Literature DB >> 31248974

A CXCR4-targeted nanocarrier achieves highly selective tumor uptake in diffuse large B-cell lymphoma mouse models.

Aïda Falgàs1,2, Victor Pallarès1,3, Ugutz Unzueta1,2, María Virtudes Céspedes1,2, Irene Arroyo-Solera1,2, María José Moreno1, Jorge Sierra3,4, Alberto Gallardo1,5, María Antonia Mangues6, Esther Vázquez7,8,9, Antonio Villaverde2,8,9, Ramon Mangues10,2,4, Isolda Casanova1,2,4.   

Abstract

One-third of diffuse large B-cell lymphoma patients are refractory to initial treatment or relapse after rituximab plus cyclophosphamide, doxorubicin, vincristine and prednisone chemotherapy. In these patients, CXCR4 overexpression (CXCR4+) associates with lower overall and disease-free survival. Nanomedicine pursues active targeting to selectively deliver antitumor agents to cancer cells; a novel approach that promises to revolutionize therapy by dramatically increasing drug concentration in target tumor cells. In this study, we intravenously administered a liganded protein nanocarrier (T22-GFP-H6) targeting CXCR4+ lymphoma cells in mouse models to assess its selectivity as a nanocarrier by measuring its tissue biodistribution in cancer and normal cells. No previous protein-based nanocarrier has been described as specifically targeting lymphoma cells. T22-GFP-H6 achieved a highly selective tumor uptake in a CXCR4+ lymphoma subcutaneous model, as detected by fluorescent emission. We demonstrated that tumor uptake was CXCR4-dependent because pretreatment with AMD3100, a CXCR4 antagonist, significantly reduced tumor uptake. Moreover, in contrast to CXCR4+ subcutaneous models, CXCR4- tumors did not accumulate the nanocarrier. Most importantly, after intravenous injection in a disseminated model, the nanocarrier accumulated and internalized in all clinically relevant organs affected by lymphoma cells with negligible distribution to unaffected tissues. Finally, we obtained antitumor effect without toxicity in a CXCR4+ lymphoma model by administration of T22-DITOX-H6, a nanoparticle incorporating a toxin with the same structure as the nanocarrier. Hence, the use of the T22-GFP-H6 nanocarrier could be a good strategy to load and deliver drugs or toxins to treat specifically CXCR4-mediated refractory or relapsed diffuse large B-cell lymphoma without systemic toxicity. Copyright
© 2020 Ferrata Storti Foundation.

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Year:  2019        PMID: 31248974      PMCID: PMC7049335          DOI: 10.3324/haematol.2018.211490

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


Introduction

Diffuse large B-cell lymphoma (DLBCL) represents 30-33% of all non-Hodgkin lymphomas (NHL).[1] Management of DLBCL has been improved by the addition of rituximab to CHOP (cyclophosphamide, doxorubicin, vincristine and prednisone) chemotherapy. However, despite this advancement, R-CHOP treatment is still associated with high toxicity, relapse and an unacceptably high treatment failure rate.[2] Relapse after R-CHOP therapy occurs in 40% of patients;[3,4] this is currently managed with salvage chemotherapy. This is followed by high-dose chemotherapy and autologous bone marrow transplant in patients with chemosensitive disease, which, however, leads to long-term disease control in only half of the patients.[5] Moreover, less than 20% of patients treated with an R-CHOP front-line regimen who relapse within one year benefit from salvage autologous hematopoietic cell transplant.[2,6] Thus, novel therapeutic strategies that reduce relapse rates and enhance DLBCL patient survival are urgently needed. Novel approaches based on selective-drug delivery to cancer cells promise to increase patient benefit by offering both higher cure rates and lower side effects in DLBCL patients. In this regard, we evaluated a previously developed protein nanocarrier as a possible drug carrier to pursue the selective elimination of DLBCL cells over-expressing CXCR4 (CXCR4+), which are responsible for DLBCL relapse and disease progression.[7-9] Thus, the CXCR4-CXCL12 axis is involved in tumor pathogenesis, cancer cell survival, stem cell phenotype, and resistance to chemotherapy.[10,11] In addition, CXCR4 is constitutively over-expressed in NHL cell lines,[12,13] and also in approximately 50% of malignant B-cell lymphocytes derived from DLBCL patients.[8] Interestingly, CXCR4+ DLBCL cell lines show resistance to rituximab but are sensitive to the combination of rituximab with a CXCR4 antagonist.[14,15] Most importantly, we and others reported that CXCR4 overexpression associates with poor progression-free and overall survival in DLBCL patients treated with R-CHOP.[7,8,14] Our group has developed T22-GFP-H6, a self-assembling protein nanocarrier, which uses the peptidic T22 ligand to target the CXCR4 receptor.[16] This carrier displays a high recirculation time in blood and selectively biodistributes to tumor tissues in solid tumor models, internalizing selectively in CXCR4+ cancer cells, while increasing its tumor uptake compared to the untargeted GFP-H6 counterpart.[17] This nanocarrier is also able to incorporate toxins (e.g. diphtheria toxin catalytic domain) leading to selective elimination of CXCR4+ colorectal cancer cells.[18,19] Nevertheless, no previous protein-based nanocarrier has been described to specifically target cancer cells in hematologic neoplasias. Critical differences between solid cancers and hematologic neoplasias may raise doubts about its use to target CXCR4+ cancer cells in DLBCL models. Thus, the enhanced permeability/retention (EPR) effect, due to abnormal fenestrated vessels and limited lymphatic drainage, allows nanocarrier accumulation in solid tumors. In contrast, DLBCL is a disseminated disease that displays freely circulating lymphoma cells in blood concomitantly with their confinement at specific tumor niches, such as lymph nodes (LN) and bone marrow (BM), in which the EPR effect is unlikely to be present.[20] Here, we studied whether active targeting of the T22-GFP-H6 nanocarrier leads to its selective uptake in CXCR4+ subcutaneous (SC) DLBCL tumors. We also assessed if this increased uptake associates with specific nanocarrier internalization in CXCR4+ lymphoma cells; issues still be to settled in nanomedicine.[21,22] Importantly, we used a disseminated CXCR4+ DLBCL model (which replicates the organ involvement observed in DLBCL patients[8]) to study nanocarrier accumulation in lym phoma-affected organs (LN and BM) and its capacity to internalize in CXCR4+ lymphoma cells within these organs. Moreover, we evaluated whether T22-DITOX-H6, a nanoparticle incorporating a diphtheria toxin domain that maintains the same structure as the nanocar-rier, can selectively eliminate CXCR4+ DLBCL cells in SC tumors. The study goal was to determine whether we could use the nanocarrier to selectively deliver drugs to target CXCR4+ DLBCL cells.

Methods

In vivo experiments

Four-week old female NOD/SCID mice were obtained from Charles River Laboratories. Mice were maintained in specific pathogen-free (SPF) conditions with sterile food and water ad libitum. Mouse experiments were approved by the Hospital de la Santa Creu i Sant Pau Animal Ethics Committee. For SC models, 10 million DLBCL cells were injected in both flanks. Tumor growth was monitored twice a week with a caliper (tumor volume=width2 x length/2). When tumors reached a volume of 600-800 mm3, mice received a single intravenous (IV) dose of 200 μg T22-GFP-H6, which contains a fluorescent domain, or buffer (20 mM Tris, 500mM NaCl, pH 8). T22-GFP-H6 design and production have been described in previous studies.[16] Fluorescence intensity (FLI) was measured ex vivo at different time points in tumors, plasma, and all organs. A plasma pool was obtained by centrifugation of total blood, obtained by intracardiac puncture (25G), at 600g for ten minutes (min) at 4ºC. T22-GFP-H6 biodistribution in SC tumors over time was measured using the area under the curve (AUC). AUC analysis of tumors and normal organs was measured using the GraphPad Prism 6 program. We subcutaneously administered AMD3100 in mice to perform CXCR4 blocking experiments, giving a total of three AMD3100 doses at 10 mg/kg, 1 hour (h) before and 1h and 2h after IV T22-GFP-H6 injection. We used SC tumor models to evaluate the antitumor effect and associated toxicity of T22-DITOX-H6. Mice received a single 25 μg IV dose of T22-DITOX-H6 or buffer when tumors reached a volume of 400-600 mm3. Animals were euthanized 24h post administration. T22-DITOX-H6 nanoparticle characterization has been published previously.[18] To generate the disseminated lymphoma model, NOD/SCID mice were intravenously injected with 20×106 luminescent Toledo cells (Toledo-Luci) in 200 μL physiological serum. Dissemination was monitored capturing bioluminescence intensity (BLI) twice a week after intraperitoneal injection of firefly D-luciferin. After 27-30 days, animals received a single IV dose of 400 μg T22-GFP-H6 nanocarrier or buffer. Five hours later, FLI was measured ex vivo in all organs. Fluorescence intensity correlates to the amount of accumulated protein in each tissue and is expressed as average radiant efficiency. FLI from experimental mice was calculated subtracting the FLI auto-fluorescence of control mice. The emitted FLI and BLI were measured using the IVIS Spectrum 200 Imaging System (Xenogen). Finally, tumors and all organs were collected, fixed and paraffined to perform histological, immunohistochemical or immunofluorescent evaluations, and were also directly cryopre-served in liquid nitrogen for protein extraction. Details of methods for cell culture, transfection with Luciferase and CXCR4 plasmids, cell proliferation, flow cytometry, western blot, histopathology, 4′,6-diamidino-2-phenylindole (DAPI) staining, immunohistochemistry (IHC) and immunofluorescence (IF) analyses can be found in the Online Supplementary Appendix.

Statistical analysis

In vitro experiments were performed in biological triplicates while in vivo experiments were performed in triplicates/quadruplicates. The data for all experiments were reported as mean ±Standard Error of Mean (SEM). All results were analyzed using the Student t-test. P<0.05 was considered statistically significant. Statistical calculations were performed using SPSS software version.[21]

Results

CXCR4-dependent internalization of T22-GFP-H6 in human CXCR4+ diffuse large B-cell lymphoma cell lines

CXCR4 membrane levels were evaluated in four human DLBCL cell lines by flow cytometry (Figure 1A) and IHC (Online Supplementary Figure S1). CXCR4 expression was highest in Toledo cells, followed by U-2932 and RIVA, whereas CXCR4 expression in the SUDHL-2 cell line was undetectable. CXCR4-transfected SUDHL-2 cells (CXCR4+ SUDHL-2) showed average CXCR4 levels.
Figure 1

In vitro T22-GFP-H6 nanocarrier internalization in CXCR4+ diffuse large B-cell lymphoma (DLBCL) cell lines and its dependence on the CXCR4 receptor. (A) CXCR4 membrane expression of different DLBCL cell lines (Toledo, U-2932, RIVA and SUDHL-2) and the SUDHL-2 cell line transfected with a CXCR4 plasmid (CXCR4+ SUDHL-2) measured by flow cytometry. (B) Levels of intracellular fluorescence quantified by flow cytometry in Toledo, U-2932, RIVA and SUDHL-2 cells after 1 hour (h) exposure to T22-GFP-H6 nanocarrier at different concentrations (range: 0.1nM-250nM). (C) T22-GFP-H6 internalization, measured by flow cytometry, in Toledo, U-2932 and RIVA cells after 1h pretreatment with the antagonist AMD3100 (50nM T22-GFP-H6:500nM AMD3100). (D) Competition assays with AMD3100 (250nM T22-GFP-H6: 2500nM AMD3100) in SUDHL-2 cells and CXCR4+ SUDHL-2 cells. (E) Lack of cytotoxicity (measured as percentage of cell viability) after 48h exposure to high concentrations of T22-GFP-H6 nanocarrier (range: 50nM-500nM) in Toledo, U-2932, RIVA and SUDHL-2 cells. *P<0.05; **P<0.01; ***P<0.001; ns: non-significant; MFI: mean fluorescence intensity.

In vitro T22-GFP-H6 nanocarrier internalization in CXCR4+ diffuse large B-cell lymphoma (DLBCL) cell lines and its dependence on the CXCR4 receptor. (A) CXCR4 membrane expression of different DLBCL cell lines (Toledo, U-2932, RIVA and SUDHL-2) and the SUDHL-2 cell line transfected with a CXCR4 plasmid (CXCR4+ SUDHL-2) measured by flow cytometry. (B) Levels of intracellular fluorescence quantified by flow cytometry in Toledo, U-2932, RIVA and SUDHL-2 cells after 1 hour (h) exposure to T22-GFP-H6 nanocarrier at different concentrations (range: 0.1nM-250nM). (C) T22-GFP-H6 internalization, measured by flow cytometry, in Toledo, U-2932 and RIVA cells after 1h pretreatment with the antagonist AMD3100 (50nM T22-GFP-H6:500nM AMD3100). (D) Competition assays with AMD3100 (250nM T22-GFP-H6: 2500nM AMD3100) in SUDHL-2 cells and CXCR4+ SUDHL-2 cells. (E) Lack of cytotoxicity (measured as percentage of cell viability) after 48h exposure to high concentrations of T22-GFP-H6 nanocarrier (range: 50nM-500nM) in Toledo, U-2932, RIVA and SUDHL-2 cells. *P<0.05; **P<0.01; ***P<0.001; ns: non-significant; MFI: mean fluorescence intensity. T22-GFP-H6 nanocarrier internalization correlated with CXCR4 expression. Thus, T22-GFP-H6 internalized the most in Toledo cells, followed by U-2932 and RIVA, whereas it did not internalize in SUDHL-2 (Figure 1B). Moreover, T22-GFP-H6 nanocarrier internalization was CXCR4-dependent. So, after preincubation with CXCR4 antagonist AMD3100, T22-GFP-H6 internalization decreased significantly in Toledo, U-2932 and RIVA cells (Figure 1C). As expected, T22-GFP-H6 did not internalize in SUDHL-2 cells (only background FLI was detected), whereas high internalization was registered in CXCR4+ SUDHL-2 cells. Similarly, AMD3100 preincubation had no effect on nanocarrier internalization in SUDHL-2 cells but led to a significant decrease in CXCR4+ SUDHL-2 cells (Figure 1D). Thus, we showed specific in vitro entry of T22-GFP-H6 into CXCR4+ DLBCL cells through the CXCR4 receptor.

Non-cytotoxic effect of T22-GFP-H6 in diffuse large B-cell lymphoma cell lines in vitro

After exposure to T22-GFP-H6 (50-500nM range), cell viability for all four evaluated DLBCL cell lines was approximately or above 100% (Figure 1E). Therefore, T22-GFP-H6 nanocarrier has no in vitro antineoplastic effect against these DLBCL cell lines.

Highly selective T22-GFP-H6 tumor uptake in mice bearing subcutaneous CXCR4+ diffuse large B-cell lymphoma tumors without toxicity

We evaluated T22-GFP-H6 biodistribution in the CXCR4+ SC Toledo mouse model, measuring the fluorescence emitted by the nanocarrier GFP domain, after a single 200 μg IV dose. T22-GFP-H6 accumulated in CXCR4+ SC tumors 2h after injection, reaching a FLI peak 5h post injection, and decreasing considerably after 24h (Figure 2A and B). Tumor uptake 5h post injection was 35.85 times higher than lung uptake, which was taken as a reference among the normal mouse organs because, although almost negligible, it did show the most sustained FLI emission over time (Figure 2B and Online Supplementary Table S1). Similar observations were made in all non-tumor organs analyzed (Figure 2B and C). Moreover, we did not observe any histological alteration in Hematoxylin & Eosin (H&E) stained normal organs (Figure 2D).
Figure 2

In vivo biodistribution and toxicity assessment of T22-GFP-H6 in the CXCR4+ subcutaneous (SC) Toledo mouse model. (A) Fluorescence intensity (FLI) detection in SC Toledo tumors at 2, 5 or 24 hours (h) after intravenous (IV) injection of 200 μg of T22-GFP-H6. No fluorescence was detected in buffer-treated mice. (B) Quantification of emitted fluorescence (measured as FLI ratio) at different times (2, 5 and 24h) in SC tumors and normal tissues (liver, spleen, heart, lungs, kidneys and bone marrow). (C) FLI emitted by the nanocarrier in normal tissues 5h after T22-GFP-H6 administration. (D) Hematoxylin & Eosin (H&E) stained tissue sections of normal organs and SC tumors at the 5h FLI peak. (E) Representation of the area under the curve (AUC) of emitted FLI over time (2-24h) registered in tumors, liver and lungs in T22-GFP-H6-treated mice. Notice that the AUC in the organs with an uptake lower than 2% (spleen, kidney, heart and BM) is not visible in this graphic. (F) Percentage of nanocarrier uptake (as measured by the AUC of emitted FLI) registered in each organ studied in relation to the total emitted FLI (sum of AUC in tumors and all studied normal organs) during the 2-24h period and expressed as mean±Standard Error of Mean (SEM). FLI ratio for experimental mice was calculated subtracting the FLI auto-fluorescence of control mice and dividing the FLI signal of each tumor/tissue by the FLI signal of the lungs (organ chosen as reference). Original magnification ×400. BM: bone marrow.

In vivo biodistribution and toxicity assessment of T22-GFP-H6 in the CXCR4+ subcutaneous (SC) Toledo mouse model. (A) Fluorescence intensity (FLI) detection in SC Toledo tumors at 2, 5 or 24 hours (h) after intravenous (IV) injection of 200 μg of T22-GFP-H6. No fluorescence was detected in buffer-treated mice. (B) Quantification of emitted fluorescence (measured as FLI ratio) at different times (2, 5 and 24h) in SC tumors and normal tissues (liver, spleen, heart, lungs, kidneys and bone marrow). (C) FLI emitted by the nanocarrier in normal tissues 5h after T22-GFP-H6 administration. (D) Hematoxylin & Eosin (H&E) stained tissue sections of normal organs and SC tumors at the 5h FLI peak. (E) Representation of the area under the curve (AUC) of emitted FLI over time (2-24h) registered in tumors, liver and lungs in T22-GFP-H6-treated mice. Notice that the AUC in the organs with an uptake lower than 2% (spleen, kidney, heart and BM) is not visible in this graphic. (F) Percentage of nanocarrier uptake (as measured by the AUC of emitted FLI) registered in each organ studied in relation to the total emitted FLI (sum of AUC in tumors and all studied normal organs) during the 2-24h period and expressed as mean±Standard Error of Mean (SEM). FLI ratio for experimental mice was calculated subtracting the FLI auto-fluorescence of control mice and dividing the FLI signal of each tumor/tissue by the FLI signal of the lungs (organ chosen as reference). Original magnification ×400. BM: bone marrow. The quantification of the AUC of emitted FLI over the study period (Figure 2E and Online Supplementary Table S2) showed that tumor tissue accumulated 86.13±4.04% of the total FLI detected in all organs, including tumor and non-tumor tissues. In contrast, the liver, which was the non-tumor organ with higher AUC, reached only 5.96±2.83% (Figure 2F). Therefore, T22-GFP-H6 displayed a specific targeting of CXCR4+ SC DLBCL tumors with negligible nanocarrier accumulation in non-tumor bearing organs, which supports a highly selective tumor uptake as compared to normal cells. After a single T22-GFP-H6 IV administration, measurement of circulating nanocarrier showed a fast biodistribution half-life (t1/2≈20min) in the blood compartment, followed by a slower elimination phase (t1/2≈75min), becoming undetectable in plasma at 2h (Figure 3A and B).
Figure 3

T22-GFP-H6 pharmacokinetics in plasma and clearance in CXCR4+ SC Toledo mouse model. (A) Representative images of fluorescence intensity (FLI) registered in plasma (250 μL) of mice treated with buffer or 200 μg T22-GFP-H6, 10 minutes (min), 30 min, 2 hour (h), 5h, 15h, 24h and 48h after its administration. (B) Graphical representation of FLI quantification in plasma over time. (C and D) Western blot analysis of the fate of the T22-GFP-H6 protein in hepatic and renal tissue in mice treated with buffer or 10 min, 30 min, 2h, 5h, 15h, 24h and 48h after nanocarrier administration. (E) Western blot analysis of the fate and processing of the T22-GFP-H6 protein in subcutaneous (SC) Toledo tumors in mice treated with buffer or 10min, 30min, 2h, 5h, 15h, 24h and 48h after nanocarrier administration. Note the almost complete proteolysis of the full-length protein nanocarrier in tumor tissue, and the absence of proteolysis in liver and kidney. GAPDH was used as a loading control. T22-GFP-H6 was detected with an anti-GFP antibody.

T22-GFP-H6 pharmacokinetics in plasma and clearance in CXCR4+ SC Toledo mouse model. (A) Representative images of fluorescence intensity (FLI) registered in plasma (250 μL) of mice treated with buffer or 200 μg T22-GFP-H6, 10 minutes (min), 30 min, 2 hour (h), 5h, 15h, 24h and 48h after its administration. (B) Graphical representation of FLI quantification in plasma over time. (C and D) Western blot analysis of the fate of the T22-GFP-H6 protein in hepatic and renal tissue in mice treated with buffer or 10 min, 30 min, 2h, 5h, 15h, 24h and 48h after nanocarrier administration. (E) Western blot analysis of the fate and processing of the T22-GFP-H6 protein in subcutaneous (SC) Toledo tumors in mice treated with buffer or 10min, 30min, 2h, 5h, 15h, 24h and 48h after nanocarrier administration. Note the almost complete proteolysis of the full-length protein nanocarrier in tumor tissue, and the absence of proteolysis in liver and kidney. GAPDH was used as a loading control. T22-GFP-H6 was detected with an anti-GFP antibody. The highly unusual T22-GFP-H6 tumor uptake and its low accumulation in the expected non-tumor drug clearance organs (i.e. liver and kidney) triggered the analysis of the nanocarrier fate in these organs by western blot. After a single T22-GFP-H6 dose, we observed the full-length protein (≈30kDa) present in liver and kidney 10min post administration (Figure 3C and D), becoming undetectable over a period which ranged from 30min to 48h. In sharp contrast, we detected full-length T22-GFP-H6 protein in Toledo SC tumors at 10min, 30min, 2h and 5h. Interestingly, faint proteolytic bands appeared over a period which ranged from 30min to 2h, which became more intense at 5h. Over a period which ranged from 15h to 48h, the full-length protein decreased dramatically and the nananocarrier was mostly proteolyzed (Figure 3E). These results, together with the observed FLI AUC in tumor and normal organs, suggest that the proteolytic activity observed in the tumor makes it the main nanocarrier clearance organ.

T22-GFP-H6 and CXCR4 receptor co-localization in the cell membrane followed by its internalization in CXCR4+ diffuse large B-cell lymphoma cells

At the FLI peak (5h) after a single 200µg injection, we observed nanocarrier internalization in 56.2±12.0% of the Toledo cells (green staining with anti-GFP IF) in tumors, whereas all (100%) tumor cells over-expressed CXCR4 (red staining with anti-CXCR4 IF). In buffer-treated tumors, the CXCR4 receptor localized mainly at Toledo cell membrane, while a dot-like staining inside the cell cytosol was observed in the nanocarrier-treated-tumors; a finding consistent with receptor internalization within endocytic vesicles. Merged (yellow) images showed nanocarrier and CXCR4 co-localization in the membrane of Toledo cells in T22-GFP-H6-treated tumors. Once into the cytosol, the CXCR4 and T22-GFP-H6 stained endosomal vesicles were dissociated (Figure 4). These results suggest that T22-GFP-H6 interacts with the CXCR4 receptor in the cell membrane, where both co-localize and, after internalizing jointly within endosomal vesicles, they are able to release the nanocarrier in the CXCR4+ DLBCL cell cytosol.
Figure 4

Co-localization of T22-GFP-H6 and CXCR4 receptor in the cell membrane and nanocarrier internalization in CXCR4+ subcutaneous (SC) tumors. Representative immunofluorescence images from SC Toledo tumors of mice treated with T22-GFP-H6 (200 μg, 5h) or buffer. T22-GFP-H6 and CXCR4 co-localization was mainly seen in the cell membrane (yellow dots), whereas internalized nanocarriers were observed in the cell cytosol (green dots) and the endocytic vesicles with the CXCR4 receptor (red dots). DAPI staining (blue), anti-GFP protein (green), anti-CXCR4 receptor (red) and merged images from the three stains. Scale bars=10 μm.

Co-localization of T22-GFP-H6 and CXCR4 receptor in the cell membrane and nanocarrier internalization in CXCR4+ subcutaneous (SC) tumors. Representative immunofluorescence images from SC Toledo tumors of mice treated with T22-GFP-H6 (200 μg, 5h) or buffer. T22-GFP-H6 and CXCR4 co-localization was mainly seen in the cell membrane (yellow dots), whereas internalized nanocarriers were observed in the cell cytosol (green dots) and the endocytic vesicles with the CXCR4 receptor (red dots). DAPI staining (blue), anti-GFP protein (green), anti-CXCR4 receptor (red) and merged images from the three stains. Scale bars=10 μm.

Selective CXCR4-dependent T22-GFP-H6 tumor uptake in subcutaneous diffuse large B-cell lymphoma tumors

We also assessed the dependence of nanocarrier tumor uptake on CXCR4 receptor, performing in vivo competition assays using the CXCR4 antagonist AMD3100 in mice bearing CXCR4+ Toledo-derived SC tumors (Figure 5A). Five hours after T22-GFP-H6 administration, we registered a peak of nanocarrier accumulation in tumors that reached 3.23±0.38E7. In contrast, the AMD3100 administration prior and after nanocarrier injection blocked nanocarrier uptake in tumors, since the emitted FLI was 10 times lower (0.31±0.52E7) (Figure 5B). Differences between the Toledo tumors treated with T22-GFP-H6 and those treated with AMD3100 plus T22-GFP-H6 were highly significant (Figure 5C). This inhibition of nanocarrier uptake by AMD3100 confirms that tumor uptake depends on the CXCR4-receptor.
Figure 5

CXCR4-dependent uptake of T22-GFP-H6 nanocarrier in diffuse large B-cell lymphoma (DLBCL) subcutaneous (SC) tumors. (A) For the CXCR4 blocking experiment, mice were injected with a total of three SC doses of AMD3100 at 10 mg/kg. The time point of mice sacrifice was 2 hours (h) after the last AMD3100 SC injection, which corresponds to the 5h fluorescence intensity (FLI) peak after T22-GFP-H6 injection. (B) Representative images of emitted FLI by SC Toledo tumors from buffer, T22-GFP-H6, AMD3100 or AMD3100+T22-GFP-H6 treated animals. (C) FLI levels of SC tumor-bearing-mice of Toledo cells administered with T22-GFP-H6 or AMD3100+T22-GFP-H6 and FLI levels of the tumors in T22-GFP-H6-treated bearing SC CXCR4+ SUDHL-2 tumors or SC CXCR4– SUDHL-2 tumors. (D) A representative image of the FLI in SC tumors of CXCR4– SUDHL-2 and CXCR4+ SUDHL-2 cells after 5h of T22-GFP-H6 or buffer administration. (E) Level of membrane CXCR4 expression detected by immunohistochemistry (IHC) in SC tumors derived from Toledo, CXCR4+ SUDHL-2 and CXCR4– SUDHL-2 cells. **P<0.01. Original magnification ×1000.

CXCR4-dependent uptake of T22-GFP-H6 nanocarrier in diffuse large B-cell lymphoma (DLBCL) subcutaneous (SC) tumors. (A) For the CXCR4 blocking experiment, mice were injected with a total of three SC doses of AMD3100 at 10 mg/kg. The time point of mice sacrifice was 2 hours (h) after the last AMD3100 SC injection, which corresponds to the 5h fluorescence intensity (FLI) peak after T22-GFP-H6 injection. (B) Representative images of emitted FLI by SC Toledo tumors from buffer, T22-GFP-H6, AMD3100 or AMD3100+T22-GFP-H6 treated animals. (C) FLI levels of SC tumor-bearing-mice of Toledo cells administered with T22-GFP-H6 or AMD3100+T22-GFP-H6 and FLI levels of the tumors in T22-GFP-H6-treated bearing SC CXCR4+ SUDHL-2 tumors or SC CXCR4– SUDHL-2 tumors. (D) A representative image of the FLI in SC tumors of CXCR4– SUDHL-2 and CXCR4+ SUDHL-2 cells after 5h of T22-GFP-H6 or buffer administration. (E) Level of membrane CXCR4 expression detected by immunohistochemistry (IHC) in SC tumors derived from Toledo, CXCR4+ SUDHL-2 and CXCR4– SUDHL-2 cells. **P<0.01. Original magnification ×1000. Additional support for this selective uptake comes from additional biodistribution assays comparing CXCR4– SUDHL-2 and CXCR4+ SUDHL-2 SC tumor-bearing mice. Five hours after 200 μg T22-GFP-H6 administration, FLI emission from CXCR4+ SUDHL-2 tumors was significantly higher (2.12±0.46E7) than from CXCR4– SUDHL-2 tumors (0.04±0.21E7) (Figure 5C and D). Consistently, Toledo and CXCR4+ SUDHL-2 tumors showed CXCR4 membrane expression, as measured by IHC, whereas CXCR4– SUDHL-2 tumors did not (Figure 5E); a finding that confirms the specific directioning of T22-GFP-H6 to tumors containing CXCR4+ DLBCL cells.

T22-GFP-H6 biodistributes to all diffuse large B-cell lymphoma-infiltrated organs and internalizes in lymphoma cells in a CXCR4+ diffuse large B-cell lymphoma disseminated mouse model

We evaluated the biodistribution of T22-GFP-H6 in vivo in a CXCR4+ Toledo-Luci disseminated DLBCL mouse model, while monitoring lymphoma cell dissemination by measuring BLI levels emitted by the infiltrated organs in vivo (Figure 6A). In addition, we precisely identified the organs showing infiltration by Toledo-Luci cells, BM (cranium and hind limbs) and LN (cervical and renal). In some mice (37.5%), we detected residual BLI levels in the spleen and no infiltration was observed in any other organ (Figure 6B). Macroscopic LN (cervical and renal) infiltration was identified in 100% of mice (Figure 6C). H&E staining and anti-CD20 IHC confirmed Toledo-Luci cell infiltration in BM and LN tissue sections. CXCR4 membrane expression was maintained in DLBCL cells located in all infiltrated organs (Figure 6D).
Figure 6

Pattern of organ infiltration in the Toledo-Luci diffuse large B-cell lymphoma (DLBCL) disseminated mouse model. (A) Bioluminescent intensity (BLI) follow up by IVIS Spectrum of mice intravenously injected with Toledo cells transfected with the Luciferase gene (Toledo-Luci cells). (B) Ex vivo representative images of the recorded BLI emission in different mouse organs: spleen, liver, kidneys, heart, lungs, hind limbs, cranium, cervical lymph nodes (LN) and renal LN. (C) Macroscopic images showing Toledo-Luci cell infiltration in cervical LN and renal LN. White arrows show the LN location. (D) Hematoxylin & Eosin (H&E) staining, anti-CD20 immunohistochemistry (IHC) for B-cell detection, and anti-CXCR4 IHC in bone marrow (BM) (cranium) and LN (cervical). Original magnification ×400. Scale bars=50 μm.

Pattern of organ infiltration in the Toledo-Luci diffuse large B-cell lymphoma (DLBCL) disseminated mouse model. (A) Bioluminescent intensity (BLI) follow up by IVIS Spectrum of mice intravenously injected with Toledo cells transfected with the Luciferase gene (Toledo-Luci cells). (B) Ex vivo representative images of the recorded BLI emission in different mouse organs: spleen, liver, kidneys, heart, lungs, hind limbs, cranium, cervical lymph nodes (LN) and renal LN. (C) Macroscopic images showing Toledo-Luci cell infiltration in cervical LN and renal LN. White arrows show the LN location. (D) Hematoxylin & Eosin (H&E) staining, anti-CD20 immunohistochemistry (IHC) for B-cell detection, and anti-CXCR4 IHC in bone marrow (BM) (cranium) and LN (cervical). Original magnification ×400. Scale bars=50 μm. We went on to study T22-GFP-H6 biodistribution after IV injection (400 μg dose) or buffer in mice displaying complete dissemination of Toledo cells (27-30 days post injection). Five hours after nanocarrier injection, we observed high FLI in BM (cranium and hind limbs) and LN (renal and cervical), whereas fluorescence was negligible or undetectable in non-infiltrated organs (Figure 7A and B). Indeed, T22-GFP-H6 was specifically delivered to the DLBCL infiltrated organs since FLI levels in BM and LN were 31.05- and 12.98-fold higher, respectively, in comparison to lungs (the reference organ showing background FLI levels) (Figure 7B and Online Supplementary Table S3). Moreover, no histopathological alterations were observed in any tissue analyzed in nanocarrier-treated mice (data not shown). IF analysis using anti-GFP showed T22-GFP-H6 (green) in Toledo-Luci cell cytosol in affected BM and LN. In addition, CXCR4 dot-like (red) and nanocarrier (green) staining co-localized (yellow) on the cell membrane. Moreover, similar to findings in SC Toledo tumors, in the disseminated model, we found a release of the nanocarrier into CXCR4+ DLBCL cell cytosol separated from endocytic vesicles containing the CXCR4 receptor (Figure 7C).
Figure 7

T22-GFP-H6 nanocarrier biodistribution in the Toledo-Luci diffuse large B-cell lymphoma (DLBCL) disseminated mouse model. (A) Level of fluorescence intensity (FLI) emission in bone marrow (BM) (cranium and hind limbs) and lymph nodes (LN) (cervical and renal) 5 hours (h) after the administration of 400 μg T22-GFP-H6 or buffer in a Toledo-Luci disseminated mouse model. (B) Comparison of FLI emission by T22-GFP-H6 accumulated in infiltrated DLBCL organs (BM and LN) as compared to non-DLBCL infiltrated organs (spleen, liver, kidneys, heart and lungs). FLI ratio from experimental mice was calculated subtracting the FLI auto-fluorescence of control mice and dividing the FLI recorded for each tissue by the FLI emitted by the lungs. (C) Representative immunofluorescent images of BM (cranium) and LN (cervical) in nanocarrier-treated mice and buffer-treated mice. Notice that green dots depicting internalized nanocarrier in the cytosol are only observed in T22-GFP-H6 treated animals. DAPI staining (blue), anti-GFP protein (green), anti-CXCR4 receptor (red) and merged images from the three stains. Scale bars=10 μm.

T22-GFP-H6 nanocarrier biodistribution in the Toledo-Luci diffuse large B-cell lymphoma (DLBCL) disseminated mouse model. (A) Level of fluorescence intensity (FLI) emission in bone marrow (BM) (cranium and hind limbs) and lymph nodes (LN) (cervical and renal) 5 hours (h) after the administration of 400 μg T22-GFP-H6 or buffer in a Toledo-Luci disseminated mouse model. (B) Comparison of FLI emission by T22-GFP-H6 accumulated in infiltrated DLBCL organs (BM and LN) as compared to non-DLBCL infiltrated organs (spleen, liver, kidneys, heart and lungs). FLI ratio from experimental mice was calculated subtracting the FLI auto-fluorescence of control mice and dividing the FLI recorded for each tissue by the FLI emitted by the lungs. (C) Representative immunofluorescent images of BM (cranium) and LN (cervical) in nanocarrier-treated mice and buffer-treated mice. Notice that green dots depicting internalized nanocarrier in the cytosol are only observed in T22-GFP-H6 treated animals. DAPI staining (blue), anti-GFP protein (green), anti-CXCR4 receptor (red) and merged images from the three stains. Scale bars=10 μm.

T22-GFP-H6 internalization in CXCR4+ mouse cells

To support the relevance of our CXCR4+ DLBCL models for clinical translation of the tumor (human cells) and non-tumor (mouse cells) biodistribution data, we assessed whether the nanocarrier internalized in mouse cells. Firstly, we evaluated CXCR4 expression in the mouse B-cell lymphoma WEHI-231 cell line that showed medium CXCR4 membrane expression by flow cytometry and IHC (Online Supplementary Figure S2A). Then, we demonstrated intracellular nanocarrier uptake in mouse WEHI-231 cells and its dependence on CXCR4 expression, since it was inhibited by AMD3100 (Online Supplementary Figure S2B). Therefore, T22-GFP-H6 internalizes in both CXCR4+ human and CXCR4+ mouse lymphoma cells.

T22-DITOX-H6 antitumor effect and lack of toxicity in a CXCR4+ subcutaneous diffuse large B-cell lymphoma mouse model

Finally, we evaluated whether the therapeutic nanoparticle T22-DITOX-H6, incorporating a toxin domain with known antitumor activity, induced cell death of Toledo cells in SC tumors without damaging normal cells. T22-DITOX-H6 caused apoptosis in lymphoma cells in these tumors since a single IV 25 μg T22-DITOX-H6 dose significantly increased the number of apoptotic bodies and cleaved PARP level compared to buffer-treated mice (Figure 8A and B).
Figure 8

Evaluation of T22-DITOX-H6 antitumor effect and toxicity in a CXCR4+ subcutaneous (SC) Toledo mouse model. (A) Apoptosis detection by cleaved Poly(ADP-ribose) polymerase (PARP) immunohistochemistry (IHC) as well as nuclear condensation by 4′,6-diamidino-2-phenylindole (DAPI) staining. (B) Mean quantification of cleaved PARP stained area (above) and number of apoptotic bodies by DAPI staining (bottom) in SC Toledo tumors 24 hours (h) after treatment with buffer or a single intravenous (IV) injection of 25 μg T22-DITOX-H6. (C) Lack of T22-DITOX-H6-induced toxicity in mouse bone marrow (BM). Human anti-CD20 and mouse anti-CXCR4 IHC assays were used to identify CXCR4+ mouse cells resident in BM. Hematoxylin & Eosin (H&E) and DAPI staining samples were examined to detect possible alterations in cell morphology or cell death induction. (D) Lack of systemic toxicity in liver or kidney by histological analysis of tissue sections H&E 24h after treatment with buffer or 25 μg T22-DITOX-H6. All images were taken at ×400 and inserts at x1000. *P<0.05.

Evaluation of T22-DITOX-H6 antitumor effect and toxicity in a CXCR4+ subcutaneous (SC) Toledo mouse model. (A) Apoptosis detection by cleaved Poly(ADP-ribose) polymerase (PARP) immunohistochemistry (IHC) as well as nuclear condensation by 4′,6-diamidino-2-phenylindole (DAPI) staining. (B) Mean quantification of cleaved PARP stained area (above) and number of apoptotic bodies by DAPI staining (bottom) in SC Toledo tumors 24 hours (h) after treatment with buffer or a single intravenous (IV) injection of 25 μg T22-DITOX-H6. (C) Lack of T22-DITOX-H6-induced toxicity in mouse bone marrow (BM). Human anti-CD20 and mouse anti-CXCR4 IHC assays were used to identify CXCR4+ mouse cells resident in BM. Hematoxylin & Eosin (H&E) and DAPI staining samples were examined to detect possible alterations in cell morphology or cell death induction. (D) Lack of systemic toxicity in liver or kidney by histological analysis of tissue sections H&E 24h after treatment with buffer or 25 μg T22-DITOX-H6. All images were taken at ×400 and inserts at x1000. *P<0.05. We then confirmed CXCR4 expression in hematopoietic cells of the mouse BM (CXCR4+ CD20- staining) (Figure 8C). A direct comparison showed that CXCR4 expression in SC Toledo tumors was significantly (22.87 times) higher than CXCR4 in mouse BM hematopoietic cells (Online Supplementary Figure S2C and D). No histopathological alterations (H&E) nor induction of cell death (DAPI staining) was observed in the BM of T22-DITOX-H6-treated mice (Figure 8C). Lastly, we did not find any macroscopic (data not shown) or microscopic (H&E staining) alteration in liver and kidneys (Figure 8D). Our results support the use of the nanocarrier under examination to efficiently deliver antitumor agents to achieve the selective killing of CXCR4+ lymphoma cells without inducing toxicity on CXCR4+ mouse hematopoietic cells or systemic organs.

Discussion

A huge limitation for the clinical translation of nanomedicines in oncology is the fact that only 0.7-5.0% of the administered dose reaches the tumor.[23,24] In contrast, our biodistribution studies show a very high level of T22-GFP-H6 uptake in tumor tissue (86.1% of the total emitted fluorescence) compared to the combined fluorescence emitted by all normal tissues (13.9% of total tumor+non-tumor fluorescence), including the spleen, liver, kidney, heart, lung and BM. We have recently reported a similar finding for the same nanocarrier in a SC colorectal cancer (CRC) model.[25] These data are consistent with the fast biodistribution half-life for the nanocarrier in blood (approx. 20 min) and the detection of the full length protein in the 10min-5h period in SC CXCR4+ DLBCL tumors. Unexpectedly, we found that most of the proteolytic metabolism of T22-GFP-H6 occurs in tumor tissues, whereas clearance in liver or kidney is negligible, being detectable in these organs at 10 min, probably by accessing the fenestrated vessels during a short time period, but being unable to reach their parenchyma. Our data are in dramatic contrast to the reported biodistribution of most nanocarriers studied so far, regardless of whether this was targeted actively or passively. Nowadays, most nanocarriers that transport medicinal drugs in clinical trials, or that are available on the market, use passive targeting (e.g. liposomal doxorubicin or albumin-paclitaxel). They enhance the drug antitumor effect because its particulate size increases its permeability and retention in the tumor (EPR effect). Nevertheless, 50-80% of these nanocarriers accumulate in the liver.[26] Although still at an initial stage, active nanocarrier targeting is being developed to selectively deliver antitumor drugs to tumor cells through specific surface receptors.[27] Regarding B-cell lymphoma therapy, the use of doxorubicin-loaded meso-porous silica nanoparticles bound to rituximab, for targeting CD20+ B cells, demonstrated a significant increase in doxorubicin tumor uptake and higher inhibition of tumor growth than free doxorubicin.[28] Moreover, additional targeted and non-targeted therapeutic nanoparticles are currently being evaluated for treatment of B-cell malignancies; however, no efficacy data are available yet because Phase I clinical assays to test their tolerability are still ongoing.[29] The strategy we have used here with the actively targeted T22-GFP-H6 nanocarrier achieves selective and enhanced biodistribution to tumor tissue with no toxicity in the non-tumor organs. One possible explanation for the enhanced T22-GFP-H6 tumor uptake relates to the nature of the nanocarrier material. While our nanocarrier is made of self-assembled proteins, most, if not all, nanocarriers showing limited biodistribution to tumor are either inorganic (gold, silica, iron oxide, quantum dots) or organic (dendrimers, liposomes polymers, hydrogels) rather than protein-based.[23,24] Once administered in blood, non-protein-based nanocarriers are covered by a protein corona that changes the conformation of the nanocarrier surface[30] and undergo intensive phagocytosis by resident macrophages in clearance organs.[31] A completely different protein drug delivery system is represented by the targeted antibody-drug conjugates (ADC), which have lower loading capacity and flexibility for encapsulating various cargos and display a less controllable drug release kinetics compared to nanocarriers.[32] Consequently, in clinical studies, only 0.001-0.01% of the injected antibody dose reaches the tumor;[33] thus, although ADC are standard treatment in some neoplasias, protein nanocarriers could offer an enormous opportunity to improve drug delivery to tumors. Our results on nanocarrier biodistribution in the SC tumor model demonstrate a specific co-localization of the nanocarrier together with the CXCR4 receptor in the cell membrane followed by their internalization, via endocy-tosis, to reach the cytosol of CXCR4+ DLBCL cells. Once inside the cytosol, the structure of the nanocarrier elicits endosomal escape and delivery of the materials into the cytoplasm, before its ultimate intracellular proteolysis.[16] Furthermore, the efficacy of a T22-GFP-H6 nanocarrier that targets CXCR4+ DLBCL cells appears to be exclusively dependent on the overexpression of CXCR4 receptor in the membrane of tumor cells. This notion is currently supported by two main findings: on the one hand, T22-GFP-H6 displays a tumor uptake significantly higher than that achieved in the same SC tumor when CXCR4 is inhibited by AMD3100 in the competition assay. On the other hand, T22-GFP-H6 administration to mice bearing CXCR4+ SC SUDHL-2 tumors shows significantly higher uptake than CXCR4– SC SUDHL-2 tumors. Moreover, we confirmed the capacity of T22-GFP-H6 to internalize in CXCR4+ mouse cells, similar to our findings in CXCR4+ human cells. Thus, the high T22-GFP-H6 tumor uptake, and its low uptake in non-tumor organs, is necessarily related to the huge CXCR4 overexpression in DLBCL lymphoma cells and the negligible or low CXCR4 expression in normal organs, including BM mouse hematopoietic cells. Importantly, in the disseminated CXCR4+ DLBCL mouse model, involving BM and LN, this nanocarrier also shows a high tumor uptake in the organs affected by CXCR4+ lymphoma cells, while displaying low biodistribution to normal tissues (with low or null CXCR4 expression). Unlike low molecular weight drugs that passively diffuse to all cells in the body, the biodistribution of the nanocarrier, or drug-loaded nanocarriers, is limited by their size; thus, it becomes highly dependent on the physiology and anatomy of specific organs in the body. Nanocarriers are unable to access organs irrigated by vessels with continuous endothelia and unable to penetrate membranes, unless they are actively targeted for endocytosis.[34] Our protein nanocarrier can accumulate in the sinusoids of BM and LN infiltrated with tumor cells because they display vascular beds with discontinuous endotheli-um and 100-200nm fenestrations that allow the transport of macromolecules, including nanocarriers.[35-37] Moreover, as we have showed in the SC mouse model, T22-GFP-H6 also has the capacity to internalize specifically in the CXCR4+ DLBCL cells, here localized in BM and LN in the DLBCL disseminated model. Even though there is no consistent EPR effect in hematologic neoplasias,[20] the structure of the vessels in the sinusoids of the DLBCL niches and the active targeting to CXCR4 allow T22-GFP-H6 accumulation and internalization in the tumor niches that are infiltrated by CXCR4+ DLBCL cells. Given the high selectivity that T22-GFP-H6 achieves in targeting CXCR4+ DLBCL cells within the tumor, we used the SC CXCR4+ Toledo model to test the antitumor activity of T22-DITOX-H6, a therapeutic nanoparticle derived from this nanocarrier that incorporates the diphtheria cytotoxic domain. This therapeutic nanoparticle induced a high level of apoptotic cell death in tumor tissue without toxicity, since it did not induce any macroscopic or histological alteration in normal organs, including the BM. The higher levels of CXCR4 expression in DLBCL cells, as compared to normal hematopoietic cells in the BM, were likely responsible for the cytotoxic activity, observed exclusively in tumor cells. These data confirm the capacity of the studied protein nanocarrier to be used as a platform for the delivery of antitumor agents to DLBCL cells. We have previously described also the potential use of T22-GFP-H6 as an antitumor drug delivery agent for the treatment of colorectal cancer and leukemia.[18,38,39] To our knowledge, no protein-based therapeutic nanoparticle has been previously reported as a possible drug carrier for lymphoma therapy. So far, most research studies for DLBCL therapy targeting CXCR4 are performed with CXCR4 antagonists (e.g. plerixafor or BKT140)[8,10,15] or inverse agonists (e.g. IQS-01.01RS).[40] Our approach differs from these studies since it is not focused on inhibiting signaling downstream of the CXCR4 receptor, but, instead, in delivering high concentrations of potent therapeutic agents to specifically kill CXCR4+ lymphoma cells. The active delivery of the drug-loaded nanocarriers only to CXCR4+ cells should increase the therapeutic index compared to low molecular weight CXCR4 inhibitors, which biodistribute to all tissues independently of their CXCR4 expression.[41,42] In conclusion, specifically eliminating CXCR4+ DLBCL cells could be an effective strategy to enhance the survival and cure rates observed in R-CHOP refractory or relapsed patients.
  40 in total

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Journal:  Small       Date:  2018-05-29       Impact factor: 13.281

2.  Autologous bone marrow transplantation as compared with salvage chemotherapy in relapses of chemotherapy-sensitive non-Hodgkin's lymphoma.

Authors:  T Philip; C Guglielmi; A Hagenbeek; R Somers; H Van der Lelie; D Bron; P Sonneveld; C Gisselbrecht; J Y Cahn; J L Harousseau
Journal:  N Engl J Med       Date:  1995-12-07       Impact factor: 91.245

3.  Magnitude of enhanced permeability and retention effect in tumors with different phenotypes: 89Zr-albumin as a model system.

Authors:  Carola Heneweer; Jason P Holland; Vadim Divilov; Sean Carlin; Jason S Lewis
Journal:  J Nucl Med       Date:  2011-03-18       Impact factor: 10.057

4.  Angiogenesis spectrum in the stroma of B-cell non-Hodgkin's lymphomas. An immunohistochemical and ultrastructural study.

Authors:  D Ribatti; A Vacca; B Nico; M Fanelli; L Roncali; F Dammacco
Journal:  Eur J Haematol       Date:  1996 Jan-Feb       Impact factor: 2.997

Review 5.  Protein-Based Therapeutic Killing for Cancer Therapies.

Authors:  Naroa Serna; Laura Sánchez-García; Ugutz Unzueta; Raquel Díaz; Esther Vázquez; Ramón Mangues; Antonio Villaverde
Journal:  Trends Biotechnol       Date:  2017-12-12       Impact factor: 19.536

6.  Comparison of (18)F-labeled CXCR4 antagonist peptides for PET imaging of CXCR4 expression.

Authors:  Xiao-Xiang Zhang; Zhongchan Sun; Jinxia Guo; Zhe Wang; Chenxi Wu; Gang Niu; Ying Ma; Dale O Kiesewetter; Xiaoyuan Chen
Journal:  Mol Imaging Biol       Date:  2013-12       Impact factor: 3.488

7.  Targeting the CD20 and CXCR4 pathways in non-hodgkin lymphoma with rituximab and high-affinity CXCR4 antagonist BKT140.

Authors:  Katia Beider; Elena Ribakovsky; Michal Abraham; Hanna Wald; Lola Weiss; Evgenia Rosenberg; Eithan Galun; Abraham Avigdor; Orly Eizenberg; Amnon Peled; Arnon Nagler
Journal:  Clin Cancer Res       Date:  2013-05-01       Impact factor: 12.531

Review 8.  Nanomedicines and nanotoxicology: some physiological principles.

Authors:  M C Garnett; P Kallinteri
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9.  Intracellular pH-responsive and rituximab-conjugated mesoporous silica nanoparticles for targeted drug delivery to lymphoma B cells.

Authors:  Shoubing Zhou; Dan Wu; Xiaodong Yin; Xiaoxiao Jin; Xiu Zhang; Shiya Zheng; Cailian Wang; Yanwen Liu
Journal:  J Exp Clin Cancer Res       Date:  2017-02-06

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Authors:  Daniel Rosenblum; Nitin Joshi; Wei Tao; Jeffrey M Karp; Dan Peer
Journal:  Nat Commun       Date:  2018-04-12       Impact factor: 14.919

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Journal:  Drug Deliv       Date:  2022-12       Impact factor: 6.819

4.  Specific Cytotoxic Effect of an Auristatin Nanoconjugate Towards CXCR4+ Diffuse Large B-Cell Lymphoma Cells.

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Review 7.  Altered pathways and targeted therapy in double hit lymphoma.

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