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Kropivsek K, Kachel P, Goetze S, Wegmann R, Festl Y, Severin Y, Hale BD, Mena J, van Drogen A, Dietliker N, Tchinda J, Wollscheid B, Manz MG, Snijder B. Ex vivo drug response heterogeneity reveals personalized therapeutic strategies for patients with multiple myeloma. Nat Cancer 2023; 4:734-753. [PMID: 37081258 DOI: 10.1038/s43018-023-00544-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 03/17/2023] [Indexed: 04/22/2023]
Abstract
Multiple myeloma (MM) is a plasma cell malignancy defined by complex genetics and extensive patient heterogeneity. Despite a growing arsenal of approved therapies, MM remains incurable and in need of guidelines to identify effective personalized treatments. Here, we survey the ex vivo drug and immunotherapy sensitivities across 101 bone marrow samples from 70 patients with MM using multiplexed immunofluorescence, automated microscopy and deep-learning-based single-cell phenotyping. Combined with sample-matched genetics, proteotyping and cytokine profiling, we map the molecular regulatory network of drug sensitivity, implicating the DNA repair pathway and EYA3 expression in proteasome inhibitor sensitivity and major histocompatibility complex class II expression in the response to elotuzumab. Globally, ex vivo drug sensitivity associated with bone marrow microenvironmental signatures reflecting treatment stage, clonality and inflammation. Furthermore, ex vivo drug sensitivity significantly stratified clinical treatment responses, including to immunotherapy. Taken together, our study provides molecular and actionable insights into diverse treatment strategies for patients with MM.
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Affiliation(s)
- Klara Kropivsek
- Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Paul Kachel
- Department of Medical Oncology and Hematology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Sandra Goetze
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Swiss Multi-Omics Center, PHRT-CPAC, ETH Zurich, Zurich, Switzerland
| | - Rebekka Wegmann
- Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Yasmin Festl
- Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Yannik Severin
- Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Benjamin D Hale
- Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Julien Mena
- Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Audrey van Drogen
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Swiss Multi-Omics Center, PHRT-CPAC, ETH Zurich, Zurich, Switzerland
| | - Nadja Dietliker
- Department of Medical Oncology and Hematology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Joëlle Tchinda
- Pediatric Oncology, Children's Research Centre, University Children's Hospital Zurich, Zurich, Switzerland
| | - Bernd Wollscheid
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Swiss Multi-Omics Center, PHRT-CPAC, ETH Zurich, Zurich, Switzerland
| | - Markus G Manz
- Department of Medical Oncology and Hematology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Comprehensive Cancer Center Zurich (CCCZ), Zurich, Switzerland
| | - Berend Snijder
- Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
- Comprehensive Cancer Center Zurich (CCCZ), Zurich, Switzerland.
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De Luca R, Kachel P, Kropivsek K, Snijder B, Manz MG, Neri D. A novel dual-cytokine-antibody fusion protein for the treatment of CD38-positive malignancies. Protein Eng Des Sel 2019; 31:173-179. [PMID: 29982719 DOI: 10.1093/protein/gzy015] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Accepted: 06/12/2018] [Indexed: 12/17/2022] Open
Abstract
A novel dual-cytokine-antibody fusion protein, consisting of an antibody directed against CD38 [a tumor-associated antigen mainly expressed on the surface of multiple myeloma (MM) cells], simultaneously fused to both tumor necrosis factor ligand superfamily member 10 (TRAIL) and interleukin-2 (IL2), was designed, expressed and purified to homogeneity. The novel fusion protein, termed IL2-αCD38-αCD38-scTRAIL, was able to selectively recognize its cognate antigen expressed on the surface of MM and lymphoma cell lines, as evidenced by flow cytometry analysis. Moreover, the targeted version of TRAIL was able to induce cancer cell death in vitro, both with MM cell lines and with fresh isolates from the bone marrow of MM patients. The experiments provide a rationale for possible future applications of IL2-αCD38-αCD38-scTRAIL for the treatment of patients with MM or other CD38-positive malignancies.
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Affiliation(s)
- Roberto De Luca
- Department of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology (ETH Zürich), Vladimir-Prelog-Weg 4, Zürich, Switzerland
| | - Paul Kachel
- Department of Hematology, University Hospital and University of Zurich, Rämistrasse 100, Zürich, Switzerland
| | - Klara Kropivsek
- Department of Biology, Institute of Molecular System Biology, Swiss Federal Institute of Technology (ETH Zürich), Auguste-Piccard-Hof 1, Zurich, Switzerland
| | - Berend Snijder
- Department of Biology, Institute of Molecular System Biology, Swiss Federal Institute of Technology (ETH Zürich), Auguste-Piccard-Hof 1, Zurich, Switzerland
| | - Markus G Manz
- Department of Hematology, University Hospital and University of Zurich, Rämistrasse 100, Zürich, Switzerland
| | - Dario Neri
- Department of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology (ETH Zürich), Vladimir-Prelog-Weg 4, Zürich, Switzerland
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Schob S, Voigt P, Höhn A, Meyer H, Wickenhauser C, Behrmann C, Kachel P, Dralle H, Hoffmann K, Surov A. Diffusionsbildgebung mittels RESOLVE-DWI bei 3T kann zwischen differenzierten und undifferenzierten Schilddrüsenkarzinomen unterscheiden. ROFO-FORTSCHR RONTG 2017. [DOI: 10.1055/s-0037-1600203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- S Schob
- Uniklinik Leipzig, Klinik und Poliklinik für diagnostische und interventionelle Radiologie, Abt. für Neuroradiologie, Leipzig
| | - P Voigt
- Uniklinik Leipzig, Abteilung für Neuroradiologie, Leipzig
| | - A Höhn
- Uniklinik Leipzig, Pathologie, Leipzig
| | - H Meyer
- Uniklinik Halle, Radiologie, Halle/Saale
| | | | - C Behrmann
- Uniklinik Halle, Radiologie, Halle/Saale
| | - P Kachel
- Hämatologie und Onkologie, Universitätsspital Zürich, Zürich
| | - H Dralle
- Uniklinik Essen, Endokrine Chirurgie, Essen
| | - K Hoffmann
- Uniklinik Leipzig, Abteilung für Neuroradiologie, Leipzig
| | - A Surov
- Uniklinik Leipzig, Diagnostische und interventionelle Radiologie, Leipzig
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Kachel P, Trojanowicz B, Sekulla C, Prenzel H, Dralle H, Hoang-Vu C. Phosphorylation of pyruvate kinase M2 and lactate dehydrogenase A by fibroblast growth factor receptor 1 in benign and malignant thyroid tissue. BMC Cancer 2015; 15:140. [PMID: 25880801 PMCID: PMC4393606 DOI: 10.1186/s12885-015-1135-y] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2014] [Accepted: 02/24/2015] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Lactate dehydrogenase A (LDHA) and Pyruvate Kinase M2 (PKM2) are important enzymes of glycolysis. Both of them can be phosphorylated and therefore regulated by Fibroblast growth factor receptor 1 (FGFR1). While phosphorylation of LDHA at tyrosine10 leads to tetramerization and activation, phosphorylation of PKM2 at tyrosine105 promotes dimerization and inactivation. Dimeric PKM2 is found in the nucleus and regulates gene transcription. Up-regulation and phosphorylation of LDHA and PKM2 contribute to faster proliferation under hypoxic conditions and promote the Warburg effect. METHODS Using western blot and SYBR Green Real time PCR we investigated 77 thyroid tissues including 19 goiter tissues, 11 follicular adenomas, 16 follicular carcinomas, 15 papillary thyroid carcinomas, and 16 undifferentiated thyroid carcinomas for total expression of PKM2, LDHA and FGFR1. Additionally, phosphorylation status of PKM2 and LDHA was analysed. Inhibition of FGFR was performed on FTC133 cells with SU-5402 and Dovitinib. RESULTS All examined thyroid cancer subtypes overexpressed PKM2 as compared to goiter. LDHA was overexpressed in follicular and papillary thyroid cancer as compared to goiter. Elevated phosphorylation of LDHA and PKM2 was detectable in all analysed cancer subtypes. The highest relative phosphorylation levels of PKM2 and LDHA compared to overall expression were found in undifferentiated thyroid cancer. Inhibition of FGFR led to significantly decreased phosphorylation levels of PKM2 and LDHA. CONCLUSIONS Our data shows that overexpression and increased phosphorylation of PKM2 and LHDA is a common finding in thyroid malignancies. Phospho-PKM2 and Phospho-LDHA could be valuable tumour markers for thyroglobulin negative thyroid cancer.
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Affiliation(s)
- Paul Kachel
- Department of General, Visceral and Vascular Surgery, Faculty of Medicine, Martin-Luther-University of Halle-Wittenberg, Halle/Saale, Germany.
| | - Bogusz Trojanowicz
- Department of Internal Medicine II, Faculty of Medicine, Martin-Luther-University of Halle-Wittenberg, Halle/Saale, Germany.
| | - Carsten Sekulla
- Department of General, Visceral and Vascular Surgery, Faculty of Medicine, Martin-Luther-University of Halle-Wittenberg, Halle/Saale, Germany.
| | - Hanna Prenzel
- Department of General, Visceral and Vascular Surgery, Faculty of Medicine, Martin-Luther-University of Halle-Wittenberg, Halle/Saale, Germany.
| | - Henning Dralle
- Department of General, Visceral and Vascular Surgery, Faculty of Medicine, Martin-Luther-University of Halle-Wittenberg, Halle/Saale, Germany.
| | - Cuong Hoang-Vu
- Department of General, Visceral and Vascular Surgery, Faculty of Medicine, Martin-Luther-University of Halle-Wittenberg, Halle/Saale, Germany.
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