Nature Cancer · 2023 · 57 citations · 53 references
MedicineCancer BiologyOncologyMolecular OncologyTranscriptomicsTumor HeterogeneityCancer GenomicsCancer TranscriptomicsMolecular Tumor ProfilingPancreatic CancerTranscriptomic HeterogeneityTranscriptomic ProfilingBiomarker-guided Neoadjuvant TherapyHigh-resolution MappingImmunofluorescence AssaysImmunofluorescence StainingNeoadjuvant ChemoradiotherapyPersister Cell FormationTranscriptome AnalysisWhole Transcriptome Analysis
Abstract Neoadjuvant chemotherapy can improve the survival of individuals with borderline and unresectable pancreatic ductal adenocarcinoma; however, heterogeneous responses to chemotherapy remain a significant clinical challenge. Here, we performed RNA sequencing ( n = 97) and multiplexed immunofluorescence ( n = 122) on chemo-naive and postchemotherapy (post-CTX) resected patient samples (chemoradiotherapy excluded) to define the impact of neoadjuvant chemotherapy. Transcriptome analysis combined with high-resolution mapping of whole-tissue sections identified GATA6 (classical), KRT17 (basal-like) and cytochrome P450 3A (CYP3A) coexpressing cells that were preferentially enriched in post-CTX resected samples. The persistence of GATA6 hi and KRT17 hi cells post-CTX was significantly associated with poor survival after mFOLFIRINOX (mFFX), but not gemcitabine (GEM), treatment. Analysis of organoid models derived from chemo-naive and post-CTX samples demonstrated that CYP3A expression is a predictor of chemotherapy response and that CYP3A-expressing drug detoxification pathways can metabolize the prodrug irinotecan, a constituent of mFFX. These findings identify CYP3A-expressing drug-tolerant cell phenotypes in residual disease that may ultimately inform adjuvant treatment selection.
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