Biological correlates associated with high-risk breast cancer patients identified using a computational method.

Using a novel unsupervised method to integrate multi-omic data, we previously identified a breast cancer group with a poor prognosis. In the current study, we characterize the biological features of this subgroup, defined as the high-risk group, using various data sources. Assessment of three published hypoxia signatures showed that the high-risk group exhibited higher hypoxia scores (p < 0.

Unraveling complexity and leveraging opportunities in uncommon breast cancer subtypes.

Special histologic subtypes of breast cancer (BC) exhibit unique phenotypes and molecular profiles with diagnostic and therapeutic implications, often differing in behavior and clinical trajectory from common BC forms. Novel methodologies, such as artificial intelligence may improve classification. Genetic predisposition plays roles in a subset of cases.

Frank Invasion in Tall Cell Carcinoma with Reversed Polarity of the Breast: Report of Two Cases.

Tall cell carcinoma with reversed polarity (TCCRP) is a rare neoplasm of the breast composed of columnar tumor cells arranged in solid and solid papillary nests with evidence of apical nuclear polarity. No frank invasion is evident despite the lack of a myoepithelial cell layer throughout the tumor. TCCRP has a triple negative or hormone receptor-low immunophenotype.

Molecular Basis of Breast Tumor Heterogeneity.

Breast cancer (BC) is a profoundly heterogenous disease, with diverse molecular, histological, and clinical variations. The intricate molecular landscape of BC is evident even at early stages, illustrated by the complexity of the evolution from precursor lesions to invasive carcinoma. The key for therapeutic decision-making is the dynamic assessment of BC receptor status and clinical subtyping.

The spatially informed mFISHseq assay resolves biomarker discordance and predicts treatment response in breast cancer.

Current assays fail to address breast cancer's complex biology and accurately predict treatment response. On a retrospective cohort of 1082 female breast tissues, we develop and validate mFISHseq, which integrates multiplexed RNA fluorescent in situ hybridization with RNA-sequencing, guided by laser capture microdissection. This technique ensures tumor purity, unbiased whole transcriptome profiling, and explicitly quantifies intratumoral heterogeneity.