155 iPSC-derived NK cells mediate robust anti-tumor activity against glioblastoma
Bibliographic record
Abstract
Background Gliomas represent the most common brain tumors within the central nervous system, with glioblastoma being the most aggressive type.1 Conventional treatment combines several approaches including surgery, chemotherapy, and radiation.2 However, the prognosis for glioblastoma remains unfavorable, with only 5% of patients surviving more than 5 years post-diagnosis.3 Thus, new treatment approaches are urgently needed. Natural killer (NK) cells directly lyse malignantly transformed or virally infected cells and secrete inflammatory cytokines that polarize cytotoxic immunity. Allogeneic NK cell adoptive transfer has shown clinical benefit in patients with advanced cancer.4–7 However, limitations of this approach include relatively low numbers of donor NK cells that can be isolated during an apheresis and variability in the quality of NK cells between donors. To overcome these limitations, we have developed a GMP manufacturing strategy to mass produce NK cells from induced pluripotent stem cells (iPSCs) as an approach to off-the-shelf cancer immunotherapy. We refer to these cells as ‘iNK’ (iPSC-derived NK) cells. Here, we provide preclinical data demonstrating the efficacy of iNK cells for immunotherapy against glioblastoma. Methods We generated iNK cells using previously published methods.8–10 iNK cells were used as effectors against an array of patient-derived glioblastoma lines in 2-dimensional live imaging IncuCyte assays where iNK cell-mediated killing was observed over the course of 48 hours. To investigate iNK cell infiltration and cytotoxicity in a more physiological context that accounts for the 3-dimensional architecture of the tumor, we also performed live imaging IncuCyte assays using iNK cells as effectors against glioblastoma spheroids. To test the anti-tumor function of iNK cells in vivo, we implanted patient-derived glioblastoma cells into mice via intracranial injection. Seven days later, 5 mice received intratumoral injections of iNK cells, and 5 mice received vehicle alone (as a control; figure 1A). All mice were monitored for weight and survival over 100 days. Results iNK cells exhibited strong and sustained cytotoxicity against 6 primary patient-derived mesenchymal glioblastoma lines in 2-dimensional IncuCyte assays and complete infiltration and destruction of glioblastoma spheroids in 3-dimensional IncuCyte assays. In xenogeneic adoptive transfer experiments, all mice receiving intratumoral injections of iNK cells survived out to day 100, while all mice in the vehicle group became moribund and had to be sacrificed by day 60 (figure 1B). Conclusions iNK cells are highly cytotoxic against glioblastoma cells, and our preclinical in vivo data provides proof-of-concept for future clinical trials. Ethics Approval This project has been approved by the University of Minnesota IACUC. Approval ID: 1812-36595A References Louis D N, Perry A, Reifenberger G, von Deimling A, Figarella-Branger D, Cavenee W K, Ohgaki H, Wiestler O D, Kleihues P, Ellison D W. The 2016 world health organization classification of tumors of the central nervous system: a summary. Acta Neuropathol 2016;131:803–820. Stupp R, Mason W P, van den Bent M J, Weller M, Fisher B, Taphoorn M J B, Belanger K, Brandes A A, Marosi C, Bogdahn U, Curschmann J, Janzer R C, Ludwin S K, Gorlia T, Allgeier A, Lacombe D, Cairncross J G, Eisenhauer E, Mirimanoff R O, European Organization for Research and Treatment of Cancer Brain Tumor and Radiotherapy Groups; National Cancer Institute of Canada Clinical Trials Group. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med 2005;352:987–996. Thakkar JP, Dolecek TA, Horbinski C, Ostrom QT, Lightner DD, Barnholz-Sloan JS, Villano JL. Epidemiologic and molecular prognostic review of glioblastoma. Cancer Epidemiol Biomarkers Prev 2017;23:1985–1996. Miller J S, Soignier Y, Panoskaltsis-Mortari A, McNearney S A, Yun G H, Fautsch S K, McKenna D, Le C, Defor T E, Burns L J, Orchard P J, Blazar B R, Wagner J E, Slungaard A, Weisdorf D J, Okazaki J, McGlave P B. Successful adoptive transfer and in vivo expansion of human haploidentical NK cells in patients with cancer. Blood 2005;105:3051–3057. Bachanova V, Cooley S, Defor T E, Verneris M R, Zhang B, McKenna D H, Curtsinger J, Panoskaltsis-Mortari A, Lewis D, Hippen K, McGlave P, Weisdorf D J, Blazar B R, Miller J S. Clearance of acute myeloid leukemia by haploidentical natural killer cells is improved using IL-2 diphtheria toxin fusion protein. Blood 2014;123:3855. Ciurea S O, Schafer J R, Bassett R, Denman C J, Cao K, Willis D, Rondon G, Chen J, Soebbing D, Kaur I, Gulbis A, Ahmed S, Rezvani K, Scpall E J, Lee D A, Champlin R E. Phase 1 clinical trial using mbIL21 ex vivo-expanded donor-derived NK cells after haploidentical transplant. Blood 2017;130:1857–1868. Romee R, Rosario M, Berrien-Elliott M M, Wagner J A, Jewell B A, Schappe T, Leong J W, Abdel-Latif S, Schneider S E, Willey S, Neal C C, Yu L, Oh T, Lee S, Mulder A, Cooper M A, Fehniger T A. Cytokine-induced memory-like natural killer cells exhibit enhanced responses against myeloid leukiemia. Sci Transl Med2016:8;375ra123. Valamehr B, Abujarour R, Robinson M, Le T, Robbins D, Shoemaker D, Flynn P. A novel platform to enable the high-throughput derivation and characterization of feeder-free human iPSCs. Sci Rep2012:2;213. Valamehr B, Robinson M, Abujarour R, Rezner B, Vranceanu F, Le T, Medcalf A, Lee T T, Fitch M, Robbins D, Flynn P. Platform for induction and maintenance of transgene-free hiPSCs resembling ground state pluripotent stem cells. Stem Cell Reports 2014;2:366–381. Zhu H, Blum R H, Bjordahl R, Gaidarova S, Rogers P, Lee T T, Abujarour R, Bonello G B, Wu J, Tsai P-F, Miller J S, Walcheck B, Valamehr B, Kaufman D S. Pluripotent stem cell-derived NK cells with high-affinity noncleavable CD16a mediate improved antitumor immunity. Blood 2020;135:399–410.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".