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Prediction of Response to Anti-Angiogenic Treatment for Advanced Colorectal Cancer Patients: From Biological Factors to Functional Imaging.
Corrias, Giuseppe; Lai, Eleonora; Ziranu, Pina; Mariani, Stefano; Donisi, Clelia; Liscia, Nicole; Saba, Giorgio; Pretta, Andrea; Persano, Mara; Fanni, Daniela; Spanu, Dario; Balconi, Francesca; Loi, Francesco; Deidda, Simona; Restivo, Angelo; Pusceddu, Valeria; Puzzoni, Marco; Solinas, Cinzia; Massa, Elena; Madeddu, Clelia; Gerosa, Clara; Zorcolo, Luigi; Faa, Gavino; Saba, Luca; Scartozzi, Mario.
Affiliation
  • Corrias G; Department of Radiology, University of Cagliari, 09042 Cagliari, Italy.
  • Lai E; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
  • Ziranu P; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
  • Mariani S; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
  • Donisi C; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
  • Liscia N; Department of Medical Oncology, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, 20132 Milan, Italy.
  • Saba G; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
  • Pretta A; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
  • Persano M; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
  • Fanni D; Division of Pathology, Department of Medical Sciences and Public Health, AOU Cagliari, University of Cagliari, 09124 Cagliari, Italy.
  • Spanu D; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
  • Balconi F; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
  • Loi F; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
  • Deidda S; Colorectal Surgery Unit, A.O.U. Cagliari, Department of Surgical Science, University of Cagliari, 09042 Cagliari, Italy.
  • Restivo A; Colorectal Surgery Unit, A.O.U. Cagliari, Department of Surgical Science, University of Cagliari, 09042 Cagliari, Italy.
  • Pusceddu V; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
  • Puzzoni M; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
  • Solinas C; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
  • Massa E; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
  • Madeddu C; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
  • Gerosa C; Division of Pathology, Department of Medical Sciences and Public Health, AOU Cagliari, University of Cagliari, 09124 Cagliari, Italy.
  • Zorcolo L; Colorectal Surgery Unit, A.O.U. Cagliari, Department of Surgical Science, University of Cagliari, 09042 Cagliari, Italy.
  • Faa G; Division of Pathology, Department of Medical Sciences and Public Health, AOU Cagliari, University of Cagliari, 09124 Cagliari, Italy.
  • Saba L; Department of Radiology, University of Cagliari, 09042 Cagliari, Italy.
  • Scartozzi M; Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy.
Cancers (Basel) ; 16(7)2024 Mar 30.
Article in En | MEDLINE | ID: mdl-38611042
ABSTRACT
Colorectal cancer (CRC) is a leading tumor worldwide. In CRC, the angiogenic pathway plays a crucial role in cancer development and the process of metastasis. Thus, anti-angiogenic drugs represent a milestone for metastatic CRC (mCRC) treatment and lead to significant improvement of clinical outcomes. Nevertheless, not all patients respond to treatment and some develop resistance. Therefore, the identification of predictive factors able to predict response to angiogenesis pathway blockade is required in order to identify the best candidates to receive these agents. Unfortunately, no predictive biomarkers have been prospectively validated to date. Over the years, research has focused on biologic factors such as genetic polymorphisms, circulating biomarkers, circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and microRNA. Moreover, research efforts have evaluated the potential correlation of molecular biomarkers with imaging techniques used for tumor assessment as well as the application of imaging tools in clinical practice. In addition to functional imaging, radiomics, a relatively newer technique, shows real promise in the setting of correlating molecular medicine to radiological phenotypes.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Cancers (Basel) Year: 2024 Document type: Article Affiliation country: Italia

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Cancers (Basel) Year: 2024 Document type: Article Affiliation country: Italia
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