Molecular Systems BiologyGeneticsPeer-reviewed journal article
Cross-Species Insights from ART-D to Uncover Evolutionarily Conserved Oncogenic Mechanisms
Yifan GuoiD, Jiadong ZhengiD, Yixin WuiD, Kun Zhao, Dian Lv, Wenhan Liu, Mengling Wang, Jinyu Lu, Wenyan XuiD, Xianping WangiD, Xianjue MaiD
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Abstract
Cancer arises from oncogenic clones, yet the dynamic mechanisms governing their stepwise evolution toward malignancy remain incompletely understood. Here, we establish the Atlas of Ras-driven Tumors in Drosophila (ART-D), a systematic, cross-species platform that dissects the molecular and phenotypic trajectories of tumorigenesis through ten genetically defined RasV12-driven models. By integrating longitudinal phenotypic profiling, we define three conserved stages of tumor development--initiation, promotion, and progression--distinguished by dynamic changes in tumor burden and tumor-induced cachexia. Transcriptomic dynamics reveal stage-specific signaling rewiring: early tumorigenesis is marked by co-activation of JAK/STAT, NF-{kappa}B/Toll, and MAPK pathways, whereas malignant progression is driven by Notch hyperactivation and Hippo pathway inactivation. Through integrative multi-omics and machine learning, we uncover an evolutionarily conserved pathogenic network involving coordinated JNK, NF-{kappa}B/Toll, Notch, and Hippo signaling that is functionally validated across species. ART-D provides a transformative resource that bridges Drosophila genetics and human cancer biology, offering a framework for decoding conserved oncogenic principles and enabling precision targeting of stage-specific vulnerabilities in RAS-driven cancers.
- organism: Drosophila
- assay: proteomics
- assay: multiome
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: machine learning (classical)
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