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Diagnostic Challenges during Inflammation and Cancer: Current Biomarkers and Future Perspectives in Navigating through the Minefield of Reactive versus Dysplastic and Cancerous Lesions in the Digestive System.
Pateras, Ioannis S; Igea, Ana; Nikas, Ilias P; Leventakou, Danai; Koufopoulos, Nektarios I; Ieronimaki, Argyro Ioanna; Bergonzini, Anna; Ryu, Han Suk; Chatzigeorgiou, Antonios; Frisan, Teresa; Kittas, Christos; Panayiotides, Ioannis G.
Afiliação
  • Pateras IS; 2nd Department of Pathology, "Attikon" University Hospital, Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece.
  • Igea A; Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), 15706 Santiago de Compostela, Spain.
  • Nikas IP; Mobile Genomes, Centre for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela (USC), 15706 Santiago de Compostela, Spain.
  • Leventakou D; Medical School, University of Cyprus, 2029 Nicosia, Cyprus.
  • Koufopoulos NI; 2nd Department of Pathology, "Attikon" University Hospital, Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece.
  • Ieronimaki AI; 2nd Department of Pathology, "Attikon" University Hospital, Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece.
  • Bergonzini A; 2nd Department of Pathology, "Attikon" University Hospital, Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece.
  • Ryu HS; Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52 Stockholm, Sweden.
  • Chatzigeorgiou A; Department of Molecular Biology and Umeå Centre for Microbial Research (UCMR), Umeå University, 901 87 Umeå, Sweden.
  • Frisan T; Department of Pathology, Seoul National University Hospital, Seoul 03080, Republic of Korea.
  • Kittas C; Department of Physiology, Medical School, National and Kapodistrian University of Athens, 115 27 Athens, Greece.
  • Panayiotides IG; Department of Molecular Biology and Umeå Centre for Microbial Research (UCMR), Umeå University, 901 87 Umeå, Sweden.
Int J Mol Sci ; 25(2)2024 Jan 19.
Article em En | MEDLINE | ID: mdl-38279253
ABSTRACT
In the setting of pronounced inflammation, changes in the epithelium may overlap with neoplasia, often rendering it impossible to establish a diagnosis with certainty in daily clinical practice. Here, we discuss the underlying molecular mechanisms driving tissue response during persistent inflammatory signaling along with the potential association with cancer in the gastrointestinal tract, pancreas, extrahepatic bile ducts, and liver. We highlight the histopathological challenges encountered in the diagnosis of chronic inflammation in routine practice and pinpoint tissue-based biomarkers that could complement morphology to differentiate reactive from dysplastic or cancerous lesions. We refer to the advantages and limitations of existing biomarkers employing immunohistochemistry and point to promising new markers, including the generation of novel antibodies targeting mutant proteins, miRNAs, and array assays. Advancements in experimental models, including mouse and 3D models, have improved our understanding of tissue response. The integration of digital pathology along with artificial intelligence may also complement routine visual inspections. Navigating through tissue responses in various chronic inflammatory contexts will help us develop novel and reliable biomarkers that will improve diagnostic decisions and ultimately patient treatment.
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Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Int J Mol Sci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Grécia

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Int J Mol Sci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Grécia