Clinical Applications of Flow Cytometry in Cancer Immunotherapies: From Diagnosis to Treatments

Abstract

The scope of flow cytometry is rapidly expanding in the diagnosis of various cancers, and it is being used routinely as an aid in classifying leukemias and lymphomas. There are several applications of flow cytometry to enumerate tumorigenic anomalies in patients. The unusual distribution of cells in various locations, their DNA content, cell proliferation rate, dysregulated expression of several surface receptors, and expression of tumor antigens are some examples that can be characterized by using different flow cytometry-based techniques. For instance, the differential diagnosis between chronic lymphocytic leukemia (CLL) and various other mature B-cell neoplasms can be made by immunophenotyping in combination with absolute counting of numerous cellular subsets or by enumerating their percent distributions. Flow cytometry has several advantages over conventional techniques which include the ability to acquire a multiparametric data in a relatively shorter time and facilitate the comparative analysis of specific cellular subsets in an efficient manner.In addition to diagnosis, there are several other applications of flow cytometry in the management of various cancers which include treatment monitoring or even selecting a personalized precision-based immunotherapy in synch with advanced genetic tests to increase the chances of favorable prognosis and complete remission. The detection of chimeric antigen receptors (CARs) on various engineered effector cells can also be determined along with their specificity in engaging the targets. Furthermore, the assessment of numerous immunological parameters, their effector functions and potencies including the proliferation dynamics, cytokine secretion profiles, and activation efficiencies can also be measured before starting immunotherapies in patients.This chapter is a brief overview of flow cytometry applications in the diagnosis and treatment strategies of various cancers.

Keywords: ADCC; Cancer; Cell cycle; Cytokines; Degranulation; Fc receptor; Flow cytometry; Hodgkin’s lymphoma; Immunotherapies; Intracellular; Leukemia; Phenotyping; Proliferation; Receptors.