To investigate the proportion of gene amplifications and the association between the HER2-IHC-staining pattern and gene status in IHC-2+ breast cancers according to 2013 American Society of Clinical Oncology (ASCO)/College of American Pathologists (CAP) guidelines. We retrospectively analyzed and re-evaluated the IHC-staining pattern of 2538 IHC-2+ surgical specimens of breast cancer from November 2014 to October 2015 in 12 institutions. All cases used for building a prediction model of gene amplification according to the IHC-staining pattern and were randomly divided into a training set (n = 1914) or validation set (n = 624). The overall fluorescence hybridization (FISH) amplification, non-amplification and equivocation rates in HER2 IHC-2+ cases were 17.8%, 76.2% and 6.0%, respectively. In the training set, cases that had ≤ 10% of cells with intense, complete and circumferential membrane staining or had > 85% of cells with complete membrane staining of any staining intensity tended to be gene amplified (77.0% and 60.5%, respectively). And cases with weak and incomplete membrane staining had the lowest amplification rate of 6.1%. The prediction model was constructed based on IHC-staining pattern in the training set and validated using a validation set. The positive and negative prediction values were 51.6% and 79.2%, respectively, in the validation set. Moreover, the copy number per cell was much higher in cases with amplification-associated staining patterns (7.84 and 8.75) than in cases with non-amplification-associated staining patterns (2.97 to 4.41, < 0.05). In HER2 IHC-2+ breast cancers, the staining pattern is associated with the gene status. This finding is compatible with recommendations of 2013 ASCO/CAP guidelines.
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http://dx.doi.org/10.7150/jca.25586 | DOI Listing |
J Cardiovasc Surg (Torino)
January 2025
Faculty of Medicine and Biomedical Sciences, Campus of Gambelas, University of Algarve, Faro, Portugal.
Background: Aortoiliac disease poses a significant cardiovascular (CV) risk, especially in individuals with chronic kidney disease. This study aimed to assess the predictive role of chronic kidney disease in long-term major adverse CV events in patients submitted to aortoiliac revascularization due to severe aortoiliac atherosclerotic disease.
Methods: From 2013 to 2023, patients who underwent aortoiliac revascularization for TASC II type D lesions, including those with chronic kidney disease, were selected from a prospective cohort study.
Rehabil Psychol
January 2025
Department of Psychology, Brandenburg Medical School Theodor Fontane.
Purpose/objective: This study investigated the development of posttraumatic growth (PTG) in relatively young persons with stroke. It examined the contribution of potential predictive variables and their changes over time.
Research Method/design: Participants completed questionnaires at baseline ( = 78, median time since injury = 47 days) and 3 ( = 53) and 6 months ( = 47) later.
Allergol Immunopathol (Madr)
January 2025
Department of Pediatric Respiratory Medicine, Anhui Provincial Children's Hospital, Hefei City, Anhui Province, China.
This study aimed to investigate the factors influencing the complication of allergic rhinitis in children with bronchial asthma and to construct a nomogram model to predict the occurrence of allergic rhinitis. A total of 190 children with bronchial asthma admitted to our hospital from August 2020 to August 2024 were retrospectively analyzed. The children were randomly divided into the training cohort (133 cases) and validation cohort (57 cases) in a ratio of 7:3.
View Article and Find Full Text PDFBioinformatics
January 2025
Institute for Computational Systems Biology, Universität Hamburg, Hamburg, 22761, Germany.
Motivation: Transcription factors (TFs) are DNA-binding proteins that regulate gene expression. Traditional methods predict a protein as a TF if the protein contains any DNA-binding domains (DBDs) of known TFs. However, this approach fails to identify a novel TF that does not contain any known DBDs.
View Article and Find Full Text PDFJMIR Perioper Med
January 2025
Department of Surgery, Indiana University School of Medicine, Indianapolis, IN, United States.
Background: Postoperative delirium (POD) is a common complication after major surgery and is associated with poor outcomes in older adults. Early identification of patients at high risk of POD can enable targeted prevention efforts. However, existing POD prediction models require inpatient data collected during the hospital stay, which delays predictions and limits scalability.
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