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Aßfalg M, Güner G, Müller SA, Breimann S, Langosch D, Muhle-Goll C, Frishman D, Steiner H, Lichtenthaler SF. Cleavage efficiency of the intramembrane protease γ-secretase is reduced by the palmitoylation of a substrate's transmembrane domain. FASEB J 2024; 38:e23442. [PMID: 38275103 DOI: 10.1096/fj.202302152r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/20/2023] [Accepted: 01/09/2024] [Indexed: 01/27/2024]
Abstract
The intramembrane protease γ-secretase has broad physiological functions, but also contributes to Notch-dependent tumors and Alzheimer's disease. While γ-secretase cleaves numerous membrane proteins, only few nonsubstrates are known. Thus, a fundamental open question is how γ-secretase distinguishes substrates from nonsubstrates and whether sequence-based features or post-translational modifications of membrane proteins contribute to substrate recognition. Using mass spectrometry-based proteomics, we identified several type I membrane proteins with short ectodomains that were inefficiently or not cleaved by γ-secretase, including 'pituitary tumor-transforming gene 1-interacting protein' (PTTG1IP). To analyze the mechanism preventing cleavage of these putative nonsubstrates, we used the validated substrate FN14 as a backbone and replaced its transmembrane domain (TMD), where γ-cleavage occurs, with the one of nonsubstrates. Surprisingly, some nonsubstrate TMDs were efficiently cleaved in the FN14 backbone, demonstrating that a cleavable TMD is necessary, but not sufficient for cleavage by γ-secretase. Cleavage efficiencies varied by up to 200-fold. Other TMDs, including that of PTTG1IP, were still barely cleaved within the FN14 backbone. Pharmacological and mutational experiments revealed that the PTTG1IP TMD is palmitoylated, which prevented cleavage by γ-secretase. We conclude that the TMD sequence of a membrane protein and its palmitoylation can be key factors determining substrate recognition and cleavage efficiency by γ-secretase.
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Affiliation(s)
- Marlene Aßfalg
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Neuroproteomics, School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Gökhan Güner
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Neuroproteomics, School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Stephan A Müller
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Neuroproteomics, School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Stephan Breimann
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Neuroproteomics, School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Bioinformatics, School of Life Sciences, Technical University of Munich, Freising, Germany
- Biomedical Center (BMC), Division of Metabolic Biochemistry, Faculty of Medicine, LMU Munich, Munich, Germany
| | | | - Claudia Muhle-Goll
- Institute for Biological Interfaces 4, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany
| | - Dmitrij Frishman
- Department of Bioinformatics, School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Harald Steiner
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Biomedical Center (BMC), Division of Metabolic Biochemistry, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Stefan F Lichtenthaler
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Neuroproteomics, School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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Tutino F, Giovannini E, Chiola S, Giovacchini G, Ciarmiello A. Assessment of Response to Immunotherapy in Patients with Hodgkin Lymphoma: Towards Quantifying Changes in Tumor Burden Using FDG-PET/CT. J Clin Med 2023; 12:jcm12103498. [PMID: 37240602 DOI: 10.3390/jcm12103498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 04/25/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023] Open
Abstract
Immune checkpoint inhibitors are currently the standard of care for many advanced solid tumors, and they have been recently approved for the treatment of relapsed/refractory Hodgkin lymphoma and primary mediastinal B cell lymphoma. Assessments of the response to immunotherapy may be complicated by the occurrence of the flare/pseudoprogression phenomenon, consisting of initial tumor enlargement and even the appearance of new lesions, followed by a response, which may initially be indistinguishable from true progression. There have been efforts to characterize and capture the new patterns of response observed during immunotherapy, namely, pseudoprogression and delayed response, and several immune-related response criteria have been proposed. Confirming progression on a subsequent scan and measuring the total tumor burden are both common in immune-related criteria. Due to the peculiarity of hematologic malignancies, lymphoma-specific immune-related criteria have been developed (LYRIC), and they have been evaluated in research studies in comparison to the Lugano Classification. In this review work, we illustrate the evolution of the response criteria in lymphomas from the first CT-based criteria to the development of the PET-based Lugano Classification, further refined to take into account the flare phenomenon encountered during immunotherapy. We also describe the additional contribution of PET-derived volumetric parameters to the interpretation of responses during immunotherapy.
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Affiliation(s)
- Francesca Tutino
- Nuclear Medicine Unit, Ospedale Civile Sant'Andrea, Via Vittorio Veneto 170, 19124 La Spezia, Italy
| | - Elisabetta Giovannini
- Nuclear Medicine Unit, Ospedale Civile Sant'Andrea, Via Vittorio Veneto 170, 19124 La Spezia, Italy
| | - Silvia Chiola
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Giampiero Giovacchini
- Nuclear Medicine Unit, Ospedale Civile Sant'Andrea, Via Vittorio Veneto 170, 19124 La Spezia, Italy
| | - Andrea Ciarmiello
- Nuclear Medicine Unit, Ospedale Civile Sant'Andrea, Via Vittorio Veneto 170, 19124 La Spezia, Italy
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Winkelmann M, Blumenberg V, Rejeski K, Bücklein VL, Ingenerf M, Unterrainer M, Schmidt C, Dekorsy FJ, Bartenstein P, Ricke J, von Bergwelt-Baildon M, Subklewe M, Kunz WG. Staging of lymphoma under chimeric antigen receptor T-cell therapy: reasons for discordance among imaging response criteria. Cancer Imaging 2023; 23:44. [PMID: 37189191 PMCID: PMC10184388 DOI: 10.1186/s40644-023-00566-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 05/06/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND Chimeric antigen receptor T-cell therapy (CART) prolongs survival for patients with refractory or relapsed lymphoma. Discrepancies among different response criteria for lymphoma under CART were recently shown. Our objective was to evaluate reasons for discordance among different response criteria and their relation to overall survival. METHODS Consecutive patients with baseline and follow-up imaging at 30 (FU1) and 90 days (FU2) after CART were included. Overall response was determined based on Lugano, Cheson, response evaluation criteria in lymphoma (RECIL) and lymphoma response to immunomodulatory therapy criteria (LYRIC). Overall response rate (ORR) and rates of progressive disease (PD) were determined. For each criterion reasons for PD were analyzed in detail. RESULTS 41 patients were included. ORR was 68%, 68%, 63%, and 68% at FU2 by Lugano, Cheson, RECIL, and LYRIC, respectively. PD rates differed among criteria with 32% by Lugano, 27% by Cheson, 17% by RECIL, and 17% by LYRIC. Dominant reasons for PD according to Lugano were target lesion (TL) progression (84.6%), new appearing lesions (NL; 53.8%), non-TL progression (27.3%), and progressive metabolic disease (PMD; 15.4%). Deviations among the criteria for defining PD were largely explained by PMD of preexisting lesions that are defined as PD only by Lugano and non-TL progression, which is not defined as PD by RECIL and in some cases classified as indeterminate response by LYRIC. CONCLUSIONS Following CART, lymphoma response criteria show differences in imaging endpoints, especially in defining PD. The response criteria must be considered when interpreting imaging endpoints and outcomes from clinical trials.
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Affiliation(s)
- Michael Winkelmann
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Viktoria Blumenberg
- Laboratory for Translational Cancer Immunology, Gene Center of the LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK) and Bavarian Center for Cancer Research (BZKF), partner site Munich, Munich, Germany
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Kai Rejeski
- Laboratory for Translational Cancer Immunology, Gene Center of the LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK) and Bavarian Center for Cancer Research (BZKF), partner site Munich, Munich, Germany
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Veit L Bücklein
- Laboratory for Translational Cancer Immunology, Gene Center of the LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK) and Bavarian Center for Cancer Research (BZKF), partner site Munich, Munich, Germany
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Maria Ingenerf
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Marcus Unterrainer
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Christian Schmidt
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Franziska J Dekorsy
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Cancer Center München-LMU (CCCM LMU ), LMU Munich, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- Comprehensive Cancer Center München-LMU (CCCM LMU ), LMU Munich, Munich, Germany
| | - Michael von Bergwelt-Baildon
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Cancer Center München-LMU (CCCM LMU ), LMU Munich, Munich, Germany
| | - Marion Subklewe
- Laboratory for Translational Cancer Immunology, Gene Center of the LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK) and Bavarian Center for Cancer Research (BZKF), partner site Munich, Munich, Germany
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Cancer Center München-LMU (CCCM LMU ), LMU Munich, Munich, Germany
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
- Comprehensive Cancer Center München-LMU (CCCM LMU ), LMU Munich, Munich, Germany.
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