The genetic architecture of breast papillary lesions as a predictor of progression to carcinoma.

Intraductal papillomas (IDP) are challenging breast findings because of their variable risk of progression to malignancy. The molecular events driving IDP development and genomic features of malignant progression are poorly understood. In this study, genome-wide CNA and/or targeted mutation analysis was performed on 44 cases of IDP, of which 20 cases had coexisting ductal carcinoma in situ (DCIS), papillary DCIS or invasive ductal carcinoma (IDC).

Cost-effectiveness analysis of imaging surveillance in stage II and III extremity soft tissue sarcoma: an Australian perspective.

Background: Surveillance imaging is used to detect local and/or distant recurrence following primary treatment of localised soft tissue sarcoma (STS), however evidence supporting optimal surveillance modality or frequency is lacking. We used prospectively collected sarcoma data to describe current surveillance imaging practice in patients with AJCC stage II and III extremity STS and evaluate its cost-effectiveness.

Methods: From three selected Australian sarcoma referral centres, we identified patients with stage II and III extremity STS treated between 2009 and 2013.

The role of multiparametric flow cytometry in the detection of minimal residual disease in acute leukaemia.

Flow cytometry is the most accessible method for minimal residual disease (MRD) detection due to its availability in most haematological centres. Using a precise combination of different antibodies, immunophenotypic detection of MRD in acute leukaemia can be performed by identifying abnormal combinations or expressions of antigens on malignant cells at diagnosis, during and post treatment. These abnormal phenotypes, referred to as leukaemia-associated immunophenotypes (LAIPs) are either absent or expressed at low frequency in normal bone marrow (BM) cells and are used to monitor the behaviour and quantitate the amount of residual disease following treatment.

Development and validation of a gene expression tumour classifier for cancer of unknown primary.

Accurate identification of the primary tumour in cancer of unknown primary (CUP) is required for effective treatment selection and improved patient outcomes. The aim of this study was to develop and validate a gene expression tumour classifier and integrate it with histopathology to identify the likely site of origin in CUP.RNA was extracted from 450 formalin fixed, paraffin embedded samples of known origin comprising 18 tumour groups.