Spatially Resolved Obesity-Driven Molecular Changes in Early Breast Cancer

IF 4.9 2区 医学 Q1 PATHOLOGY
American Journal of Pathology Pub Date : 2026-07-01 Epub Date: 2026-05-01 DOI:10.1016/j.ajpath.2026.03.016
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.

Abstract Image

空间分辨肥胖驱动的早期乳腺癌分子变化。
肥胖是侵袭性乳腺癌的一个确定的危险因素;然而,在肥胖肿瘤微环境中,区分浸润性导管癌(IDC)和导管原位癌(DCIS)的具体分子异质性尚不明确。在目前的研究中,利用空间分解转录组学对DCIS和IDC病变的上皮、间质和免疫区室进行了分析,这些病变按宿主体重指数分层,分为非肥胖(≤29.9 kg/m2)或肥胖(≥30 kg/m2)。这些分析表明,定义侵袭状态的转录特征在BMI类别之间存在显著差异。在非肥胖患者中,与DCIS相比,IDC病变表现出由增殖和上皮到间质转化驱动的典型特征。相反,肥胖环境的特点是独特的“应激适应”表型,丰富的代谢调节,氧化应激反应和炎症信号。上皮成分伴随着纤维炎性基质特征和以B细胞耗竭和M2巨噬细胞富集为特征的免疫抑制生态位。此外,参与细胞外基质组织和信号传导的细胞外硫酸盐内酯酶sulg2在肥胖上皮内持续上调,这在代谢应激和结构重塑之间提供了合理的联系。总的来说,这些数据表明肥胖相关的差异与另一种侵入性转录程序一致,该程序在该队列中较少受经典增殖驱动因素的支配。因此,标准的预后标志物可能与环境相关,强调了将代谢健康纳入精确风险分层的必要性。
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来源期刊
CiteScore
11.40
自引率
0.00%
发文量
178
审稿时长
30 days
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.
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