Research map: Spatially resolved tissue architecture and computational pathology in pancreatic cancer

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  1. Genomic analyses identify molecular subtypes of pancreatic cancer · Peter J. Bailey · 2016 · 3805 citations · Cited by this paper
  2. METTL14-dependent N6-methyladenosine modification of FGF16 participates in IGFBP5 deficiency-enhanced angiogenesis · 2026 · Related
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  7. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images · Gabriele S. V. Campanella · 2019 · 2867 citations · Cited by this paper
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  9. Distinct populations of inflammatory fibroblasts and myofibroblasts in pancreatic cancer · Daniel Öhlund · 2017 · 2631 citations · Cited by this paper
  10. Cannabidiol triggers fatty acids β-oxidation mediated by Stat2 to facilitate intestinal stem cells regeneration post radiation · 2026 · Related
  11. Distant metastasis occurs late during the genetic evolution of pancreatic cancer · Shinichi Yachida · 2010 · 2562 citations · Cited by this paper
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  13. Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma · Richard A. Moffitt · 2015 · 2315 citations · Cited by this paper
  14. RUNX1 recruitment of GCN5 in keratinocytes upregulates ICOSLG and promotes T cell activation in the psoriasis microenvironment · 2026 · Related
  15. Cross-Species Single-Cell Analysis of Pancreatic Ductal Adenocarcinoma Reveals Antigen-Presenting Cancer-Associated Fibroblasts · Ela Elyada · 2019 · 2293 citations · Cited by this paper
  16. Dynamics, function, and regulation of mammary stem cells in development and disease · 2026 · Related
  17. Data-efficient and weakly supervised computational pathology on whole-slide images · Ming Y. Lu · 2021 · 2284 citations · Cited by this paper
  18. Spatial Analysis of Intraductal Papillary Mucinous Neoplasms Defines a Paradoxical Keratin 17-Positive, Low-Grade Epithelial Population Harboring Malignant Features · 2026 · Related
  19. Subtypes of pancreatic ductal adenocarcinoma and their differing responses to therapy · Eric Andrew Collisson · 2011 · 2065 citations · Cited by this paper
  20. Towards a general-purpose foundation model for computational pathology · Richard J. Chen · 2024 · 1473 citations · Cited by this paper
  21. Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas · Reuben M. Moncada · 2020 · 1121 citations · Cited by this paper
  22. A visual-language foundation model for computational pathology · Ming Y. Lu · 2024 · 921 citations · Cited by this paper
  23. A whole-slide foundation model for digital pathology from real-world data · Hanwen Xu · 2024 · 870 citations · Cited by this paper
  24. Transcription phenotypes of pancreatic cancer are driven by genomic events during tumor evolution · Michelle Chan Seng Yue · 2020 · 718 citations · Cited by this paper
  25. Spatial omics and multiplexed imaging to explore cancer biology · Sabrina M. Lewis · 2021 · 672 citations · Cited by this paper
  26. Pan-cancer integrative histology-genomic analysis via multimodal deep learning · Richard J. Chen · 2022 · 657 citations · Cited by this paper
  27. Spatial computation of intratumoral T cells correlates with survival of patients with pancreatic cancer · Julienne L. Carstens · 2017 · 654 citations · Cited by this paper
  28. Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology · David Tellez · 2019 · 633 citations · Cited by this paper
  29. Microenvironment drives cell state, plasticity, and drug response in pancreatic cancer · Srivatsan Raghavan · 2021 · 625 citations · Cited by this paper
  30. Multimodal mapping of the tumor and peripheral blood immune landscape in human pancreatic cancer · Nina G. Steele · 2020 · 611 citations · Cited by this paper
  31. Stratification of Pancreatic Ductal Adenocarcinomas Based on Tumor and Microenvironment Features · Francesco Puleo · 2018 · 595 citations · Cited by this paper
  32. Cancer-associated fibroblasts induce antigen-specific deletion of CD8 + T Cells to protect tumour cells · Matthew A. Lakins · 2018 · 585 citations · Cited by this paper
  33. Deep learning-based classification of mesothelioma improves prediction of patient outcome · Pierre Courtiol · 2019 · 578 citations · Cited by this paper
  34. A renewed model of pancreatic cancer evolution based on genomic rearrangement patterns · Faiyaz Notta · 2016 · 564 citations · Cited by this paper
  35. A deep learning model to predict RNA-Seq expression of tumours from whole slide images · Benoît Schmauch · 2020 · 561 citations · Cited by this paper
  36. A pathology foundation model for cancer diagnosis and prognosis prediction · Xiyue Wang · 2024 · 553 citations · Cited by this paper
  37. Stromal Microenvironment Shapes the Intratumoral Architecture of Pancreatic Cancer · Matteo Ligorio · 2019 · 551 citations · Cited by this paper
  38. Pancreatic cancer biology and genetics from an evolutionary perspective · Alvin P. Makohon-Moore · 2016 · 458 citations · Cited by this paper
  39. Pancreatic cancer · Thomas F. Stoop · 2025 · 456 citations · Cited by this paper

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