LIGANDS TO LIGHT OR ITS RECEPTOR LTßR FOR USE IN HAEMATOLOGIC MALIGNANCIES
20210253723 · 2021-08-19
Assignee
Inventors
Cpc classification
A01K2207/12
HUMAN NECESSITIES
C07K16/2875
CHEMISTRY; METALLURGY
C12N15/86
CHEMISTRY; METALLURGY
C12N5/0647
CHEMISTRY; METALLURGY
International classification
C07K16/28
CHEMISTRY; METALLURGY
Abstract
The present invention relates to a non-agonist ligand, particularly an antibody, that specifically binds to LIGHT or its receptor LTβR thereby interrupting the interaction of LIGHT with LTβR for use in treatment of a haematologic malignancy.
Claims
1. A method for treatment of a haematologic malignancy, comprising administering to a subject in need thereof an agent is selected from a. a non-agonist biopolymer ligand specifically binding to LIGHT (UniProtKB: human 043557) or LTβR (UniProtKB: human_P36941); and b. a nucleic acid capable of specifically suppressing expression of LIGHT or LTβR.
2. The method according to claim 1, wherein the non-agonist biopolymer ligand is an antibody, antibody fragment, antibody-like molecule or aptamer.
3. The method according to claim 1, wherein the non-agonist biopolymer ligand is a human antibody or a humanized antibody.
4. The method according to claim 1, wherein the binding of the non-agonist biopolymer ligand to LIGHT or LTβR is characterized by a K.sub.D of smaller than (<) 10.sup.−7, particularly K.sub.D<10.sup.−8, more particularly K.sub.D<10.
5. The method according to claim 1, wherein the haematologic malignancy is selected from leukaemia, lymphoma, myeloma, myeloproliferative disease, and myelodysplastic syndrome, particularly myeloid leukemia, more particularly wherein the haematologic malignancy is selected from CML and AML.
6. The method according to claim 1, wherein the agent is the nucleic acid molecule and wherein the haematologic malignancy is selected from leukaemia, lymphoma, myeloma, myeloproliferative disease, and myelodysplastic syndrome.
7. The method according to claim 6, wherein the nucleic acid molecule is a DNA molecule or an RNA molecule.
8. The method according to claim 6, wherein the nucleic acid is a nucleic acid expression vector comprising or expressing the nucleic acid molecule.
9. The method according to claim 8, wherein the expression vector is selected from: a. a nucleic expression construct selected from a DNA plasmid, a double stranded linear DNA, and a single stranded RNA, wherein optionally said nucleic acid expression construct is encapsulated in a lipid vesicle, and b. a virus, particularly a lentivirus, a herpesvirus, an adenovirus and an adeno-associated virus.
10. The method according to claim 6, wherein the haematologic malignancy is myeloid leukemia, and wherein the myeloid leukemia is selected from CML and AML.
11. The method according to claim 1, wherein the agent is administered in a pharmaceutical composition comprising the agent and a pharmaceutically acceptable carrier.
12. The method according to claim 11, wherein the pharmaceutical composition is formulated for parenteral administration.
Description
BRIEF DESCRIPTION OF THE FIGURES
[0049]
[0050]
[0051]
[0052]
[0053]
[0054]
[0055]
[0056]
[0057]
[0058]
EXAMPLES
Materials and Methods
Mice
[0059] BL/6 and Ly5.1 mice were purchased from Charles River. Ltbr.sup.−/− mice were kindly provided by Prof. A. Aguzzi (Institute of Neuropathology, University Hospital of Zurich, Switzerland; Futterer et al 1998, Futterer, A., Mink, K., Luz, A., Kosco-Vilbois, M. H. & Pfeffer, K. Immunity 9, 59-70 (1998)). Light.sup.−/− mice were kindly provided by S. Scheu (University Hospital of Dusseldorf, Germany). In some experiments, offspring mice from Ly5.1×BL/6 breeding are used as recipient mice (referred to as Ly5.1/Ly5.2). Animal experiments were approved by the local experimental animal committee of the Canton of Bern and performed according to Swiss laws for animal protection.
CML Mouse Model
[0060] FACS-purified LSKs were transduced by spin-infection with BCR-ABL1-GFP retrovirus. CML was induced by intravenous (i.v) injection of 30.000 transduced LSKs into non-irradiated recipient mice (BL/6.fwdarw.BL/6: BL/6 CML; Ltbr.sup.−/−.fwdarw.BL/6: Ltbr.sup.−/− CML). Retrovirus particles were produced and titrated as described previously (Mumprecht, S., et al. Blood 113, 4681-4689 (2009)). CML development was monitored as described earlier (Mumprecht, S., Schurch, C., Schwaller, J., Solenthaler, M. & Ochsenbein, A. F. Blood 114, 1528-1536 (2009)). Blood counts were analyzed using a Vet abc Animal Blood Counter (Medical Solution GmbH, Bassersdorf, Switzerland). For secondary transplantations, 5×10.sup.6 BM cells or 20.000 FACS-purified LSCs from primary CML mice (18-20 days after primary transplantation) were injected i.v. into secondary immunocompetent recipients.
Treatment with 5-FU
[0061] BL/6, Ly5.1 and Ltbr.sup.−/− mice were injected intraperitoneally (i.p.) with 150 mg/kg 5-FU (Sigma). Eight to nine days post-injection, BM cells were harvested and analyzed or whole BM cells from Ly5.1 and Ltbr.sup.−/− mice were injected at a ratio of 1:1 (1.5×10.sup.6 BM cells, from each genotype) into lethally irradiated Ly5.1/Ly5.2 recipients (2x 6.5 Gy with 4-hour interval, Gammacell 40 exactor, Best Theratronics, Ottawa, Canada).
Generation of Chimeric Mice
[0062] FACS-sorted LSKs from Ly5.1, Ltbr.sup.−/− or Light.sup.−/− mice were injected i.v. at a ratio of 1:1 (17.000-20.000 cells) into lethally irradiated Ly5.1/Ly5.2 mice or congenic Light.sup.−/− (Ly5.1/Ly5.2) recipient mice. Chimerism was assessed in peripheral blood at different time points by FACS. Serial re-transplantation experiments were performed 12-18 weeks after primary transplantation. Ly5.1 and Ltbr.sup.−/− LSKs from chimeras were FACS-sorted and injected i.v. at a ratio of 1:1 into lethally irradiated Ly5.1/Ly5.2 recipient mice. If fewer than 5000 LSKs were available for re-transplantation (3.sup.rd, 4.sup.th transplantation), additional 100000 rescue BM cells from were injected i.v.
Homing Assay
[0063] Ly5.1 and Ltbr.sup.−/− LSKs were FACS-sorted and 26.000 to 54.000 LSKs were injected at a ratio of 1:1 into lethally irradiated Ly5.1/Ly5.2 recipients. Thirteen hours post-transplantation the frequency of LSKs homed to the BM cells was analyzed by FACS. The frequency of Lin.sup.− CD45.1.sup.+ and Lin.sup.−CD45.2.sup.+ cells was calculated as percentage of transplanted LSKs.
Isolation of BM Cells and Lineage Depletion
[0064] Mice were sacrificed; femurs, tibiae, humeri and the spine were crushed in PBS using a mortar and pestle. The BM suspension was filtered through a 40 μm cell strainer. Subsequently red blood cell lysis was performed and cells were washed twice with PBS. Lineage depletion was performed with via MACS separation according to manufacturer's protocol. Briefly, BM cells were stained with biotinylated antibodies (all BioLegend, San Diego, USA) against red cell precursors (aTer119), B cells (aCD19), T cells (aCD3E), myeloid cells (aGr1) and a-biotin MicroBeads using LS columns (Miltenyi Biotec, Bergisch Gladbach, Germany).
Isolation of BM Niche Cells
[0065] BM mesenchymal stromal cells (MSC), endothelial cells (EC) and osteoblasts were isolated according to (Schepers, K., et al. Cell stem cell 13, 285-299 (2013)). Briefly, bones were cleaned, crushed and digested with collagenase and DNase as descried in (Schepers, K., Hsiao, E. C., Garg, T., Scott, M. J. & Passegue, E. Blood 120, 3425-3435 (2012)). Isolated cells were stained with aCD31-FITC (390) aCD51-APC (RMV-7) aLy-6A/E-PerCP-Cy5.5 (D7, all BioLegend, San Diego, USA) and Streptavidin-V500 (BD bioscience, Eysins, Switzerland) and hematopoietic cells were excluded using anti-lineage antibodies (aTer119, aCD19, aCD3E and aGr1, aCD45 (30F11)). BM niche cells were characterized using the following surface markers; EC: CD45.sup.−CD31.sup.+sca1.sup.+, MSC: CD45Lin.sup.−CD31.sup.−Sca1.sup.+CD51.sup.+and Osteoblasts: CD45.sup.−Lin.sup.−CD31.sup.−Sca1.sup.−CD51.sup.+.
Flow Cytometry and Cell Sorting
[0066] LSKs, LSK subsets and progenitors were characterized as described (Wilson, A., et al. Annals of the New York Academy of Sciences 1106, 64-75 (2007)). Cells were stained in PBS/5% FCS with following antibodies for 30 min at 4° C.: αCD117-APC-Cy7 (2B8), αCD48-PE-Cy7 (HM48-1), αCD150-APC (TC1512F12.2), aLy-6A/E-PerCP-Cy5.5, -APC (D7, eBioscience, San Diego, USA), αCD16/CD32-PE-Cy7 (93), αCD34-eFluor-450 (RAM34, eBioscience, San Diego, USA), αCD135-PE, -biotin (A2F10, Novus, Littleton, USA), αCD127-FITC (A7R34), αCD45.1-PerCP-Cy5.5 (A20), αLTβR-PE (ebio3C8, eBioscience, San Diego, USA), αLy-6C-PerCP-Cy5.5 (HK1.4), αCD11b-PE-Cy7, αCD8a-FITC, -APC, FITC (53-6.7), αCD4 (GK1.5), αCD90.1-APC (OX-7), αCD90.2-APC (30-H12), Annexin-V-Pacific-Blue, -Alex-647, PE, αLy-6G-Pacific-Blue, αCD45.2-Alexa-700 (104), Ki67-PE (16A8), rat IgG2a,κ-PE (RTK2758), αCD45-PerCP-Cy5.5, -PE-Cy7, -APC (30-F11). Human HSPCs were stained with αCD90-PeCP-Cy5.5 (5E10), αCD34-APC (561), αLTβR-PE (31G4D8), αCD38-APC (HIT2), mouse-IgG2b,κ (MPC-11), αCD2-biotin (RPA2.10), αCD3s_biotin (OKT3), αCD14-biotin (HCD14), αCD16-biotin (3G8), αCD19-biotin (HIB19), αCD56-biotin (HCD56), αCD235a-biotin (HIR2), αCD45-Pacific-Blue (2D1), Streptavidin-V500 (all from BioLegend, San Diego, USA). FACS was performed on a LSR Fortessa cell analyzer or LSRII Flow cytometer (both BD Bioscience, San Jose, USA). Cell-sorting was done using a BD FACSARIA III (BD Bioscience, San Jose, USA). Data analysis was performed with Kaluza Flow analysis software (Beckman Coulter, Krefeld, Germany) or FowJo software (Treestar, Oreg., USA).
Cell Cycle Analysis
[0067] Ki67 staining was performed according to manufacturer's protocol. Briefly, LSKs were FACS-purified, fixed and permeabilized (FOXP3 Fixation/Permeabilization concentrate/diluent, eBioscience, San Diego, USA). Following Ki67-PE or isotype control staining, cells were stained with DAPI for 30 min at 4° C. and subsequently analyzed by flow cytometry. BrdU incorporation was used to determine proliferation rate of naïve HSCs. BrdU was administered twice i.p. 2 mg/mouse. Injections were administered 24 h and 12 h prior to analysis. BrdU incorporation was determined according to manufacturer's protocol (BD Pharmingen BrdU Flow Kits, San Jose, USA).
Image Stream Analysis
[0068] FACS-sorted LSKs from chimeric mice (6 to14 weeks after transplantation) and from 5-FU treated BL/6 and Ltbr.sup.−/− mice (eight days after treatment) were fixed with 4% Paraformaldehyd and Numb staining was performed as described (Schurch, C., Riether, C., Matter, M. S., Tzankov, A. & Ochsenbein, A. F. The Journal of clinical investigation 122, 624-638 (2012)). DAPI (Merck, Darmstadt, Germany) was used to counterstain for DNA. LSKs were acquired using an ImageStreamX Mark II imaging flow cytometer (Merck, Darmstadt, Germany). Cells were analyzed using INSPIRE and IDEAS Software. Symmetric and asymmetric cell division was determined by the Numb intensities in two daughter cells as described (Riether, C., et al. The Journal of experimental medicine 214, 359-380 (2017)).
Colony-Forming Assays (CFU)
[0069] CFU assays were performed with FACS-purified BM LSKs: (1×10.sup.3 naive LSKs; 1×10.sup.4 5-FU treated Lin.sup.−sca1.sup.+). Cells were plated in MethoCult (STEMCELL Technologies, Cambridge, USA) supplemented with 15% FCS, 20% BIT (50 mg/ml BSA in IMDM, 1.44 U/ml rh-insulin and 250 ng/ml human holo-transferrin, 100 μM 2-mercaptoethanol, 100 U/ml penicillin, 100 μg/ml streptomycin, 2 mM L-glutamine, 50 ng/ml stem cell factor (rmSCF-1), 10 ng/ml Interleukin-3 (rmIL-3), 10 ng/ml Interleukin-6 (rhIL-6) and 50 ng/ml fms-related tyrosine kinase 3 ligand (rmFLTL-3). Colonies were enumerated after 7d in culture (30 cells/colony) on a DMIL inverted microscope (Leica, Wetzlar, Germany) equipped with an Intensilight C-HGFI unit (Nikon, Tokio, Japan). Re-plating was performed with 10.000 cells per dish and counted after 7 days.
RNA Isolation and Quantitative RT-PCR (qRT-PCR)
[0070] RNA was isolated according to manufacturer's protocol (NucleoSpin RNA XS, Macherey Nagel, USA) and the expression of genes was analyzed using SYBR Green 2X PCR Master Mix (Roche, N.Y., USA) on a 7500 real-time PCR System (AB Biosystems, CA, USA). Actin or Gapdh genes were used for normalization of the gene expression.
RNA Isolation, cDNA Synthesis for Fluidigm Array
[0071] RNA was isolated from FACS-purified LSKs 6 weeks post-transplantation using RNeasy Micro Kit (QIAGEN AG, Basel, Switzerland) according the optimized protocol (Radpour, R., et al. PloS one 6, e27355 (2011)). The quantity of extracted RNA was assessed using a NanoDrop ND-1000 spectrophotometer (Biolab, Mulgrave, VIC, Australia). For each sample, the extracted RNA was used to synthesize cDNA using the High Capacity cDNA Reverse Transcription Kit (AB, CA, USA).
RNA Isolation and Quantitative RT-PCR (qRT-PCR)
[0072] RNA was isolated according the manufacturer's protocol (NucleoSpin RNA XS, Macherey Nagel, Pa., USA) and the expression of genes was analyzed using SYBR Green 2X PCR Master Mix (Roche, N.Y., USA) on a 7500 real-time PCR System (AB Biosystems, CA, USA). Actin or Gapdh genes were used for normalization of the gene expression
Gene Expression Profiling Using Fluidigm Array
[0073] Gene expression profiling was performed with FACS-purified LSKs from chimeric mice 6 weeks after transplantation using the Fluidigm 96.96 Dynamic Array on a BioMark system (Fluidigm, San Francisco, USA) according to the manufacturer's protocol (Wong, C. C., et al. Nature biotechnology 28, 1115-1121 (2010)). Assays were designed based on EvaGreen chemistry and primers for targeting desired pathways were designed accordingly for amplicons of 100-160 bp using Primer3Plus (Untergasser, A., et al. Nucleic acids research 35, W71-74 (2007)). Briefly, FACS-purified LSKs were subjected for total RNA isolation using RNeasy Micro Kit (QIAGEN AG, Basel, Switzerland) according to the optimized protocol (Radpour, R., et al. PloS one 6, e27355 (2011)). The quantity of extracted RNA was assessed using a NanoDrop ND-1000 spectrophotometer (Biolab, Mulgrave, VIC, Australia). For each sample, the extracted RNA was used to synthesize cDNA using the High Capacity cDNA Reverse Transcription Kit (AB, CA, USA). cDNA was pre-amplified with a mix of primers specific to the target genes as the specific target amplification (STA) for 15 cycles. STA products were then diluted fivefold and analyzed with TaqMan Gene Expression Master Mix and EvaGreen DNA binding dye in a 96:96 Fluidigm dynamic array. Ct values were calculated and visualized using BioMark real-time PCR analysis software (Fluidigm, San Francisco, USA). Each assay was performed in replicate.
[0074] Genes with Ct values of higher than 35.0 or differences of ≥1.0 in-between sample replicates were eliminated from the analysis. If the reference genes (Actb and Gapdh) were not expressed or differences of ≥1.0 in-between sample replicates were observed, the sample was not included in the analysis. Raw values were normalized using geometric mean of two reference genes (Actb and Gapdh). The fold difference for each sample was calculated using the comparative Ct method (Livak, K. J. & Schmittgen, T. D. Methods 25, 402-408 (2001)). Relative gene expression quantities after log 2 transformation were used for data analysis. Data were clustered using standard Euclidean's method based on the average linkage. Heatmaps were generated according to the gene expression pattern for each sample.
Cell Signaling and In Silico Pathway Analysis
[0075] Gene networks representing differentially expressed genes were identified using the Ariadne Genomics Pathway Studio database (Elsevier, Berlin, Germany).
Transfection of Human HSPCs with siRNA
[0076] FACS-purified BM HSPCs from patients undergoing a diagnostic BM aspirated that was considered normal by the hematologist and pathologist (healthy donor) or CML patients were cultured in StemSpan medium and transfected with control siRNA (siCTRL) or LTbR targeting siRNA (siLTBR) (SantaCruz Biotechnology, Heidelberg, Germany) using TranslT-X2 (Mirus Bio Muttenz, Switzerland) according to manufacturer's protocol. 24-48h hours after transfection, HSPCs were harvested for further experiments (e.g. CFU-assays and qRT-PCR).
Statistical Analysis
[0077] Statistics were calculated using Prism 7.0 (Graph Prism Software, USA). Unless otherwise noted, Students t-test was used to determine statistical significance. Survival curves were analyzed using a log-rank (Mantel-Cox) test. Data are displayed as mean±SEM. *, P<0.05; **, P<0.01; ***, P<0.001, ****P<0.0001.
Accession Numbers
[0078] Expression data were derived from a public repository for microarray data (GEO) and are available under accession nos. GSE32719, GSE4170 (Pang, W. W., et al. Proceedings of the National Academy of Sciences of the United States of America 108 (50), 20012-20017 (2011)) and GSE11675 (Lemoli, R. M., et al. Blood 114, 5191-5200 (2009)).
Example 1
[0079] First, the inventors analyzed the expression of LTβR on different murine hematopoietic stem/progenitor cell (HSPC) subsets during homeostasis. ImageStreamX analysis of FACS-purified LSKs from BM revealed a strong surface expression of LTβR (
[0080] To analyze the functional relevance of LTβR expressed on hematopoietic cells, the inventors first compared hematopoiesis in naïve BL/6 and Ltbr.sup.−/− mice. BL/6 and Ltbr.sup.−/− mice had similar numbers of LSKs (LT-HSC, ST-HSC, MPPs), lymphoid progenitors (CLPs) and myeloid progenitors (GMP, CMP, MEP) in the BM (
[0081] To study the self-renewal capacity of HSCs, the inventors performed serial transplantations with equal numbers of FACS-purified Ltbr.sup.−/− and Ly5.1 LSKs. This resulted in a comparable reconstitution of HSPCs in the 2.sup.nd transplantation (
Example 2
[0082] LTβR signaling can be induced by LTα, LTβ and LIGHT. Therefore, the inventors analyzed mRNA expression of these ligands in naïve Ly5.1 LSKs and BM niche cells, such as osteoblasts, ECs and MSCs. In addition, FACS-purified Ly5.1 LSKs from chimeras 6 weeks post-transplantation were analyzed (
[0083] The high expression of LIGHT on LSKs prompted us to analyze its role in the maintenance and regulation of HSPCs. Similar to the presented results in Ltbr.sup.−/− mice, the HSPC composition in the BM of naïve BL/6 and Light.sup.−/− mice was comparable. In addition, no differences were found in cell cycle activity and apoptosis rate of LSKs in the absence of Light (data not shown). To further elucidate whether LIGHT induced LTβR signaling regulates LSK colony formation capacity in vitro, the inventors performed a serial re-plating experiment. In line with their findings obtained with Ltbr.sup.−/− LSKs, colony formation capacities of Light.sup.−/− LSKs were gradually lost in serial re-plating experiments in vitro (
[0084] These data indicate that LIGHT expressed by LSKs triggers LTβR in a cell-autonomous fashion and regulates colony formation in vitro. To study the self-renewal capacity of Light.sup.−/− LSKs in vivo, the inventors performed competitive serial repopulation experiments (
[0085] The in vitro re-plating experiments suggest that autocrine LIGHT/LTβR signaling maintains LSK self-renewal. However, Light mRNA was also expressed on osteoblasts. Therefore, the inventors analyzed whether LIGHT-expressing cells of the BM microenvironment contribute to LTβR signaling in HSCs by transplanting Ly5.1 or Light.sup.−/− (Ly5.2.sup.+) LSKs into Ly5.1/Ly5.2 recipients (
Example 3
[0086] In order to study the molecular mechanisms of LTβR-mediated HSC regulation, the inventors performed a gene expression analysis of 93 pre-defined genes involved in the regulation of stem cell function, differentiation and hematopoiesis. Thirty-four genes were differentially expressed between FACS-purified Ly5.1 and Ltbr.sup.−/− LSKs 6 weeks post-transplantation (
[0087] LIGHT-induced LTβR signaling promotes apoptosis. In accordance with these findings, Ltbr-deficient LSKs expressed pro-apoptotic genes at lower levels and anti-apoptotic genes at higher levels compared to Ly5.1 LSKs (
[0088] In order to determine the possible interactions between the 34 differentially expressed genes in Ly5.1 and Ltbr.sup.−/− LSKs, the inventors performed in silico network and canonical pathway analysis. This network analysis confirmed that LTβR directly and indirectly regulates cell cycle, proliferation, apoptosis, and stemness-related pathways (e.g. Wnt, NFκB, regulators of HSC activity and hematopoiesis) (
Example 4
[0089] The inventors next sought to functionally analyze the mechanisms by which LTβR signaling regulates HSC function. To this end, the inventors analyzed cell viability, cell cycle activity and cell division of Ly5.1 and Ltbr.sup.−/− HSCs in chimeric mice. Fewer Ltbr.sup.−/− HSCs but not MPPs underwent apoptosis when compared to LTβR-proficient control cells 6 weeks after transplantation (
[0090] The reconstitution of hematopoiesis in secondary recipient mice requires that LT-HSCs enter active cell cycle and expand in numbers by approximately a factor of 10. To examine cell cycle activity, the inventors FACS-sorted Ly5.1 and Ltbr.sup.−/− LSKs, and stained the LSK subsets with Ki67 and DAPI. Ltbr-deficiency did not affect cell cycle activity in total LSKs. However, analysis of LSK subpopulations revealed that cell cycle activity in LT-HSCs but not in ST-HSCs and MPPs was increased in the absence of LTβR signaling (
[0091] Re-entry of HSCs into cell cycle comprises the control between asymmetric and symmetric division that governs differentiation and maintenance of the stem cell pool. To assess whether LTβR signaling regulates the cell fate decision of HSPCs, the inventors quantified asymmetric and symmetric cell divisions of Ly5.1 and Ltbr.sup.−/− LSKs by analyzing the distribution of the cell fate determinant Numb in daughter cells. Absence of LTβR signaling in LSKs promoted asymmetric over symmetric cell division (
Example 5
[0092] Genotoxic drugs or irradiation leads to the damage and eradication of hematopoietic cells and results in the activation of a demand-adapted hematopoiesis in order to replenish the hematopoietic system. To test hematopoietic reconstitution after genotoxic stress, the inventors treated BL/6 and Ltbr.sup.−/− mice with the cytotoxic agent 5-Fluorouracil (5-FU). Since treatment with 5-FU leads to the down-regulation of c-kit, LSKs were defined as Lin.sup.− sca-1.sup.+ cells and all HSC subsets were defined without c-kit staining. Similar to the transfer of LSKs into irradiated recipient mice (
[0093] To study the number and function of HSCs after 5-FU treatment in vivo, the inventors transplanted BM cells from 5-FU treated Ly5.1 and Ltbr.sup.−/− donors into lethally irradiated Ly5.1/Ly5.2 mice (
Example 6
[0094] So far, the presented data indicated that LTβR signaling regulates HSC cell cycling and self-renewal. Since self-renewal and regulation of cell fate in LSCs is crucial for the development of the disease, the inventors studied LTβR signaling in a murine CML model. CML-like disease was induced by injection of BCR-ABL1-GFP transduced BL/6 or Ltbr.sup.−/− LSKs into non-irradiated BL/6 recipients (
[0095] LSCs expressed Ltbr mRNA at significant higher levels than normal LSKs (
[0096] In order to functionally analyze LSCs from BL/6 and Ltbr.sup.−/− mice, the inventors transplanted either whole BM or FACS-purified LSCs from primary BL/6 and Ltbr.sup.−/− CML mice into non-irradiated BL/6 recipients (
[0097] The percentage of Annexin-Ni LSCs and LSC subsets was comparable in BL/6 and Ltbr.sup.−/− CML mice, suggesting that LTβR signaling did not significantly affect cell viability. However, lack of LTβR increased cell cycle activity with an approximately 2-fold increase of LT-LSCs in G2-M-S phase compared to BL/6 LT-LSCs. In contrast, cell cycle activity of ST-LSCs or MPPs did not depend on LTβR signaling (
Example 7
[0098] The inventors next analyzed the role of LIGHT/LTβR signaling in human HSPCs. LTBR and LIGHT were expressed by human CD34+BM cells on mRNA and on protein level (
[0099] To analyze the expression of LTBR, LTA, LTB and LIGHT in CD34+CML stem/progenitor cells, the inventors took advantage of a public available microarray data set (GEO: GSE11675). While LTA and LTB were similarly expressed in normal and in CML CD34.sup.+cells, LTBR and LIGHT expression was clearly increased in CML samples (
[0100] LTBR knockdown in CD34.sup.+ CML cells resulted in more colonies in the first plating in methylcellulose but fewer colonies in the 2nd re-plating (
Discussion
[0101] In response to an increased demand of blood cells, HSPCs are activated to enter cell cycling, proliferation, differentiation and migration. This activation is regulated by paracrine signals from the HSC niche cells including endothelial cells and BM mesenchymal stromal cells and from immune cells of the BM microenvironment.
[0102] In the present study, the inventors demonstrate that LTβR signaling activated via autocrine LIGHT expression is an important mechanism that regulates cell-cycle activity. Different TNF receptors have been implicated in the regulation of hematopoiesis. TNF-α is a major regulator of demand-adapted hematopoiesis via signaling the p55 TNF receptor 1α (Rebel, V. I. et al. Journal of Experimental Medicine, 190(10), 1493-504 (1999)). In addition, CD70 expressing immune cells regulated HSPCs function and differentiation during infection via CD27 signaling. Similarly to CD27, LTβR signals via TNF receptor-associated factors (TRAFs) 2 and 5 and activates the NFκB pathway. Especially, the non-canonical NF-κB signaling pathway has been implicated in the regulation of HSC self-renewal. However, CD27-deficiency does not influence the self-renewal capacity of HSCs whereas in the present study Ltbr-deficiency in HSPCs leads to decreased self-renewal capacity in vitro and in vivo. This difference may be explained by the regulation of the ligands. CD70 is only expressed on immune cells and subsets of dendritic cells upon activation. In the present study, the inventors found that LIGHT was expressed on HSPCs and on osteoblasts. The in vitro culture experiments with FACS-purified HSCs and the transfer of HSCs to Light.sup.−/− recipients indicated that autocrine LIGHT expression was crucial in the regulation of HSC self-renewal. Importantly, both LTβR and LIGHT are up-regulated upon hematopoietic stress induced by a genotoxic drug or transplantation into irradiated recipient mice. LIGHT is known to be inducible expressed in various immune cell types, depending on the tissue and their activation status.
[0103] LIGHT/LTβR signaling maintained the pool of HSCs and LSCs by reducing cell proliferation and thereby inducing quiescence. The presented gene array analysis indicated a down-regulation of genes involved in cell cycling and proliferation in the absence of LTβR signaling, such as Cdk4 and Cdk6. These cyclin-dependent kinases are known to complex with cyclin D1 to regulate G1/S transition and likely exit HSCs from quiescence. Moreover, the inventors demonstrate that knockdown of LTbR in human HSPCs increase gene expression of cell cycle related genes, such as CCND1. It was found that LTβR signaling promoted asymmetrical of symmetrical cell division, an additional mechanism to maintain the stem cell pool. In accordance with these findings, the expression of the stemness related genes Msi2 and Gfi-1 was increased in the absence of LTβR signaling in murine and in human HSCs.
[0104] Dysregulation in self-renewal mechanism and differentiation promote hematological malignancies. The inventors identified a similar role for LTBR signaling in the maintenance and expansion of CML stem cells by favoring symmetric cell division and reducing differentiation. Therefore, Ltbr-deficiency in LSCs reduced the number of leukemia HSPCs in the bone marrow and prolonged survival. Importantly, mouse and human CML cells express LTBR and LIGHT at higher levels when compared to healthy controls. Knockdown of LTBR in human CML HSPCs resulted in the down-regulation of stemness- and Wnt related genes, such as MSI2, TNIK and CTNNB1. Comparably, CD27 has been shown to induce stemness in LSCs and promote disease progression in CML and AML. Since LSCs are resistant to most of the current treatments, targeting pathways that regulate and maintain LSCs are crucial to advance the treatments for leukemia. Blocking the LIGHT/LTβR pathway may offer a novel strategy to induce differentiation and to eliminate LSCs.