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HER2 (ERBB2) gene status serves as a strong predictive marker of response to HER2-targeted agents in invasive breast cancers, albeit with heterogeneous response. Our aim was to determine the distribution and prognosis of HER2 groups by fluorescent in situ hybridization (FISH) using the updated 2018 American Society of Clinical Oncology-College of American Pathologist (ASCO-CAP) guidelines. We identified 226 cases of equivocal or positive HER2 FISH invasive breast cancer (interpreted by ASCO-CAP guidelines at the time of reporting) who received HER2-targeted agents from 2006 to 2017. We subcategorized Group 1 further into three subgroups: low amplified (HER2/CEP17 ratio ≥ 2.0-2.99, mean HER2/cell 4.0-5.9), amplified (HER2/CEP17 ratio ≥ 2.0-2.99, mean HER2/cell ≥ 6), and excessive amplification (HER2/CEP17 ratio ≥ 3.0, mean HER2/cell ≥ 4.0). Outcomes studied were recurrence, metastasis, second breast primary, disease-specific survival (DSS), and overall survival (OS). Univariate analysis showed that the five categories of HER2 FISH were significantly associated with OS (p < 0.01), specifically higher HER2 amplification was associated with fewer deaths. HER2 FISH status also statistically significantly relates to DFS (p < 0.01) and metastasis (p = 0.01) but not with recurrence or second breast primary in our study. Tumor type and HER2 ISH Groups are independent predictors for both OS and DFS in our cohort. The proposed Group 1 subcategories were significantly associated with OS (p < 0.01) and DFS (p < 0.01), excessive HER2 amplification was associated with longer median survival. The Cox regression models showed better survival outcomes for the excessive amplification subgroup than the low amplified subgroup, with OS (hazard ratio = 0.63, 95% CI 0.42-0.93) and DFS (HR = 0.55, 95% CI 0.37-0.83). We demonstrated that in HER2 FISH Group 1 patients, high HER2 amplification was significantly associated with longer OS and DFS; these patients seem to benefit more from HER2-targeted regimens. We recommend reporting these Group 1 subcategories when assessing HER2 FISH.
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http://dx.doi.org/10.1038/s41379-020-00728-z | DOI Listing |
Cancer Res
September 2025
University of Southern Denmark, Odense, Denmark.
Triple-negative breast cancer (TNBC) is a particularly aggressive subtype of breast cancer with high metastatic potential, limited treatment options, and low patient survival rates. By combining functional proteomics and genomics approaches, we identified an oncogenic transcriptional network in mesenchymal and invasive TNBC involving the glucocorticoid receptor (GR), GATA6, MYC, and AP-1 transcription factors. Although these transcription factors bound extensively to shared enhancers, they utilized different enhancer repertoires from this shared enhancer pool to drive distinct downstream oncogenic pathways.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
September 2025
The tumor microenvironment is a dynamic eco system where cellular interactions drive cancer progression. However, inferring cell-cell communication from non-spatial scRNA-seq data remains challenging due to incomplete li gand-receptor databases and noisy cell type annotations. H ere, we propose scGraphDap, a graph neural network frame work that integrates functional state pseudo-labels and graph structure learning to improve both cell type annotation an d CCC inference.
View Article and Find Full Text PDFAnn Surg Oncol
September 2025
Department of Surgery,Division of Breast Surgical Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Background: This study analyzed a large national cohort to compare treatment strategies and survival outcomes in metaplastic breast cancer (MtBC), a rare and aggressive subtype with poor treatment response.
Patients And Methods: Adult female patients with MtBC diagnosed between 2006 and 2021 were identified from the National Cancer Database and grouped by chemotherapy sequence (neoadjuvant vs. adjuvant) to evaluate clinical characteristics and survival outcomes.
Inflamm Res
September 2025
Department of General Surgery, Beijing Anzhen Hospital, Capital Medical University, No.2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Background: The roles of long non-coding RNAs (lncRNAs) in the progression of various human tumors have been extensively studied. However, their specific mechanisms and therapeutic potential in Triple-Negative Breast Cancer (TNBC) remain to be fully elucidated.
Materials And Methods: The qRT-PCR assay was utilized to assess the relative mRNA levels of TFAP2A-AS1, PHGDH, and miR-6892.
Research (Wash D C)
September 2025
State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype, characterized by a high propensity for metastasis, poor prognosis, and limited treatment options. Research has demonstrated a substantial correlation between the expression of protein arginine N-methyltransferase 1 (PRMT1) and enhanced proliferation, metastasis, and poor outcomes in TNBC. However, the specific role of PRMT1 in lung metastasis and chemoresistance remains unclear.
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