Preface

*Cancer Bioinformatics* is organized around examples of the use of bioinformatics in precision oncology. It contains seven chapters.

Chapter 1 is an introductory chapter in which the editors introduce cancer as a complex and multifactorial disease and bioinformatics multiomics approaches that can be applied and used to study the disease.

Chapter 2, "Urologic Cancer Molecular Biology", focuses on molecular mechanisms underlying the urological carcinogenic processes, the molecular pathways involved in this process, and the biomarkers useful for diagnosis, predictability, and treatment to improve the outcomes of cancer patients.

Chapter 3, "Control of Cytoskeletal Dynamics in Cancer through a Combination of Cytoskeletal Components", investigates the molecular mechanism behind S100A4 function in epithelial-mesenchymal transition, demonstrating its participation in myosin dynamics modulation. Understanding the signaling pathways involved provides a better understanding of the changes that occur during metastasis leading to the identification of proteins that can be targeted for treatment, resulting in lower mortality.

Chapter 4, "Identification of Biomarkers Associated with Cancer Using Integrated Bioinformatic Analysis", reports various types of biomarkers associated with different types of cancer and their identification using integrated bioinformatic analysis. It also provides insight into integrated bioinformatics analysis tools and databases for cancer biomarkers prediction.

Chapter 5, "The Clinical Usefulness of Prostate Cancer Biomarkers: Current and Future Directions", reports emerging molecular biomarkers such as exosomal miRNAs and proteins that provide precise indications for cancer diagnostics, prognostics, and prediction and can be used in monitoring therapeutic response.

Chapter 6, "The Role of Registration in Cancer Control and Prevention", examines the importance of cancer registries that play an essential role in estimations of the burden of cancer for different geographic areas and in cancer control and prevention.

Chapter 7, "Dotting the "i" of Interoperability in FAIR Cancer-Registry Data Sets", describes an approach to making cancer registry data FAIR (findable, accessible, interoperable, and reusable) using ontologies with practical examples of how the validation rules can be modelled with description logic.

The editors would like to thank all the authors for their contributions. We are also grateful to IntechOpen, particularly Ms. Maja Bozicevic and Ms. Anja Filipovic, for their assistance and patience throughout the publication process of this book.

#### **Ghedira Kais**

Laboratory of Bioinformatics, Biomathematics and Biostatistics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia

#### **Yosr Hamdi**

Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia

## Section 1
