bioRxivCancer BiologyPreprint
Spatial and Multi-Omics Analysis of Human Breast Cancer Reveals the Spatiotemporal Dynamics of Basal Layer Disruption
Feiyang JiiD, Zhanzhi Li, Lidan JiniD, Yongxia CheniD, Jun Shen, Mengqing LiuiD, Yi LuiD, Qina HeiD, Xixi LiniD, Dazhi Chen, Jiahang ZhangiD, Menghao ZhouiD, Qingqing FangiD, Qingqing HuiD, Yuanhang Xia, Qingna Meng, Jiaheng Lang, Lili ZhiiD, Xia Yang, Yongtao He, Yihong Wen, Xuanjing Ye, Jichun ZhouiD, Linbo WangiD
Abstract
When breast cancer invasion begins and how tumor cells breach the basal barrier remain poorly defined. We profiled normal mammary ducts, ductal hyperplasia (DH), ductal carcinoma in situ (DCIS) and invasive ductal carcinoma using spatial transcriptomics, spatial proteomics and five bulk-omics layers, alongside an independent longitudinal lesion cohort. Cross-sectionally, basal/myoepithelial continuity declined most between DH and DCIS, accompanied by extracellular-matrix remodeling and altered fibroblast- and macrophage-associated signaling. EGFR-positive luminal progenitor-like cells were enriched at manually annotated basal discontinuities and were molecularly distinct, nominating a candidate leader-like population without establishing causality. In the longitudinal cohort, expression of GABRG3, TAGLN, MLPH and AZGP1 in initially benign lesions was associated with subsequent ipsilateral malignancy. These findings support a model in which progression-relevant breast tissue remodeling may begin at the DH stage and nominate cellular states and candidate biomarkers for prospective validation in breast cancer risk stratification among patients with DH.
- organism: human
- assay: spatial transcriptomics
- assay: bulk RNA-seq
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: experimental assay
- approach: statistical model
- Citations
- 0
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