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Spatial subsetting enables integrative modeling of oral squamous cell carcinoma multiplex imaging data.
Einhaus, Jakob; Gaudilliere, Dyani K; Hedou, Julien; Feyaerts, Dorien; Ozawa, Michael G; Sato, Masaki; Ganio, Edward A; Tsai, Amy S; Stelzer, Ina A; Bruckman, Karl C; Amar, Jonas N; Sabayev, Maximilian; Bonham, Thomas A; Gillard, Joshua; Diop, Maïgane; Cambriel, Amelie; Mihalic, Zala N; Valdez, Tulio; Liu, Stanley Y; Feirrera, Leticia; Lam, David K; Sunwoo, John B; Schürch, Christian M; Gaudilliere, Brice; Han, Xiaoyuan.
  • Einhaus J; Department of Anesthesiology, Perioperative & Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Gaudilliere DK; Department of Pathology and Neuropathology, University Hospital and Comprehensive Cancer Center Tübingen, Tübingen, Germany.
  • Hedou J; Division of Plastic and Reconstructive Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
  • Feyaerts D; Department of Anesthesiology, Perioperative & Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Ozawa MG; Department of Anesthesiology, Perioperative & Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Sato M; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • Ganio EA; Department of Anesthesiology, Perioperative & Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Tsai AS; Department of Anesthesiology, Perioperative & Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Stelzer IA; Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
  • Bruckman KC; Department of Anesthesiology, Perioperative & Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Amar JN; Division of Plastic and Reconstructive Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
  • Sabayev M; Department of Anesthesiology, Perioperative & Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Bonham TA; Department of Anesthesiology, Perioperative & Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Gillard J; Department of Anesthesiology, Perioperative & Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Diop M; Department of Anesthesiology, Perioperative & Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Cambriel A; Department of Anesthesiology, Perioperative & Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Mihalic ZN; Department of Anesthesiology, Perioperative & Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Valdez T; Department of Anesthesiology, Perioperative & Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Liu SY; Division of Pediatrics, Department of Otolaryngology, Stanford University School of Medicine, Stanford, CA, USA.
  • Feirrera L; Division of Plastic and Reconstructive Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
  • Lam DK; Division of Sleep Surgery, Department of Otolaryngology, Stanford University School of Medicine, Stanford, CA, USA.
  • Sunwoo JB; Department of Oral and Maxillofacial Surgery, University of the Pacific, Arthur A. Dugoni School of Dentistry, San Francisco, CA, USA.
  • Schürch CM; Department of Oral and Maxillofacial Surgery, University of the Pacific, Arthur A. Dugoni School of Dentistry, San Francisco, CA, USA.
  • Gaudilliere B; Division of Head and Neck Surgery, Department of Otolaryngology, Stanford University School of Medicine, Stanford, CA, USA.
  • Han X; Department of Pathology and Neuropathology, University Hospital and Comprehensive Cancer Center Tübingen, Tübingen, Germany.
iScience ; 26(12): 108486, 2023 Dec 15.
Article en En | MEDLINE | ID: mdl-38125025
ABSTRACT
Oral squamous cell carcinoma (OSCC), a prevalent and aggressive neoplasm, poses a significant challenge due to poor prognosis and limited prognostic biomarkers. Leveraging highly multiplexed imaging mass cytometry, we investigated the tumor immune microenvironment (TIME) in OSCC biopsies, characterizing immune cell distribution and signaling activity at the tumor-invasive front. Our spatial subsetting approach standardized cellular populations by tissue zone, improving feature reproducibility and revealing TIME patterns accompanying loss-of-differentiation. Employing a machine-learning pipeline combining reliable feature selection with multivariable modeling, we achieved accurate histological grade classification (AUC = 0.88). Three model features correlated with clinical outcomes in an independent cohort granulocyte MAPKAPK2 signaling at the tumor front, stromal CD4+ memory T cell size, and the distance of fibroblasts from the tumor border. This study establishes a robust modeling framework for distilling complex imaging data, uncovering sentinel characteristics of the OSCC TIME to facilitate prognostic biomarkers discovery for recurrence risk stratification and immunomodulatory therapy development.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2023 Tipo del documento: Article