Luc Friboulet
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Luc Friboulet has a total of 773 co-authors. Here are the top co-authors by number of shared publications:
- Yohann Loriot
Early Drug Development Department, Gustave Roussy, Villejuif, France
204 shared publications - Benjamin Besse
Department of Cancer Medicine, Gustave Roussy, Villejuif, France
202 shared publications - Ludovic Bigot
Université Paris-Saclay, Gustave Roussy, Inserm U981, Villejuif, France
198 shared publications - Stefan Michiels
Service de Biostatistique Et D’Épidémiologie, Gustave Roussy, Université Paris-Saclay, Villejuif, France
189 shared publications - Lambros Tselikas
Département d’Anesthésie, Chirurgie et Interventionnel (DACI), Service de Radiologie Interventionnelle, Gustave Roussy, Villejuif, France
183 shared publications - Jean-Yves Scoazec
Department of Medical Biology and Pathology, Gustave Roussy, Villejuif, France
172 shared publications
Latest Publications
- Open Access
- 22 September 2026
- Published by Springer Nature in npj Precision Oncology
Decoding drug-tolerant persister states in cancer: insights from single-cell, spatial, and computational approaches
Tyrosine kinase inhibitors (TKIs) have transformed oncogene-driven cancer treatment, but durable responses remain limited by residual disease and acquired resistance. Drug-tolerant persister (DTP) cells represent one therapy-surviving component of minimal residual disease (MRD). This Review examines experimental and computational strategies, including patient-derived xenografts, CRISPR screens, single-cell, spatial, multi-omic and artificial intelligence approaches, to define DTP states, MRD heterogeneity, microenvironmental interactions and clinically actionable vulnerabilities with greater resolution in TKI-treated cancers.
- 22 September 2026
- Published by Springer Nature in npj Precision Oncology
Open AccessDecoding drug-tolerant persister states in cancer: insights from single-cell, spatial, and computational approaches
Tyrosine kinase inhibitors (TKIs) have transformed oncogene-driven cancer treatment, but durable responses remain limited by residual disease and acquired resistance. Drug-tolerant persister (DTP) cells represent one therapy-surviving component of minimal residual disease (MRD). This Review examines experimental and computational strategies, including patient-derived xenografts, CRISPR screens, single-cell, spatial, multi-omic and artificial intelligence approaches, to define DTP states, MRD heterogeneity, microenvironmental interactions and clinically actionable vulnerabilities with greater resolution in TKI-treated cancers.
- 19 June 2026
- Published by Elsevier in European Journal of Cancer
- Vol. 244, 116900
Outcomes of patients treated by FGFR inhibitors according to alteration types: An agnostic monocentric retrospective cohort
- 19 June 2026
- Published by Elsevier in European Journal of Cancer
- Vol. 244, 116900
Outcomes of patients treated by FGFR inhibitors according to alteration types: An agnostic monocentric retrospective cohort
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S1 from Recurrent Resistance Mutations to Lirafugratinib Inform Treatment Sequencing in FGFR2-Driven Tumors
Hallmarks from gene set enrichment analysis (GSEA) of bulk RNA sequencing from tissue biopsies of FGFR inhibitor-naïve patients.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S1 from Recurrent Resistance Mutations to Lirafugratinib Inform Treatment Sequencing in FGFR2-Driven Tumors
Hallmarks from gene set enrichment analysis (GSEA) of bulk RNA sequencing from tissue biopsies of FGFR inhibitor-naïve patients.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S3 from Recurrent Resistance Mutations to Lirafugratinib Inform Treatment Sequencing in FGFR2-Driven Tumors
Clinical and molecular characteristics of FGFR inhibitor-naïve patients experiencing acquired resistance to lirafugratinib with off-target alterations only.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S3 from Recurrent Resistance Mutations to Lirafugratinib Inform Treatment Sequencing in FGFR2-Driven Tumors
Clinical and molecular characteristics of FGFR inhibitor-naïve patients experiencing acquired resistance to lirafugratinib with off-target alterations only.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S3 from Recurrent Resistance Mutations to Lirafugratinib Inform Treatment Sequencing in FGFR2-Driven Tumors
Clinical and molecular evolution of patient ST2726.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S3 from Recurrent Resistance Mutations to Lirafugratinib Inform Treatment Sequencing in FGFR2-Driven Tumors
Clinical and molecular evolution of patient ST2726.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figures S1-S17 from NVL-655 Is a Selective and Brain-Penetrant Inhibitor of Diverse ALK-Mutant Oncoproteins, Including Lorlatinib-Resistant Compound Mutations
Supplementary Figure S1. Chemistry/X-ray. Supplementary Figure S2. Biochemical activity of ALK TKIs. Supplementary Figure S3. Kinome profiling of NVL-655. Supplementary Figure S4. Potency in cell viability assay. Supplementary Figure S5. Maximal effect (Emax) in cell viability assay. Supplementary Figure S6. Cellular activity of NVL-655. Supplementary Figure S7. Comparing NVL-655 and lorlatinib potency. Supplementary Figure S8. Pathway analysis in cell lines. Supplementary Figure S9. Further evidence for on-target activity of NVL-655. Supplementary Figure S10. TRK activity. Supplementary Figure S11. Selectivity for ALK versus TRK using additional assays. Supplementary Figure S12. In vivo studies for ALK fusion with a wild-type kinase domain. Supplementary Figure S13. In vivo studies for ALK fusion with G1202R or I1171N single mutations. Supplementary Figure S14. In vivo studies for ALK fusion with G1202R compound mutations. Supplementary Figure S15. Pharmacodynamic analysis in G1202R compound mutation models. Supplementary Figure S16. Body weight and H&E staining for the YU-1077 intracranial study. Supplementary Figure S17. Estimating TRKB inhibition in humans and mice.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figures S1-S17 from NVL-655 Is a Selective and Brain-Penetrant Inhibitor of Diverse ALK-Mutant Oncoproteins, Including Lorlatinib-Resistant Compound Mutations
Supplementary Figure S1. Chemistry/X-ray. Supplementary Figure S2. Biochemical activity of ALK TKIs. Supplementary Figure S3. Kinome profiling of NVL-655. Supplementary Figure S4. Potency in cell viability assay. Supplementary Figure S5. Maximal effect (Emax) in cell viability assay. Supplementary Figure S6. Cellular activity of NVL-655. Supplementary Figure S7. Comparing NVL-655 and lorlatinib potency. Supplementary Figure S8. Pathway analysis in cell lines. Supplementary Figure S9. Further evidence for on-target activity of NVL-655. Supplementary Figure S10. TRK activity. Supplementary Figure S11. Selectivity for ALK versus TRK using additional assays. Supplementary Figure S12. In vivo studies for ALK fusion with a wild-type kinase domain. Supplementary Figure S13. In vivo studies for ALK fusion with G1202R or I1171N single mutations. Supplementary Figure S14. In vivo studies for ALK fusion with G1202R compound mutations. Supplementary Figure S15. Pharmacodynamic analysis in G1202R compound mutation models. Supplementary Figure S16. Body weight and H&E staining for the YU-1077 intracranial study. Supplementary Figure S17. Estimating TRKB inhibition in humans and mice.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S2 from Recurrent Resistance Mutations to Lirafugratinib Inform Treatment Sequencing in FGFR2-Driven Tumors
Primary resistance to lirafugratinib in FGFR inhibitor-naïve patients.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S2 from Recurrent Resistance Mutations to Lirafugratinib Inform Treatment Sequencing in FGFR2-Driven Tumors
Primary resistance to lirafugratinib in FGFR inhibitor-naïve patients.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S5 from Recurrent Resistance Mutations to Lirafugratinib Inform Treatment Sequencing in FGFR2-Driven Tumors
Differential impact on intracellular signaling exerted by lirafugratinib and futibatinib in FGFR2::BICC1 Ba/F3 with a kinase domain with no mutations (wild-type, WT), and with M538I or L618F mutations.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S5 from Recurrent Resistance Mutations to Lirafugratinib Inform Treatment Sequencing in FGFR2-Driven Tumors
Differential impact on intracellular signaling exerted by lirafugratinib and futibatinib in FGFR2::BICC1 Ba/F3 with a kinase domain with no mutations (wild-type, WT), and with M538I or L618F mutations.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 6 from Recurrent Resistance Mutations to Lirafugratinib Inform Treatment Sequencing in FGFR2-Driven Tumors
In vivo evaluation of lirafugratinib and futibatinib in ST4193 PDX.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 6 from Recurrent Resistance Mutations to Lirafugratinib Inform Treatment Sequencing in FGFR2-Driven Tumors
In vivo evaluation of lirafugratinib and futibatinib in ST4193 PDX.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S1 from Recurrent Resistance Mutations to Lirafugratinib Inform Treatment Sequencing in FGFR2-Driven Tumors
Clinical and molecular evolution of patients pretreated with a FGFR inhibitor before undergoing lirafugratinib.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S1 from Recurrent Resistance Mutations to Lirafugratinib Inform Treatment Sequencing in FGFR2-Driven Tumors
Clinical and molecular evolution of patients pretreated with a FGFR inhibitor before undergoing lirafugratinib.