Purpose: Adoptive transfer of natural killer (NK) cells combined with tumor-specific monoclonal antibodies (mAb) has therapeutic potential for malignancies. We determined if large numbers of activated NK (aNK) cells can be grown ex vivo from peripheral blood mononuclear cells (PBMC) of children with high-risk neuroblastoma using artificial antigen-presenting cells (aAPC). Experimental Design: Irradiated K562-derived Clone 9.mbIL21 aAPC were cocultured with PBMC, and propagated NK cells were characterized with flow cytometry, cytotoxicity assays, Luminex multicytokine assays, and a nonobese diabetic/severe combined immunodeficient (NOD/SCID) mouse model of disseminated neuroblastoma. Results: Coculturing patient PBMC with aAPC for 14 days induced 2,363- ± 443-fold expansion of CD56⁺CD3⁻CD14⁻ NK cells with 83% ± 3% purity (n = 10). Results were similar to PBMC from normal donors (n = 5). Expression of DNAM-1, NKG2D, FcγRIII/CD16, and CD56 increased 6- ± 3-, 10- ± 2-, 21- ± 20-, and 18- ± 3-fold, respectively, on day 14 compared with day 0, showing activation of NK cells. In vitro, aNK cells were highly cytotoxic against neuroblastoma cell lines and killing was enhanced with GD2-specific mAb ch14.18. When mediating cytotoxicity with ch14.18, release of TNF-α, granulocyte macrophage colony-stimulating factor, IFN-γ, sCD40L, CCL2/MCP-1, CXCL9/MIG, and CXCL11/I-TAC by aNK cells increased 4-, 5-, 6-, 15-, 265-, 917-, and 363-fold (151–9,121 pg/mL), respectively, compared with aNK cells alone. Survival of NOD/SCID mice bearing disseminated neuroblastoma improved when treated with thawed and immediately intravenously infused cryopreserved aNK cells compared with untreated mice and was further improved when ch14.18 was added. Conclusion: Propagation of large numbers of aNK cells that maintain potent antineuroblastoma activities when cryopreserved supports clinical testing of adoptive cell therapy with ch14.18. Clin Cancer Res; 19(8); 2132–43. ©2013 AACR.

Neuroblastoma cells have been reported to be resistant to death induced by soluble, recombinant forms of tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) (CD253/TNFSF10) because of low or absent expression of caspase-8 and/or TRAIL-receptor 2 (TRAIL-R2/DR5/CD262/TNFRSF10b). However, their sensitivity to membrane-bound TRAIL on natural killer (NK) cells is not known. Comparing microarray gene expression and response to NK cell–mediated cytotoxicity, we observed a correlation between TRAIL-R2 expression and the sensitivity of 14 neuroblastoma cell lines to the cytotoxicity of NK cells activated with interleukin (IL)-2 plus IL-15. Even though most NK cytotoxicity was dependent upon perforin, the cytotoxicity was supplemented by TRAIL in 14 of 17 (82%) neuroblastoma cell lines as demonstrated using an anti-TRAIL neutralizing antibody. Similarly, a recently developed NK cell expansion system employing IL-2 plus lethally irradiated K562 feeder cells constitutively expressing membrane-bound IL-21 (K562 clone 9.mbIL21) resulted in activated NK cells derived from normal healthy donors and neuroblastoma patients that also utilized TRAIL to supplement cytotoxicity. Exogenous interferon-γ upregulated expression of caspase-8 in 3 of 4 neuroblastoma cell lines and increased the contribution of TRAIL to NK cytotoxicity against 2 of the 3 lines; however, relatively little inhibition of cytotoxicity was observed when activated NK cells were treated with an anti-interferon-γ neutralizing antibody. Constraining the binding of anti-TRAIL neutralizing antibody to membrane-bound TRAIL but not soluble TRAIL indicated that membrane-bound TRAIL alone was responsible for essentially all of the supplemental cytotoxicity. Together, these findings support a role for membrane-bound TRAIL in the cytotoxicity of NK cells against neuroblastoma cells.

Brain tumors are the most common solid tumor and the second leading cause of cancer death in individuals aged 19 years and younger in the United States and Canada.¹ Childhood brain tumor incidence varies by country from 1.12 to 5.14 cases per 100 000 persons, with the highest incidence in the United States.¹ With improvements in diagnosis and treatments, 5-year overall survival is greater than 60%.^1,2

We here characterize changes in metabolite patterns in glioblastoma patients undergoing surgery and concurrent chemoradiation using machine learning (ML) algorithms to characterize metabolic changes during different stages of the treatment protocol. We examined 105 plasma specimens (before surgery, 2 days after surgical resection, before starting concurrent chemoradiation, and immediately after chemoradiation) from 36 patients with isocitrate dehydrogenase (IDH) wildtype glioblastoma. Untargeted GC-TOF mass spectrometry-based metabolomics was used given its superiority in identifying and quantitating small metabolites; this yielded 157 structurally identified metabolites. Using Multinomial Logistic Regression (MLR) and GradientBoostingClassifier (GB Classifier), ML models classified specimens based on metabolic changes. The classification performance of these models was evaluated using performance metrics and area under the curve (AUC) scores. Comparing post-radiation to pre-radiation showed increased levels of 15 metabolites: glycine, serine, threonine, oxoproline, 6-deoxyglucose, gluconic acid, glycerol-alpha-phosphate, ethanolamine, propyleneglycol, triethanolamine, xylitol, succinic acid, arachidonic acid, linoleic acid, and fumaric acid. After chemoradiation, a significant decrease was detected in 3-aminopiperidine 2,6-dione. An MLR classification of the treatment phases was performed with 78% accuracy and 75% precision (AUC = 0.89). The alternative GB Classifier algorithm achieved 75% accuracy and 77% precision (AUC = 0.91). Finally, we investigated specific patterns for metabolite changes in highly correlated metabolites. We identified metabolites with characteristic changing patterns between pre-surgery and post-surgery and post-radiation samples. To the best of our knowledge, this is the first study to describe blood metabolic signatures using ML algorithms during different treatment phases in patients with glioblastoma. A larger study is needed to validate the results and the potential application of this algorithm for the characterization of treatment responses.

“The eyes are a window to the brain,” prompting the investigation of whether retinal biomarkers can indicate Alzheimer disease (AD) and cognitive impairment. AD is a neurodegenerative condition with a lengthy preclinical phase where pathologic changes in the central nervous system (CNS) occur before clinical symptoms. Mild cognitive impairment (MCI) often precedes AD. As part of the CNS, the retina exhibits similar pathologic changes related to AD as those seen in the brains of patients with MCI. Noninvasive imaging technologies such as optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) allow high-resolution visualization of the retina, providing an opportunity to screen and monitor AD noninvasively. In this review, we summarize the relationship between AD and retinal pathology detected by OCT and OCTA. The most common findings in patients with AD include peripapillary retinal nerve fiber layer thinning, decreased macular thickness, an enlarged foveal avascular zone, and decreased vascular densities in the superficial and deep capillary plexuses. These retinal changes correlate with magnetic resonance imaging (MRI) findings of cerebral atrophy, positron emission tomography (PET) findings of increased amyloid load, and neuropsychological testing results suggesting cognitive dysfunction. We conclude that retinal microstructural and microvascular abnormalities may serve as biomarkers for the early detection and clinical monitoring of AD and as tools for evaluating potential treatment effects. Future studies should focus on standardizing protocols for in vivo ophthalmic imaging to measure retinal pathology in AD and MCI.

A 29-year-old man presented with rapidly progressive severe neck weakness, asymmetrical bilateral upper extremity weakness, bulbar dysfunction, profound muscle wasting, and weight loss. Within 1 year, his speech became unintelligible, he became gastrostomy- and tracheostomy/ventilator-dependent, and wheelchair bound. Electrophysiology suggested motor neuron disease. Whole exome sequencing revealed a heterozygous pathogenic variant in the fused in sarcoma gene (FUS), c.1574C>T,p. R525L, consistent with autosomal dominant amyotrophic lateral sclerosis. Autopsy revealed extensive denervation atrophy of skeletal musculature. Surprisingly, there was only minimal patchy depletion of motor neurons within the cervico-thoracic spinal cord anterior horn cells, and the tracts were largely preserved. TDP-43 inclusions were absent. Abnormal expression of FUS mutation product (cytoplasmic inclusions) was demonstrated by immunohistochemistry within anterior horn motor neurons. The most prominent finding was a disparity between profound neck weakness and relatively low-grade anterior horn cell loss or tract degeneration in the cervico-thoracic cord.