PO-55 - Individual variation in hemostatic alterations caused by tyrosine kinase inhibitors - a way to improve personalized cancer therapy?

INTRODUCTION: During the last two decades, Bcr-Abl tyrosine kinase inhibitors (TKIs) have revolutionized the treatment of chronic myelogenous leukemia (CML), and are now considered standard treatment for this disease. However, TKIs can induce serious hemostatic side effects including cardiovascular disease and bleeding disorders. Blood platelet aggregation and formation of pro-coagulant platelets are important to allow a well-balanced hemostatic response. Therefore, a detailed understanding of what effect different TKIs exert on platelets and hemostasis could help to understand if there are differences of importance to minimize the risk of bleeding complications in treated patients. AIM: To investigate how TKIs used in CML (imatinib, dasatinib, nilotinib, bosutinib, and ponatinib) affect platelet activation and hemostasis. MATERIALS AND METHODS: We have developed a multi-parameter six color flow cytometry protocol to study different aspects of platelet function upon activation, e.g. formation of aggregatory (PAC-1-positive) and pro-coagulant (phosphatidylserine-exposing) platelets, exocytosis of alpha- and lysosomal granules and mitochondrial membrane potential.This protocol was performed in presence or absence of TKIs in blood from normal donors and in treated patients. Whole blood aggregometry (Multiplate®), thrombin generation in platelet-rich plasma and in vitro thrombus formation by free oscillation rheometry (ReoRox G2) was further evaluated in some situations. RESULTS: At clinically relevant concentrations, dasatinib significantly decreased the formation of procoagulant platelets. Ponatinib induced a slight decrease in formation of procoagulant platelets, whereas bosutinib and nilotinib showed opposite tendencies (n=7). Dasatinib also decreased platelet aggregation (n=4-6) and in vitro thrombus formation (n=3). Thrombin generation was not significantly affected by therapeutic levels of TKIs, whereas higher doses of dasatinib, bosutinib, ponatinib and imatinib significantly changed one or several of the thrombin generation parameters (n=7-8). Interestingly, large differences in response to the drugs were observed among the healthy donors, especially for dasatinib and bosutinib. Major inter-individual variations were also observed in dasatinib-treated patients, see Figure 1. CONCLUSIONS: Different TKIs show varying potency to affect platelet-based hemostasis. In addition, we found large inter-individual variations in how some drugs affected platelet function. Therefore, we suggest that development of a clinically useful protocol for platelet function testing could help to identify patients more susceptible to adverse drug reactions. Such a protocol could potentially help clinicians to gain insight into the risk of side effects, which could help to choose the most suitable drug for each individual patient.

Responsiveness of platelets during storage studied with flow cytometry--formation of platelet subpopulations and LAMP-1 as new markers for the platelet storage lesion.

BACKGROUND AND OBJECTIVES: Storage lesions may prevent transfused platelets to respond to agonists and arrest bleeding. The aim of this study was to evaluate and quantify the capacity of platelet activation during storage using flow cytometry and new markers of platelet activation. MATERIALS AND METHODS: Activation responses of platelets prepared by apheresis were measured on days 1, 5, 7 and 12. In addition, comparisons were made for platelet concentrates stored until swirling was affected. Lysosome-associated membrane protein-1 (LAMP-1), P-selectin and phosphatidylserine (PS) exposure were assessed by flow cytometry on platelets in different subpopulations in resting state or following stimulation with platelet agonists (cross-linked collagen-related peptide (CRP-XL), PAR1- and PAR4-activating peptides). RESULTS: The ability to form subpopulations upon activation was significantly decreased already at day 5 for some agonist combinations. The agonist-induced exposure of PS and LAMP-1 also gradually decreased with time. Spontaneous exposure of P-selectin and PS increased with time, while spontaneous LAMP-1 exposure was unchanged. In addition, agonist-induced LAMP-1 expression clearly discriminated platelet concentrates with reduced swirling from those with retained swirling. This suggests that LAMP-1 could be a good marker to capture changes in activation capacity in stored platelets. CONCLUSION: The platelet activation potential seen as LAMP-1 exposure and fragmentation into platelet subpopulations is potential sensitive markers for the platelet storage lesion.

Thrombin-induced platelet activation via PAR4: pivotal role for exosite II.

Thrombin-induced platelet activation via PAR1 and PAR4 is an important event in haemostasis. Although the underlying mechanisms responsible for ensuring efficient PAR1 activation by thrombin have been extensively studied, the potential involvement of recognitions sites outside the active site of the protease in thrombin-induced PAR4 activation is largely unknown. In this study, we developed a new assay to assess the importance of exosite I and II for PAR4 activation with α - and γ-thrombin. Surprisingly, we found that exosite II is critical for activation of PAR4. We also show that this dependency on exosite II likely represents a new mechanism, as it is unaffected by blockage of the previously known interaction between thrombin and glycoprotein Ibα.

Contact activation: important to consider when measuring the contribution of tissue factor-bearing microparticles to thrombin generation using phospholipid-containing reagents.

BACKGROUND: A commercial MP reagent containing phospholipids is used for thrombin generation (TG) measurements to estimate the procoagulant activity of microparticles (MPs). Previous reports have shown that contact activation affects TG when TF levels are low, and that addition of phospholipids might augment this effect. OBJECTIVES: To quantify the impact of contact activation on TG in the presence of phospholipids and low/no TF, as is the case using a commercially available MP-reagent. METHODS: Thrombin generation was analyzed using MP- or platelet-rich plasma (PRP)-reagent in the presence and absence of corn trypsin inhibitor and anti-TF antibodies, respectively. To quantify the impact of different experimental parameters on contact activation, microparticle-depleted plasma was analyzed in the presence of different concentrations of phospholipids, TF and/or contact activating agents (kaolin). RESULTS: Even with low contact activating blood collection tubes, substantial thrombin generation was observed with the MP-reagent, but this was completely inhibited by addition of corn trypsin inhibitor. Control experiments illustrate that the phospholipids in the reagent play a major role in enhancing TG initiated by FXIIa. Even with the PRP-reagent, which is recommended for determining the content of phospholipids from MPs, TG was partly dependent on contact activation. CONCLUSIONS: Contact activation plays a major role in TG when using reagents/samples containing phospholipids but little or no tissue factor. This needs to be considered and accounted for in future clinical studies using TG to assess the procoagulant activity of MPs.

Single-step separation of platelets from whole blood coupled with digital quantification by interfacial platelet cytometry (iPC).

We report the efficient single-step separation of individual platelets from unprocessed whole blood, enabling digital quantification of platelet function using interfacial platelet cytometry (iPC) on a chip. iPC is accomplished by the precision micropatterning of platelet-specific protein surfaces on solid substrates. By separating platelets from whole blood using specific binding to protein spots of a defined size, iPC implements a simple incubate-and-rinse approach, without sample preparation, that enables (1) the study of platelets in the physiological situation of interaction with a protein surface, (2) the choice of the number of platelets bound on each protein spot, from one to many, (3) control of the platelet-platelet distance, including the possibility to study noninteracting single platelets, (4) digital quantification (counting) of platelet adhesion to selected protein matrices, enabling statistical characterization of platelet subpopulations from meaningfully large numbers of single platelets, (5) the study of platelet receptor expression and spatial distribution, and (6) a detailed study of the morphology of isolated single platelets at activation levels that can be manipulated. To date, we have demonstrated 1-4 of the above list. Platelets were separated from whole blood using iPC with fibrinogen, von Willebrand factor (VWF), and anti-CD42b antibody printed "spots" ranging from a fraction of one to several platelet diameters (2-24 µm). The number of platelets captured per spot depends strongly on the protein matrix and the surface area of the spot, together with the platelet volume, morphology, and activation state. Blood samples from healthy donors, a May-Hegglin-anomaly patient, and a Glanzmann's Thrombasthenia patient were analyzed via iPC to confirm the specificity of the interaction between protein matrices and platelets. For example, the results indicate that platelets interact with fibrinogen spots only through the fibrinogen receptor (αIIbß3) and, relevant to diagnostic applications, platelet adhesion correlates strongly with normal versus abnormal platelet function. A critical function of platelets is to adhere to regions of damage on blood vessel walls; in contrast to conventional flow cytometry, where platelets are suspended in solution, iPC enables physiologically relevant platelet bioassays based on platelet/protein-matrix interactions on surfaces. This technology should be inexpensive to implement in clinical assay format, is readily integrable into fluidic microdevices, and paves the way for high-throughput platelet assays from microliter volumes of whole blood.

Identification of low-density platelet populations with increased reactivity and elevated alpha-granule content.

The present study examines biochemical and functional characteristics of platelet density subpopulations together with their ability to mobilise intracellular fibrinogen when activated. Platelets from three healthy volunteers were investigated. The total platelet population was separated according to density in a linear Percoll gradient in a plasma-free milieu containing EDTA that binds soluble Ca(2+). Subsequently, platelets from each individual were divided according to density into 11 or 12 aliquots. In all fractions, we determined platelet count, intracellular P-selectin and the ADP-evoked platelet fibrinogen binding as a measure of platelet reactivity together with the platelet dense body content. The work demonstrates that platelets use stored intracellular fibrinogen when activated. It also shows that the platelet-fibrinogen binding can be initiated in a surrounding depleted of Ca(2+) and fibrinogen. Moreover, the study demonstrates subpopulations of light platelets having increased reactivity and more alpha-granules but less dense bodies. The biological significance of the findings needs to be elucidated.

Clotting time by free oscillation rheometry and visual inspection and a viscoelastic description of the clotting phenomenon.

An automated procedure for determination of clotting time in whole blood was validated by direct comparison with the reference method, visual clotting time determination. The procedure was based on a 10 Hz free oscillation rheometer (FOR) of our design, the ReoRox 4. Recalcified citrated blood samples (n = 30), clotting in the range 4 to 20 min, were used in the validation. Every 30 s of the analysis, as the change in stiffness (deltaG*) of the sample was monitored by FOR, the sample cup was shortly removed from the FOR and its contents inspected for first signs of clotting, i.e. visual clotting time determination. Various FOR clotting criteria were attempted. Best correlation to visual clotting time was found when deltaG* reached 0.01 Pa, which yielded linear regression slope, intercept and r2 of 0.98, 0.09 min and 0.98, respectively. For comparison, six plasma samples were analyzed in the same way and gave almost the same results. The accuracy of the FOR determinations was checked by also analyzing, in parallel, portions of the sample with a conventional oscillation rheometer, a Bohlin VOR. The rationale is given for preferring deltaG* over G* as a FOR monitoring function in coagulation tests and for including median filtration of the primary FOR data. An extension of the FOR theory to include deltaG* and evidence in support of inhomogeneous blood clotting are also given.