Prediction of Response to Anti-Angiogenic Treatment for Advanced Colorectal Cancer Patients: From Biological Factors to Functional Imaging

Author:

Corrias Giuseppe1,Lai Eleonora2ORCID,Ziranu Pina2,Mariani Stefano2,Donisi Clelia2,Liscia Nicole3,Saba Giorgio2,Pretta Andrea2,Persano Mara2,Fanni Daniela4ORCID,Spanu Dario2,Balconi Francesca2,Loi Francesco2,Deidda Simona5ORCID,Restivo Angelo5,Pusceddu Valeria2ORCID,Puzzoni Marco2,Solinas Cinzia2,Massa Elena2,Madeddu Clelia2,Gerosa Clara4,Zorcolo Luigi5ORCID,Faa Gavino4ORCID,Saba Luca1ORCID,Scartozzi Mario2ORCID

Affiliation:

1. Department of Radiology, University of Cagliari, 09042 Cagliari, Italy

2. Medical Oncology Unit, University Hospital and University of Cagliari, 09042 Cagliari, Italy

3. Department of Medical Oncology, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, 20132 Milan, Italy

4. Division of Pathology, Department of Medical Sciences and Public Health, AOU Cagliari, University of Cagliari, 09124 Cagliari, Italy

5. Colorectal Surgery Unit, A.O.U. Cagliari, Department of Surgical Science, University of Cagliari, 09042 Cagliari, Italy

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.

Funder

Italian Ministry of University and Research

European Union

Publisher

MDPI AG

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