141 research outputs found

    The Unnecessary In-state Relocation Standard

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    Revisiting Expectations in an Era of Precision Oncology

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    As we enter an era of precision medicine and targeted therapies in the treatment of metastatic cancer, we face new challenges for patients and providers alike as we establish clear guidelines, regulations, and strategies for implementation. At the crux of this challenge is the fact that patients with advanced cancer may have disproportionate expectations of personal benefit when participating in clinical trials designed to generate generalizable knowledge. Patient and physician goals of treatment may not align, and reconciliation of their disparate perceptions must be addressed. However, it is particularly challenging to manage a patient’s expectations when the goal of precision medicineñ personalized responseñ exacerbates our inability to predict outcomes for any individual patient. The precision medicine informed consent process must therefore directly address this issue. We are challenged to honestly, clearly, and compassionately engage a patient population in an informed consent process that is responsive to their vulnerability, as well as everñ evolving indications and evidence. This era requires a continual reassessment of expectations and goals from both sides of the bed.New challenges are faced in this era of precision medicine and targeted therapies. Clear guidelines, regulations, and strategies for implementation are needed. Patients with advanced cancer may have disproportionate expectations of the personal benefit of participating in clinical trials. The informed consent process must address this issue directly and honestly. This era requires a continual reassessment of both patient and physician expectations and goals.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142968/1/onco12322_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/142968/2/onco12322.pd

    Long serial analysis of gene expression for gene discovery and transcriptome profiling in the widespread marine coccolithophore Emiliania huxleyi

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    Author Posting. © American Society for Microbiology, 2006. This article is posted here by permission of American Society for Microbiology for personal use, not for redistribution. The definitive version was published in Applied and Environmental Microbiology 72 (2006): 252-260, doi:10.1128/AEM.72.1.252-260.2006.The abundant and widespread coccolithophore Emiliania huxleyi plays an important role in mediating CO2 exchange between the ocean and the atmosphere through its impact on marine photosynthesis and calcification. Here, we use long serial analysis of gene expression (SAGE) to identify E. huxleyi genes responsive to nitrogen (N) or phosphorus (P) starvation. Long SAGE is an elegant approach for examining quantitative and comprehensive gene expression patterns without a priori knowledge of gene sequences via the detection of 21-bp nucleotide sequence tags. E. huxleyi appears to have a robust transcriptional-level response to macronutrient deficiency, with 42 tags uniquely present or up-regulated twofold or greater in the N-starved library and 128 tags uniquely present or up-regulated twofold or greater in the P-starved library. The expression patterns of several tags were validated with reverse transcriptase PCR. Roughly 48% of these differentially expressed tags could be mapped to publicly available genomic or expressed sequence tag (EST) sequence data. For example, in the P-starved library a number of the tags mapped to genes with a role in P scavenging, including a putative phosphate-repressible permease and a putative polyphosphate synthetase. In short, the long SAGE analyses have (i) identified many new differentially regulated gene sequences, (ii) assigned regulation data to EST sequences with no database homology and unknown function, and (iii) highlighted previously uncharacterized aspects of E. huxleyi N and P physiology. To this end, our long SAGE libraries provide a new public resource for gene discovery and transcriptional analysis in this biogeochemically important marine organism.This work was supported by the Woods Hole Oceanographic Institution Ocean Life Institute, the J. Lamar Worzel Assistant Scientist Fund, and the Frank and Lisina Hoch Endowed Fund. A.G.M., S.R.B., and M.J.C. were supported in part by the Marine Biological Laboratory's Program in Global Infectious Diseases, funded by the Ellison Medical Foundation. Computational resources were provided by the Josephine Bay Paul Center for Comparative Molecular Biology and Evolution (Marine Biological Laboratory) through funds provided by the W. M. Keck Foundation and the G. Unger Vetlesen Foundation

    Differential gene expression between fall- and spring-run Chinook salmon assessed by long serial analysis of gene expression

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    Author Posting. © American Fisheries Society, 2008. This article is posted here by permission of American Fisheries Society for personal use, not for redistribution. The definitive version was published in Transactions of the American Fisheries Society 137 (2008): 1378–1388, doi:10.1577/T07-222.1.Of all Pacific salmonids, Chinook salmon Oncorhynchus tshawytscha display the greatest variability in return times to freshwater. The molecular mechanisms of these differential return times have not been well described. Current methods, such as long serial analysis of gene expression (LongSAGE) and microarrays, allow gene expression to be analyzed for thousands of genes simultaneously. To investigate whether differential gene expression is observed between fall- and spring-run Chinook salmon from California's Central Valley, LongSAGE libraries were constructed. Three libraries containing between 25,512 and 29,372 sequenced tags (21 base pairs/tag) were generated using messenger RNA from the brains of adult Chinook salmon returning in fall and spring and from one ocean-caught Chinook salmon. Tags were annotated to genes using complementary DNA libraries from Atlantic salmon Salmo salar and rainbow trout O. mykiss. Differentially expressed genes, as estimated by differences in the number of sequence tags, were found in all pairwise comparisons of libraries (freshwater versus saltwater = 40 genes; fall versus spring = 11 genes; and spawning versus nonspawning = 51 genes). The gene for ependymin, an extracellular glycoprotein involved in behavioral plasticity in fish, exhibited the most differential expression among the three groupings. Reverse transcription polymerase chain reaction analysis verified the differential expression of ependymin between the fall- and spring-run samples. These LongSAGE libraries, the first reported for Chinook salmon, provide a window of the transcriptional changes during Chinook salmon return migration to freshwater and spawning and increase the amount of expressed sequence data.This work was supported with a grant from the California Department of Water Resources awarded to M.A.B.; J.C.B. received additional funding from the North Umpqua Foundation, Roseburg, Oregon

    Predictors of survival after total laryngectomy for recurrent/persistent laryngeal squamous cell carcinoma

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    BackgroundTotal laryngectomy remains the treatment of choice for recurrent/persistent laryngeal squamous cell carcinoma (SCC) after radiotherapy (RT) or chemoradiotherapy (CRT). However, despite attempts at aggressive surgical salvage, survival in this cohort remains suboptimal.MethodsA prospectively maintained single‐institution database was queried for patients undergoing total laryngectomy for recurrent/persistent laryngeal SCC after initial RT/CRT between 1998 and 2015(n = 244). Demographic, clinical, and survival data were abstracted. The Kaplan‐Meier survival curves and hazard ratios (HRs) were calculated.ResultsFive‐year overall survival (OS) was 49%. Five‐year disease‐free survival (DFS) was 58%. Independent predictors of OS included severe comorbidity (Adult Comorbidity Evaluation‐27 [ACE‐27] scale; HR 3.76; 95% confidence interval [CI] 1.56‐9.06), and positive recurrent clinical nodes (HR 2.91; 95% CI 1.74‐4.88).ConclusionSevere comorbidity status is the strongest predictor of OS, suggesting that increased attention to mitigating competing risks to health is critical. These data may inform a risk prediction model to allow for focused shared decision making, preoperative health optimization, and patient selection for adjuvant therapies.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/139972/1/hed24918.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/139972/2/hed24918_am.pd

    The molecular landscape of the University of Michigan laryngeal squamous cell carcinoma cell line panel

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    BackgroundLaryngeal squamous cell carcinomas (LSCCs) have a high risk of recurrence and poor prognosis. Patient‐derived cancer cell lines remain important preclinical models for advancement of new therapeutic strategies, and comprehensive characterization of these models is vital in the precision medicine era.MethodsWe performed exome and transcriptome sequencing as well as copy number analysis of a panel of LSCC‐derived cell lines that were established at the University of Michigan and are used in laboratories worldwide.ResultsWe observed a complex array of alterations consistent with those reported in The Cancer Genome Atlas head and neck squamous cell carcinoma project, including aberrations in PIK3CA, EGFR, CDKN2A, TP53, and NOTCH family and FAT1 genes. A detailed analysis of FAT family genes and associated pathways showed disruptions to these genes in most cell lines.ConclusionsThe molecular profiles we have generated indicate that as a whole, this panel recapitulates the molecular diversity observed in patients and will serve as useful guides in selecting cell lines for preclinical modeling.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/151290/1/hed25803.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/151290/2/hed25803_am.pd

    Observation of confined current ribbon in JET plasmas

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    we report the identification of a localised current structure inside the JET plasma. It is a field aligned closed helical ribbon, carrying current in the same direction as the background current profile (co-current), rotating toroidally with the ion velocity (co-rotating). It appears to be located at a flat spot in the plasma pressure profile, at the top of the pedestal. The structure appears spontaneously in low density, high rotation plasmas, and can last up to 1.4 s, a time comparable to a local resistive time. It considerably delays the appearance of the first ELM.Comment: 10 pages, 6 figure
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