Spatially Resolved Tumor Ecosystems and Cell States in Gastric Adenocarcinoma Progression and Evolution
Haoran MaiD, Supriya SrivastavaiD, Shamaine Wei Ting HoiD, Chang XuiD, Benedict Shi Xiang LianiD, Xuewen OngiD, Su Ting TayiD, Taotao ShengiD, Huey Yew Jeffrey LumiD, Siti Aishah Binte Abdul GhaniiD, Yunqiang ChuiD, Kie Kyon HuangiD, Yeek Teck GohiD, Ming‐Hui LeeiD, Takeshi HagiharaiD, Clara Shi Ya NgiD, Angie Lay Keng TaniD, Yanrong ZhangiD, Zichen DingiD, Feng ZhuiD, Michelle Shu Wen NgiD, Craig Ryan JosephiD, Hui CheniD, Zhen LiiD, Joseph Jonathan ZhaoiD, , Patrick B. O. TaniD
Abstract
Gastric cancer (GC) is a major cause of global cancer mortality with high heterogeneity levels. To explore geospatial interactions in tumor ecosystems, we integrated 1,563 spatial transcriptomic regions-of-interest (ROIs) with 152,423 single-cell expression profiles across 130 GC samples from 70 patients. We observed pervasive expression-based intratumor heterogeneity, recapitulating tumor progression through spatially localized and functionally ordered subgroups with specific immune microenvironments and immune checkpoint profiles. Evolutionary phylogenetic analysis revealed two different evolutionary trajectories (branched evolution and diaspora evolution) associated with distinct molecular subtypes, clinical prognoses, stromal neighborhoods including VWF+ ACKR1+ endothelial cells, and genetic drivers such as SOX9. Spatial analysis of tumor-stromal interfaces across multiple GCs highlighted new ecosystem states not attributable to mere tumor/stroma admixture, landmarked by increased GREM1 expression. Our results provide insights into how the cellular ecosystems of individual GCs are sculpted by tumor intrinsic and extrinsic selective pressures, culminating in individualized patient-specific cancer cartographies.
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