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Wang X, Guo W, Shi X, Chen Y, Yu Y, Du B, Tan M, Tong L, Wang A, Yin X, Guo J, Martin RC, Bai O, Li Y. S1PR1/S1PR3-YAP signaling and S1P-ALOX15 signaling contribute to an aggressive behavior in obesity-lymphoma. J Exp Clin Cancer Res 2023; 42:3. [PMID: 36600310 PMCID: PMC9814427 DOI: 10.1186/s13046-022-02589-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 12/28/2022] [Indexed: 06/17/2023] Open
Abstract
BACKGROUND Excess body weight has been found to associate with an increased risk of lymphomas and some metabolic pathways are currently recognized in lymphomagenesis. Bioactive lipid metabolites such as sphingosine-1-phosphate (S1P) have been proposed to play an important role linking obesity and lymphomas. However, the underlying mechanism(s) of S1P signaling in obesity-lymphomagenesis have not been well addressed. METHODS The gene expression of sphingosine kinase (SPHK), lymphoma prognosis, and S1P production were analyzed using Gene Expression Omnibus (GEO) and human lymphoma tissue array. Obesity-lymphoma mouse models and lymphoma cell lines were used to investigate the S1P/SPHK-YAP axis contributing to obesity-lymphomagenesis. By using the mouse models and a monocyte cell line, S1P-mediated polarization of macrophages in the tumor microenvironment were investigated. RESULTS In human study, up-regulated S1P/SPHK1 was found in human lymphomas, while obesity negatively impacted progression-free survival and overall survival in lymphoma patients. In animal study, obesity-lymphoma mice showed an aggressive tumor growth pattern. Both in vivo and in vitro data suggested the existence of S1P-YAP axis in lymphoma cells, while the S1P-ALOX15 signaling mediated macrophage polarization towards TAMs exacerbated the lymphomagenesis. In addition, treatment with resveratrol in obesity-lymphoma mice showed profound effects of anti-lymphomagenesis, via down-regulating S1P-YAP axis and modulating polarization of macrophages. CONCLUSION S1P/S1PR initiated the feedback loops, whereby S1P-S1PR1/S1PR3-YAP signaling mediated lymphomagenesis contributing to tumor aggressive growth, while S1P-ALOX15 signaling mediated TAMs contributing to immunosuppressive microenvironment in obesity-lymphoma. S1P-targeted therapy could be potentially effective and immune-enhancive against obesity-lymphomagenesis.
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Affiliation(s)
- Xingtong Wang
- Department of Surgery, School of Medicine, University of Louisville, 511 S Floyd ST MDR Bldg Rm326A, Louisville, KY, 40202, USA
- Department of Hematology, Cancer Center, The First Hospital of Jilin University, No. 71. Xinmin Street, Changchun, 130021, Jilin, China
| | - Wei Guo
- Department of Surgery, School of Medicine, University of Louisville, 511 S Floyd ST MDR Bldg Rm326A, Louisville, KY, 40202, USA
- Department of Hematology, Cancer Center, The First Hospital of Jilin University, No. 71. Xinmin Street, Changchun, 130021, Jilin, China
| | - Xiaoju Shi
- Department of Surgery, School of Medicine, University of Louisville, 511 S Floyd ST MDR Bldg Rm326A, Louisville, KY, 40202, USA
- Department of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, Changchun, 130021, China
| | - Yujia Chen
- Department of Surgery, School of Medicine, University of Louisville, 511 S Floyd ST MDR Bldg Rm326A, Louisville, KY, 40202, USA
- Department of Gastrointestinal Surgery, The First Hospital of Jilin University, Changchun, 130021, China
| | - Youxi Yu
- Department of Surgery, School of Medicine, University of Louisville, 511 S Floyd ST MDR Bldg Rm326A, Louisville, KY, 40202, USA
- Department of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, Changchun, 130021, China
| | - Beibei Du
- Department of Cardiology, China-Japan Union hospital of Jilin University, Changchun, 130033, China
| | - Min Tan
- Department of Surgery, School of Medicine, University of Louisville, 511 S Floyd ST MDR Bldg Rm326A, Louisville, KY, 40202, USA
| | - Li Tong
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China
| | - Anna Wang
- Department of Hematology, Cancer Center, The First Hospital of Jilin University, No. 71. Xinmin Street, Changchun, 130021, Jilin, China
| | - Xianying Yin
- Department of Hematology, Cancer Center, The First Hospital of Jilin University, No. 71. Xinmin Street, Changchun, 130021, Jilin, China
| | - Jing Guo
- Department of Hematology, Cancer Center, The First Hospital of Jilin University, No. 71. Xinmin Street, Changchun, 130021, Jilin, China
| | - Robert C Martin
- Department of Surgery, School of Medicine, University of Louisville, 511 S Floyd ST MDR Bldg Rm326A, Louisville, KY, 40202, USA
| | - Ou Bai
- Department of Hematology, Cancer Center, The First Hospital of Jilin University, No. 71. Xinmin Street, Changchun, 130021, Jilin, China.
| | - Yan Li
- Department of Surgery, School of Medicine, University of Louisville, 511 S Floyd ST MDR Bldg Rm326A, Louisville, KY, 40202, USA.
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Pherez-Farah A, López-Sánchez RDC, Villela-Martínez LM, Ortiz-López R, Beltrán BE, Hernández-Hernández JA. Sphingolipids and Lymphomas: A Double-Edged Sword. Cancers (Basel) 2022; 14:2051. [PMID: 35565181 PMCID: PMC9104519 DOI: 10.3390/cancers14092051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 04/14/2022] [Indexed: 11/24/2022] Open
Abstract
Lymphomas are a highly heterogeneous group of hematological neoplasms. Given their ethiopathogenic complexity, their classification and management can become difficult tasks; therefore, new approaches are continuously being sought. Metabolic reprogramming at the lipid level is a hot topic in cancer research, and sphingolipidomics has gained particular focus in this area due to the bioactive nature of molecules such as sphingoid bases, sphingosine-1-phosphate, ceramides, sphingomyelin, cerebrosides, globosides, and gangliosides. Sphingolipid metabolism has become especially exciting because they are involved in virtually every cellular process through an extremely intricate metabolic web; in fact, no two sphingolipids share the same fate. Unsurprisingly, a disruption at this level is a recurrent mechanism in lymphomagenesis, dissemination, and chemoresistance, which means potential biomarkers and therapeutical targets might be hiding within these pathways. Many comprehensive reviews describing their role in cancer exist, but because most research has been conducted in solid malignancies, evidence in lymphomagenesis is somewhat limited. In this review, we summarize key aspects of sphingolipid biochemistry and discuss their known impact in cancer biology, with a particular focus on lymphomas and possible therapeutical strategies against them.
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Affiliation(s)
- Alfredo Pherez-Farah
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey 64710, Nuevo Leon, Mexico
| | | | - Luis Mario Villela-Martínez
- Facultad de Medicina, Universidad Autónoma de Sinaloa, Culiacán Rosales 80030, Sinaloa, Mexico
- Hospital Fernando Ocaranza, ISSSTE, Hermosillo 83190, Sonora, Mexico
- Centro Médico Dr. Ignacio Chávez, ISSSTESON, Hermosillo 83000, Sonora, Mexico
| | - Rocío Ortiz-López
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey 64710, Nuevo Leon, Mexico
| | - Brady E Beltrán
- Hospital Edgardo Rebagliati Martins, Lima 15072, Peru
- Instituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 1801, Peru
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Anu B, Namitha NN, Harikumar KB. S1PR1 signaling in cancer: A current perspective. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2021; 125:259-274. [PMID: 33931142 DOI: 10.1016/bs.apcsb.2020.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
Sphingosine-1-phosphate receptor 1 (S1PR1) is a G-protein coupled receptor for the bioactive lysosphingolipid sphingosine 1-phosphate (S1P). S1PR1 belongs to the sphingosine-1-phosphate receptor subfamily comprising five members (S1PR1-5). It has prominent roles in regulating endothelial cell cytoskeletal structure, cell migration, immunomodulation, vasculogenesis during embryogenesis, T cell egress and Multiple sclerosis. This review is addressing the role of S1PR1 in tumorigenesis and therapeutic opportunities to target S1PR1 in cancer.
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Affiliation(s)
- B Anu
- Cancer Research Program, Rajiv Gandhi Centre for Biotechnology (RGCB), Thiruvananthapuram, KL, India
| | - N N Namitha
- Cancer Research Program, Rajiv Gandhi Centre for Biotechnology (RGCB), Thiruvananthapuram, KL, India
| | - K B Harikumar
- Cancer Research Program, Rajiv Gandhi Centre for Biotechnology (RGCB), Thiruvananthapuram, KL, India.
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Abstract
Sphingosine-1-phosphate (S1P) can regulate several physiological and pathological processes. S1P signaling via its cell surface receptor S1PR1 has been shown to enhance tumorigenesis and stimulate growth, expansion, angiogenesis, metastasis, and survival of cancer cells. S1PR1-mediated tumorigenesis is supported and amplified by activation of downstream effectors including STAT3, interleukin-6, and NF-κB networks. S1PR1 signaling can also trigger various other signaling pathways involved in carcinogenesis including activation of PI3K/AKT, MAPK/ERK1/2, Rac, and PKC/Ca, as well as suppression of cyclic adenosine monophosphate (cAMP). It also induces immunological tolerance in the tumor microenvironment, while the immunosuppressive function of S1PR1 can also lead to the generation of pre-metastatic niches. Some tumor cells upregulate S1PR1 signaling pathways, which leads to drug resistant cancer cells, mainly through activation of STAT3. This signaling pathway is also implicated in some inflammatory conditions leading to the instigation of inflammation-driven cancers. Furthermore, it can also increase survival via induction of anti-apoptotic pathways, for instance, in breast cancer cells. Therefore, S1PR1 and its signaling pathways can be considered as potential anti-tumor therapeutic targets, alone or in combination therapies. Given the oncogenic nature of S1PR1 and its distribution in a variety of cancer cell types along with its targeting advantages over other molecules of this family, S1PR1 should be considered a favorable target in therapeutic approaches to cancer. This review describes the role of S1PR1 in cancer development and progression, specifically addressing breast cancer, glioma, and hematopoietic malignancies. We also discuss the potential use of S1P signaling modulators as therapeutic targets in cancer therapy.
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Dong H, Wang Q, Zhang G, Li N, Yang M, An Y, Xie L, Li H, Zhang L, Zhu W, Zhao S, Zhang H, Guo X. OSdlbcl: An online consensus survival analysis web server based on gene expression profiles of diffuse large B-cell lymphoma. Cancer Med 2020; 9:1790-1797. [PMID: 31918459 PMCID: PMC7050097 DOI: 10.1002/cam4.2829] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 12/11/2019] [Accepted: 12/26/2019] [Indexed: 12/12/2022] Open
Abstract
Diffuse large B‐cell lymphoma (DLBCL) is the most common subtype of non‐Hodgkin lymphoma (NHL) and is a clinical, pathological, and molecular heterogeneous disease with highly variable clinical outcomes. Currently, valid prognostic biomarkers in DLBCL are still lacking. To optimize targeted therapy and improve the prognosis of DLBCL, the performance of proposed biomarkers needs to be evaluated in multiple cohorts, and new biomarkers need to be investigated in large datasets. Here, we developed a consensus Online Survival analysis web server for Diffuse Large B‐Cell Lymphoma, abbreviated OSdlbcl, to assess the prognostic value of individual gene. To build OSdlbcl, we collected 1100 samples with gene expression profiles and clinical follow‐up information from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. In addition, DNA mutation data were also collected from the TCGA database. Overall survival (OS), progression‐free survival (PFS), disease‐specific survival (DSS), disease‐free interval (DFI), and progression‐free interval (PFI) are important endpoints to reflect the survival rate in OSdlbcl. Moreover, clinical features were integrated into OSdlbcl to allow data stratifications according to the user's special needs. By inputting an official gene symbol and selecting desired criteria, the survival analysis results can be graphically presented by the Kaplan‐Meier (KM) plot with hazard ratio (HR) and log‐rank p value. As a proof‐of‐concept demonstration, the prognostic value of 23 previously reported survival associated biomarkers, such as transcription factors FOXP1 and BCL2, was evaluated in OSdlbcl and found to be significantly associated with survival as reported (HR = 1.73, P < .01; HR = 1.47, P = .03, respectively). In conclusion, OSdlbcl is a new web server that integrates public gene expression, gene mutation data, and clinical follow‐up information to provide prognosis evaluations for biomarker development for DLBCL. The OSdlbcl web server is available at https://bioinfo.henu.edu.cn/DLBCL/DLBCLList.jsp.
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Affiliation(s)
- Huan Dong
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Qiang Wang
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Guosen Zhang
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Ning Li
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Mengsi Yang
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Yang An
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Longxiang Xie
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Huimin Li
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Lu Zhang
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Wan Zhu
- Department of Anesthesia, Stanford University School of Medicine, Stanford, CA, USA
| | - Shuchun Zhao
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Haiyu Zhang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiangqian Guo
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
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Al-Kawaaz M, Sanchez T, Kluk MJ. Evaluation of S1PR1, pSTAT3, S1PR2, FOXP1 Expression in Aggressive, Mature B Cell Lymphomas. J Hematop 2019; 12:57-65. [PMID: 31404445 DOI: 10.1007/s12308-019-00354-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Background Aggressive, mature B-cell lymphomas include Burkitt Lymphoma (BL), High Grade B Cell Lymphomas (HGBL) (eg, Double-Hit B cell lymphomas (HGBL-DH: HGBL with MYC and BCL2 and/or BCL6 translocations)), HGBL, Not Otherwise Specified (HGBL, NOS) and Diffuse Large B Cell Lymphoma (DLBCL). Overlapping morphologic and immunohistochemical features of these lymphomas pose diagnostic challenges in some cases, and better understanding of potential diagnostic biomarkers and possible therapeutic targets is needed. Sphingosine 1 Phosphate Receptors (S1PR1-5) are G-protein coupled receptors that bind S1P and influence migration and survival in multiple cell types, including lymphocytes. S1PRs are emerging as biomarkers in B cell biology and interaction between S1PR pathways and STAT3 or FOXP1 has been reported in DLBCL. Aim and Methods Our aim was to extend the understanding of S1PR1, STAT3 and S1PR2, FOXP1 expression beyond DLBCL, into additional aggressive, mature B cell lymphomas using immunohistochemical expression analysis of human tissue samples. Results S1PR1 and S1PR2 showed different expression patterns in mantle zones and follicle centers in reactive lymphoid tissue. BL showed a unique expression pattern compared to HGBL and DLBCL. Additionally, S1PR1 and S1PR2 expression were typically mutually exclusive and were expressed in a low proportion of cases (frequently HGBL involving extranodal sites). FOXP1 was expressed in a high proportion of various case types and pSTAT3 was detected in a significant proportion of HGBL and DLBCL. Conclusions These findings provide further evidence that S1PR1, pSTAT3, S1PR2 and FOXP1 play a role in a subset of aggressive, mature B cell lymphomas.
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Affiliation(s)
- Mustafa Al-Kawaaz
- Weill Cornell Medicine, Dept. of Pathology and Laboratory Medicine New York, NY, USA
| | - Teresa Sanchez
- Weill Cornell Medicine, Dept. of Pathology and Laboratory Medicine New York, NY, USA.,Weill Cornell Medicine, Dept. of Neuroscience, Brain and Mind Research Institute, New York, NY, USA
| | - Michael J Kluk
- Weill Cornell Medicine, Dept. of Pathology and Laboratory Medicine New York, NY, USA
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Sphingosine-1-phosphate signalling drives an angiogenic transcriptional programme in diffuse large B cell lymphoma. Leukemia 2019; 33:2884-2897. [PMID: 31097785 PMCID: PMC6887546 DOI: 10.1038/s41375-019-0478-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 02/26/2019] [Accepted: 04/01/2019] [Indexed: 12/15/2022]
Abstract
Although the over-expression of angiogenic factors is reported in diffuse
large B-cell lymphoma (DLBCL), the poor response to anti-VEGF drugs observed in
clinical trials suggests that angiogenesis in these tumours might be driven by
VEGF-independent pathways. We show that sphingosine kinase-1 (SPHK1), which
generates the potent bioactive sphingolipid sphingosine-1-phosphate (S1P), is
over-expressed in DLBCL. A meta-analysis of over 2000 cases revealed that genes
correlated with SPHK1 mRNA expression in DLBCL were significantly enriched for
tumour angiogenesis meta-signature genes; an effect evident in both major cell
of origin (COO) and stromal subtypes. Moreover, we found that S1P induces
angiogenic signalling and a gene expression programme that is present within the
tumour vasculature of SPHK1-expressing DLBCL. Importantly, S1PR1 functional
antagonists, including Siponimod, and the S1P neutralising antibody, Sphingomab,
inhibited S1P signalling in DLBCL cells in vitro. Furthermore,
Siponimod, also reduced angiogenesis and tumour growth in an S1P-producing mouse
model of angiogenic DLBCL. Our data define a potential role for S1P signalling
in driving an angiogenic gene expression programme in the tumour vasculature of
DLBCL and suggest novel opportunities to target S1P-mediated angiogenesis in
patients with DLBCL.
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Clinical and functional impact of recurrent S1PR1 mutations in mantle cell lymphoma. Blood Adv 2019; 2:621-625. [PMID: 29549086 DOI: 10.1182/bloodadvances.2017014860] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 02/13/2018] [Indexed: 11/20/2022] Open
Abstract
Key Points
S1PR1 mutations are present in 7.8% of patients with MCL and are significantly more frequent at relapse. S1PR1 mutations reduce expression of the S1PR1 receptor, which mediates migration towards the tissue-to-blood egress factor S1P in MCL.
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Twa DD, Mottok A, Savage KJ, Steidl C. The pathobiology of primary testicular diffuse large B-cell lymphoma: Implications for novel therapies. Blood Rev 2018; 32:249-255. [DOI: 10.1016/j.blre.2017.12.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Revised: 11/19/2017] [Accepted: 12/19/2017] [Indexed: 02/07/2023]
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The role of G protein-coupled receptors in lymphoid malignancies. Cell Signal 2017; 39:95-107. [PMID: 28802842 DOI: 10.1016/j.cellsig.2017.08.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Revised: 08/04/2017] [Accepted: 08/07/2017] [Indexed: 12/20/2022]
Abstract
B cell lymphoma consists of multiple individual diseases arising throughout the lifespan of B cell development. From pro-B cells in the bone marrow, through circulating mature memory B cells, each stage of B cell development is prone to oncogenic mutation and transformation, which can lead to a corresponding lymphoma. Therapies designed against individual types of lymphoma often target features that differ between malignant cells and the corresponding normal cells from which they arise. These genetic changes between tumor and normal cells can include oncogene activation, tumor suppressor gene repression and modified cell surface receptor expression. G protein-coupled receptors (GPCRs) are an important class of cell surface receptors that represent an ideal target for lymphoma therapeutics. GPCRs bind a wide range of ligands to relay extracellular signals through G protein-mediated signaling cascades. Each lymphoma subgroup expresses a unique pattern of GPCRs and efforts are underway to fully characterize these patterns at the genetic level. Aberrations such as overexpression, deletion and mutation of GPCRs have been characterized as having causative roles in lymphoma and such studies describing GPCRs in B cell lymphomas are summarized here.
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Therapeutic potential of targeting sphingosine kinases and sphingosine 1-phosphate in hematological malignancies. Leukemia 2016; 30:2142-2151. [PMID: 27461062 DOI: 10.1038/leu.2016.208] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Revised: 06/24/2016] [Accepted: 07/07/2016] [Indexed: 12/14/2022]
Abstract
Sphingolipids, such as ceramide, sphingosine and sphingosine 1-phosphate (S1P) are bioactive molecules that have important functions in a variety of cellular processes, which include proliferation, survival, differentiation and cellular responses to stress. Sphingolipids have a major impact on the determination of cell fate by contributing to either cell survival or death. Although ceramide and sphingosine are usually considered to induce cell death, S1P promotes survival of cells. Sphingosine kinases (SPHKs) are the enzymes that catalyze the conversion of sphingosine to S1P. There are two isoforms, SPHK1 and SPHK2, which are encoded by different genes. SPHK1 has recently been implicated in contributing to cell transformation, tumor angiogenesis and metastatic spread, as well as cancer cell multidrug-resistance. More recent findings suggest that SPHK2 also has a role in cancer progression. This review is an overview of our understanding of the role of SPHKs and S1P in hematopoietic malignancies and provides information on the current status of SPHK inhibitors with respect to their therapeutic potential in the treatment of hematological cancers.
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