Biomedical subjects

Andrew Norton

Publications and source records attributed to Andrew Norton.

5 recordsLinked to original sources

PubMed2006

Acceptability of pesticide impacts on the environment: what do United Kingdom stakeholders and the public value?

EU Directive 91/414/EEC requires there to be no unacceptable effects on the environment from the use of pesticides. This paper reports the views of direct stakeholder groups and results from an opinion survey of more than 2000 members of the general public on what in practice should constitute acceptable and unacceptable effects of pesticides. Stakeholders in focus groups were concerned with the potential effects of pesticides on animal and plant population viability and micro-organism function but recognized that a trade-off exists between the potential economic advantages of responsible pesticide use and the potential disadvantages of individual poisoning events. The public opinion survey showed that although pesticides are widely used in homes and gardens, their use on farm crops remains of concern to the public. Concerns are greatest on issues of human health and food quality but potential environmental effects are also an issue for a substantial number of people, particularly if attractive species could be affected.

Animals↗

PubMed2005

Histopathology, cell proliferation indices and clinical outcome in 304 patients with mantle cell lymphoma (MCL): a clinicopathological study from the European MCL Network.

Mantle cell lymphoma (MCL) is a distinct lymphoma subtype with a particularly poor clinical outcome. The clinical relevance of the morphological characteristics of these tumours remains uncertain. The European MCL Network reviewed 304 cases of MCL to determine the prognostic significance of histopathological characteristics. Cytomorphological subtypes, growth pattern and markers of proliferation (mitotic and Ki-67 indices) were analysed. In addition to the known cytological subtypes, classical (87.5%), small cell (3.6%), pleomorphic (5.9%) and blastic (2.6%), we identified new pleomorphic subgroups with mixtures of cells (classical + pleomorphic type; 1.6%) or transitions (classical/pleomorphic type; 1.6%), which, however, did not differ significantly in overall survival time. Exactly 80.5% of cases displayed a diffuse growth pattern, whereas 19.5% of cases had a nodular growth pattern, which was associated with a slightly more favourable prognosis. A high proliferation rate (mitotic or Ki-67 indices) was associated with shorter overall survival. Cut-off levels were defined that allowed three subgroups with different proliferation rates to be discriminated, which showed significantly different clinical outcomes (P < 0.0001). Based on this large clinicopathological study of prospective clinical trials, multivariate analysis confirmed the central prognostic role of cell proliferation and its superiority to all other histomorphological and clinical criteria.

Adult↗

PubMed2004

Post transplant T-cell lymphoma: a case series of four patients from a single unit and review of the literature.

Post-transplant lymphoproliferative disorders (PTLDs) occur in approximately 1% of renal graft recipients. Of these, up to 15 percent are of the T-cell type. In this study, we present four cases of T-cell lymphoma from our renal transplant population, each of whom presented with non-specific symptoms, pancytopenia and/or liver dysfunction, with no obvious lymphadenopathy. They were all diagnosed with rare subsets of T-cell PTLD that included hepato-splenic T-cell lymphoma and anaplastic large cell lymphoma (ALCL). At the time of presentation, the patients were too ill for treatment to be initiated and succumbed to their illness. Increased awareness of this condition may allow for earlier diagnosis and improve its prognosis.

Adult↗

PubMed2003

Presentation serum selenium predicts for overall survival, dose delivery, and first treatment response in aggressive non-Hodgkin's lymphoma.

PURPOSE: This study was undertaken to test the hypothesis that serum selenium concentration at presentation correlates with dose delivery, first treatment response, and overall survival in patients with aggressive B-cell non-Hodgkin's lymphoma. PATIENTS AND METHODS: The patients presented between July 1986 and March 1999 and received anthracycline-based chemotherapy, radiotherapy, or both. The total selenium content was retrospectively analyzed in 100 sera, frozen at presentation, using inductively coupled plasma mass spectrometry. RESULTS: The serum selenium concentration ranged from 0.33 to 1.51 micromol/L (mean, 0.92 micromol/L; United Kingdom adult reference range, 1.07 to 1.88 micromol/L). Serum selenium concentration correlated closely with performance status but with no other clinical variable. Multivariate analysis revealed that increased dose delivery, summarized by an area under the curve, correlated positively with younger age (P <.001), advanced stage (P =.001), and higher serum selenium concentration (P =.032). Selenium level also correlated positively with response (odds ratio, 0.62; 95% confidence interval [CI], 0.43 to 0.90; P =.011) and achievement of long-term remission after first treatment (log-rank test, 4.38; P =.036). On multivariate analysis, selenium concentration was positively predictive of overall survival (hazard ratio [HR], 0.76 for 0.2 micromol/L increase; 95% CI, 0.60 to 0.95; P =.018), whereas age indicated negative borderline significance (HR, 1.09; 95% CI, 0.99 to 1.18; P =.066). CONCLUSION: Serum selenium concentration at presentation is a prognostic factor, predicting positively for dose delivery, treatment response, and long-term survival in aggressive non-Hodgkin's lymphoma. Unlike most existing prognostic factors in aggressive non-Hodgkin's lymphoma, selenium supplementation may offer a novel therapeutic strategy in this frequently curable malignancy.

Adult↗

PubMed2002

Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning.

Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is curable in less than 50% of patients. Prognostic models based on pre-treatment characteristics, such as the International Prognostic Index (IPI), are currently used to predict outcome in DLBCL. However, clinical outcome models identify neither the molecular basis of clinical heterogeneity, nor specific therapeutic targets. We analyzed the expression of 6,817 genes in diagnostic tumor specimens from DLBCL patients who received cyclophosphamide, adriamycin, vincristine and prednisone (CHOP)-based chemotherapy, and applied a supervised learning prediction method to identify cured versus fatal or refractory disease. The algorithm classified two categories of patients with very different five-year overall survival rates (70% versus 12%). The model also effectively delineated patients within specific IPI risk categories who were likely to be cured or to die of their disease. Genes implicated in DLBCL outcome included some that regulate responses to B-cell-receptor signaling, critical serine/threonine phosphorylation pathways and apoptosis. Our data indicate that supervised learning classification techniques can predict outcome in DLBCL and identify rational targets for intervention.

Antineoplastic Combined Chemotherapy Protocols↗