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Journal of Molecular Medicine (Berlin, Germany)|May 12, 2023
Increased Fusobacterium tumoural abundance affects immunogenicity in mucinous colorectal cancer and may be associated with improved clinical outcomeWilliam P Duggan, Manuela Salvucci, Batuhan Kisakol, et al.
Biorxiv : the Preprint Server for Biology|July 14, 2025
High-Resolution Spatial Proteomics Characterises Colorectal Cancer Consensus Molecular SubtypesBatuhan Kisakol, Anna Sturrock, Sanghee Cho, et al.
JCO Clinical Cancer Informatics|April 18, 2019
A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the ClinicManuela Salvucci, Arman Rahman, Alexa J Resler, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|November 4, 2021
Stratification of chemotherapy-treated stage III colorectal cancer patients using multiplexed imaging and single-cell analysis of T-cell populationsXanthi Stachtea, Maurice B Loughrey, Manuela Salvucci, et al.
Biorxiv : the Preprint Server for Biology|February 6, 2026
A neural network model delivers a highly prognostic protein signature in cancer stem cells that identifies relapse in stage III colorectal cancer patientsAnna Sturrock, Sanghee Cho, Manuela Salvucci, et al.
International Journal of Molecular Sciences|November 14, 2023
Genomic Exploration of Distinct Molecular Phenotypes Steering Temozolomide Resistance Development in Patient-Derived Glioblastoma CellsFederica Fabro, Trisha V Kers, Kate J Feller, et al.
Gut|September 25, 2016
BCL-2 system analysis identifies high-risk colorectal cancer patientsAndreas U Lindner, Manuela Salvucci, Clare Morgan, et al.
Cell Death and Differentiation|November 10, 2021
An atlas of inter- and intra-tumor heterogeneity of apoptosis competency in colorectal cancer tissue at single-cell resolutionAndreas Ulrich Lindner, Manuela Salvucci, Elizabeth McDonough, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|August 24, 2021
Molecular Subtyping Combined with Biological Pathway Analyses to Study Regorafenib Response in Clinically Relevant Mouse Models of Colorectal CancerAdam Lafferty, Alice C O'Farrell, Giorgia Migliardi, et al.
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