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Sepsis is a leading cause of morbidity and mortality in patients that have sustained a severe burn injury. Early detection and treatment of infections improves outcomes and understanding changes in the host microbiome following injury and during treatment may aid in burn care. The loss of functional barriers, systemic inflammation, and commensal community perturbations all contribute to a burn patient’s increased risk of infection. We sampled 10 burn patients to evaluate cutaneous microbial populations on the burn wound and corresponding spared skin on days 0, 3, 7, 14, 21, and 28 post-intensive care unit admission. In addition, skin samples were paired with perianal and rectal locations to evaluate changes in the burn patient gut microbiome following injury and treatment. We found significant (P = 0.011) reduction in alpha diversity on the burn wound compared to spared skin throughout the sampling period as well as reduction in common skin commensal bacteria such as Propionibacterium acnes and Staphylococcus epidermitis. Compared to healthy volunteers (n = 18), the burn patient spared skin also exhibited a significant reduction in alpha diversity (P = 0.001). Treatments such as systemic or topical antibiotic administration, skin grafting, and nutritional formulations also impact diversity and community composition at the sampling locations. When evaluating each subject individually, an increase in relative abundance of taxa isolated clinically by bacterial culture could be seen in 5/9 infections detected among the burn patient cohort.

Author(s): Tepper, Clifford G; Dang, Julie HT; Stewart, Susan L; Fang, Dao M; Wong, Kimberly A; Liu, Stephenie Y; Davis, Ryan R; Dao, Doan Y; Gregg, Jeffrey P; Torok, Natalie J; Chen, Moon S | Abstract: BACKGROUND:An exploratory study was performed to determine the prevalence of the patatin-like phospholipase domain-containing protein 3 (PNPLA3) rs78409 [G] allele among the Hmong as a risk factor for nonalcoholic fatty liver disease (NAFLD). NAFLD/nonalcoholic steatohepatitis is the world's most common chronic liver disease and is expected to replace viral hepatitis as the leading cause of cirrhosis and potential precursor to hepatocellular carcinoma (HCC). Of all populations in California, the Hmong experience the highest risk of death from HCC and the highest prevalence of metabolic syndrome risk factors among Asians that predispose them to NAFLD. Here a genetic explanation was sought for the high rates of chronic liver disease among the Hmong. The literature pointed to the PNPLA3 rs738409 [G] allele as a potential genetic culprit. METHODS:Cell-free DNA was isolated from 26 serum samples previously collected in community settings. Quantitative polymerase chain reaction-based single-nucleotide polymorphism (SNP) genotyping was performed with a validated TaqMan SNP genotyping assay, and results were analyzed with TaqMan Genotyper software. RESULTS:The PNPLA3 rs738409 [CgG] variant occurred at a frequency of 0.46 (12 of 26; 95% confidence interval, 0.27-0.67). This carrier rate would rank the Hmong as the third highest population in the 1000 Genomes Project. CONCLUSIONS:Although this small sample size limits the generalizability, the high frequency rates of this allele along with the presence of metabolic syndrome risk factors warrant further studies into the etiology of NAFLD among the Hmong. Cancer 2018;124:1583-9. © 2018 American Cancer Society.

Pancreatic cancer is a uniquely lethal malignancy characterized by frequent mutations in KRAS, CDKN2A, SMAD4, TP53 and many other genes. Molecular characterization is complicated by relatively few patients presenting with surgically resectable disease, frequent absence of metastases in easily accessible sites, and short patient survival. We have shown that KRAS mutation can be detected in cell-free, circulating tumor DNA (ctDNA) isolated from the plasma in a subset of patients and is associated with poor prognosis. The ability to simultaneously detect multiple pancreatic cancer-specific mutations in ctDNA would open a new avenue for detection of clinically-relevant mutations. We collected blood from 28 patients with advanced pancreatic cancer prior to treatment on a phase II clinical trial of pharmacodynamically separated gemcitabine and erlotinib. DNA was extracted from both plasma and available matched FFPE tumor specimens and evaluated with the GeneRead DNA QuantiMIZE System (Qiagen). The mutation status of 160 commonly-mutated genes was determined using an amplicon sequencing assay. Sequencing libraries were prepared from DNA samples (40 ng input) by targeted enrichment of exonic regions using the Qiagen GeneRead Human Comprehensive Cancer Panel, which encompasses >744 kb genomic content with ∼8,000 amplicons. Next-generation sequencing (NGS) was performed on the Illumina MiSeq for validation analyses of a subset of matched tumor-ctDNA samples, and subsequently on the Illumina HiSeq 2500 for ultra-deep sequencing (1,000X) of the entire sample set. Read mapping, variant discovery, and functional annotation were performed with the Qiagen GeneRead Variant Calling Pipeline. The technical success of this sequencing assay for ctDNA, as well as FFPE DNA, was demonstrated by the resulting data meeting the expected NGS quality standards, including a high percentage of mappable reads (∼90%). In addition, the integrity of the sequencing data obtained from ctDNA samples was supported by detection of 82-94% of the variants found in each matched tumor. Somatic, non-synonymous variants were identified in 29 different genes and at allele frequencies typically Citation Format: Clifford G. Tepper, Ryan R. Davis, Stephenie Y. Liu, Rebekah A. Tsai, Irene M. Hutchins, Philip C. Mack, Thomas J. Semrad. Utilization of next-generation sequencing to identify clinically-relevant mutations in cell-free circulating tumor DNA from patients with advanced pancreatic cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 5242. doi:10.1158/1538-7445.AM2015-5242

In order to provide an alternative approach for understanding the biology and genetics of autism, we performed statistical analysis of gene expression profiles of lymphoblastoid cell lines derived from children with autism and their families. The goal was to assess the feasibility of using this model in identifying autism-associated genes. Replicate microarray experiments demonstrated that expression data from the cell lines were consistent and highly reproducible. Further analyses identified differentially expressed genes between cell lines derived from children with autism and those derived from their normally developing siblings. These genes were then used to identify biochemical pathways potentially involved in autism. This study suggests that lymphoblastoid cell lines may be a viable tool for identifying genes associated with autism.

Leukemia stem cells (LSCs) are the root of leukemia, and are responsible for drug resistance and disease relapse. However, LSCs have not yet been identified for acute lymphoblastic leukemia (ALL). Among many challenges, lack of phenotypic markers is one of the major problems in identifying ALL LSCs. In this study, we demonstrated a novel method to isolate LSCs from both T- and B- cell ALLs and further characterized their transcriptome profile at the single cell level. We have recently identified a novel method to isolate ALL LSCs based on cellular metabolic activities. We demonstrated that these isolated LSCs had in vivo leukemia-initiating capability (LIC). We have developed a series of primary ALL xenograft mouse models using patient samples and NOD/SCID/IL2Rg-/- (NSG) mice. Leukemia cells harvested from several generations of these mice were used in this study. We isolated LSCs and non-LSCs from 4 different B-cell type ALL samples and transplanted them separately into healthy NSG mice. Cell numbers used varied between 5, 10, and 50,000 per mouse, and the number of the animals varied between three and eight per group. All the animals transplanted with LSCs developed leukemia between 5-14 weeks, whereas those transplanted with non-LSCs did not develop the disease within the same timeframe or by the end of the study, which was more than 4 months after leukemia development in the LSC group. In order to characterize and identify potential therapeutic targets in the LSCs, we investigated the transcriptome profile of these cells. First, we performed genomewide microarray gene expression profiling of RNA isolated from the LSCs and non-LSCs using 4 ALL cell lines (Reh, JM1, Jurkat, and Molt4). There were 173 genes which showed at least 2-fold difference in gene expression between the LSCs and non-LSCs. Using a panel of primer sets for the 100 genes exhibiting the highest difference in expression, we performed qRT-PCR for these genes in the isolated LSCs and non-LSCs from 11 primary ALL samples (10 B-cell and 1 T-cell type) transplanted and harvested from our NSG xenograft mouse models at different generations. There was a distinct difference in the transcriptome profile between the LSCs and non-LSCs in these primary ALL samples. Overall gene expression of 93 LSC signature genes was much lower in the LSCs than in the non-LSCs. Recent advances in microfluidic technologies allowed us to investigate cells at single cell resolution. Growing evidence suggests that cancer stem cells consist of heterogeneous cell populations (subclones). Therefore, we further investigated whether these isolated LSCs have subclones using the Fluidigm C1 and Biomark system. Preliminary results using a primary ALL sample harvested from our xenograft mouse model, indicate that there are at least two distinct subclones in the LSCs based on principal component analysis of the single cell data. In summary, we 1) developed a novel method to isolate ALL LSCs which have in vivo LIC, 2) demonstrated that isolated LSCs have a distinct transcriptome profile, and 3) discovered that the LSCs seem to consist of subclones. Currently we are in the process of performing detailed comprehensive transcriptome analyses and additional single cell transcriptome assays. Disclosures No relevant conflicts of interest to declare.

Introduction Ductal carcinoma in situ (DCIS) is a noninvasive premalignant lesion and is considered a precursor to invasive carcinoma. DCIS accounts for nearly 20% of newly diagnosed breast cancer, but the lack of experimentally amenable in vivo DCIS models hinders the development of treatment strategies. Here, we demonstrate the utility of a mouse transplantation model of DCIS for chemoprevention studies using selective estrogen receptor modulators (SERMs). This model consists of a set of serially transplanted lines of genetically engineered mouse mammary intraepithelial neoplasia (MIN) outgrowth (MIN-O) tissue that have stable characteristics. We studied the ovarian-hormone-responsiveness of one of the lines with a particular focus on the effects of two related SERMs, tamoxifen and ospemifene. Methods The estrogen receptor (ER) status and ovarian-hormone-dependence of the mouse MIN outgrowth tissue were determined by immunohistochemistry and ovarian ablation. The effects of tamoxifen and ospemifene on the growth and tumorigenesis of MIN outgrowth were assessed at 3 and 10 weeks after transplantation. The effects on ER status, cell proliferation, and apoptosis were studied with immunohistochemistry. Results The MIN-O was ER-positive and ovarian ablation resulted in reduced MIN-O growth and tumor development. Likewise, tamoxifen and ospemifene treatments decreased the MIN growth and tumor incidence in comparison with the control (P < 0.01). Both SERMs significantly decreased cell proliferation. Between the two SERM treatment groups, there were no statistically significant differences in MIN-O size, tumor latency, or proliferation rate. In contrast, the ospemifene treatment significantly increased ER levels while tamoxifen significantly decreased them. Conclusion Tamoxifen and ospemifene inhibit the growth of premalignant mammary lesions and the progression to invasive carcinoma in a transplantable mouse model of DCIS. The inhibitory effects of these two SERMs are similar except for their effects on ER modulation. These differences in ER modulation may suggest different mechanisms of action between the two related SERMs and may portend different long-term outcomes. These data demonstrate the value of this model system for preclinical testing of antiestrogen or other therapies designed to prevent or delay the malignant transformation of premalignant mammary lesions in chemoprevention.

Introduction In order to study metastatic disease, we employed the use of two related polyomavirus middle T transgenic mouse tumor transplant models of mammary carcinoma (termed Met and Db) that display significant differences in metastatic potential. Methods Through suppression subtractive hybridization coupled to the microarray, we found osteopontin (OPN) to be a highly expressed gene in the tumors of the metastatic mouse model, and a lowly expressed gene in the tumors of the lowly metastatic mouse model. We further analyzed the role of OPN in this model by examining sense and antisense constructs using in vitro and in vivo methods. Results With in vivo metastasis assays, the antisense Met cells showed no metastatic tumor formation to the lungs of recipient mice, while wild-type Met cells, with higher levels of OPN, showed significant amounts of metastasis. The Db cells showed a significantly reduced metastasis rate in the in vivo metastasis assay as compared with the Met cells. Db cells with enforced overexpression of OPN showed elevated levels of OPN but did not demonstrate an increase in the rate of metastasis compared with the wild-type Db cells. Conclusions We conclude that OPN is an essential regulator of the metastatic phenotype seen in polyomavirus middle T-induced mammary tumors. Yet OPN expression alone is not sufficient to cause metastasis. These data suggest a link between metastasis and phosphatidylinositol-3-kinase-mediated transcriptional upregulation of OPN, but additional phosphatidylinositol-3-kinase-regulated genes may be essential in precipitating the metastasis phenotype in the polyomavirus middle T model.

Breast cancer is among the most common human cancers. One of the significant predictors of prognosis is distant metastasis. As cancer is the consequence of a broad dysregulation of cell signaling pathways, the ability of cells to metastasize may be due to changes in a limited number of pathways related to invasiveness and metastasis. Our study focuses on gaining a better understanding of these pathways using a mouse model for mammary tumor metastasis. We are working with two transplantable mouse mammary tumor lines with significant differences in metastatic potential. Met-1 tumors develop 100% pulmonary metastases while Db-7 tumors exhibit significantly fewer pulmonary metastases (9%). In order to extract genes differentially expressed in both Met-1 and Db-7, we performed two suppression subtractive hybridization (SSH) experiments. From each of the subtracted libraries, 2600 clones were PCR-amplified and arrayed. By fluorescently labeling the unsubtracted Met-1 and Db-7 libraries and hybridizing them onto the microarray, we were able to demarcate the truly differentially expressed genes. Clones found to be greater than two-fold differentially expressed were then sequenced for identification. Differential expression of each gene was verified by RT-PCR, Northern blot, and Western blot. In order to determine the function of a subset of these genes, anti-sense and sense constructs were introduced into cell lines derived from these tumors. Migration assays were performed and the metastatic potential of each gene was assessed. We have identified several interesting genes that are both differentially and functionally important for the metastatic phenotype in this model.