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Page 8                     Spiliopoulou  et al. Cancer Drug Resist 2024;7:2  https://dx.doi.org/10.20517/cdr.2023.46

               Table 2. Phenotype characteristics of T  cells based on tissue distribution highlights the plasticity of T  cells
                                                                                      reg
                                          reg
                Tissue     T  cell phenotype and function
                            reg
                Brain      IL-10, IL-33, IL-35, ST2, CTLA-4, TGF-β, IDO, 5-HT , AREG
                                                          7
                Lung       COX-2, PGE , TGF-β, AREG, IL-33, CD103, PHD, HIFα
                                   2
                Liver      IL-10, IL-35, CTLA-4, TGF-β, SCFAs, AREG, RA, IDO1, COX2, PGE2, GITR, LAG3, ICOS, CD39/CD73, ST2
                Adrenal gland  β1-adrenergic receptors, Glucocorticoid receptor α
                Lymph node  IDO, TGF-β, CTLA-4, ICOS, CXCR5, IL-2, CD28, CD103
                                                       +
                Skin       IL-10, TGF-β, GITR, CTLA-4, Jag1, IDO, OX40 , ARG2, CCR4, CCR6, CLA
                Bone       CD39/CD73, RANK, PGE3, TGF-β, IDO, HIF1α, CXCR4
               T  cells: T regulatory cells; IL: interleukin; CTLA-4: cytotoxic T lymphocyte antigen-4; TGF-β: transforming growth factor beta; IDO: indoleamine-
                reg
               pyrrole 2,3-dioxygenase; AREG: amphiregulin; GITR: glucocorticoid-induced TNFR-related protein; LAG3: lymphocyte-activation gene 3; CCR: C-C
               chemokine receptor.


               (FC) was historically used to evaluate the T  cells and their subsets [70,71] . Even today, the main advantage of
                                                    reg
               flow cytometry is the quick turn-around time (i.e., generally within hours), and thus can be used to monitor
               T  cells before and after novel treatments. An alternative tool to monitor T  cells is mass cytometry [72,73] .
                reg
                                                                                reg
               Mass cytometry has a reduced risk of signal spill-over, thus improving background noise, and is a highly
               dimensional method to assess several complex markers simultaneously. The disadvantage of mass
               cytometry lies in the longer turn-around time, destruction of the specimen at the end of the examination,
               and the subsequent bioinformatic analyses of high-volume data . The power of mass cytometry to measure
                                                                    [74]
               small  subsets  of  immune  cells  in  blood  is  exemplified  in  an  ongoing  clinical  study  with  the
               phosphoinositide-3-kinase delta (PI3K-δ) inhibitor roginolisib (IOA-244). In this study, mass cytometry
               detected a reduction in blood T  cells across dose cohorts, which was only marginally detected with
                                            reg
                         [75]
               standard FC .
               In tumor specimens, standard immunohistochemistry has also provided early insights into changes in
               T  cells before and after treatment with standard or novel therapies [76-78] . Multiplex immunohistochemistry
                reg
               using a wide range of fluorochromes has increased the ability to simultaneously assess T  cells and their
                                                                                            reg
               interaction with adjacent cells, such as CD8  T cells . Like standard immunohistochemistry, multiplex
                                                            [79]
                                                      +
               studies retain the anatomical features of the specimen and the spatial relationship of cells and stroma, for
               example, the interaction of T  cells with APC, CD8  T cells, or tumor cells .
                                                           +
                                                                              [80]
                                       reg
               Transcriptomics provides another high-dimensional approach to assess T  cells along with other changes
                                                                              reg
               in the tumor or blood . Gene expression profiles can describe the T  cells along with other immune cells
                                  [81]
                                                                          reg
                                      [82]
               using whole tissue extracts . Under such conditions, the anatomical structure is lost for the benefit of
               detecting low signal events. A modification of this technique is single-cell transcriptomics approaches,
               which have revealed new functions of T  cells . Using this technology, the destruction of the tumor
                                                         [83]
                                                   reg
               specimen is kept to a minimum while the detection of cellular events is increased. The disadvantage of this
               technology primarily lies in the processing and evaluation of high-volume data, which leads to long turn-
               around times.
               Like Transcriptomics, Proteomics is a collection of high-dimensional data of proteins either within tumor
               tissue or proteins shed from tumors to the blood [84,85] . Thus, a wide range of secreted proteins can be
               evaluated, including chemokines (e.g., CCL22) or cytokines (e.g., IL-2, TGF-β) associated with T  cells .
                                                                                                       [86]
                                                                                                 reg
               For drug development, Proteomics offers a broad discovery tool to study the effect of novel agents. From
               this discovery platform, specific diagnostic tools can also be developed, such as companion diagnostics or
               laboratory developed tests.
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