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Bertrand M, Szeremeta F, Hervouet-Coste N, Sarou-Kanian V, Landon C, Morisset-Lopez S, Decoville M. An adult Drosophila glioma model to highlight metabolic dysfunctions and evaluate the role of the serotonin 5-HT 7 receptor as a potential therapeutic target. FASEB J 2023; 37:e23230. [PMID: 37781977 DOI: 10.1096/fj.202300783rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 08/31/2023] [Accepted: 09/18/2023] [Indexed: 10/03/2023]
Abstract
Gliomas account for 50% of brain cancers and are therefore the most common brain tumors. Molecular alterations involved in adult gliomas have been identified and mainly affect tyrosine kinase receptors with amplification and/or mutation of the epidermal growth factor receptor (EGFR) and its associated signaling pathways. Several targeted therapies have been developed, but current treatments remain ineffective for glioblastomas, the most severe forms. Thus, it is a priority to identify new pharmacological targets. Drosophila glioma models established in larvae and adults are useful to identify new genes and signaling pathways involved in glioma progression. Here, we used a Drosophila glioma model in adults, to characterize metabolic disturbances associated with glioma and assess the consequences of 5-HT7 R expression on glioma development. First, by using in vivo magnetic resonance imaging, we have shown that expression of the constitutively active forms of EGFR and PI3K in adult glial cells induces brain enlargement. Then, we explored altered cellular metabolism by using high-resolution magic angle spinning NMR and 1 H-13 C heteronuclear single quantum coherence solution states. Discriminant metabolites identified highlight the rewiring of metabolic pathways in glioma and associated cachexia phenotypes. Finally, the expression of 5-HT7 R in this adult model attenuates phenotypes associated with glioma development. Collectively, this whole-animal approach in Drosophila allowed us to provide several rapid and robust phenotype readouts, such as enlarged brain volume and glioma-associated cachexia, as well as to determine the metabolic pathways involved in glioma genesis and finally to confirm the interest of the 5-HT7 R in the treatment of glioma.
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Affiliation(s)
- Marylène Bertrand
- Centre de Biophysique Moléculaire-CBM, UPR 4301, CNRS, Orléans, France
| | | | | | - Vincent Sarou-Kanian
- Conditions Extrêmes et Matériaux: Haute Température et Irradiation-CEMHTI-CNRS UPR 3079, Orléans, France
| | - Céline Landon
- Centre de Biophysique Moléculaire-CBM, UPR 4301, CNRS, Orléans, France
| | | | - Martine Decoville
- Centre de Biophysique Moléculaire-CBM, UPR 4301, CNRS, Orléans, France
- UFR Sciences et Techniques, Université d'Orléans, Orléans, France
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Penet MF, Sharma RK, Bharti S, Mori N, Artemov D, Bhujwalla ZM. Cancer insights from magnetic resonance spectroscopy of cells and excised tumors. NMR IN BIOMEDICINE 2023; 36:e4724. [PMID: 35262263 PMCID: PMC9458776 DOI: 10.1002/nbm.4724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 03/03/2022] [Accepted: 03/04/2022] [Indexed: 06/14/2023]
Abstract
Multinuclear ex vivo magnetic resonance spectroscopy (MRS) of cancer cells, xenografts, human cancer tissue, and biofluids is a rapidly expanding field that is providing unique insights into cancer. Starting from the 1970s, the field has continued to evolve as a stand-alone technology or as a complement to in vivo MRS to characterize the metabolome of cancer cells, cancer-associated stromal cells, immune cells, tumors, biofluids and, more recently, changes in the metabolome of organs induced by cancers. Here, we review some of the insights into cancer obtained with ex vivo MRS and provide a perspective of future directions. Ex vivo MRS of cells and tumors provides opportunities to understand the role of metabolism in cancer immune surveillance and immunotherapy. With advances in computational capabilities, the integration of artificial intelligence to identify differences in multinuclear spectral patterns, especially in easily accessible biofluids, is providing exciting advances in detection and monitoring response to treatment. Metabolotheranostics to target cancers and to normalize metabolic changes in organs induced by cancers to prevent cancer-induced morbidity are other areas of future development.
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Affiliation(s)
- Marie-France Penet
- Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, Baltimore, Maryland, USA
- Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland, USA
| | - Raj Kumar Sharma
- Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, Baltimore, Maryland, USA
| | - Santosh Bharti
- Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, Baltimore, Maryland, USA
| | - Noriko Mori
- Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, Baltimore, Maryland, USA
| | - Dmitri Artemov
- Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, Baltimore, Maryland, USA
- Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland, USA
| | - Zaver M. Bhujwalla
- Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, Baltimore, Maryland, USA
- Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland, USA
- Department of Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Courant F, Maravat M, Chen W, Gosset D, Blot L, Hervouet-Coste N, Sarou-Kanian V, Morisset-Lopez S, Decoville M. Expression of the Human Serotonin 5-HT 7 Receptor Rescues Phenotype Profile and Restores Dysregulated Biomarkers in a Drosophila melanogaster Glioma Model. Cells 2022; 11:1281. [PMID: 35455961 PMCID: PMC9028361 DOI: 10.3390/cells11081281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 03/30/2022] [Accepted: 04/06/2022] [Indexed: 02/01/2023] Open
Abstract
Gliomas are the most common primary brain tumors in adults. Significant progress has been made in recent years in identifying the molecular alterations involved in gliomas. Among them, an amplification/overexpression of the EGFR (Epidermal Growth Factor Receptor) proto-oncogene and its associated signaling pathways have been widely described. However, current treatments remain ineffective for glioblastomas, the most severe forms. Thus, the identification of other pharmacological targets could open new therapeutic avenues. We used a glioma model in Drosophila melanogaster that results from the overexpression of constitutively active forms of EGFR and PI3K specifically in glial cells. We observed hyperproliferation of glial cells that leads to an increase in brain size and lethality at the third instar larval stage. After expression of the human serotonin 5-HT7 receptor in this glioma model, we observed a decrease in larval lethality associated with the presence of surviving adults and a return to a normal morphology of brain for some Drosophila. Those phenotypic changes are accompanied by the normalization of certain metabolic biomarkers measured by High-Resolution Magic Angle Spinning NMR (HR-MAS NMR). The 5-HT7R expression in glioma also restores some epigenetic modifications and characteristic markers of the signaling pathways associated with tumor growth. This study demonstrates the role of the serotonin 5-HT7 receptor as a tumor suppressor gene which is in agreement with transcriptomic analysis obtained on human glioblastomas.
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Affiliation(s)
- Florestan Courant
- Centre de Biophysique Moléculaire—CBM, UPR 4301, CNRS, Rue Charles Sadron, CEDEX 02, F-45071 Orléans, France; (F.C.); (W.C.); (D.G.); (L.B.); (N.H.-C.); (M.D.)
| | - Marion Maravat
- Conditions Extrêmes et Matériaux: Haute Température et Irradiation—CEMHTI-CNRS UPR 3079, CEDEX 02, F-45071 Orléans, France; (M.M.); (V.S.-K.)
| | - Wanyin Chen
- Centre de Biophysique Moléculaire—CBM, UPR 4301, CNRS, Rue Charles Sadron, CEDEX 02, F-45071 Orléans, France; (F.C.); (W.C.); (D.G.); (L.B.); (N.H.-C.); (M.D.)
| | - David Gosset
- Centre de Biophysique Moléculaire—CBM, UPR 4301, CNRS, Rue Charles Sadron, CEDEX 02, F-45071 Orléans, France; (F.C.); (W.C.); (D.G.); (L.B.); (N.H.-C.); (M.D.)
| | - Lauren Blot
- Centre de Biophysique Moléculaire—CBM, UPR 4301, CNRS, Rue Charles Sadron, CEDEX 02, F-45071 Orléans, France; (F.C.); (W.C.); (D.G.); (L.B.); (N.H.-C.); (M.D.)
| | - Nadège Hervouet-Coste
- Centre de Biophysique Moléculaire—CBM, UPR 4301, CNRS, Rue Charles Sadron, CEDEX 02, F-45071 Orléans, France; (F.C.); (W.C.); (D.G.); (L.B.); (N.H.-C.); (M.D.)
| | - Vincent Sarou-Kanian
- Conditions Extrêmes et Matériaux: Haute Température et Irradiation—CEMHTI-CNRS UPR 3079, CEDEX 02, F-45071 Orléans, France; (M.M.); (V.S.-K.)
| | - Séverine Morisset-Lopez
- Centre de Biophysique Moléculaire—CBM, UPR 4301, CNRS, Rue Charles Sadron, CEDEX 02, F-45071 Orléans, France; (F.C.); (W.C.); (D.G.); (L.B.); (N.H.-C.); (M.D.)
| | - Martine Decoville
- Centre de Biophysique Moléculaire—CBM, UPR 4301, CNRS, Rue Charles Sadron, CEDEX 02, F-45071 Orléans, France; (F.C.); (W.C.); (D.G.); (L.B.); (N.H.-C.); (M.D.)
- UFR Sciences et Techniques, Université d’Orléans, 6 Avenue du Parc Floral, F-45100 Orléans, France
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