Armes J.E.,Anatomical Pathology |
Davies C.M.,Anatomical Pathology |
Wallace S.,Anatomical Pathology |
Taheri T.,Anatomical Pathology |
And 2 more authors.
Pathology | Year: 2013
Aims: To examine AGR2 expression in ovarian epithelial tumours and its potential role as a prognostic biomarker. Methods: Tissue microarray technology and immunohistochemistry were used to investigate AGR2 expression in ovarian epithelial tumours and in non-neoplastic ovarian epithelium. For the carcinomas, the expression data were correlated with clinicopathological features and disease outcome. Results: AGR2 was expressed in all benign, borderline and malignant mucinous tumours and in a high proportion of endometrioid carcinomas (89%). AGR2 was frequently expressed in benign and borderline serous tumours (76% and 95%, respectively), but less commonly expressed in serous carcinomas (19%, p<0.001). AGR2 expression in ovarian carcinomas was inversely correlated with p53 and p16 expression (p=0.002 and p<0.001, respectively), and independent of CA125 expression. AGR2 expression was more common in carcinomas which presented with earlystage compared with late-stage disease (p=0.009) and AGR2 was expressed in carcinomas with better outcome (22% relapse rate of AGR2 positive cancers compared with 74% relapse rate for AGR2 negative cancers, p=0.001). Conclusion: Our findings indicate that AGR2 expression is associated with mucinous carcinomas and their precursor lesions and endometrioid cancers. Additionally, AGR2 may be an important prognostic biomarker of ovarian cancer. © 2012 Royal College of Pathologists of Australasia. Source
Healthlinx Ltd | Date: 2012-01-03
Medical and diagnostic testing apparatus, instruments and articles, namely, a multimarker assay test for the detection of ovarian cancer.
HEALTHLINX Ltd | Date: 2014-08-06
The present invention relates generally to the field of obesity and complications arising therefrom and in particular to the control of obesity by inhibiting adipogenesis and related processes.
Autelitano D.J.,HealthLinx Ltd. |
Raineri L.,HealthLinx Ltd. |
Knight K.,HealthLinx Ltd. |
Bannister K.,HealthLinx Ltd. |
Rice G.E.,University of Queensland
Journal of Translational Medicine | Year: 2012
Background: Concomitant with the development of in vitro diagnostic multivariate index assays (IVDMIAs) to improve the diagnostic efficiency of ovarian cancer detection is the need to identify appropriate biostatistical approaches to assess improvements in risk predication. In this study, we assessed the utility of three different approaches for comparing diagnostic efficiency of an ovarian cancer multivariate assay in a retrospective case - control phase 2 biomarker trial. The control cohort included both disease-free women and women with benign gynecological conditions to more accurately reflect the target population of symptomatic women.Methods: The study cohort comprised plasma samples from 244 healthy controls, 223 women with benign gynecological conditions, 53 borderline ovarian cancer cases and 222 women with malignant epithelial ovarian cancer. A multivariate classification model was developed that incorporated plasma concentrations of CA125, C-reactive protein (CRP), serum amyloid-A (SAA), interleukin-6 (IL6) and interleukin-8 (IL8) that were measured using in vitro diagnostics assays on medical device approved clinical analysers. The posterior probability values derived from the implemented algorithm were used for comparisons of the diagnostic performance between the multianalyte panel and CA125 using multiple methods; area under the curve (AUC) of the receiver operating characteristics curve, integrated discrimination improvement (IDI) and net reclassification improvement (NRI).Results: Each of the biomarkers displayed significantly elevated plasma concentrations in malignant ovarian cancer patients compared with either benign or control subjects. For the discrimination of borderline and malignant ovarian cancer from control and benign subjects, the multivariate classification model showed a significantly greater AUC than that for CA125 alone (88.4% versus 84.3%, respectively, p < 0.001). At a posterior probability threshold of 0.5, the IVDMIA delivered a specificity of 92.3% and a sensitivity of 76.4%. When set at a specificity of 95%, the multimarker diagnostic delivered a sensitivity of 69.5% compared with 62.5% for CA125. Enhanced diagnostic performance of the IVDMIA over the use of CA125 alone was confirmed statistically by alternative comparisons using IDI and NRI.Conclusions: This study confirms in an independent sample set that a blood-based multianalyte assay has significant advantages over CA125 for distinguishing symptomatic women with borderline and malignant ovarian cancer from controls or those with benign disease. © 2012 Autelitano et al; licensee BioMed Central Ltd. Source
Edgell T.A.,HealthLinx Ltd. |
Barraclough D.L.,University of Liverpool |
Rajic A.,HealthLinx Ltd. |
Dhulia J.,HealthLinx Ltd. |
And 7 more authors.
Clinical Science | Year: 2010
Ovarian cancer is often asymptomatic and is diagnosed at an advanced stage with poor survival rates, thus there is an urgent need to develop biomarkers for earlier detection of ovarian cancer. In the present study, we demonstrate for the first time that the previously reported metastasis-inducing protein AGR2 (anterior gradient protein 2) can be detected in the blood of ovarian cancer patients. Using a newly developed ELISA, we show significantly increased concentrations of AGR2 protein in plasma from cancer patients relative to normal controls. Plasma AGR2 concentrations were highest in stages II and III ovarian cancer patients and were similarly elevated in patients with both serous and non-serous tumours. The identification of elevated plasma concentrations of AGR2 may provide a useful biomarker to aid in the discrimination of normal and ovarian cancer patients particularly when used in combination with CA125. © The Authors. Source