학술논문

Prediction of Response to Anti-Angiogenic Treatment for Advanced Colorectal Cancer Patients: From Biological Factors to Functional Imaging
Document Type
Academic Journal
Source
Cancers. April, 2024, Vol. 16 Issue 7
Subject
Imaging technology
Medical research
Medicine, Experimental
Antineoplastic agents
Metastasis -- Care and treatment
Colorectal cancer -- Care and treatment
Genetic polymorphisms
MicroRNA
Cancer -- Care and treatment
Imaging systems
Antimitotic agents
Language
English
ISSN
2072-6694
Abstract
In this review, we aim to analyze the molecular bases of angiogenesis in metastatic colorectal cancer (mCRC) and to provide an overview of potential predictive factors for treatment response to anti-angiogenic drugs in mCRC patients. We based our research on literature data focusing on circulating, tissue, and imaging biomarkers that can potentially be used to predict tumour response to anti-angiogenic inhibitors. In this perspective, biological factors and functional imaging seem very promising approaches and further research in these fields will provide clinicians with useful tools to improve patient selection and outcomes. 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.
Author(s): Giuseppe Corrias [1,†]; Eleonora Lai [2,†]; Pina Ziranu [2]; Stefano Mariani [2]; Clelia Donisi [2]; Nicole Liscia [3]; Giorgio Saba [2]; Andrea Pretta [2]; Mara Persano [2]; Daniela Fanni [...]