Citations

10017 Background: In preclinical models, temozolomide (TMZ) and vincristine (VCR) are synergistic with irinotecan (IRN). We sought to determine the dose limiting toxicities (DLTs) and maximum tolerated dose (MTD) of orally administered IRN given on two different schedules together with TMZ and VCR in children with refractory solid tumors, using cefixime to reduce IRN-associated diarrhea. Methods: Schedule A: Oral IRN daily for 5 days for 2 weeks (dx5x2), with VCR 1.5 mg/m2 on days 1 and 8 and TMZ 100 mg/m2 on days 1 - 5. Schedule B: Oral IRN daily for 5 days for 1 week (dx5x1) with VCR 1.5 mg/m2 on day 1 and TMZ 100 - 150 mg/m2 on days 1 - 5. Courses were repeated every 3 weeks. A standard cohorts of 3 + 3 design was used. Results: On Schedule A, 18 evaluable patients (median age 15 yrs, range 3 - 21) received 55 courses. At IRN 50 mg/m2/day, 4/12 pts had DLT (hepatotoxicity, abdominal pain, anorexia, hypokalemia, and thrombocytopenia). The oral IRN MTD on this dx5x2 schedule was 35 mg/m2/d (1/6 pts with DLT of hypoalbuminemia). On Schedule B, 18 evaluable patients (median age 9 yrs, range 3–21) received 71 courses of oral IRN 70 - 90 mg/m2/d x 5 with TMZ 100 - 150 mg/m2/d x 5. At oral IRN 90 mg/m2/d with TMZ 150 mg/m2/d, 0/6 pts had DLT, and no Grade 4 toxicities were seen. No further doses were explored. First-course and cumulative toxicity appeared worse with Schedule A, including 3 patients with responding or stable tumors who withdrew due to fatigue, nausea, and weight loss. UGT1A1*28genotype did not correlate with DLT. At the oral IRN MTD of 90 mg/m2/d, the median SN-38 AUCinf was 72 ng/ml*h. One patient with osteosarcoma had a confirmed partial response. Unconfirmed complete and partial responses were seen in 2 Ewing sarcoma patients. Eight additional patients received > 6 courses, including 2 each with neuroblastoma and medulloblastoma. Conclusions: The dx5x1 schedule of VOIT was well tolerated, with SN-38 exposures similar to those achieved with intravenous IRN. Activity on this and prior studies suggests a potential role for VOIT in sarcoma patients. No significant financial relationships to disclose.

One key bottleneck in understanding the human genome is the relative under-characterization of 90% of protein coding regions. We report a collection of 1200 transgenic zebrafish strains made with the gene-break transposon (GBT) protein trap to simultaneously report and reversibly knockdown the tagged genes. Protein trap-associated mRFP expression shows previously undocumented expression of 35% and 90% of cloned genes at 2 and 4 days post-fertilization, respectively. Further, investigated alleles regularly show 99% gene-specific mRNA knockdown. Homozygous GBT animals in ryr1b , fras1 , tnnt2a , edar and hmcn1 phenocopied established mutants. 204 cloned lines trapped diverse proteins, including 64 orthologs of human disease-associated genes with 40 as potential new disease models. Severely reduced skeletal muscle Ca 2+ transients in GBT ryr1b homozygous animals validated the ability to explore molecular mechanisms of genetic diseases. This GBT system facilitates novel functional genome annotation towards understanding cellular and molecular underpinnings of vertebrate biology and human disease.

Weight gain or loss is determined by the difference between calorie intake and energy expenditure. The Mifflin metabolic equation most accurately predicts resting energy expenditure (REE) in morbidly obese patients. Hypometabolizers have a measured REE that is much less than predicted and pose the greatest challenge for weight loss induced by restriction of calorie intake. We studied 628 morbidly obese patients (467 female and 161 men, aged 52.5 ± 15.7 years, body mass index [BMI] of 42.6 ± 7.6 m/kg 2 [mean ± SD]). REE was measured using the MedGem® device (REEm) and the percentage variance (δREE%) from the Mifflin-predicted expenditure (REEp) was calculated. Patients with δREE% more than 1 standard deviation from the mean were defined as hypometabolizers (REEm greater than 27% below REEp) and hypermetabolizers (REEm less than 13% above REEp), respectively. Hypometabolizers had greater REEp (1900 ± 301 vs 1719 ± 346 calories, P = 0.005) and lower REEm (1244 ± 278 vs 2161 ± 438 calories, P < 0.0001) than hypermetabolizers. Hypometabolizers, when compared with hypermetabolizers, were taller (167.2 ± 8.4 vs 164.0 ± 10.9 cm, P = 0.04), heavier (123.6 ± 22.2 vs 110.2 ± 23.1 kg, P = 0.006), and had increased BMI (44.1 ± 6.5 vs 40.8 ± 6.5 kg/m 2 , P = 0.04). Other measured anthropometrics were not different between hypo- and hypermetabolizers. Hypometabolizers were less likely to be diabetic (23 vs 43%, P = 0.03) and more likely to be black (25 vs 5%, P = 0.002) than hypermetabolizers. This study defines hypometabolizers as having variance in REEm more than 27 per cent below that predicted by the Mifflin equation. We could not identify any distinguishing phenotypic characteristics of hypometabolizers, suggesting an influence unrelated to body composition.

The objective of this study was to examine whether preoperative recommendation for specific reductions in body mass index (BMI) influenced weight loss in obese surgical patients. We retrospectively reviewed the electronic medical records of 48 patients who enrolled between January 2007 to June 2010 in an 800-calorie per day liquid meal replacement (LMR) weight loss program. Of these, 9 patients (surgical group) enrolled as a result of general surgeon-directed weight loss to enable nonbariatric surgery and 39 enrolled seeking weight loss (medical group). Patients enrolled in the LMR program before bariatric surgery were excluded from analysis. All patients were seen in the setting of a comprehensive weight loss program supervised by a medical bariatrician and followed for a period of 4 months. There were no significant differences in mean initial BMI between surgical and medical patients (41.7 ± 4.55 and 41.6 ± 8.54 kg/m 2 , respectively) or participation time in the weight loss program (120 days vs 133 days). Of the nine surgical patients, only five (56%) reached their weight goal and underwent the planned surgical procedure. Weight loss was significantly less in the surgical compared with medical patients (BMI reduction 4.03 ± 3.99 vs 7.75 ± 4.90 kg/m 2 , respectively; P < 0.05). Weight loss was significantly lower in patients directed to undergo BMI reduction to enable a general surgical procedure. Future studies are needed to assess factors influencing weight loss (metabolism, exercise capacity, motivation) in patients requiring weight loss to enable a surgical procedure.

Background and Purpose: Periventricular white matter hyperintensities (WMH; PVWMH) and deep WMH (DWMH) are regional classifications of WMH and reflect proposed differences in cause. In the first study, to date, we undertook genome-wide association analyses of DWMH and PVWMH to show that these phenotypes have different genetic underpinnings. Methods: Participants were aged 45 years and older, free of stroke and dementia. We conducted genome-wide association analyses of PVWMH and DWMH in 26,654 participants from CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology), ENIGMA (Enhancing Neuro-Imaging Genetics Through Meta-Analysis), and the UKB (UK Biobank). Regional correlations were investigated using the genome-wide association analyses -pairwise method. Cross-trait genetic correlations between PVWMH, DWMH, stroke, and dementia were estimated using LDSC. Results: In the discovery and replication analysis, for PVWMH only, we found associations on chromosomes 2 ( NBEAL ), 10q23.1 ( TSPAN14/FAM231A ), and 10q24.33 ( SH3PXD2A). In the much larger combined meta-analysis of all cohorts, we identified ten significant regions for PVWMH: chromosomes 2 (3 regions), 6, 7, 10 (2 regions), 13, 16, and 17q23.1. New loci of interest include 7q36.1 ( NOS3 ) and 16q24.2. In both the discovery/replication and combined analysis, we found genome-wide significant associations for the 17q25.1 locus for both DWMH and PVWMH. Using gene-based association analysis, 19 genes across all regions were identified for PVWMH only, including the new genes: CALCRL (2q32.1), KLHL24 (3q27.1), VCAN (5q27.1), and POLR2F (22q13.1). Thirteen genes in the 17q25.1 locus were significant for both phenotypes. More extensive genetic correlations were observed for PVWMH with small vessel ischemic stroke. There were no associations with dementia for either phenotype. Conclusions: Our study confirms these phenotypes have distinct and also shared genetic architectures. Genetic analyses indicated PVWMH was more associated with ischemic stroke whilst DWMH loci were implicated in vascular, astrocyte, and neuronal function. Our study confirms these phenotypes are distinct neuroimaging classifications and identifies new candidate genes associated with PVWMH only.

Efficient precision genome engineering requires high frequency and specificity of integration at the genomic target site. Here, we describe a set of resources to streamline reporter gene knock-ins in zebrafish and demonstrate the broader utility of the method in mammalian cells. Our approach uses short homology of 24–48 bp to drive targeted integration of DNA reporter cassettes by homology-mediated end joining (HMEJ) at high frequency at a double strand break in the targeted gene. Our vector series, pGTag (plasmids for Gene Tagging), contains reporters flanked by a universal CRISPR sgRNA sequence which enables in vivo liberation of the homology arms. We observed high rates of germline transmission (22–100%) for targeted knock-ins at eight zebrafish loci and efficient integration at safe harbor loci in porcine and human cells. Our system provides a straightforward and cost-effective approach for high efficiency gene targeting applications in CRISPR and TALEN compatible systems.

18585 Background: The Quality of life (QOL) and psychosocial needs of the 30–40% of prostate cancer patients who experience biochemical recurrence are not known. The impact of having a rising PSA, anticipation of undergoing PSA testing, and living with prostate cancer may increase psychological distress and decrease QOL. Aim: to evaluate the psychosocial treatment needs of men with biochemical recurrence of prostate cancer (br-PCa) and to develop a treatment to address these needs. Methods: 28 men with br-PCa, 58–87 years, were enrolled. A qualitative research approach was used, consisting of six, 2 hour, semi-structured, focus groups containing 4–6 men per group. Data were content coded and grouped into categories following the structure of the focus group guide. The major conceptual themes were then summarized by 2 independent reviewers. Discrepancies were discussed with a third researcher until a consensus was reached. These results were used to guide development of a multi-disciplinary quality of life intervention. Results: Participants defined QOL as the ability to stay active both physically and mentally without limitation in the performance of usual activities. There was a consensus that prostate cancer led to substantial anxiety related to PSA testing, treatment side effects, and fear of recurrence. Participants were enthusiastic about receiving adjuvant multidisciplinary treatment for prostate cancer focusing on anxiety management, nutrition, exercise, management of treatment side effects, and medical education. Participants desired a male group leader and feedback was mixed regarding whether spouses should be involved. Conclusions: Men with br-PCa report experiencing substantial anxiety and were enthusiastic about receiving a structured intervention to these needs. Based on our findings an intervention has been developed and is currently being compared to usual care. No significant financial relationships to disclose.

Abstract Background: Endx is a Tam metabolite with promising antitumor activity in Tam and aromatase inhibitor (AI) resistant estrogen receptor (ER) positive (+) metastatic breast cancer (MBC). Methods: This randomized phase II study compared progression-free survival (PFS) and toxicity of Endx 80 mg/day to Tam 20 mg/day in patients (pts) with ER+ MBC. Eligibility included postmenopausal women, ECOG PS 0-2, prior progression on AI but not Tam (unlimited endocrine therapy [ET] lines allowed), and a preregistration biopsy confirming ER+ (&gt;10% nuclear staining) and HER2-negative MBC. Stratified randomization was used balancing prior CDK 4/6 inhibitor (CDK 4/6i) use and/or everolimus (yes/no), measurable disease (yes/no) and endocrine resistance (primary/secondary) between arms. Pts randomized to Tam were allowed to cross over to Endx at progression. Due to short expected median PFS, differences in PFS were assessed using approaches for interval-censored data (ICD). 40 eligible pts were to be randomized to each arm so a one-sided alpha=0.10 generalized log-rank test (GLRT) would have a 90% chance of detecting a 50% decrease in hazard of disease progression with Endx (median: 6 months) relative to Tam (median: 3 months). Secondary endpoints include clinical benefit rate (stable or partial response &gt; 6 cycles) (CBR) for measurable and non-measurable disease. Pharmacokinetic (PK) data were obtained Day (d) 1 (4 hour), end of cycle 2, and at time of progression. Results: From March 2015 to March 2017, 108 women with endocrine refractory recurrent or MBC were preregistered. 27 pts did not register due to: biopsy demonstrating ER-/HER2- (3 pts), ER+/HER2+ (5 pts), cancer other than breast (3 pts), no cancer in specimen (6 pts), brain metastases (2 pts), acute infection (1 pt), progression on or recent use of Tam (2 pts), or pt refusal (5 pts). 4/81 pts who registered were excluded due to ineligibility (3 pts) or refusal to start protocol treatment (1 pt). The study cohort consisted of 40 pts randomized to Endx and 37 pts to Tam. The median (m) number of ETs in the metastatic setting was 2 (range 1-4) for each arm including prior CDK 4/6i (Endx: 42.5%, Tam: 29.7%) and everolimus (Endx: 35.0%, Tam: 40.5%). The m cycle number was 6 for Endx (range: 1-35) and 3 for Tam (range: 1-42). PFS for Endx was not significantly different compared to Tam (HR= 0.77; 95% CI: 0.49-1.22, GLRT p=0.309; mPFS: Endx 130 days [95% CI: 76-138 days] and Tam 42 days [95%CI: 24-129 days]). However, PFS was significantly longer in pts with no prior CDK 4/6i in the Endx arm (GLRT p=0.002; HR(no/yes)=0.31; 95%CI: 0.15-0.65) but not in the Tam arm (GLRT p=0.708) (unplanned analysis). Severe (grade (G) 3+) toxicities included: Endx G3 hypertriglyceridemia (3 pts); Tam: G3 hypertension with G2 stroke (1 pt), G3 thromboembolic event (1 pt), and G3 abdominal, bone and liver pain (1 pt). In Endx arm, d1 m Endx plasma concentration (conc) was 216 ng/ml (n=17; range: 144-400). For Tam arm, d1 m Tam conc was 17 ng/ml (n=17; range:11-23) (Endx not detectable). For the 25 pts that crossed over to Endx, CBR was 28.0% (90% CI: 14.0-46.2%) and 14 pts had pk data at progression. A lower median Endx conc (6 ng/ml range: 3.3-16.3) was observed in Tam patients at progression who then had Endx clinical benefit compared to Tam pts without clinical benefit after Endx crossover (median Endx 12 ng/ml; range 4.4-36.6).Conclusions: In endocrine-resistant breast cancer, Z-Endx was not significantly superior to Tam, but clinical benefit was observed in 28% that crossed over to Endx after Tam progression. In pts with no prior CDK 4/6i, the observation of significantly longer PFS in the Endx arm is hypothesis generating. Support: U10CA180821, U10CA180882, U24CA196171, U10CA180820 (ECOG-ACRIN), https://acknowledgments.alliancefound.org; Clinical Trials.gov Identifier:NCT02311933 Citation Format: Matthew P. Goetz, Vera J Suman, Joel M Reid, Mary Kuffel, Sarah A Buhrow, Renee M McGovern, John Black, Travis Dockter, William F Symmans, Minetta C Liu, John R Hawse, James Doroshow, Anna M Storniolo, Jerry M Collins, Howard Streicher, Matthew M Ames, James N Ingle, Ann Partridge, Lisa Carey. A randomized phase II trial of tamoxifen versus Z-endoxifen HCL in postmenopausal women with metastatic estrogen receptor positive, HER2 negative breast cancer [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr PD7-06.

INTRODUCTION The cerebral cortex underlies our complex cognitive capabilities. Variations in human cortical surface area and thickness are associated with neurological, psychological, and behavioral traits and can be measured in vivo by magnetic resonance imaging (MRI). Studies in model organisms have identified genes that influence cortical structure, but little is known about common genetic variants that affect human cortical structure. RATIONALE To identify genetic variants associated with human cortical structure at both global and regional levels, we conducted a genome-wide association meta-analysis of brain MRI data from 51,665 individuals across 60 cohorts. We analyzed the surface area and average thickness of the whole cortex and 34 cortical regions with known functional specializations. RESULTS We identified 369 nominally genome-wide significant loci ( P < 5 × 10 −8 ) associated with cortical structure in a discovery sample of 33,992 participants of European ancestry. Of the 360 loci for which replication data were available, 241 loci influencing surface area and 66 influencing thickness remained significant after replication, with 237 loci passing multiple testing correction ( P < 8.3 × 10 −10 ; 187 influencing surface area and 50 influencing thickness). Common genetic variants explained 34% (SE = 3%) of the variation in total surface area and 26% (SE = 2%) in average thickness; surface area and thickness showed a negative genetic correlation ( r G = −0.32, SE = 0.05, P = 6.5 × 10 −12 ), which suggests that genetic influences have opposing effects on surface area and thickness. Bioinformatic analyses showed that total surface area is influenced by genetic variants that alter gene regulatory activity in neural progenitor cells during fetal development. By contrast, average thickness is influenced by active regulatory elements in adult brain samples, which may reflect processes that occur after mid-fetal development, such as myelination, branching, or pruning. When considered together, these results support the radial unit hypothesis that different developmental mechanisms promote surface area expansion and increases in thickness. To identify specific genetic influences on individual cortical regions, we controlled for global measures (total surface area or average thickness) in the regional analyses. After multiple testing correction, we identified 175 loci that influence regional surface area and 46 that influence regional thickness. Loci that affect regional surface area cluster near genes involved in the Wnt signaling pathway, which is known to influence areal identity. We observed significant positive genetic correlations and evidence of bidirectional causation of total surface area with both general cognitive functioning and educational attainment. We found additional positive genetic correlations between total surface area and Parkinson’s disease but did not find evidence of causation. Negative genetic correlations were evident between total surface area and insomnia, attention deficit hyperactivity disorder, depressive symptoms, major depressive disorder, and neuroticism. CONCLUSION This large-scale collaborative work enhances our understanding of the genetic architecture of the human cerebral cortex and its regional patterning. The highly polygenic architecture of the cortex suggests that distinct genes are involved in the development of specific cortical areas. Moreover, we find evidence that brain structure is a key phenotype along the causal pathway that leads from genetic variation to differences in general cognitive function. Identifying genetic influences on human cortical structure. ( A ) Measurement of cortical surface area and thickness from MRI. ( B ) Genomic locations of common genetic variants that influence global and regional cortical structure. ( C ) Our results support the radial unit hypothesis that the expansion of cortical surface area is driven by proliferating neural progenitor cells. ( D ) Cortical surface area shows genetic correlation with psychiatric and cognitive traits. Error bars indicate SE. IMAGE CREDITS: (A) K. COURTNEY; (C) M. R. GLASS