Introduction: The recognition of molecular subtypes of breast cancer has initiated a new regimen of targeted therapy. Early diagnosis is a key step in improving survival. Therefore, a cost-effective and widely available imaging tool is needed for the timely detection and prediction of the molecular profile of breast cancer.
Aim: To study the predictive value of ultrasonographic features in identifying the estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2 neu (HER2/neu) expression status, and molecular subtypes of breast cancer.
Material And Methods: We conducted a study on 51 histopathologically proven invasive breast carcinoma cases over a period of one and a half years. The patients underwent ultrasonography followed by tissue biopsy. Sonographic parameters were assessed based on BI-RADS imaging features. The molecular subtypes of breast cancer were grouped into four subtypes based on the St. Gallen International Expert Consensus Panel. The predictive value of ultrasonographic features was then studied in relation to the hormone receptor status and molecular subtypes of breast cancer.
Results: A significant association between posterior acoustic features and molecular subtypes was seen. Posterior acoustic shadowing was associated with progesterone receptor status with an odds ratio (OR) of 36.58, confidence interval (CI) of 5.527-866.1, and <0.001. The luminal type A molecular subtype was significantly higher in the posterior acoustic shadowing group (10 cases; 52.63%) with an OR of 3.85, CI of 1.12-13.98, and of 0.02. The proportion of patients with triple-negative molecular subtype (9 cases, 50%) was significantly higher in the posterior acoustic enhancement group, with an OR of 29.42, CI of 4.117-725.4, and <0.001. Tumors with circumscribed margins were also highly suggestive of the triple-negative molecular subtype [OR of 5.12, CI of 1.16-24.85, and of 0.03]. The association between the presence or absence of vascularity and its type with molecular subtypes failed to show statistical significance in our study, although vascularity was more frequently observed in triple-negative molecular subtype and luminal type B Her+ve cases.
Conclusion: Certain sonographic features are associated with the estrogen/progesterone receptor hormone receptor status and molecular subtypes of breast cancer. With validation of this association, ultrasound may serve as a basic imaging modality for predicting molecular subtypes of breast cancer even in remote areas, where immunohistochemistry hormone receptor and HER2 testing are not available.
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http://dx.doi.org/10.15557/JoU.2025.0003 | DOI Listing |
Histol Histopathol
February 2025
Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden.
Non-small cell lung cancer (NSCLC) is a complex disease with diverse clinical and molecular characteristics. Since the discovery of the oncogenic neurotrophic receptor tyrosine kinase (NTRK) gene fusion in colorectal cancer in 1986, its understanding has gradually progressed. NTRK's relevance is crucial to understanding some tumor development and how specific tyrosine receptor kinase inhibitors (TRKI) work.
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March 2025
Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Background: Neutrophil extracellular traps (NETs) play pivotal roles in various pathological processes. The formation of NETs is impaired in acute myeloid leukemia (AML), which can result in immunodeficiency and increased susceptibility to infection.
Methods: The gene set variation analysis (GSVA) algorithm was employed for the calculation of NET score, while the consensus clustering algorithm was utilized to identify molecular subtypes.
J Ultrason
January 2025
Radiodiagnosis, Indira Gandhi Medical College and Hospital (IGMC), Shimla, Himachal Pradesh, India.
Introduction: The recognition of molecular subtypes of breast cancer has initiated a new regimen of targeted therapy. Early diagnosis is a key step in improving survival. Therefore, a cost-effective and widely available imaging tool is needed for the timely detection and prediction of the molecular profile of breast cancer.
View Article and Find Full Text PDFEJHaem
April 2025
Centro Infantil Boldrini Campinas São Paulo Brazil.
Biased VDJ recombination has been previously described in childhood B-cell precursor acute lymphoblastic leukemia (BCP-ALL), although its causes are not yet fully understood. This study assesses differential features in 565 clonotypes from BCP-ALL molecular subsets against 560 clonotypes from bone marrow donors. Leukemia clonotypes were enriched for segments in the KMT2A rearranged and B-other subtypes, while was enriched in TCF3::PBX1.
View Article and Find Full Text PDFFront Bioinform
February 2025
School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Machine learning and genomic medicine are the mainstays of research in delivering personalized healthcare services for disease diagnosis, risk stratification, tailored treatment, and prediction of adverse effects. However, potential prediction errors in healthcare services can have life-threatening impact, raising reasonable skepticism about whether these applications have practical benefit in clinical settings. Conformal prediction offers a versatile framework for addressing these concerns by quantifying the uncertainty of predictive models.
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