Targeting P-glycoprotein for effective oral anti-cancer chemotherapeutics.

Oral anticancer drug treatment represents a significant change to current oncology practice. Support for oral anticancer treatment is driven by issues of pharmacoeconomics, accommodating the need for protracted drug administration for many emerging cytostatic therapies, response to patient preference and in improving patient quality of life. Much focus has concentrated on defining the cellular mechanisms underlying the pharmacokinetic limitations associated with the oral route of administration. However, the potential effects of oral anticancer drugs on gut associated host mediated immunity have been overlooked. Given that the immune system is central for tumour rejection, an assessment of the potential effects oral anticancer drugs may have at this level, and the impact of this on the treatment of gastrointestinal malignancy is of significant clinical importance. P-glycoprotein is a multidrug transporter that contributes to the reduced bioavailability of many orally administered medications. P-glycoprotein achieves this by virtue of its drug efflux capacity at the level of the gut epithelia. P-glycoprotein is also notorious for contributing to the multidrug resistance phenotype observed in many drug refractory human cancers. Likewise, this drug transporter serves a role in the cells of the immune system; particularly in dendritic cell maturation and function. This multifaceted involvement in drug disposition, cancer drug resistance and regulation of the immune response makes P-glycoprotein an attractive target for the optimization of oral anticancer drug treatment strategies. This review introduces and discusses for the first time the potential impact that oral anticancer drugs may have on P-glycoprotein expression and function and the potential consequences of this on dendritic cell function in relation to human cancer. This review also aims to foster a better understanding of the host mediated immunological mechanisms which may be potentially manipulated in cancer patients undergoing oral chemotherapy.

Molecular and cellular regulators of cancer angiogenesis.

Current cancer chemotherapeutic drugs have limited efficacy due to the fact that tumour cells are a rapidly changing target characterised by genomic instability. Unlike tumour cells, activated endothelial cells (ECs) required for angiogenesis, a process indisputably crucial to tumour growth and metastasis, were originally considered to be ideal therapeutic targets free of drug resistance. Additionally, unlike preclinical studies in mice using inhibitors targeting the powerful EC mitogen--vascular endothelial growth factor (VEGF)--overall survival benefit with anti-VEGF therapy used as monotherapy has yet to be demonstrated in phase III clinical trials. In contrast, VEGF-specific antibodies combined with current chemotherapy have resulted in improved outcomes in certain previously untreated cancers. This has led some researchers to hypothesize that combined treatments targeting other angiogenic molecules besides VEGF, and/or targeting not only ECs but other angiogenic non-EC types, may offer alternative but effective therapeutic options for eradicating malignant tumours. A rational approach to effective anti-angiogenic combination therapy will, however, require further understanding of the molecular and cellular mechanisms which undergird tumour vascularisation. Recent studies involving judicious use of powerful new genetic approaches have provided unprecedented insights into how different molecular and cellular mechanisms cooperate to build, branch and mature the growing vessel network so pivotal to tumour growth and survival. This review covers our current understanding of how the various key players--the tumour cells, stromal cells, endothelial cells and pericytes, and bone-marrow-derived haematopoietic and putative endothelial progenitors interact via their cell-derived pro- or anti-angiogenic factors to regulate tumour angiogenesis.

CMRF44+ dendritic cells from peripheral blood stem cell harvests of patients with myeloma as potential cellular vectors for idiotype vaccination.

The optimal conditions required to harvest dendritic cells (DC) for immunotherapy were investigated in a series of preliminary investigations using peripheral blood stem cell (PBSC) harvests and blood from patients with myeloma. There was no difference in the number of DC (CMRF44+, CD19-, CD14-) in PBSC mobilized with G-CSF (mean 0.28%, n = 7) compared with GM-CSF (mean 0.24%, n = 6) and apheresis itself did not concentrate DC. In longitudinal studies (n = 10), the peak DC count (day 12 post PBSC harvest) did not correlate with the peak CD34+ cell count or white cell count. A simple affinity purification of DC resulted in a mean 63-fold purification. Affinity enriched suspensions from normal blood contained more DC (mean = 18.8%; n = 5) than those from patients with myeloma (mean = 9.9%; n = 13). The percentage of DC with a lymphoid phenotype (CD11c-, CDw123hi+) was significantly higher in G-CSF mobilized PBSC harvests (22.7%; n = 6) than in peripheral blood samples from patients with myeloma (7.0%; n = 13; p = 0.01). DC endocytosis was normal and did not change throughout the course of the disease. Neither DC numbers nor subsets changed significantly between days 1 and 3 of culture. Current mobilization procedures, optimized for PBSC, need to be altered when harvesting DC.

Dendritic cells from patients with myeloma are numerically normal but functionally defective as they fail to up-regulate CD80 (B7-1) expression after huCD40LT stimulation because of inhibition by transforming growth factor-beta1 and interleukin-10.

Limited response to idiotype vaccination in patients with myeloma suggests that there is a need to develop better immunotherapy strategies. It has been determined that the number of high-potency CMRF44+CD14-CD19- dendritic cells (DCs) in the blood of patients with myeloma (range, 0.03%-0.8% of mononuclear cells [MNCs]; n = 26) was not significantly different from that in controls (range, 0.05%-0.8% of MNCs; n = 13). Expression of the costimulatory molecules CD80 and CD86 on DCs from these patients (mean, 29%+/-17% of MNCs and 85%+/-10% of MNCs, respectively) was also normal (mean, 29%+/-17% and 86%+/-16% of MNCs, respectively). Up-regulation of CD80 expression in response to stimulation by human huCD40LT + interleukin (IL)-2 was significantly reduced on the DCs of patients with myeloma during stable disease (n = 9) and was absent during progressive stages (n = 7) of disease. Similar effects were seen on B cells but not on monocytes of the same group of patients. CD86 expression on DCs was high before (86%) and after (89%) stimulation. Inhibition of CD80 up-regulation was neutralized by either anti-transforming growth factor (TGF)-beta1 or anti-IL-10. Up-regulation of CD80 on DCs of controls was inhibited by rTGF-beta1 in a dose-dependent manner. Serum TGF-beta1 and IL-10 levels were normal in most patients studied. Cytoplasmic TGF-beta1 was increased in plasma cells during progressive disease. Thus patients with myeloma have normal numbers of DCs, but CD80 expression may fail to be up-regulated in the presence of huCD40LT because of tumor-derived TGF-beta1 or IL-10. Autologous high-potency DCs may have to be tested for CD80 up-regulation and biologically modified ex vivo before idiotype priming for immunotherapy.

Clonal cytotoxic T cells are expanded in myeloma and reside in the CD8(+)CD57(+)CD28(-) compartment.

The occurrence of clonal T cells in multiple myeloma (MM), as defined by the presence of rearrangements in the T-cell receptor (TCR)-beta chains detected on Southern blotting, is associated with an improved prognosis. Recently, with the use of specific anti-TCR-variable-beta (anti-TCRV(beta)) antibodies, the presence in MM patients of expanded populations of T cells expressing particular V(beta) regions was reported. The majority of these T-cell expansions have the phenotype of cytotoxic T cells (CD8(+)CD57(+) and perforin positive). Since V(beta) expansions can result from either a true clonal population or a polyclonal response, the clonality of CD8(+)TCRV(beta)(+) T cells was tested by TCRV(beta) complementarity-determining region 3 length analysis and DNA sequencing of the variable region of the TCR. In this report, the CD57(+) and CD57(-) subpopulations within expanded TCRV(beta)(+)CD8(+) cell populations are compared, and it is demonstrated that the CD57(+) subpopulations are generally monoclonal or biclonal, whereas the corresponding CD57(-) cells are frequently polyclonal. The oligoclonality of CD57(+) expanded CD8(+) T cells but not their CD57(-) counterparts was also observed in age-matched controls, in which the T-cell expansions were mainly CD8(-). The CD8(+)CD57(+) clonal T cells had a low rate of turnover and expressed relatively lower levels of the apoptotic marker CD95 than their CD57(-) counterparts. Taken together, these findings demonstrate that MM is associated with CD57(+)CD8(+) T-cell clones, raising the possibility that the expansion and accumulation of activated clonal CD8(+) T cells in MM may be the result of persistent stimulation by tumor-associated antigens, combined with a reduced cellular death rate secondary to reduced expression of the apoptosis-related molecule CD95.

Intrinsic constraint on plasmablast growth and extrinsic limits of plasma cell survival.

B cells recruited into splenic antibody responses grow exponentially, either in extrafollicular foci as plasmablasts, or in follicles where they form germinal centers. Both responses yield plasma cells. Although many splenic plasma cells survive <3 d, some live much longer. This study shows that early plasma cell death relates to a finite capacity of the spleen to sustain plasma cells rather than a life span endowed by the cell's origin or the quality of antibody it produces. Antibody responses were compared where the peak numbers of plasma cells in spleen sections varied between 100 and 5,000 cells/mm(2). In each response, plasmablast clones divided some five times, with the peak numbers of plasma cells produced relating directly to the number of B cells recruited into the response. The spleen seems to have the capacity to sustain between 20 and 100 plasma cells/mm(2). When this number is exceeded, there is a loss of excess cells. Immunoglobulin variable region gene sequencing, and 5-bromo-2'-deoxyuridine pulse-chase studies indicate that long-lived splenic plasma cells are a mixture of cells derived from the extrafollicular and germinal center responses and cells derived from virgin and memory B cells. Only a proportion has switched immunoglobulin class.

T-independent type 2 antigens induce B cell proliferation in multiple splenic sites, but exponential growth is confined to extrafollicular foci.

During the primary splenic response to the T-independent type 2 (TI-2) antigen (4-hydroxy-3-nitrophenyl) acetyl (NP)-Ficoll, small numbers of antigen-specific B cells have entered S phase of the cell cycle 24 h after intraperitoneal immunization. These are distributed in all splenic compartments (T zones, marginal zones, follicles, and red pulp), indicating early proliferation induced by NP-Ficoll does not require accessory signals delivered in a particular splenic microenvironment. Subsequently B blasts accumulate selectively in the outer T zone areas, but exponential growth leading to plasma cell production occurs only in extrafollicular foci. This growth peaks after 5 days, but 20% of peak numbers of antibody-containing cells are still present 3 months after immunization and 9% of these cells are proliferating. It is unclear if these late plasmablasts are sustained by self-renewal or continued recruitment of virgin cells into the response. Unlike TD and TI-1 responses NP-specific memory cells do not accumulate in the splenic marginal zones. The level of Cgamma3 switch transcripts increases during the first 24 h of the response, but does not increase further during exponential plasmablast growth.

T helper 1 (Th1) and Th2 characteristics start to develop during T cell priming and are associated with an immediate ability to induce immunoglobulin class switching.

The respective production of specific immunoglobulin (Ig)G2a or IgG1 within 5 d of primary immunization with Swiss type mouse mammary tumor virus [MMTV(SW)] or haptenated protein provides a model for the development of T helper 1 (Th1) and Th2 responses. The antibody-producing cells arise from cognate T cell B cell interaction, revealed by the respective induction of Cgamma2a and Cgamma1 switch transcript production, on the third day after immunization. T cell proliferation and upregulation of mRNA for interferon gamma in response to MMTV(SW) and interleukin 4 in response to haptenated protein also starts during this day. It follows that there is minimal delay in these responses between T cell priming and the onset of cognate interaction between T and B cells leading to class switching and exponential growth. The Th1 or Th2 profile is at least partially established at the time of the first cognate T cell interaction with B cells in the T zone. The addition of killed Bordetella pertussis to the hapten-protein induces nonhapten-specific IgG2a and IgG1 plasma cells, whereas the anti-hapten response continues to be IgG1 dominated. This indicates that a Th2 response to hapten-protein can proceed in a node where there is substantial Th1 activity.

The changing preference of T and B cells for partners as T-dependent antibody responses develop.

Recirculating virgin CD4+ T cells spend their life migrating between the T zones of secondary lymphoid tissues where they screen the surface of interdigitating dendritic cells. T-cell priming starts when processed peptides or superantigen associated with class II MHC molecules are recognised. Those primed T cells that remain within the lymphoid tissue move to the outer T zone, where they interact with B cells that have taken up and processed antigen. Cognate interaction between these cells initiates immunoglobulin (Ig) class switch-recombination and proliferation of both B and T cells; much of this growth occurs outside the T zones B cells migrate to follicles, where they form germinal centres, and to extrafollicular sites of B-cell growth, where they differentiate into mainly short-lived plasma cells. T cells do not move to the extrafollicular foci, but to the follicles; there they proliferate and are subsequently involved in the selection of B cells that have mutated their Ig variable-region genes. During primary antibody responses T-cell proliferation in follicles produces many times the peak number of T cells found in that site: a substantial proportion of the CD4+ memory T-cell pool may originate from growth in follicles.

Immunoglobulin switch transcript production in vivo related to the site and time of antigen-specific B cell activation.

Immunoglobulin (Ig) class switch recombination is associated with the production and splicing of germline IgCH messenger RNA transcripts. Levels of gamma 1 transcripts in mouse spleen sections were assessed by semiquantitative analysis of reverse transcriptase polymerase chain reaction (PCR) products during primary and secondary antibody responses to chicken gamma globulin (CGG). This was correlated with the appearance of CGG-specific B cells and their growth and differentiation to plasma cells. After primary immunization with CGG, gamma 1 switch transcripts appeared after 4 d, peaked at a median of six times starting levels between 10 and 18 d after immunization, and returned to background levels before secondary immunization at 5 wk. By contrast, after secondary challenge with CGG, a sevenfold increase in transcripts occurs during the first d. The level again doubles by day 3, when it is six times that which is seen at the peak of the primary response. After day 4, there was a gradual decline over the next 2-3 wk. Within 12 h of secondary immunization, antigen-specific memory B cells appeared in the outer I zone and by 24 h entered S phase, presumably as a result of cognate interaction with primed T cells. Over the next few hours, they migrated to the edge of the red pulp, where they grew exponentially until the fourth day, when they synchronously differentiated to become plasma cells. The same pattern was seen for the migration, growth, and differentiation of virgin hapten-specific B cells when CGG-primed mice were challenged with hapten protein. The continued production of transcripts after day 3 indicates that switching also occurs in germinal centers, but in a relatively small proportion of their B cells. The impressive early production of switch transcripts during T cell-dependent antibody responses occurs in cells that are about to undergo massive clonal expansion. It is argued that Ig class switching at this time, which is associated with cognate T cell-B cell interaction in the T zone, has a major impact on the class and subclasses of Ig produced during the response.