Abstract
The development and subsequent adaptation of mass cytometry for the histological analysis of tissue sections has allowed the simultaneous spatial characterization of multiple components. This is useful to find the correlation between the genotypic and phenotypic profile of tumor cells and their environment in clinical-translational studies. In this revision, we provide an overview of the most relevant hallmarks in the development, implementation and application of multiplexed imaging in the study of cancer and other conditions. A special focus is placed on studies based on imaging mass cytometry (IMC) and multiplexed ion beam imaging (MIBI). The purpose of this review is to help our readers become familiar with the verification techniques employed on this tool and outline the multiple applications reported in the literature. This review will also provide guidance on the use of IMC or MIBI in any field of biomedical research.
Highlights
Considerable efforts have been made to try to integrate the different sources of information about tumor biology, such as morphology and genetic features [1,2,3,4]; Karina Cereceda and Roddy Jorquera contributed to this work.Tumor microenvironment is defined as the extracellular environment and cellular components of the affected organ, surrounding tumor cells
A special focus is placed on studies based on imaging mass cytometry (IMC) and multiplexed ion beam imaging (MIBI)
In 2014, Giesen et al reported the usefulness of cytometry by time-of-flight (CyTOF) for the analysis of suspended tissue specimens to acquire multi-parametric images using CyTOF technology
Summary
Considerable efforts have been made to try to integrate the different sources of information about tumor biology, such as morphology and genetic features [1,2,3,4]; Karina Cereceda and Roddy Jorquera contributed to this work. There is cumulative evidence demonstrating that non-neoplastic cells residing in tumoradjacent tissues may play an active role in the neoplastic process and even facilitate the evasion of tumor cells from the immune system [7] In this scenario, tumor microenvironment may promote malignant transformation and progression, metastasis and even resistance to conventional and emerging therapies [6, 8]. Evidence-based research and technological advances have pushed modern health centers to progressively adopt a holistic, patient-centered care approach [9]. Such advances have facilitated patient stratification based on enhanced diagnostic tools and on the use of instruments predicting therapy success, especially in cancer patients. Cereceda et al.: IMC for the analysis of tumor microenvironment and beyond and artificial intelligence [15], among other technological advances, make it possible to stratify patient populations into subpopulations, based on their risk to develop a given condition or respond to a particular therapy
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