Patient selection for oncology phase I trials: a multi-institutional study of prognostic factors.

PURPOSE The appropriate selection of patients for early clinical trials presents a major challenge. Previous analyses focusing on this problem were limited by small size and by interpractice heterogeneity. This study aims to define prognostic factors to guide risk-benefit assessments by using a large patient database from multiple phase I trials. PATIENTS AND METHODS Data were collected from 2,182 eligible patients treated in phase I trials between 2005 and 2007 in 14 European institutions. We derived and validated independent prognostic factors for 90-day mortality by using multivariate logistic regression analysis. Results The 90-day mortality was 16.5% with a drug-related death rate of 0.4%. Trial discontinuation within 3 weeks occurred in 14% of patients primarily because of disease progression. Eight different prognostic variables for 90-day mortality were validated: performance status (PS), albumin, lactate dehydrogenase, alkaline phosphatase, number of metastatic sites, clinical tumor growth rate, lymphocytes, and WBC. Two different models of prognostic scores for 90-day mortality were generated by using these factors, including or excluding PS; both achieved specificities of more than 85% and sensitivities of approximately 50% when using a score cutoff of 5 or higher. These models were not superior to the previously published Royal Marsden Hospital score in their ability to predict 90-day mortality. CONCLUSION Patient selection using any of these prognostic scores will reduce non-drug-related 90-day mortality among patients enrolled in phase I trials by 50%. However, this can be achieved only by an overall reduction in recruitment to phase I studies of 20%, more than half of whom would in fact have survived beyond 90 days.

Dynamic mechanical analysis of polymeric systems of pharmaceutical and biomedical significance

Dynamic mechanical analysis (DMA) is an analytical technique in which an oscillating stress is applied to a sample and the resultant strain measured as functions of both oscillatory frequency and temperature. From this, a comprehensive knowledge of the relationships between the various viscoelastic parameters, e.g. storage and loss moduli, mechanical damping parameter (tan delta), dynamic viscosity, and temperature may be obtained. An introduction to the theory of DMA and pharmaceutical and biomedical examples of the use of this technique are presented in this concise review. In particular, examples are described in which DMA has been employed to quantify the storage and loss moduli of polymers, polymer damping properties, glass transition temperature(s), rate and extent of curing of polymer systems, polymer-polymer compatibility and identification of sol-gel transitions. Furthermore, future applications of the technique for the optimisation of the formulation of pharmaceutical and biomedical systems are discussed. (C) 1999 Elsevier Science B.V. All rights reserved.

New prognostic markers, determined using gene expression analyses, reveal two distinct subtypes of chronic myelomonocytic leukaemia patients

Chronic myelomonocytic leukaemia (CMML) is a heterogeneous haematopoietic disorder characterized by myeloproliferative or myelodysplastic features. At present, the pathogenesis of this malignancy is not completely understood. In this study, we sought to analyse gene expression profiles of CMML in order to characterize new molecular outcome predictors. A learning set of 32 untreated CMML patients at diagnosis was available for TaqMan low-density array gene expression analysis. From 93 selected genes related to cancer and cell cycle, we built a five-gene prognostic index after multiplicity correction. Using this index, we characterized two categories of patients with distinct overall survival (94% vs. 19% for good and poor overall survival, respectively; P = 0.007) and we successfully validated its strength on an independent cohort of 21 CMML patients with Affymetrix gene expression data. We found no specific patterns of association with traditional prognostic stratification parameters in the learning cohort. However, the poor survival group strongly correlated with high-risk treated patients and transformation to acute myeloid leukaemia. We report here a new multigene prognostic index for CMML, independent of the gene expression measurement method, which could be used as a powerful tool to predict clinical outcome and help physicians to evaluate criteria for treatments.

Liver abnormalities associated with celiac sprue. How common are they, what is their significance, and what do we do about them?

We prospectively measured serum alkaline phosphatase (ALP), aspartate and alanine transaminase (AST/ALT), and tested sera for antinuclear, smooth-muscle, and antimitochondrial antibodies (ANA, SMA, AMA) in our patients with celiac sprue to determine the prevalence of associated liver abnormalities and its relevance to clinical management. Of 129 patients, ALP was the only elevated enzyme in 12 (9%) and in most cases was not thought to reflect significant liver disease. Seventeen (13%) had elevated AST and/or ALT with normal ALP. Levels normalized in 15 patients after dietary gluten exclusion and remained elevated in 2 noncompliers. Two patients (2%) with elevated AST, ALT, and ALP underwent further investigation: one had negative autoantibodies, liver biopsy, and endoscopic retrograde cholangiography and the other had ANA-positive chronic active hepatitis; enzymes in both cases improved with a gluten-free diet. There was no significant association between elevated AST/ALT and positive ANA/SMA; no patient had AMA. Abnormalities in liver enzymes are common in celiac sprue, but usually respond to dietary gluten exclusion. We propose that there is no need for invasive liver investigation in these patients unless there is more specific evidence of primary liver disease or failure of dietary response.

BRCA1 Immunohistochemical Staining as a Prognostic Indicator in Uterine Serous Carcinoma

OBJECTIVES: The objective of this study was to investigate the relationship between BRCA1 protein expression, as determined by immunohistochemistry, and clinical outcome in uterine serous carcinoma (USC). METHODS: A tissue microarray containing duplicate cores of 73 cases of USC was immunohistochemically stained with mouse anti-BRCA1 (Ab-1) mouse monoclonal (MS110) antibody. The cores were scored in a semiquantitative manner evaluating both the distribution and intensity of nuclear staining. BRCA1 protein expression was correlated with progression-free survival. RESULTS: Seventy-two of 73 cases were assessable, and there was a statistically significant decreased progression-free survival for those cases exhibiting tumor cell nuclei staining of 76% or greater (P = 0.0023). CONCLUSIONS: Our study illustrates that a low level of BRCA1 protein expression is a favorable prognostic indicator in USC, similar to what is observed in high-grade serous ovarian carcinoma. Further studies should focus on the BRCA1 status of USCs at a molecular level and also investigate whether BRCA1 protein expression is associated with response to chemotherapy in USC.

HOXA/PBX3 knockdown impairs growth and sensitizes cytogenetically normal acute myeloid leukemia cells to chemotherapy

The cytogenetically normal subtype of acute myeloid leukemia (CN-AML) is associated with Intermediate risk which complicates therapeutic options. Lower overall HOX/TALE expression appears to correlate with more favorable prognosis/better response to treatment in some leukemias and solid cancer. The functional significance of the associated gene expression and response to chemotherapy is not known. Three independent microarray datasets obtained from large patient cohorts along with quantitative PCR validation was used to identify a four gene HOXA/TALE signature capable of prognostic stratification. Biochemical analysis was used to identify interactions between the four encoded proteins and targeted knockdown used to examine the functional importance of sustained expression of the signature in leukemia maintenance and response to chemotherapy. An eleven HOXA/TALE code identified in an Intermediate risk (n=315) compared to a Favourable group of patients (n=105) was reduced to a four gene signature of HOXA6, HOXA9, PBX3 and MEIS1 by iterative analysis of independent platforms. This signature maintained the Favorable/Intermediate risk partition and where applicable, correlated with overall survival in CN-AML. We further show that cell growth and function is dependent on maintained levels of these core genes and that direct targeting of HOXA/PBX3 sensitizes CN-AML cells to standard chemotherapy. Together the data support a key role for HOXA/TALE in CN-AML and demonstrate that targeting of clinically significant HOXA/PBX3 elements may provide therapeutic benefit to these patients.