DUAL ENERGY COMPUTED TOMOGRAPHY FOR PROTON THERAPY TREATMENT PLANNING

Proton radiation therapy is gaining popularity because of the unique characteristics of its dose distribution, e.g., high dose-gradient at the distal end of the percentage-depth-dose curve (known as the Bragg peak). The high dose-gradient offers the possibility of delivering high dose to the target while still sparing critical organs distal to the target. However, the high dose-gradient is a double-edged sword: a small shift of the highly conformal high-dose area can cause the target to be substantially under-dosed or the critical organs to be substantially over-dosed. Because of that, large margins are required in treatment planning to ensure adequate dose coverage of the target, which prevents us from realizing the full potential of proton beams. Therefore, it is critical to reduce uncertainties in the proton radiation therapy. One major uncertainty in a proton treatment is the range uncertainty related to the estimation of proton stopping power ratio (SPR) distribution inside a patient. The SPR distribution inside a patient is required to account for tissue heterogeneities when calculating dose distribution inside the patient. In current clinical practice, the SPR distribution inside a patient is estimated from the patient’s treatment planning computed tomography (CT) images based on the CT number-to-SPR calibration curve. The SPR derived from a single CT number carries large uncertainties in the presence of human tissue composition variations, which is the major drawback of the current SPR estimation method. We propose to solve this problem by using dual energy CT (DECT) and hypothesize that the range uncertainty can be reduced by a factor of two from currently used value of 3.5%. A MATLAB program was developed to calculate the electron density ratio (EDR) and effective atomic number (EAN) from two CT measurements of the same object. An empirical relationship was discovered between mean excitation energies and EANs existing in human body tissues. With the MATLAB program and the empirical relationship, a DECT-based method was successfully developed to derive SPRs for human body tissues (the DECT method). The DECT method is more robust against the uncertainties in human tissues compositions than the current single-CT-based method, because the DECT method incorporated both density and elemental composition information in the SPR estimation. Furthermore, we studied practical limitations of the DECT method. We found that the accuracy of the DECT method using conventional kV-kV x-ray pair is susceptible to CT number variations, which compromises the theoretical advantage of the DECT method. Our solution to this problem is to use a different x-ray pair for the DECT. The accuracy of the DECT method using different combinations of x-ray energies, i.e., the kV-kV, kV-MV and MV-MV pair, was compared using the measured imaging uncertainties for each case. The kV-MV DECT was found to be the most robust against CT number variations. In addition, we studied how uncertainties propagate through the DECT calculation, and found general principles of selecting x-ray pairs for the DECT method to minimize its sensitivity to CT number variations. The uncertainties in SPRs estimated using the kV-MV DECT were analyzed further and compared to those using the stoichiometric method. The uncertainties in SPR estimation can be divided into five categories according to their origins: the inherent uncertainty, the DECT modeling uncertainty, the CT imaging uncertainty, the uncertainty in the mean excitation energy, and SPR variation with proton energy. Additionally, human body tissues were divided into three tissue groups – low density (lung) tissues, soft tissues and bone tissues. The uncertainties were estimated separately because their uncertainties were different under each condition. An estimate of the composite range uncertainty (2s) was determined for three tumor sites – prostate, lung, and head-and-neck, by combining the uncertainty estimates of all three tissue groups, weighted by their proportions along typical beam path for each treatment site. In conclusion, the DECT method holds theoretical advantages in estimating SPRs for human tissues over the current single-CT-based method. Using existing imaging techniques, the kV-MV DECT approach was capable of reducing the range uncertainty from the currently used value of 3.5% to 1.9%-2.3%, but it is short to reach our original goal of reducing the range uncertainty by a factor of two. The dominant source of uncertainties in the kV-MV DECT was the uncertainties in CT imaging, especially in MV CT imaging. Further reduction in beam hardening effect, the impact of scatter, out-of-field object etc. would reduce the Hounsfeld Unit variations in CT imaging. The kV-MV DECT still has the potential to reduce the range uncertainty further.

Targeted Multistage Delivery of Nanoparticles to the Bone Marrow

Bone marrow is a target organ site involved in multiple diseases including myeloproliferative disorders and hematologic malignancies and metastases from breast and prostate. Most of these diseases are characterized with poor quality of life, and the treatment options are only palliative due to lack of delivery mechanisms for systemically injected drugs which results in dose limitation to protect the healthy hematopoietic cells. Therefore, there is a critical need to develop effective therapeutic strategies that allow for selective delivery of therapeutic payload to the bone marrow. Nanotechnology-based drug delivery systems provide the opportunity to deliver drugs to the target tissue while decreasing exposure to normal tissues. E-selectin is constitutively expressed on the bone marrow vasculature, but almost absent in normal vessels, and therefore, E-selectin targeted drug delivery presents an ideal strategy for the delivery of therapeutic nanoparticles to the bone marrow. The objective of this study was to develop a novel bone marrow targeted multistage vector (MSV) via E-selectin for delivery of therapeutics and imaging agents. To achieve this goal, Firstly, an E-selectin thioaptamer (ESTA) ligand was identified through a two-step screening from a combinatorial thioaptamer library. Next, ESTA-conjugated MSV (ESTA-MSV) were developed and evaluated for their stability and binding to E-selectin expressing endothelial cells. Different types of nanoparticles including liposomes, quantum dots, and iron oxide nanoparticles were loaded into the porous structure of ESTA-MSV. In vivo targeting experiments demonstrated 8-fold higher accumulation of ESTA-MSV in the mouse bone marrow as compared to non-targeted MSV Furthermore, intravenous injection of liposomes loaded ESTA-MSV resulted in a significantly higher accumulation of liposome in the bone marrow space as compared to injection of non-targeted MSV or liposomes alone. Overall this study provides first evidence that E-selectin targeted multistage vector preferentially targets to bone marrow vasculature and delivers larger amounts of nanoparticles. This delivery strategy holds potential for the selective delivery of large amounts of therapeutic payload to the vascular niches in the bone marrow for the treatment of bone marrow associated diseases.

Tumor immunization strategies for enhancing the graft versus tumor activity of allogeneic bone marrow transplantation

Allogeneic bone marrow transplantation (BMT) is known to induce a beneficial anti-tumor immune response called graft-versus-tumor (GVT) activity. However, GVT activity is closely associated with graft-versus-host disease (GVHD), a potentially fatal immune response against antigens on normal recipient tissues. The T-cell populations mediating these two processes are often overlapping, but studies have shown that some donor T-cells can be tumor-specific. Therefore, the goal of this study was to develop strategies for preferentially activating donor T-cells capable of mediating GVT activity but not GVHD. The three hypotheses tested were: (1) Pre-transplant immunization of BMT donors with a recipient-derived tumor cell vaccine will induce a relative increase in GVT activity as compared to GVHD. (2) Post-transplant tumor immunization of BMT recipients will enhance GVT activity without exacerbating GVHD. (3) Pre-transplant immunization of BMT donors against a tumor-specific antigen will enhance GVT activity without exacerbating GVHD. ^ To test the first two hypotheses, C3H.SW mice (MHC-matched donors) were immunized with a C57BL/6 (recipient)-derived tumor cell vaccine (leukemia or fibrosarcoma) prior to BMT, or recipients were immunized starting one month after BMT. Both donor and recipient immunization led to a significant increase in GVT activity (enhanced recipient survival and decreased tumor growth). However, donor immunization also increased fatal GVHD, which was at least partially due to activation of alloreactive T-cells recognizing the immunodominant minor histocompatibility antigen B6dom1. GVT immunity following recipient immunization was not associated with an exacerbation of GVHD or a response to B6dom1. ^ To test the third hypothesis, influenza nucleoprotein (NP) was used as a model tumor antigen. C3H.SW donors were immunized against NP prior to BMT, which led to a significant increase in GVT activity. Although recipients were not completely protected against growth of antigen loss variant tumors, there was no increase in GVHD. ^ In conclusion, (1) immunization of allogeneic BMT donors with a recipient-derived tumor cell vaccine substantially increases GVT activity but also exacerbates GVHD, (2) post-transplant tumor immunization of allogeneic BMT recipients significantly increases GVT activity and survival without exacerbating GVHD, and (3) immunization of allogeneic BMT donors against a tumor-specific antigen significantly enhances GVT activity without exacerbating GVHD. ^

IDENTIFICATION AND CHARACTERIZATION OF DISTINCT POPULATIONS OF CLONOGENIC BONE MARROW STROMAL CELLS CAPABLE OF TRANSFERRING THE HEMATOPOIETIC MICROENVIRONMENT IN VIVO AND SUPPORTING LT-HSCs IN VITRO

Bone marrow (BM) stromal cells are ascribed two key functions, 1) stem cells for non-hematopoietic tissues (MSC) and 2) as components of the hematopoietic stem cell niche. Current approaches studying the stromal cell system in the mouse are complicated by the low yield of clonogenic progenitors (CFU-F). Given the perivascular location of MSC in BM, we developed an alternative methodology to isolate MSC from mBM. An intact ‘plug’ of bone marrow is expelled from bones and enzymatically disaggregated to yield a single cell suspension. The recovery of CFU-F (1917.95+199) reproducibly exceeds that obtained using the standard BM flushing technique (14.32+1.9) by at least 2 orders of magnitude (P<0.001; N = 8) with an accompanying 196-fold enrichment of CFU-F frequency. Purified BM stromal and vascular endothelial cell populations are readily obtained by FACS. A detailed immunophenotypic analysis of lineage depleted BM identified PDGFRαβPOS stromal cell subpopulations distinguished by their expression of CD105. Both subpopulations retained their original phenotype of CD105 expression in culture and demonstrate MSC properties of multi-lineage differentiation and the ability to transfer the hematopoietic microenvironment in vivo. To determine the capacity of either subpopulation to support long-term multi-lineage reconstituting HSCs, we fractionated BM stromal cells into either the LinNEGPDGFRαβPOSCD105POS and LINNEGPDGFRαβPOSCD105LOW/- populations and tested their capacity to support LT-HSC by co-culturing each population with either 1 or 10 HSCs for 10 days. Following the 10 day co-culture period, both populations supported transplantable HSCs from 10 cells/well co-cultures demonstrating high levels of donor repopulation with an average of 65+23.6% chimerism from CD105POS co-cultures and 49.3+19.5% chimerism from the CD105NEG co-cultures. However, we observed a significant difference when mice were transplanted with the progeny of a single co-cultured HSC. In these experiments, CD105POS co-cultures (100%) demonstrated long-term multi- lineage reconstitution, while only 4 of 8 mice (50%) from CD105NEG -single HSC co-cultures demonstrated long-term reconstitution, suggesting a more limited expansion of functional stem cells. Taken together, these results demonstrate that the PDGFRαβCD105POS stromal cell subpopulation is distinguished by a unique capacity to support the expansion of long-term reconstituting HSCs in vitro.