HistoAtlas：连接组织形态学与分子程序及临床结果的泛癌图谱

HistoAtlas: A Pan-Cancer Morphology Atlas Linking Histomics to Molecular Programs and Clinical Outcomes

March 17, 2026

作者: Pierre-Antoine Bannier

cs.AI

摘要

我们推出HistoAtlas——一个泛癌种计算图谱，该图谱从21种TCGA癌症类型的6745张诊断性H&E切片中提取出38个可解释的组织学特征，并系统性地将每个特征与生存率、基因表达、体细胞突变及免疫亚型相关联。所有关联均经过协变量校正、多重检验校正，并按证据强度分级。该图谱不仅重现了从免疫浸润、预后判断到增殖活性和激酶信号传导等已知生物学过程，还揭示了具有不同预后的区域特异性免疫信号和形态学亚型。每项结果均可空间溯源至组织区域和单个细胞，经过统计校准并支持开放查询。HistoAtlas无需特殊染色或测序技术，即可从常规H&E切片中实现系统性、大规模生物标志物发现。数据及交互式网络图谱可通过https://histoatlas.com 免费获取。

English

We present HistoAtlas, a pan-cancer computational atlas that extracts 38 interpretable histomic features from 6,745 diagnostic H&E slides across 21 TCGA cancer types and systematically links every feature to survival, gene expression, somatic mutations, and immune subtypes. All associations are covariate-adjusted, multiple-testing corrected, and classified into evidence-strength tiers. The atlas recovers known biology, from immune infiltration and prognosis to proliferation and kinase signaling, while uncovering compartment-specific immune signals and morphological subtypes with divergent outcomes. Every result is spatially traceable to tissue compartments and individual cells, statistically calibrated, and openly queryable. HistoAtlas enables systematic, large-scale biomarker discovery from routine H&E without specialized staining or sequencing. Data and an interactive web atlas are freely available at https://histoatlas.com .