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Preclinical Cancer Research - Models and Imaging
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Guest Editor

Ana Paula Candiota

Ana Paula Candiota

Autonomous University of Barcelona (UAB)

Dr. Candiota holds a Pharmacy degree and earned her PhD in Biochemistry and Molecular Biology from the Autonomous University of Barcelona (UAB) in 2005. From 2007 to 2023, she held a permanent postdoctoral position at the Centro de Investigación Biomédica en Red: Bioingeniería, Biomateriales y Nanomedicina, affiliated with the NMR Biomedical Applications Group (GABRMN) at UAB. During this tenure, she developed expertise in preclinical models of brain tumors, encompassing induced and genetically engineered models. These models formed the foundation for noninvasive studies of tumor grading and response to therapy using magnetic resonance imaging (MRI) and spectroscopy methods, augmented by the application of artificial intelligence for data analysis. Furthermore, the research group conducted experiments with various therapeutic approaches and novel contrast agents in their preclinical models through collaborative efforts worldwide. In 2023, Dr. Candiota attained a permanent position as Associate Professor at UAB and assumed leadership of the GABRMN group. Presently, the group focuses on comprehending changes in the tumor microenvironment following successful therapy and their manifestation in MRI/MRSI data, thereby enhancing noninvasive monitoring. Continued collaboration also fuels the group's interest in innovative therapeutic strategies rooted in nanotherapy. 

Collection Overview

The study of cancer heavily relies on preclinical models to gain insights into disease mechanisms and develop effective therapies. Murine and rat models are particularly noteworthy due to their genetic similarity to humans and cost-effectiveness. In this special issue, we explore advancements in using these models with a special view to therapeutic targets and drug efficacy and follow-up therapeutic interventions. Furthermore, immunocompetent models shed light on the interaction between the immune system and cancer, thus paving the way for immunotherapy, while xenografts can be of interest in other type of investigation and are usually preludes for clinical investigation. This special issue covers the diverse range of models employed in cancer research and their valuable contributions to advancing our understanding of cancer biology. Moreover, we delve into the role of biomedical imaging in monitoring disease progression and treatment response in these models. Biomedical imaging techniques offer a non-invasive approach to monitor tumor growth and therapy response. Modalities such as MRI/MRS/MRSI, PET, CT, and optical imaging provide valuable insights into tumor biology and the microenvironment. The integration of molecular imaging probes may enhance sensitivity and specificity in cancer detection. Within this special issue, we discuss the latest advancements in biomedical imaging for preclinical cancer research and their utility in guiding personalized treatment strategies. 

Articles

A Dorsal Skinfold Window Chamber Tumor Mouse Model for Combined Intravital Microscopy and Magnetic Resonance Imaging in Translational Cancer Research
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A Dorsal Skinfold Window Chamber Tumor Mouse Model for Combined Intravital Microscopy and Magnetic Resonance Imaging in Translational Cancer Research

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Cited by 4

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2024

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Abstracts

A Multimodal Approach to Map T Cell Trafficking and Activation from Subcutaneous Tumors to Liver Metastases in Photoconvertible Mice

Alvaro TTeijeira*1

1CIMA, Universidad de Navarra

Orthotopic Model of Mandibular Bone Invasion for Squamous Cell Carcinoma for Preclinical Modeling

Hope Amm*1

1Augusta University