Phenotype-cloud reorganization drives breast cancer progression and chemotherapy adaptation
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A bioRxiv preprint in cancer biology reports that the phenotype cloud reorganizes during breast cancer progression. Integrating spatial transcriptomic, single-cell, spatial proteomic, bulk-transcriptomic and perturbational data, the team used a graph-neural-network-derived progression coordinate and Field-Flow-Front analysis to map the transition from a fragmented, high-mixing intermediate state to a stabilized interface-remodelling Front, a stabilization not seen in normal breast tissue. The work further indicates that after chemotherapy, a restricted set of survivor states supported by diverse transcriptional and regulatory routes becomes enriched. The findings remain at preprint stage and have not yet undergone peer review, and independent validation of the progression coordinate and the survivor-state enrichment in patient cohorts is still open.
Written by a model from the reports · updated 3 hours ago
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- bioRxivPickPhenotype-cloud reorganization shapes cancer progression and therapeutic adaptation
A bioRxiv preprint reports that the phenotype cloud reorganizes during breast cancer progression, and that after chemotherapy a restricted set of survivor states supported by diverse transcriptional and regulatory routes becomes enriched. The team integrated spatial transcriptomic, single-cell, spatial proteomic, bulk-transcriptomic and perturbational data, using a graph-neural-network-derived progression coordinate and Field-Flow-Front analysis to identify the transition from a fragmented, high-mixing intermediate state to a stabilized interface-remodelling Front; normal breast tissue showed no comparable stabilization.
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