Introduction: At least four major categories of invasive breast cancer that are associated with different clinical outcomes have been identified by gene expression profiling: luminal A, luminal B, human epidermal growth factor receptor 2 (HER2) and basal-like. However, the prevalence of these phenotypes among cases of ductal carcinoma in situ (DCIS) has not been previously evaluated in detail. The purpose of this study was to compare the prevalence of these distinct molecular subtypes among cases of DCIS and invasive breast cancer.
Methods: We constructed tissue microarrays (TMAs) from breast cancers that developed in 2897 women enrolled in the Nurses' Health Study (1976 to 1996). TMA slides were immunostained for oestrogen receptor (ER), progesterone receptor (PR), HER2, cytokeratin 5/6 (CK5/6) and epidermal growth factor receptor (EGFR). Using these immunostain results, cases were grouped into molecularly defined subtypes.
Results: The prevalence of the distinct molecular phenotypes differed significantly between DCIS (n = 272) and invasive breast cancers (n = 2249). The luminal A phenotype was significantly more frequent among invasive cancers (73.4%) than among DCIS lesions (62.5%) (p = 0.0002). In contrast, luminal B and HER2 molecular phenotypes were both more frequent among DCIS (13.2% and 13.6%, respectively) as compared with invasive tumours (5.2% and 5.7%, respectively) (p < 0.0001). The basal-like phenotype was more frequent among the invasive cancers (10.9%) than DCIS (7.7%), although this difference was not statistically significant (p = 0.15). High-grade DCIS and invasive tumours were more likely to be HER2 type and basal-like than low- or intermediate-grade lesions. Among invasive tumours, basal-like and HER2 type tumours were more likely to be more than 2 cm in size, high-grade and have nodal involvement compared with luminal A tumours.
Conclusion: The major molecular phenotypes previously identified among invasive breast cancers were also identified among cases of DCIS. However, the prevalence of the luminal A, luminal B and HER2 phenotypes differed significantly between DCIS and invasive breast cancers.
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http://dx.doi.org/10.1186/bcr2128 | DOI Listing |
Int J Biol Macromol
January 2025
Department of Radiotherapy, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang 150081, China. Electronic address:
In the past few years, three protein molecules-USP53, NPY2R, and DCTN1-AS1-have garnered significant attention in scientific research due to their potential implications in tumor development. Mass spectrometry and proteomics techniques were used to analyze the three-dimensional structure of these protein molecules and predict their active sites and functional domains. The effects of USP53, NPY2R and DCTN1-AS1 on biological behavior of tumor cells were studied by constructing gene knockout and overexpression cell models.
View Article and Find Full Text PDFTheranostics
January 2025
Cancer Research Center, School of Medicine, Xiamen University, Xiamen, 361102, China.
Immunogenic cell death (ICD) offers a promising avenue for the treatment of triple-negative breast cancer (TNBC). However, optimizing immune responses remains a formidable challenge. This study presents the design of RBCm@Pt-CoNi layered double hydroxide (RmPLH), an innovative sonosensitizer for sonodynamic therapy (SDT), aimed at enhancing the efficacy of programmed cell death protein 1 (PD-1) inhibitors by inducing robust ICD responses.
View Article and Find Full Text PDFTransl Cancer Res
December 2024
Al-Lith University College, Umm Al-Qura University, Makkah, Saudi Arabia.
Background: Invasive breast cancer (BC) is a highly life-threatening disease affecting women world-wide. While its early identification may benefit the provision of more effective therapies, several BC-associated factors may influence BC patients' therapeutic outcomes. Therefore, identifying novel prognostic and therapeutic targets for invasive BC can help with accurate prognosis and therapy-related decisions.
View Article and Find Full Text PDFTransl Cancer Res
December 2024
Department of Oncology, Jiangdu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.
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View Article and Find Full Text PDFHeliyon
July 2024
Cancer Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Background: Breast cancer is a highly malignant disease worldwide, but there are currently no sufficient molecular biomarkers to predict patient prognosis and guide radiotherapy. The tumor microenvironment (TME) is an important factor affecting tumor biological function, and changes in its composition are equally relevant to tumor progression and prognosis during radiotherapy.
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