ArticleIranian journal of radiology : a quarterly journal published by the Iranian Radiological Society2016
Immunohistochemical Subtypes of Breast Cancer: Correlation with Clinicopathological and Radiological Factors.
Article in Iranian journal of radiology : a quarterly journal published by the Iranian Radiological Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Stratifying Breast Lesion Risk Using BI-RADS: A Correlative Study of Imaging and Histopathology.Medicina (Kaunas, Lithuania) · 2025Article
- A Multimodal Deep Learning Model for the Classification of Breast Cancer Subtypes.Diagnostics (Basel, Switzerland) · 2025Article
- Extratumoral Signs of Malignant Nonspiculate and Noncalcified Masses on Mammography: Are They Associated With Prognostic Factors in Breast Cancer?The breast journal · 2025Article
- Imaging Features of Breast Cancer Subtypes on Mammography and Ultrasonography: an Analysis of 479 Patients.Indian journal of surgical oncology · 2022Article
- Correlation Of Bi-Rads 4 Subcategories Breast Lesions On Tomosynthesis And Histopathological Examination With P63 Immunohistochemistry Expression.Indian journal of surgical oncology · 2022Article
- Is There a Correlation between Multiparametric Assessment in Ultrasound and Intrinsic Subtype of Breast Cancer?Journal of clinical medicine · 2021Article
- Identification of MicroRNAs as Diagnostic Biomarkers for Breast Cancer Based on the Cancer Genome Atlas.Diagnostics (Basel, Switzerland) · 2021Article
- Distribution of Breast Cancer Subtypes Among Nigerian Women and Correlation to the Risk Factors and Clinicopathological Characteristics.World journal of oncology · 2020Article
- Combining Diagnostic Imaging and Pathology for Improving Diagnosis and Prognosis of Cancer.Contrast media & molecular imaging · 2019Review
- Differentiation of Intrahepatic Cholangiocarcinoma and Hepatic Lymphoma Based on Radiomics and Machine Learning in Contrast-Enhanced Computer Tomography.Technology in cancer research & treatmentArticle
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Abstract
backgroundThe relationship between biomarkers and imaging features is important because imaging findings can predict molecular features.
objectivesTo investigate the relationship between clinicopathologic and radiologic factors and the immunohistochemical (IHC) profiles associated with breast cancer. PATIENTS AND
methodsFrom December 2004 to September 2013, 200 patients (mean age, 56 years; range, 29 - 82 years) were diagnosed with breast cancer and underwent surgery at our institution. Their medical records were reviewed to determine age, symptom presence, mammographic findings (including mass, asymmetry, microcalcifications, or negativity), sonographic Breast Imaging-Reporting and Data System (BI-RADS) category, pathologic type of cancer (invasive ductal, mucinous, medullary, or papillary carcinoma), histologic grade, T-stage, and IHC subtypes. Based on the IHC profiles, tumor subtypes were classified as luminal A, luminal B, human epidermal growth factor receptor 2 (HER2) enriched, or triple-negative (TN) cancers. Using univariate and multivariate logistic regression analyses, we looked for correlations between four IHC subtypes and two IHC subtypes (TN and non-triple negative [non-TN]) and clinicopathologic and radiologic factors, respectively.
resultsBased on our univariate analyses with the four subtypes, the TN subtype showed a higher incidence of masses on mammography compared to the other subtypes (P = 0.037), and the TN subtype also tended to have the highest histologic grade among the subtypes (P < 0.001). With regard to the two IHC subtypes, the TN subtype had a significant association with medullary cancer (P = 0.021), higher histologic grade (grade 3; P < 0.001), and higher T stage (T2; P = 0.027) compared to the non-TN subtypes. In a multivariate logistic regression analysis of the clinicoradiologic factors compared to luminal A, the HER2 subtype had a significant association with BI-RADS category 4b (odds ratio [OR], 9.005; 95% confidence interval [CI], 1.414 - 57.348; P = 0.020) and borderline significance with category 4c (OR, 4.669; 95% CI, 0.970 - 22.468; P = 0.055). In a multivariate logistic regression analysis of the clinicoradiologic factors associated with the non-TN subtypes, the TN subtype was significantly correlated with medullary carcinoma (OR, 7.092; 95% CI, 1.149 - 43.772; P = 0.035).
conclusionThese results suggest that patients with the TN subtypes are more likely to have higher-histologic-grade tumors and medullary cancer. The HER2 subtype was typically associated with a higher BI-RADS category.
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