Prediction of Response to Anti-Angiogenic Treatment for Advanced Colorectal Cancer Patients: From Biological Factors to Functional Imaging.
Giuseppe CorriasEleonora LaiPina ZiranuStefano MarianiClelia DonisiNicole LisciaGiorgio SabaAndrea PrettaMara PersanoDaniela FanniDario SpanuFrancesca BalconiFrancesco LoiSimona DeiddaAngelo RestivoValeria PuscedduMarco PuzzoniCinzia SolinasElena MassaClelia MadedduClara GerosaLuigi ZorcoloGavino FaaLuca SabaMario ScartozziPublished in: Cancers (2024)
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.
Keyphrases
- circulating tumor
- circulating tumor cells
- high resolution
- end stage renal disease
- ejection fraction
- newly diagnosed
- squamous cell carcinoma
- prognostic factors
- clinical practice
- cell free
- rheumatoid arthritis
- magnetic resonance
- single molecule
- magnetic resonance imaging
- young adults
- mass spectrometry
- lymph node metastasis
- quality improvement
- patient reported outcomes
- artificial intelligence
- photodynamic therapy
- vascular endothelial growth factor
- squamous cell
- replacement therapy
- human health