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Machine learning links T cell function and spatial localization to neoadjuvant immunotherapy and clinical outcome in pancreatic cancer.
Blise, Katie E; Sivagnanam, Shamilene; Betts, Courtney B; Betre, Konjit; Kirchberger, Nell; Tate, Benjamin; Furth, Emma E; Dias Costa, Andressa; Nowak, Jonathan A; Wolpin, Brian M; Vonderheide, Robert H; Goecks, Jeremy; Coussens, Lisa M; Byrne, Katelyn T.
Affiliation
  • Blise KE; Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR USA.
  • Sivagnanam S; The Knight Cancer Institute, Oregon Health & Science University, Portland, OR USA.
  • Betts CB; The Knight Cancer Institute, Oregon Health & Science University, Portland, OR USA.
  • Betre K; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR USA.
  • Kirchberger N; The Knight Cancer Institute, Oregon Health & Science University, Portland, OR USA.
  • Tate B; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR USA.
  • Furth EE; Current affiliation: Akoya Biosciences, 100 Campus Drive, 6th Floor, Marlborough, MA USA.
  • Dias Costa A; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR USA.
  • Nowak JA; Department of Cell, Developmental & Cancer Biology, Oregon Health & Science University, Portland, OR USA.
  • Wolpin BM; The Knight Cancer Institute, Oregon Health & Science University, Portland, OR USA.
  • Vonderheide RH; Immune Monitoring and Cancer Omics Services, Oregon Health & Science University, Portland, OR USA.
  • Goecks J; Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA USA.
  • Coussens LM; Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA.
  • Byrne KT; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA USA.
bioRxiv ; 2023 Oct 23.
Article in En | MEDLINE | ID: mdl-37961410

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2023 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2023 Document type: Article Country of publication: