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Deep Learning-Derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-type Metastatic Colorectal Cancer.

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Title: Deep Learning-Derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-type Metastatic Colorectal Cancer.
Authors: Keyl J; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute of Pathology, University Hospital Essen, Essen, Germany., Hosch R; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany., Hörst F; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Cancer Research Center Cologne Essen (CCCE), West German Cancer Center Essen, University Hospital Essen, Essen, Germany., Keyl P; BIFOLD - Berlin Institute for the Foundations of Learning and Data, Berlin, Germany.; Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Berlin, Berlin, Germany.; Institute of Pathology, Ludwig-Maximilians-University Munich, Munich, Germany.; Bavarian Cancer Research Center (BZKF), Munich, Germany., Dada A; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany., Haubold J; Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Straus J; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Egger J; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany., Stahler A; Department of Hematology, Oncology, and Cancer Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany., Kurreck A; Department of Hematology, Oncology, and Cancer Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany., Ballhausen A; Department of Hematology, Oncology, and Cancer Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany., Stintzing S; Department of Hematology, Oncology, and Cancer Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.; German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Centre (DKFZ), Heidelberg, Germany., Fruehauf S; Dr Hancken Hospital, Stade, Germany., Müller L; Onkologie UnterEms, Leer, Germany., Alig AHS; Department of Hematology, Oncology, and Cancer Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany., Trarbach T; Department of Medical Oncology, West German Cancer Center, University Hospital Essen, Essen, Germany.; Reha-Zentrum am Meer, Bad Zwischenahn, Germany., Hartmann S; Institute of Pathology, University Hospital Essen, Essen, Germany., Nensa F; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Kleesiek J; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany., Kasper S; Department of Medical Oncology, West German Cancer Center, University Hospital Essen, Essen, Germany.; National Center for Tumor Diseases (NCT), NCT West, Essen, Germany.; German Cancer Consortium (DKTK), Partner Site Essen, German Cancer Research Centre (DKFZ), Heidelberg, Germany., Schuler M; Department of Medical Oncology, West German Cancer Center, University Hospital Essen, Essen, Germany.; National Center for Tumor Diseases (NCT), NCT West, Essen, Germany.; German Cancer Consortium (DKTK), Partner Site Essen, German Cancer Research Centre (DKFZ), Heidelberg, Germany., Modest DP; Department of Hematology, Oncology, and Cancer Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.; German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Centre (DKFZ), Heidelberg, Germany.
Source: Clinical cancer research : an official journal of the American Association for Cancer Research [Clin Cancer Res] 2026 Mar 02; Vol. 32 (5), pp. 938-946.
Publication Type: Journal Article; Randomized Controlled Trial
Journal Info: Publisher: American Association for Cancer Research Country of Publication: United States NLM ID: 9502500 Publication Model: Print Cited Medium: Internet ISSN: 1557-3265 (Electronic) Linking ISSN: 10780432 NLM ISO Abbreviation: Clin Cancer Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep Learning-Derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-type Metastatic Colorectal Cancer.
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  Data: <searchLink fieldCode="AU" term="%22Keyl+J%22">Keyl J</searchLink>; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute of Pathology, University Hospital Essen, Essen, Germany.<br /><searchLink fieldCode="AU" term="%22Hosch+R%22">Hosch R</searchLink>; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.<br /><searchLink fieldCode="AU" term="%22Hörst+F%22">Hörst F</searchLink>; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Cancer Research Center Cologne Essen (CCCE), West German Cancer Center Essen, University Hospital Essen, Essen, Germany.<br /><searchLink fieldCode="AU" term="%22Keyl+P%22">Keyl P</searchLink>; BIFOLD - Berlin Institute for the Foundations of Learning and Data, Berlin, Germany.; Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Berlin, Berlin, Germany.; Institute of Pathology, Ludwig-Maximilians-University Munich, Munich, Germany.; Bavarian Cancer Research Center (BZKF), Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Dada+A%22">Dada A</searchLink>; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.<br /><searchLink fieldCode="AU" term="%22Haubold+J%22">Haubold J</searchLink>; Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.<br /><searchLink fieldCode="AU" term="%22Straus+J%22">Straus J</searchLink>; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.<br /><searchLink fieldCode="AU" term="%22Egger+J%22">Egger J</searchLink>; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.<br /><searchLink fieldCode="AU" term="%22Stahler+A%22">Stahler A</searchLink>; Department of Hematology, Oncology, and Cancer Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Kurreck+A%22">Kurreck A</searchLink>; Department of Hematology, Oncology, and Cancer Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Ballhausen+A%22">Ballhausen A</searchLink>; Department of Hematology, Oncology, and Cancer Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Stintzing+S%22">Stintzing S</searchLink>; Department of Hematology, Oncology, and Cancer Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.; 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Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.<br /><searchLink fieldCode="AU" term="%22Kleesiek+J%22">Kleesiek J</searchLink>; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.<br /><searchLink fieldCode="AU" term="%22Kasper+S%22">Kasper S</searchLink>; Department of Medical Oncology, West German Cancer Center, University Hospital Essen, Essen, Germany.; National Center for Tumor Diseases (NCT), NCT West, Essen, Germany.; German Cancer Consortium (DKTK), Partner Site Essen, German Cancer Research Centre (DKFZ), Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Schuler+M%22">Schuler M</searchLink>; Department of Medical Oncology, West German Cancer Center, University Hospital Essen, Essen, Germany.; National Center for Tumor Diseases (NCT), NCT West, Essen, Germany.; German Cancer Consortium (DKTK), Partner Site Essen, German Cancer Research Centre (DKFZ), Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Modest+DP%22">Modest DP</searchLink>; Department of Hematology, Oncology, and Cancer Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.; German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Centre (DKFZ), Heidelberg, Germany.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Association+for+Cancer+Research%22">American Association for Cancer Research </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9502500 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1557-3265 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210780432%22">10780432 </searchLink><i>NLM ISO Abbreviation: </i>Clin Cancer Res <i>Subsets: </i>MEDLINE
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