Causes of cervical lymphadenopathy at Kamuzu Central Hospital

AimDescription of pathologic causes of cervical lymphadenopathy at Kamuzu Central Hospital.IntroductionThe evaluation of cervical lymphadenopathy is a common diagnostic challenge facing clinicians. Previously at Kamuzu Central Hospital (KCH) tuberculosis (TB) was reported to be the most common cause of cervical lymphadenopathy However, no recent study has assessed this common diagnostic challenge in Malawi, particularly since the beginning of the HIV epidemic and the subsequent scale-up of antiretroviral therapy.MethodsWe conducted a cross-sectional study of all cervical lymph node specimens from the KCH pathology laboratory between 1 July 2011 and 28 February 2013 and describe patient age, gender, and pathologic diagnoses.ResultsOur search of the KCH pathology database yielded 179 cases. Of these, 143 (77%) were histologic specimens (open biopsy or core needle samples) while 34 (23%) were cytology specimens. The age range was from 0 to 76 years with a mean of 30 (SD: 19). In adults, the most common diagnosis was malignancy (n=41, 35%), while in children 15 cases each of malignancy and benign masses were diagnosed. Only 6 cases (5%) of TB were diagnosed in adults, and 4 cases (6%) of TB were diagnosed in children.ConclusionOur study shows more malignancy and much less TB than a prior study of cervical lymphadenopathy at KCH. With the successful initiaion of the KCH Pathology Laboratory in 2011, we recommend biopsy or FNA early in the workup of cervical lymphadenopathy to prevent long delays in diagnosis and treatment of curable cancers

Causes of cervical lymphadenopathy at Kamuzu Central Hospital

Aim: Description of pathologic causes of cervical lymphadenopathy at Kamuzu Central Hospital. Introduction: The evaluation of cervical lymphadenopathy is a common diagnostic challenge facing clinicians. Previously at Kamuzu Central Hospital (KCH) tuberculosis (TB) was reported to be the most common cause of cervical lymphadenopathy However, no recent study has assessed this common diagnostic challenge in Malawi, particularly since the beginning of the HIV epidemic and the subsequent scale-up of antiretroviral therapy. Methods: We conducted a cross-sectional study of all cervical lymph node specimens from the KCH pathology laboratory between 1 July 2011 and 28 February 2013 and describe patient age, gender, and pathologic diagnoses. Results: Our search of the KCH pathology database yielded 179 cases. Of these, 143 (77%) were histologic specimens (open biopsy or core needle samples) while 34 (23%) were cytology specimens. The age range was from 0 to 76 years with a mean of 30 (SD: 19). In adults, the most common diagnosis was malignancy (n=41, 35%), while in children 15 cases each of malignancy and benign masses were diagnosed. Only 6 cases (5%) of TB were diagnosed in adults, and 4 cases (6%) of TB were diagnosed in children. Conclusion: Our study shows more malignancy and much less TB than a prior study of cervical lymphadenopathy at KCH. With the successful initiaion of the KCH Pathology Laboratory in 2011, we recommend biopsy or FNA early in the workup of cervical lymphadenopathy to prevent long delays in diagnosis and treatment of curable cancers

Mutations associated with progression in follicular lymphoma predict inferior outcomes at diagnosis: Alliance A151303

Follicular lymphoma (FL) is clinically heterogeneous, with select patients tolerating extended watch-and-wait, whereas others require prompt treatment, suffer progression of disease within 24 months of treatment (POD24), and/or experience aggressive histologic transformation (t-FL). Because our understanding of the relationship between genetic alterations in FL and patient outcomes remains limited, we conducted a clinicogenomic analysis of 370 patients with FL or t-FL (from Cancer and Leukemia Group B/Alliance trials 50402/50701/50803, or real-world cohorts from Washington University School of Medicine, Cleveland Clinic, or University of Miami). FL subsets by grade, stage, watch-and-wait, or POD24 status did not differ by mutation burden, whereas mutation burden was significantly higher in relapsed/refractory (rel/ref) FL and t-FL than in newly diagnosed (dx) FL. Nonetheless, mutation burden in dx FL was not associated with frontline progression-free survival (PFS). CREBBP was the only gene more commonly mutated in FL than in t-FL yet mutated CREBBP was associated with shorter frontline PFS in FL. Mutations in 20 genes were more common in rel/ref FL or t-FL than in dx FL, including 6 significantly mutated genes (SMGs): STAT6, TP53, IGLL5, B2M, SOCS1, and MYD88. We defined a mutations associated with progression (MAP) signature as ≥2 mutations in these 7 genes (6 rel/ref FL or t-FL SMGs plus CREBBP). Patients with dx FL possessing a MAP signature had shorter frontline PFS, revealing a 7-gene set offering insight into FL progression risk potentially more generalizable than the m7-Follicular Lymphoma International Prognostic Index (m7-FLIPI), which had modest prognostic value in our cohort. Future studies are warranted to validate the poor prognosis associated with a MAP signature in dx FL, potentially facilitating novel trials specifically in this high-risk subset of patients

Adoption incentives and environmental policy timing under asymmetric information and strategic firm behaviour

We consider the incentives of a single firm to invest in a cleaner technology under emission quotas and emission taxation. We assume asymmetric information about the firm's cost of employing the new technology. Policy is set either before the firm invests (commitment) or after (time consistency). Contrary to conventional wisdom, we find that with commitment (time consistency), quotas give higher (lower) investment incentives than taxes. With quotas (taxes), commitment generally leads to higher (lower) welfare than time consistency. Under commitment with quadratic abatement costs and environmental damages, a modified Weitzman rule applies and quotas usually lead to higher welfare than taxes

Ultra-deep sequencing reveals the mutational landscape of classical Hodgkin lymphoma

UNLABELLED: The malignant Hodgkin and Reed Sternberg (HRS) cells of classical Hodgkin lymphoma (cHL) are scarce in affected lymph nodes, creating a challenge to detect driver somatic mutations. As an alternative to cell purification techniques, we hypothesized that ultra-deep exome sequencing would allow genomic study of HRS cells, thereby streamlining analysis and avoiding technical pitfalls. To test this, 31 cHL tumor/normal pairs were exome sequenced to approximately 1,000× median depth of coverage. An orthogonal error-corrected sequencing approach verified \u3e95% of the discovered mutations. We identified mutations in genes novel to cHL including: CDH5 and PCDH7, novel stop gain mutations in IL4R, and a novel pattern of recurrent mutations in pathways regulating Hippo signaling. As a further application of our exome sequencing, we attempted to identify expressed somatic single-nucleotide variants (SNV) in single-nuclei RNA sequencing (snRNA-seq) data generated from a patient in our cohort. Our snRNA analysis identified a clear cluster of cells containing a somatic SNV identified in our deep exome data. This cluster has differentially expressed genes that are consistent with genes known to be dysregulated in HRS cells (e.g., PIM1 and PIM3). The cluster also contains cells with an expanded B-cell clonotype further supporting a malignant phenotype. This study provides proof-of-principle that ultra-deep exome sequencing can be utilized to identify recurrent mutations in HRS cells and demonstrates the feasibility of snRNA-seq in the context of cHL. These studies provide the foundation for the further analysis of genomic variants in large cohorts of patients with cHL. SIGNIFICANCE: Our data demonstrate the utility of ultra-deep exome sequencing in uncovering somatic variants in Hodgkin lymphoma, creating new opportunities to define the genes that are recurrently mutated in this disease. We also show for the first time the successful application of snRNA-seq in Hodgkin lymphoma and describe the expression profile of a putative cluster of HRS cells in a single patient

Editing of the urease gene by CRISPR-Cas in the diatom Thalassiosira pseudonana

Background: CRISPR-Cas is a recent and powerful addition to the molecular toolbox which allows programmable genome editing. It has been used to modify genes in a wide variety of organisms, but only two alga to date. Here we present a methodology to edit the genome of Thalassiosira pseudonana, a model centric diatom with both ecological significance and high biotechnological potential, using CRISPR-Cas. Results: A single construct was assembled using Golden Gate cloning. Two sgRNAs were used to introduce a precise 37 nt deletion early in the coding region of the urease gene. A high percentage of bi-allelic mutations (≤61.5%) were observed in clones with the CRISPR-Cas construct. Growth of bi-allelic mutants in urea led to a significant reduction in growth rate and cell size compared to growth in nitrate. Conclusions: CRISPR-Cas can precisely and efficiently edit the genome of T. pseudonana. The use of Golden Gate cloning to assemble CRISPR-Cas constructs gives additional flexibility to the CRISPR-Cas method and facilitates modifications to target alternative genes or species

Dual alpha2C/5HT1A receptor agonist allyphenyline induces gastroprotection and inhibits fundic and colonic contractility

Allyphenyline, a novel α2-adrenoceptor (AR) ligand, has been shown to selectively activate α2C-adrenoceptors (AR) and 5HT1A receptors, but also to behave as a neutral antagonist of α2A-ARs. We exploited this unique pharmacological profile to analyze the role of α2C-ARs and 5HT1A receptors in the regulation of gastric mucosal integrity and gastrointestinal motility

Deciphering Diseases and Biological Targets for Environmental Chemicals using Toxicogenomics Networks

Exposure to environmental chemicals and drugs may have a negative effect on human health. A better understanding of the molecular mechanism of such compounds is needed to determine the risk. We present a high confidence human protein-protein association network built upon the integration of chemical toxicology and systems biology. This computational systems chemical biology model reveals uncharacterized connections between compounds and diseases, thus predicting which compounds may be risk factors for human health. Additionally, the network can be used to identify unexpected potential associations between chemicals and proteins. Examples are shown for chemicals associated with breast cancer, lung cancer and necrosis, and potential protein targets for di-ethylhexyl-phthalate, 2,3,7,8-tetrachlorodibenzo-p-dioxin, pirinixic acid and permethrine. The chemical-protein associations are supported through recent published studies, which illustrate the power of our approach that integrates toxicogenomics data with other data types