G S Shukla1, S C Pero1, Y -J Sun1, L Mei1, F Zhang2,3, G Sholler4, D N Krag5. 1. Department of Surgery and University of Vermont Cancer Center, University of Vermont Larner College of Medicine, Burlington, VT, USA. 2. Vermont Genetics Network, University of Vermont, Burlington, VT, USA. 3. Department of Biology, University of Vermont, Burlington, VT, USA. 4. Pediatric Oncology Research, Helen DeVos Children's Hospital, Grand Rapids, MI, USA. 5. Department of Surgery and University of Vermont Cancer Center, University of Vermont Larner College of Medicine, Burlington, VT, USA. David.Krag@uvm.edu.
Abstract
BACKGROUND: T cell therapy for cancer involves genetic introduction of a target-binding feature into autologous T cells, ex vivo expansion and single large bolus administration back to the patient. These reprogrammed T cells can be highly effective in killing cells, but tumor heterogeneity results in regrowth of cells that do not sufficiently express the single antigen being targeted. We describe a cell-based therapy that simultaneously targets multiple tumor-specific antigens. METHODS: High-affinity polyclonal rabbit antibodies were generated against nine different surface-related tumor-specific mutations on B16F10 cells. Unsorted splenic effector cells from syngeneic mice were incubated with a cocktail of the nine anti-B16F10 antibodies. These 'armed' effector cells were used to treat mice previously inoculated with B16F10 melanoma cells. RESULTS: The cocktail of nine antibodies resulted in dense homogeneous binding to histological sections of B16F10 cells. Five treatments with the armed effector cells and PD1 inhibition inhibited tumor growth and improved survival. Shortening the interval of the five treatments from every three days to every day increased survival. Arming effector cells with the four antibodies showing best binding to B16F10 cells even further increased survival. CONCLUSIONS: This study demonstrates that ex vivo arming a mixed population of immune effector cells with antibodies targeting multiple tumor-specific mutated proteins in conjunction with PD1 inhibition delayed tumor growth and prolonged survival in mice inoculated with an aggressive melanoma. A remarkably low total antibody dose of less than 5 µg was sufficient to accomplish tumor inhibition. Scaling up to clinical level may be feasible.
BACKGROUND: T cell therapy for cancer involves genetic introduction of a target-binding feature into autologous T cells, ex vivo expansion and single large bolus administration back to the patient. These reprogrammed T cells can be highly effective in killing cells, but tumor heterogeneity results in regrowth of cells that do not sufficiently express the single antigen being targeted. We describe a cell-based therapy that simultaneously targets multiple tumor-specific antigens. METHODS: High-affinity polyclonal rabbit antibodies were generated against nine different surface-related tumor-specific mutations on B16F10 cells. Unsorted splenic effector cells from syngeneic mice were incubated with a cocktail of the nine anti-B16F10 antibodies. These 'armed' effector cells were used to treat mice previously inoculated with B16F10melanoma cells. RESULTS: The cocktail of nine antibodies resulted in dense homogeneous binding to histological sections of B16F10 cells. Five treatments with the armed effector cells and PD1 inhibition inhibited tumor growth and improved survival. Shortening the interval of the five treatments from every three days to every day increased survival. Arming effector cells with the four antibodies showing best binding to B16F10 cells even further increased survival. CONCLUSIONS: This study demonstrates that ex vivo arming a mixed population of immune effector cells with antibodies targeting multiple tumor-specific mutated proteins in conjunction with PD1 inhibition delayed tumor growth and prolonged survival in mice inoculated with an aggressive melanoma. A remarkably low total antibody dose of less than 5 µg was sufficient to accomplish tumor inhibition. Scaling up to clinical level may be feasible.
Authors: Hanke L Matlung; Liane Babes; Xi Wen Zhao; Michel van Houdt; Louise W Treffers; Dieke J van Rees; Katka Franke; Karin Schornagel; Paul Verkuijlen; Hans Janssen; Pasi Halonen; Cor Lieftink; Roderick L Beijersbergen; Jeanette H W Leusen; Jaap J Boelens; Ingrid Kuhnle; Jutte van der Werff Ten Bosch; Karl Seeger; Sergio Rutella; Daria Pagliara; Takashi Matozaki; Eiji Suzuki; Catharina Willemien Menke-van der Houven van Oordt; Robin van Bruggen; Dirk Roos; Rene A W van Lier; Taco W Kuijpers; Paul Kubes; Timo K van den Berg Journal: Cell Rep Date: 2018-06-26 Impact factor: 9.423
Authors: Alexandra Snyder; Vladimir Makarov; Taha Merghoub; Jianda Yuan; Jedd D Wolchok; Timothy A Chan; Jesse M Zaretsky; Alexis Desrichard; Logan A Walsh; Michael A Postow; Phillip Wong; Teresa S Ho; Travis J Hollmann; Cameron Bruggeman; Kasthuri Kannan; Yanyun Li; Ceyhan Elipenahli; Cailian Liu; Christopher T Harbison; Lisu Wang; Antoni Ribas Journal: N Engl J Med Date: 2014-11-19 Impact factor: 91.245
Authors: Lili Wang; Michael S Lawrence; Youzhong Wan; Petar Stojanov; Carrie Sougnez; Kristen Stevenson; Lillian Werner; Andrey Sivachenko; David S DeLuca; Li Zhang; Wandi Zhang; Alexander R Vartanov; Stacey M Fernandes; Natalie R Goldstein; Eric G Folco; Kristian Cibulskis; Bethany Tesar; Quinlan L Sievers; Erica Shefler; Stacey Gabriel; Nir Hacohen; Robin Reed; Matthew Meyerson; Todd R Golub; Eric S Lander; Donna Neuberg; Jennifer R Brown; Gad Getz; Catherine J Wu Journal: N Engl J Med Date: 2011-12-12 Impact factor: 91.245
Authors: John C Castle; Sebastian Kreiter; Jan Diekmann; Martin Löwer; Niels van de Roemer; Jos de Graaf; Abderraouf Selmi; Mustafa Diken; Sebastian Boegel; Claudia Paret; Michael Koslowski; Andreas N Kuhn; Cedrik M Britten; Christoph Huber; Ozlem Türeci; Ugur Sahin Journal: Cancer Res Date: 2012-01-11 Impact factor: 12.701
Authors: S A Rosenberg; B S Packard; P M Aebersold; D Solomon; S L Topalian; S T Toy; P Simon; M T Lotze; J C Yang; C A Seipp Journal: N Engl J Med Date: 1988-12-22 Impact factor: 91.245
Authors: A J Robert McGray; Robin Hallett; Dannie Bernard; Stephanie L Swift; Ziqiang Zhu; Florentina Teoderascu; Heather Vanseggelen; John A Hassell; Arthur A Hurwitz; Yonghong Wan; Jonathan L Bramson Journal: Mol Ther Date: 2013-10-23 Impact factor: 11.454