Cole Hladik, Malika Sekhri, Haoning Howard Cen, Sugantha Priya Elayapillai, Schuyler Lee, Bifeng Gao, William Dooley, Ty Milligan, Haddon Hill, Alexander Filatenkov, Elizabeth A. Wellberg, Bethany N. Hannafon
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引用次数: 0
Abstract
Obesity is an established risk factor for invasive breast ductal carcinoma (IDC); however, the specific molecular heterogeneity distinguishing IDC from ductal carcinoma in situ (DCIS) within the obese tumor microenvironment is not well defined. In the current study, spatially resolved transcriptomics was used to profile the epithelial, stromal, and immune compartments of DCIS and IDC lesions stratified by host body mass index, categorized as non-obese (≤29.9 kg/m2) or obese (≥30 kg/m2). These analyses reveal that the transcriptional signatures defining the invasive state differ significantly across body mass index categories. In non-obese patients, IDC lesions exhibited canonical profiles driven by proliferation and epithelial-to-mesenchymal transition, compared with DCIS. Conversely, the obese setting was characterized by a distinct stress-adaptive phenotype, enriched for metabolic adjustment, oxidative stress response, and inflammatory signaling. The epithelial component was accompanied by a fibro-inflammatory stromal signature and an immunosuppressive niche characterized by B-cell depletion and M2 macrophage enrichment. Furthermore, sulfatase 2 (SULF2), an extracellular endosulfatase involved in extracellular matrix organization and signaling, was consistently up-regulated within the obese epithelium, providing a plausible link between metabolic stress and structural remodeling. Collectively, these data indicate obesity-associated differences consistent with an alternative invasive transcriptional program that is less dominated by classical proliferative drivers in this cohort. Consequently, standard prognostic markers may be context dependent, highlighting the need to integrate metabolic health into precision risk stratification.
期刊介绍:
The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.