Transcriptional subtype-specific microenvironmental crosstalk and tumor cell plasticity in metastatic pancreatic cancer
Raghavan, S.; Winter, P. S.; Navia, A. W.; Williams, H. L.; DenAdel, A.; Kalekar, R. L.; Galvez-Reyes, J.; Lowder, K. E.; Mulugeta, N.; Raghavan, M. S.; Borah, A. A.; Vayrynen, S. A.; Dias Costa, A.; Ng, R. W. S.; Wang, J.; Reilly, E.; Ragon, D. Y.; Brais, L. K.; Jaeger, A. M.; Spurr, L. F.; Li, Y. Y.; Cherniack, A. D.; Wakiro, I.; Rotem, A.; Johnson, B. E.; McFarland, J. M.; Sicinska, E. T.; Jacks, T. E.; Clancy, T. E.; Perez, K.; Rubinson, D. A.; Ng, K.; Cleary, J. M.; Crawford, L.; Manalis, S. R.; Nowak, J. A.; Wolpin, B. M.; Hahn, W. C.; Aguirre, A. J.; Shalek, A. K.
Show abstract
Bulk transcriptomic studies have defined classical and basal-like gene expression subtypes in pancreatic ductal adenocarcinoma (PDAC) that correlate with survival and response to chemotherapy; however, the underlying mechanisms that govern these subtypes and their heterogeneity remain elusive. Here, we performed single-cell RNA-sequencing of 23 metastatic PDAC needle biopsies and matched organoid models to understand how tumor cell-intrinsic features and extrinsic factors in the tumor microenvironment (TME) shape PDAC cancer cell phenotypes. We identify a novel cancer cell state that co-expresses basal-like and classical signatures, demonstrates upregulation of developmental and KRAS-driven gene expression programs, and represents a transitional intermediate between the basal-like and classical poles. Further, we observe structure to the metastatic TME supporting a model whereby reciprocal intercellular signaling shapes the local microenvironment and influences cancer cell transcriptional subtypes. In organoid culture, we find that transcriptional phenotypes are plastic and strongly skew toward the classical expression state, irrespective of genotype. Moreover, we show that patient-relevant transcriptional heterogeneity can be rescued by supplementing organoid media with factors found in the TME in a subtype-specific manner. Collectively, our study demonstrates that distinct microenvironmental signals are critical regulators of clinically relevant PDAC transcriptional states and their plasticity, identifies the necessity for considering the TME in cancer modeling efforts, and provides a generalizable approach for delineating the cell-intrinsic versus -extrinsic factors that govern tumor cell phenotypes.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Lymphocyte networks are dynamic cellular communities in the immunoregulatory landscape of lung adenocarcinoma 97%
- Single-cell lineage and transcriptome reconstruction of metastatic cancer reveals selection of aggressive hybrid EMT states 96%
- High-resolution single-cell atlas reveals diversity and plasticity of tissue-resident neutrophils in non-small cell lung cancer 95%
Similar papers in this journal
- Stromal remodeling regulates dendritic cell abundance and activity in the tumor microenvironment 95%
- FOXA1 mutations co-opt nascent transcription factor networks in partnership with androgen receptor to enhance prostate tumorigenicity 95%
- Mapping the tumor stress network reveals dynamic shifts in the stromal oxidative stress response 95%
Similar papers in this journal
- Spatially defined multicellular functional units in colorectal cancer revealed from single cell and spatial transcriptomics 97%
- Tissue-resident NK cells support survival in pancreatic cancer through promotion of cDC1-CD8T activity 96%
- Pancreatic tumors activate arginine biosynthesis to adapt to myeloid-driven amino acid stress 96%
Similar papers in this journal
- Human colorectal pre-cancer atlas identifies distinct molecular programs underlying two major subclasses of pre-malignant tumors 96%
- A Modular Master Regulator Landscape Determines the Impact of Genetic Alterations on the Transcriptional Identity of Cancer Cells 96%
- Neoantigen-driven B cell and CD4+ T follicular helper cell collaboration promotes robust anti-tumor CD8+ T cell responses 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.