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155 iPSC-derived NK cells mediate robust anti-tumor activity against glioblastoma

2020· article· en· W3103926827 on OpenAlexaboutno aff
Jeffrey S. Miller, Frank Cichocki, Jianfang Ning, Ryan Bjordahl, Zachary Davis, Katie Tuininga, Hongbo Wang, Paul Rogers, Moyar Ge, Tom Lee, Bob Valamehr, Clark Chen

Bibliographic record

VenueRegular and Young Investigator Award Abstracts · 2020
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsCytotoxic T cellCancer researchImmunotherapyAdoptive cell transferNK-92CytotoxicityPerforinBiologyImmunologyInterleukin 21Immune systemCD8T cellIn vitro

Abstract

fetched live from OpenAlex

<h3>Background</h3> Gliomas represent the most common brain tumors within the central nervous system, with glioblastoma being the most aggressive type.<sup>1</sup> Conventional treatment combines several approaches including surgery, chemotherapy, and radiation.<sup>2</sup> However, the prognosis for glioblastoma remains unfavorable, with only 5% of patients surviving more than 5 years post-diagnosis.<sup>3</sup> 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.<sup>4–7</sup> 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. <h3>Methods</h3> We generated iNK cells using previously published methods.<sup>8–10</sup> 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). <h3>Conclusions</h3> iNK cells are highly cytotoxic against glioblastoma cells, and our preclinical in vivo data provides proof-of-concept for future clinical trials. <h3>Ethics Approval</h3> This project has been approved by the University of Minnesota IACUC. Approval ID: 1812-36595A <h3>References</h3> 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. <i>Acta Neuropathol</i> 2016;<b>131</b>: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. <i>N Engl J Med</i> 2005;<b>352</b>:987–996. Thakkar JP, Dolecek TA, Horbinski C, Ostrom QT, Lightner DD, Barnholz-Sloan JS, Villano JL. Epidemiologic and molecular prognostic review of glioblastoma. <i>Cancer Epidemiol Biomarkers Prev</i> 2017;<b>23</b>: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. <i>Blood</i> 2005;<b>105</b>: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. <i>Blood</i> 2014;<b>123</b>: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. <i>Blood</i> 2017;<b>130</b>: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. <i>Sci Transl Med</i><b>2016</b>: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. <i>Sci Rep</i><b>2012</b>: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. <i>Stem Cell Reports</i> 2014;<b>2</b>: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. <i>Blood</i> 2020;<b>135</b>:399–410.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.031
GPT teacher head0.256
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations3
Published2020
Admission routes1
Has abstractyes

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