Flap delineation guidelines in postoperative head and neck radiation therapy for head and neck cancers.

Reconstructive surgery in head and neck cancers frequently involves the use of autologous flaps to improve functional outcomes. However, the literature suggests that postoperative radiotherapy deteriorates functional outcomes due to flap atrophy and fibrosis. Data on patterns of relapse after postoperative radiotherapy with a flap are lacking, resulting in heterogenous delineation of postoperative clinical target volumes (CTV). Flap delineation is unusual in routine practice and there are no guidelines on how to delineate flaps. Therefore, we aim to propose a guideline for flap delineation in head and neck cancers to assess dose-effects more accurately with respect to flaps. Common flaps were selected. They were delineated by radiation oncologists and head and neck surgeons based on operative reports, on contrast-enhanced planning CTs and checked by a radiologist. Each flap was divided into its vascular pedicle and its soft tissue components (fat, fascia/ muscle, skin, bone). Delineation (body and pedicle) of Facial Artery Musculo-Mucosal, pectoralis, radial forearm, anterolateral thigh, fibula and scapula flaps was performed. Based on information provided in operative reports, i.e. tissue components, size and location, flaps can be identified. The various tissue components of each flap can be individualized to facilitate the delineation. This atlas could serve as a guide for the delineation of flaps and may serve to conduct studies evaluating dose-effects, geometric patterns of failure or functional outcomes after reconstructive surgery. Changes in postoperative CTV definitions might be needed to improve risk/benefit ratio in the future based on surgery-induced changes

MO282EARLY RENAL RECOVERY AFTER A FIRST FLARE OF PAUCI IMMUNE GLOMERULONEPHRITIS

Abstract Background and Aims Renal involvement is a severe manifestation of ANCA-associated vasculitis. Patients often progress to end-stage renal disease. The potential for renal recovery after a first flare has seldom been studied. Our objectives were to describe the evolution of the estimated glomerular filtration rate (eGFR) and identify factors associated with the change in eGFR between diagnosis and follow-up at 3 months (ΔeGFRM0–M3) in a cohort of patients with a first flare of pauci-immune glomerulonephritis. Methods This was a retrospective study over the period 2003–2018 of incident patients in the Nord-Pas-de-Calais (France). Patients were recruited if they had a first histologically-proven flare of pauci immune glomerulonephritis with at least 1 year of follow up. Kidney function was estimated with MDRD-equation and analysed at diagnosis, 3rd, 6th and 12th months. The primary outcome was ΔeGFRM0–M3. Factors evaluated were histological (Berden classification, interstitial fibrosis, percentage of crescents), clinical (extra-renal manifestations, sex, age) or biological (severity of acute kidney injury, dialysis, ANCA subtype). Results One hundred and seventy-seven patients were included. The eGFR at 3 months was significantly higher than at diagnosis (mean ± standard deviation, 40 ± 24 vs 28 ± 26 ml/min/1.73 m2, p &amp;lt; 0.001), with a ΔeGFRM0–M3 of 12 ± 19 ml/min/1.73 m2. The eGFR at 12 months was higher than at 3 months (44 ± 13 vs 40 ± 24 ml/min/1.73m2, p = 0.003). The factors significantly associated with ΔeGFRM0–M3 in univariate analysis were: sclerotic class according to Berden classification, percentage of interstitial fibrosis, percentage of cellular crescents, acute tubular necrosis, neurological involvement. The factors associated with ΔeGFRM0–M3 in multivariate analysis were the percentage of cellular crescents and neurological involvement. The mean increase in eGFR was 2.90 ± 0.06 ml/min/1.73m2 for every 10-point gain in the percentage of cellular crescents. ΔeGFRM0–M3 was not associated with the risks of end-stage renal disease or death in long-term follow-up. Conclusions Early renal recovery after a first flare of pauci-immune glomerulonephritis occurred mainly in the first three months of treatment. The percentage of cellular crescents was the main independent predictor of early renal recovery. </jats:sec

Population-Based Genome-wide Association Studies Reveal Six Loci Influencing Plasma Levels of Liver Enzymes

Plasma liver-enzyme tests are widely used in the clinic for the diagnosis of liver diseases and for monitoring the response to drug treatment. There is considerable evidence that human genetic variation influences plasma levels of liver enzymes. However, such genetic variation has not been systematically assessed. In the present study, we performed a genome-wide association study of plasma liver-enzyme levels in three populations (total n = 7715) with replication in three additional cohorts (total n = 4704). We identified two loci influencing plasma levels of alanine-aminotransferase (ALT) (CPN1-ERLIN1-CHUK on chromosome 10 and PNPLA3-SAMM50 on chromosome 22), one locus influencing gamma-glutamyl transferase (GGT) levels (HNF1A on chromosome 12), and three loci for alkaline phosphatase (ALP) levels (ALPL on chromosome 1, GPLD1 on chromosome 6, and JMJD1C-REEP3 on chromosome 10). In addition, we confirmed the associations between the GGT1 locus and GGT levels and between the ABO locus and ALP levels. None of the ALP-associated SNPs were associated with other liver tests, suggesting intestine and/or bone specificity. The mechanisms underlying the associations may involve cis- or trans-transcriptional effects (some of the identified variants were associated with mRNA transcription in human liver or lymphoblastoid cells), dysfunction of the encoded proteins (caused by missense variations at the functional domains), or other unknown pathways. These findings may help in the interpretation of liver-enzyme tests and provide candidate genes for liver diseases of viral, metabolic, autoimmune, or toxic origin. The specific associations with ALP levels may point to genes for bone or intestinal diseases

Tools for the Microbiome: Nano and Beyond.

The microbiome presents great opportunities for understanding and improving the world around us and elucidating the interactions that compose it. The microbiome also poses tremendous challenges for mapping and manipulating the entangled networks of interactions among myriad diverse organisms. Here, we describe the opportunities, technical needs, and potential approaches to address these challenges, based on recent and upcoming advances in measurement and control at the nanoscale and beyond. These technical needs will provide the basis for advancing the largely descriptive studies of the microbiome to the theoretical and mechanistic understandings that will underpin the discipline of microbiome engineering. We anticipate that the new tools and methods developed will also be more broadly useful in environmental monitoring, medicine, forensics, and other areas

Tools for the Microbiome: Nano and Beyond

The microbiome presents great opportunities for understanding and improving the world around us and elucidating the interactions that compose it. The microbiome also poses tremendous challenges for mapping and manipulating the entangled networks of interactions among myriad diverse organisms. Here, we describe the opportunities, technical needs, and potential approaches to address these challenges, based on recent and upcoming advances in measurement and control at the nanoscale and beyond. These technical needs will provide the basis for advancing the largely descriptive studies of the microbiome to the theoretical and mechanistic understandings that will underpin the discipline of microbiome engineering. We anticipate that the new tools and methods developed will also be more broadly useful in environmental monitoring, medicine, forensics, and other areas.United States. Office of Naval Research (N000141410051)Genomic Science Program (U.S.)Pacific Northwest National Laboratory (U.S.) (DE-AC06-76RL01830