No abstract

Amyotrophic lateral sclerosis (ALS) is a fatal disease characterized by degeneration of motor neurons and muscles, and death is usually a result of impaired respiratory function due to loss of motor neurons that control upper airway muscles and/or the diaphragm. Currently, no cure for ALS exists and treatments to date do not significantly improve respiratory or swallowing function. One cause of ALS is a mutation in the superoxide dismutase-1 (SOD1) gene; thus, reducing expression of the mutated gene may slow the progression of the disease. Our group has been studying the SOD1 G93A transgenic mouse model of ALS that develops progressive respiratory deficits and dysphagia. We hypothesize that solely treating the tongue in SOD1 mice will preserve respiratory and swallowing function, and it will prolong survival. At 6 weeks of age, 11 SOD1 G93A mice (both sexes) received a single intralingual injection of gene therapy (AAVrh10-miR SOD1). Another 29 mice (both sexes) were divided into two control groups: (1) 12 SOD1 G93A mice that received a single intralingual vehicle injection (saline); and (2) 17 non-transgenic littermates. Starting at 13 weeks of age, plethysmography (respiratory parameters) at baseline and in response to hypoxia (11% O 2) + hypercapnia (7% CO 2) were recorded and videofluoroscopic swallow study testing were performed twice monthly until end-stage disease. Minute ventilation during hypoxia + hypercapnia and mean inspiratory flow at baseline were significantly reduced (p < 0.05) in vehicle-injected, but not AAVrh10-miR SOD1-injected SOD1 G93A mice as compared with wild-type mice. In contrast, swallowing function was unchanged by AAVrh10-miR SOD1 treatment (p > 0.05). AAVrh10-miR SOD1 injections also significantly extended survival in females by *1 week. In conclusion, this study indicates that intralingual AAVrh10-miR SOD1 treatment preserved respiratory (but not swallowing) function potentially via increasing upper airway patency, and it is worthy of further exploration as a possible therapy to preserve respiratory capacity in ALS patients.

Representative models are needed to screen new therapies for patients with cancer. Cancer organoids are a leap forward as a culture model that faithfully represents the disease. Mouse-derived cancer organoids (MDCOs) are becoming increasingly popular, however there has yet to be a standardized method to assess therapeutic response and identify subpopulation heterogeneity. There are multiple factors unique to organoid culture that could affect how therapeutic response and MDCO heterogeneity are assessed. Here we describe an analysis of nearly 3500 individual MDCOs where individual organoid morphologic tracking was performed. Change in MDCO diameter was assessed in the presence of control media or targeted therapies. Individual organoid tracking was identified to be more sensitive to treatment response than well-level assessment. The impact of different generations of mice of the same genotype, different regions of the colon, and organoid specific characteristics including baseline size, passage number, plating density, and location within the matrix were examined. Only the starting size of the MDCO altered the subsequent growth. These results were corroborated using ~ 1700 patient-derived cancer organoids (PDCOs) isolated from 19 patients. Here we establish organoid culture parameters for individual organoid morphologic tracking to determine therapeutic response and growth/response heterogeneity for translational studies.

Background: Patient-derived cancer organoids (PDCOs) are emerging as an in vitro model to recapitulate the molecular and phenotypic features of colorectal cancer (CRC). Heterogeneity in established CRC PDCOs has been observed in the underlying molecular profiles and growth characteristics at the individual organoid level. Here, we present a dedicated assessment of individual organoid growth as a function of experimental culture parameters. Methods: CRC PDCO cultures were established from patient biopsy/resection specimens following patient consent to an IRB-approved protocol. Growth was assessed by relative change in diameter at 48h. Baseline size was compared to relative growth at 48h using coefficient of determination (R). Interquartile sets were compared by effect size of Glass's Delta (GΔ) to compare change difference in average growth normalized to standard deviation and defined with significance 1.0. Impact of density was assessed by manual count of spheroids and lines plated across varied densities and compared to 48h relative growth. Growth rates were compared as both absolute and relative passage number. Results: 22 unique cultures were established from fresh tissue and representative of CRC including pathologic alterations in APC, KRAS, NRAS, BRAF, PIK3CA TP53, MTOR and PTEN. Pairwise spheres were assessed at baseline and 48h for analysis (n=1714) with mean relative growth rate of 27.1% (range -40.0, 156.2%). Baseline size did not predict relative growth at 48h (R=0.023) with insignificant interquartile effect size [0.10, 0.07, 0.32]. Replicates (n=63) across a range of passages [1, 36] including line-specific relative passage number [0-14] did not predict change in relative growth (R&lt;0.001) with insignificant interquartile effect size [-0.02, 0.15, 0.19]. Fields of view (n=135) were assessed for absolute sphere number [1, 72]. Increased sphere density across cultures also did not predict change in relative growth (R=0.002) with insignificant interquartile effect size [-0.29, -0.32, -0.29]. Two individual cultures were assessed for the impact of density on respective growth without significance at relative plating ratios of 1:5 (GΔ=-0.52, 0.42), 1:10 (GΔ=-0.63, 0.07), and 1:50 (GΔ=-0.40, 0.12). Conclusions: Following culture maturation, CRC PDCOs have heterogeneous growth rates at the organoid level. These studies demonstrate that the growth rate is independent of baseline organoid size, passage number, or culture plating density. Understanding the effect of culture variation helps to define meaningful population effects in response and resistance to therapy and supports the translation of this technology as a future predictive biomarker. Citation Format: Aishwarya Sunil, Jeremy D. Kratz, Sarbjeet K. Makkar, Suhjah Rehman, Amani A. Gillette, Katherine A. Johnson, Cheri A. Pasch, Linda Clipson, Kristina A. Matkowskyj, Melissa C. Skala, Dustin A. Deming. Etiologies of patient-derived colorectal cancer organoid growth heterogeneity across multiple patient samples and culture conditions [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1494.