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Efficacy of NK-92 Against Human Multiple Myeloma in a NOD/SCID Gamma Null Mouse Model

2011· article· en· W2979622356 on OpenAlexaff
Brenna Swift, Brent A. Williams, Yoko Kosaka, Joaquín Martínez‐López, Xinghua Wang, Armand Keating

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldChemistry
TopicSynthesis and Biological Evaluation
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsBioluminescence imagingBone marrowNodIn vivoPathologySpleenImmunohistochemistryCell cultureMedicineBiologyLuciferaseImmunologyCancer researchTransfection

Abstract

fetched live from OpenAlex

Abstract Abstract 1854 Introduction: Human NK cell lines NK-92 and KHYG-1 exhibit cytotoxicity against a broad range of tumor types in vitro, including multiple myeloma (MM). To further test efficacy of the NK lines against MM, we developed a bioluminescent mouse model that recapitulates clinical MM using the human U266 MM cell line transduced to express GFP and luciferase (U266eGFPluc) to monitor disease progression in vivo and assess bone marrow (BM) engraftment. Results: In a pilot study in which 2×106 U266 cells were injected intravenously into NOD.Cg-Prkdcscid IL2rgtm1Wjl/SzJ (NSG) mice, CD138+ MM cells engrafted in BM, with no detectable engraftment in the liver, lungs, spleen, heart, or kidneys by anti-CD138 immunohistochemistry staining at 10 weeks. We used the U266eGFPluc bioluminescent NSG mouse model to evaluate efficacy of NK-92 cell therapy in vivo. We gave 10×106 NK-92 cells every 5 days to a total dose of 50×106 cells 7 days after MM injection. Tumor burden was monitored weekly by bioluminescence imaging 4 weeks after MM inoculation using the IVIS Imaging System, and LivingImage™ Software was used to acquire images and quantify bioluminescence. We showed that U266eGFPluc cells localized to BM and spine, reflecting MM pathophysiology. Disease burden in the NK-92 treated group was consistently lower than controls over time and significantly lower at 8 weeks (Dorsal and Ventral Mann-Whitney p=0.0381) whereas for KHYG-1, the signal increased slightly over control, but was not significant at 8 weeks (Mann-Whitney Dorsal p=0.540 and Ventral p=0.247). Clinical disease progression in MM control mice correlated with IVIS signal intensity at week 11 (r2=0.4; F test p=0.0279). Engraftment was determined by sacrificing mice at 10 weeks and analyzing BM for GFP+ cells by flow cytometry. Engraftment of MM cells in BM was as follows (mean+/− SEM): control (5 +/− 1.9%), NK-92 (0.24 +/− 0.19%) and KHYG-1 (5.2 +/− 1.6%) showing a trend toward a significant decrease in mean engraftment for the NK-92 group versus control (unpaired student's t test p=0.055), but not for KHYG-1 (p=0.939). One of 6 control mice had low engraftment with U266eGFPluc at 10 weeks increasing the variance of the control mean. There was a statistically significant decrease in median engraftment in the NK-92 group (Mann-Whitney p=0.019), but not for KHYG-1 (p =0.792) (Figure). GFP BM engraftment corresponded with bioluminescence detected in R and L BM by IVIS. Presence of NK cells in BM was detected in only 1/3 NK-92 mice tested (0.2%) and in none of the KHYG-1 mice at 10 weeks. To assess biodistribution of KHYG-1 we injected 10×106 CFSE-labeled KHYG-1 via tail vein into healthy NSG mice. Blood and organ samples were collected 8 and 24 hours later and analyzed by flow cytometry. We detected CFSE-labeled KHYG-1 primarily in liver, blood and lung, less in kidney, and none in heart, spleen or BM. Conclusion: We have established a human MM cell line xenograft model in NSG mice comparable to clinical disease. Treatment efficacy can be monitored in live NSG mice by IVIS imaging technology and tumor burden at sacrifice can be determined by GFP detection. MM progression was reduced by NK-92, but not KHYG-1 as measured by bioluminescence and reduction of engrafted U266eGFPluc cells. We have shown that a MM xenograft model can screen for in vivo efficacy of immune therapies for MM. Our results indicate that NK-92 is a potentially effective therapy for MM. Disclosures: No relevant conflicts of interest to declare.

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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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.015
Threshold uncertainty score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.072
GPT teacher head0.263
Teacher spread0.191 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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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Citations0
Published2011
Admission routes1
Has abstractyes

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