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Preface

Despite the recent advancement in cancer treatment, drug resistance still constitutes a major

cause of death in patients, affecting not only first-generation chemotherapies but also

new-concept, pathway-directed drugs. Thus, it represents a continuous challenge for both

clinical and basic research efforts. The enormous amount of research conducted on this

topic keeps disclosing a complex interplay of different biological mechanisms, interacting

and cooperating in the development of drug resistance.

To the aim of improving the overall clinical outcome of cancer patients, dissecting this wide web of molecular and biological

events is a task of the utmost importance, which imperatively requires solid methodologies,

both for basic research and for reliable preclinical studies.

The growing knowledge of gene alterations associated with drug resistance is now being

progressively integrated by an increased capability to analyze nongenetic events such as

epigenetic and metabolic changes, tumor cell heterogeneity, and cellular interactions

between tumor and microenvironment.

The concept of cancer stem cells, in turn, is influencing the concept of cancer drug resistance, owing to their dynamic features that

make them capable of transitioning to quiescent or drug-resistant states.

Aimed to give a state-of-the-art practical guide, this book brings together a variety of

different protocols, all geared toward identifying cancer drug resistance determinants by

different approaches, at the molecular, cellular, and/or functional levels.

Protocols range from microfluidic cancer cell culture and tumor-microenvironment cell co-culture methods, to workflows for functional assessment of drug resistance in vitro and in vivo, to quantitative techniques for identifying quiescent blood-flow circulating cells, to single-cell characteriza- tion techniques, such as mass cytometry.

 

Updated approaches to genomic and epigenomic, transcriptomic, and metabolomic analyses are also described, importantly also including

advanced computational methods for large dataset sorting and analysis.

Given the diversity of techniques described, we believe this volume will provide readers not only with an updated how-to guide to the latest methods but also with an exciting overview of the wide variety of current, evolving approaches to understanding and over coming anticancer drug resistance.