|
1
|
Verrelle P, Gestraud P, Poyer F, Soria A, Tessier S, Lescure A, Anthony E, Corbé M, Heinrich S, Beauvineau C, Chaput L, Granzhan A, Piguel S, Perez F, Teulade-Fichou MP, Megnin-Chanet F, Del Nery E. Integrated High-Throughput Screening and Large-Scale Isobolographic Analysis to Accelerate the Discovery of Radiosensitizers With Greater Selectivity for Cancer Cells. Int J Radiat Oncol Biol Phys 2024; 118:1294-1307. [PMID: 37778425 DOI: 10.1016/j.ijrobp.2023.09.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 09/15/2023] [Accepted: 09/19/2023] [Indexed: 10/03/2023]
Abstract
PURPOSE High-throughput screening (HTS) platforms have been widely used to identify candidate anticancer drugs and drug-drug combinations; however, HTS-based identification of new drug-ionizing radiation (IR) combinations has rarely been reported. Herein, we developed an integrated approach including cell-based HTS and computational large-scale isobolographic analysis to accelerate the identification of radiosensitizing compounds acting strongly and more specifically on cancer cells. METHODS AND MATERIALS In a 384-well plate format, 160 compounds likely to interfere with the cell response to radiation were screened on human glioblastoma (U251-MG) and cervix carcinoma (ME-180) cell lines, as well as on normal fibroblasts (CCD-19Lu). After drug exposure, cells were irradiated or not and short-term cell survival was assessed by high-throughput cell microscopy. Computational large-scale dose-response and isobolographic approach were used to identify promising synergistic drugs radiosensitizing cancer cells rather than normal cells. Synergy of a promising compound was confirmed on ME-180 cells by an independent 96-well assay protocol, and finally, by the gold-standard colony forming assay. RESULTS We retained 4 compounds synergistic at 2 isoeffects in U251-MG and ME-180 cell lines and 11 compounds synergistically effective in only one cancer cell line. Among these 15 promising radiosensitizers, 5 compounds showed limited toxicity combined or not with IR on normal fibroblasts. CONCLUSIONS Overall, this study demonstrated that HTS chemoradiation screening together with large-scale computational analysis is an efficient tool to identify synergistic drug-IR combinations, with concomitant assessment of unwanted toxicity on normal fibroblasts. It sparks expectations to accelerate the discovery of highly desired agents improving the therapeutic index of radiation therapy.
Collapse
Affiliation(s)
- Pierre Verrelle
- Radiation Oncology Department, Institut Curie Hospital, Paris, France; Chemistry and Modelisation for the Biology of Cancer, CNRS UMR9187, INSERM U1196, Institut Curie, Université Paris Saclay, 91405 Orsay, France.
| | - Pierre Gestraud
- Chemistry and Modelisation for the Biology of Cancer, CNRS UMR9187, INSERM U1196, Institut Curie, Université Paris Saclay, 91405 Orsay, France
| | - Florent Poyer
- Chemistry and Modelisation for the Biology of Cancer, CNRS UMR9187, INSERM U1196, Institut Curie, Université Paris Saclay, 91405 Orsay, France
| | - Adèle Soria
- Biophenics High-Content Screening Laboratory, Department of Translational Research, PSL Research University, PICT-IBiSa, Institut Curie Research Center, Paris, France
| | - Sarah Tessier
- Biophenics High-Content Screening Laboratory, Department of Translational Research, PSL Research University, PICT-IBiSa, Institut Curie Research Center, Paris, France
| | - Aurianne Lescure
- Biophenics High-Content Screening Laboratory, Department of Translational Research, PSL Research University, PICT-IBiSa, Institut Curie Research Center, Paris, France
| | - Elodie Anthony
- Biophenics High-Content Screening Laboratory, Department of Translational Research, PSL Research University, PICT-IBiSa, Institut Curie Research Center, Paris, France
| | - Maxime Corbé
- Biophenics High-Content Screening Laboratory, Department of Translational Research, PSL Research University, PICT-IBiSa, Institut Curie Research Center, Paris, France
| | - Sophie Heinrich
- Experimental Radiotherapy Platform (RadeXp), Translational Research Department, Institut Curie, Orsay, France; Inserm U1021-CNRS UMR 3347, Institut Curie, Paris Saclay University
| | - Claire Beauvineau
- Bioinformatics and Computational Systems Biology of Cancer, PSL Research University, Mines Paris Tech, INSERM U900, Paris, France
| | - Ludovic Chaput
- Bioinformatics and Computational Systems Biology of Cancer, PSL Research University, Mines Paris Tech, INSERM U900, Paris, France
| | - Anton Granzhan
- Bioinformatics and Computational Systems Biology of Cancer, PSL Research University, Mines Paris Tech, INSERM U900, Paris, France
| | - Sandrine Piguel
- Bioinformatics and Computational Systems Biology of Cancer, PSL Research University, Mines Paris Tech, INSERM U900, Paris, France; BioCIS UMR8076, Université Paris-Saclay, Faculté de Pharmacie, Orsay, France
| | - Franck Perez
- Biophenics High-Content Screening Laboratory, Department of Translational Research, PSL Research University, PICT-IBiSa, Institut Curie Research Center, Paris, France; Cell Biology and Cancer UMR144, Institut Curie, PSL Research University, Paris, France
| | - Marie-Paule Teulade-Fichou
- Chemistry and Modelisation for the Biology of Cancer, CNRS UMR9187, INSERM U1196, Institut Curie, Université Paris Saclay, 91405 Orsay, France
| | - Frédérique Megnin-Chanet
- Bioinformatics and Computational Systems Biology of Cancer, PSL Research University, Mines Paris Tech, INSERM U900, Paris, France
| | - Elaine Del Nery
- Biophenics High-Content Screening Laboratory, Department of Translational Research, PSL Research University, PICT-IBiSa, Institut Curie Research Center, Paris, France.
| |
Collapse
|