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Use of Deep Learning to Evaluate Tumor Microenvironmental Features for Prediction of Colon Cancer Recurrence.

Autor: Sinicrope FA; Departments of Medicine and Oncology, Rochester, Minnesota.; Gastrointestinal Research Unit, Mayo Clinic, Rochester, Minnesota., Nelson GD; Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota.; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota., Saberzadeh-Ardestani B; Gastrointestinal Research Unit, Mayo Clinic, Rochester, Minnesota., Segovia DI; Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota.; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota., Graham RP; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota., Wu C; Division of Medical Oncology, Mayo Clinic, Phoenix, Arizona., Hagen CE; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota., Shivji S; Department of Pathology, Mount Sinai Hospital, Toronto, Ontario, Canada., Savage P; Mount Sinai Hospital, Toronto, Ontario, Canada., Buchanan DD; Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia.; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia.; Genetic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia., Jenkins MA; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia., Phipps AI; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.; Department of Epidemiology, University of Washington, Seattle, Washington., Swallow C; Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada., LeMarchand L; Department of Epidemiology, University of Hawaii, Honolulu, Hawaii., Gallinger S; Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada., Grant RC; Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada., Pai RK; Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania., Sinicrope SN; University of Chicago Medical Center, Chicago, Illinois., Yan D; Roche Tissue Diagnostics, Tucson, Arizona., Shanmugam K; Roche Tissue Diagnostics, Tucson, Arizona., Conner J; Department of Pathology, Mount Sinai Hospital, Toronto, Ontario, Canada., Cyr DP; Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada., Kirsch R; Department of Pathology, Mount Sinai Hospital, Toronto, Ontario, Canada., Banerjee I; Department of Radiology and Machine Intelligence in Medicine and Imaging Center (MI-2), Mayo Clinic Arizona, Phoenix, Arizona., Alberts SR; Department of Oncology, Mayo Clinic, Rochester, Minnesota., Shi Q; Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota.; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota., Pai RK; Department of Pathology and Laboratory Medicine, Mayo Clinic, Arizona.

Publikováno v: Cancer research communications [Cancer Res Commun] 2024 May 23; Vol. 4 (5), pp. 1344-1350.