers in women with benign breast biopsies.Breast cancer research : BCR · 2026Article
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- Reliability of stromal markers multiplex immunofluorescent staining: pathologist assessment compared to quantitative image analysis.American journal of cancer research · 2026Article
- Comparison of QuPath and HALO Platforms for Analysis of the Tumor Microenvironment in Prostate Cancer.Laboratory investigation; a journal of technical methods and pathology · 2025Article
- Birthweight, height, and body mass index in relation to the expression of stem cell markers among women with benign breast biopsies in the Nurses' Health Study II.British journal of cancer · 2025Article
- Associations of alcohol consumption with expression of CD44, CD24, and ALDH1A1 stem cell markers in benign breast biopsy samples.Cancer causes & control : CCC · 2025Article
- Digital pathology in tau research: A comparison of QuPath and HALO.Journal of neuropathology and experimental neurology · 2025Article
- Associations of Stem Cell Markers with Lobular Involution in Benign Breast Tissue.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- The Breast Tumor Immune Microenvironment of DNA Double-Strand Break Repair Pathogenic Variant Carriers Is Enriched with Tumor-Associated Macrophages.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- Associations of circulating insulin-like growth factor-1 and insulin-like growth factor binding protein-3 with the expression of stem cell markers in benign breast tissue.Breast cancer research : BCR · 2025Article
- Consumption of aspartame and risk of breast cancer in the Nurses' Health Studies.Journal of the National Cancer Institute · 2025Article
- Relationship between the expressions of DLL3, ASC1, TTF-1 and Ki-67: First steps of precision medicine at SCLC.Oncotarget · 2024Observational
- Germline polygenic risk scores are associated with immune gene expression signature and immune cell infiltration in breast cancer.American journal of human genetics · 2024Article
- Prognostic value of Maspin protein level in patients with triple negative breast cancer.Scientific reports · 2024Article
- Associations of Early-Life and Adult Anthropometric Measures with the Expression of Stem Cell Markers CD44, CD24, and ALDH1A1 in Women with Benign Breast Biopsies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- Ultrastructural and immunohistochemical evaluation of hyperplastic soft tissues surrounding dental implants in fibular jaws.Scientific reports · 2024Article
- Article
- Reproductive factors and expression of stem cell markers in women with incident benign breast disease.American journal of cancer research · 2024Article
- Associations of reproductive breast cancer risk factors with expression of stem cell markers in benign breast tissue.Frontiers in oncology · 2024Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
Digital pathology can efficiently assess immunohistochemistry (IHC) data on tissue microarrays (TMAs). Yet, it remains important to evaluate the comparability of the data acquired by different software applications and validate it against pathologist manual interpretation. In this study, we compared the IHC quantification of 5 clinical breast cancer biomarkers-estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), epidermal growth factor receptor (EGFR), and cytokeratin 5/6 (CK5/6)-across 3 software applications (Definiens Tissue Studio, inForm, and QuPath) and benchmarked the results to pathologist manual scores. IHC expression for each marker was evaluated across 4 TMAs consisting of 935 breast tumor tissue cores from 367 women within the Nurses' Health Studies; each women contributing three 0.6-mm cores. The correlation and agreement between manual and software-derived results were primarily assessed using Spearman's ρ, percentage agreement, and area under the curve (AUC). At the TMA core-level, the correlations between manual and software-derived scores were the highest for HER2 (ρ ranging from 0.75 to 0.79), followed by ER (0.69-0.71), PR (0.67-0.72), CK5/6 (0.43-0.47), and EGFR (0.38-0.45). At the case-level, there were good correlations between manual and software-derived scores for all 5 markers (ρ ranging from 0.43 to 0.82), where QuPath had the highest correlations. Software-derived scores were highly comparable to each other (ρ ranging from 0.80 to 0.99). The average percentage agreements between manual and software-derived scores were excellent for ER (90.8%-94.5%) and PR (78.2%-85.2%), moderate for HER2 (65.4%-77.0%), highly variable for EGFR (48.2%-82.8%), and poor for CK5/6 (22.4%-45.0%). All AUCs across markers and software applications were ≥0.83. The 3 software applications were highly comparable to each other and to manual scores in quantifying these 5 markers. QuPath consistently produced the best performance, indicating this open-source software is an excellent alternative for future use.
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