bioRxivCancer BiologyPreprint
Tumor clone dynamics in gastro-esophageal cancer organoids reveal a non-genetic memory of neoadjuvant chemotherapy via downregulation of NFκB signaling
Thi Tuong Vi Dang, Tim SchmächeiD, Dmitrii Severinov, Vivian Mittné, Juliane Fohgrub, Franziska BaenkeiD, Daniel E. StangeiD, Anna R. PoetschiD
Abstract
Adenocarcinomas of the gastroesophageal junction exhibit genetic and non-genetic heterogeneity that impact clinical outcomes, though the underlying mechanisms behind drug resistance remain poorly understood. We integrated bulk whole-genome sequencing (WGS) and single cell RNA sequencing (scRNA-seq) data from patient-derived organoid lines generated from drug resistant gastric tumors of three patients before and after chemotherapy with FLOT (5-fluorouracil, leucovorin, oxaliplatin, and docetaxel), investigating both in vivo and ex vivo treatment effects. We found that inter-patient variability of gene expression exceeds intra-patient differences and predominantly shapes the expression profiles. Integration of WGS-inferred cancer phylogenies with scRNA-seq data allowed us to associate genetic clones with the individual cells transcriptional program and to track the genetic and transcriptomic history of dominant genetic clones in post-treatment samples relative to the corresponding primary tumor. Notably, in vivo treated samples appeared to be transcriptionally distinct from the untreated counterparts, marked by sustained NF-{kappa}B down-regulation, which suggests that they retain an immune-mediated imprint of the prior therapy. Changes in the clonal composition of a tumor alone cannot explain the post-chemotherapy NF-{kappa}B-associated transcriptional reprogramming. Instead, non-genetic mechanisms shape the altered transcriptomic landscape, particularly a distinct subpopulation of epithelial cells that specifically express pro-inflammatory cytokines, key components of the NF-{kappa}B regulatory network. These observations support a model of transcriptional reprogramming after FLOT treatment, which is most likely independent of genetic evolution and consequently potentially reversible. Downregulated NF-{kappa}B signaling may thus represent a candidate pathway change for predictive response assessment and/or NF-{kappa}B-stimulating co-therapeutic strategies to overcome FLOT resistance.
- organism: human
- assay: bulk RNA-seq
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 0
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