Palliative radiotherapy is effective for both well- and poorly differentiated neuroendocrine neoplasms.

INTRODUCTION: The outcomes of palliative radiation therapy (RT) for neuroendocrine neoplasms (NEN) are seldom reported. We investigated outcomes following palliative radiotherapy in a cohort of patients with NENs. We hypothesised that well-differentiated NEN will be less likely to have a clinical response than poorly differentiated NEN. METHODS: Patients who received at least one course of palliative RT were identified using the New Zealand NETwork! Registry. Patients with Merkel cell carcinoma, pulmonary small cell carcinoma or asymptomatic patients were excluded. Clinical response to RT within 90 days and overall survival were analysed alongside clinical variables (fractionation, RT site, tumour differentiation and tumour primary site). RESULTS: The cohort comprised 79 patients, with 147 courses of palliative RT delivered. Clinical response was measurable for 100 courses, with clinical response rate of 76%. A course delivered to a well-differentiated NEN was associated with 2.02-fold (95% CI 0.67, 6.12; P = 0.21) increase in odds of a clinical response compared to a poorly differentiated NEN. Median overall survival from the first fraction of RT was 94 days (95% CI 80, 138 days). Overall survival was higher in well-differentiated NEN than in poorly differentiated NEN (HR 0.2, 95% CI 0.10-0.40, P-value < 0.001); 30-day mortality was 7%. There were significantly reduced odds of clinical response for non-bone sites, and for courses >10 fractions compared to a single fraction. CONCLUSION: Palliative RT is an appropriate option for management of symptoms in patients with both well- and poorly differentiated metastatic NEN.

Interpretation of the role of germline and somatic non-coding mutations in cancer: expression and chromatin conformation informed analysis.

BACKGROUND: There has been extensive scrutiny of cancer driving mutations within the exome (especially amino acid altering mutations) as these are more likely to have a clear impact on protein functions, and thus on cell biology. However, this has come at the neglect of systematic identification of regulatory (non-coding) variants, which have recently been identified as putative somatic drivers and key germline risk factors for cancer development. Comprehensive understanding of non-coding mutations requires understanding their role in the disruption of regulatory elements, which then disrupt key biological functions such as gene expression. MAIN BODY: We describe how advancements in sequencing technologies have led to the identification of a large number of non-coding mutations with uncharacterized biological significance. We summarize the strategies that have been developed to interpret and prioritize the biological mechanisms impacted by non-coding mutations, focusing on recent annotation of cancer non-coding variants utilizing chromatin states, eQTLs, and chromatin conformation data. CONCLUSION: We believe that a better understanding of how to apply different regulatory data types into the study of non-coding mutations will enhance the discovery of novel mechanisms driving cancer.

Tailoring a rapid autopsy protocol to explore cancer evolution: a patient collaboration.

Genomic analysis of tissues from rapid autopsy programmes has transformed our understanding of cancer. However, these programmes are not yet established in New Zealand. Our neuroendocrine tumour research group, NETwork!, received a request from a patient wishing to donate tumour tissues post-mortem. This viewpoint article summarises the ethical, logistical and social process undertaken to accept this patient's generous donation, and highlights the scientific and educational value of such a gift.

Re-programming of Pseudomonas syringae pv. actinidiae gene expression during early stages of infection of kiwifruit.

BACKGROUND: Pseudomonas syringae is a widespread bacterial species complex that includes a number of significant plant pathogens. Amongst these, P. syringae pv. actinidiae (Psa) initiated a worldwide pandemic in 2008 on cultivars of Actinidia chinensis var. chinensis. To gain information about the expression of genes involved in pathogenicity we have carried out transcriptome analysis of Psa during the early stages of kiwifruit infection. RESULTS: Gene expression in Psa was investigated during the first five days after infection of kiwifruit plantlets, using RNA-seq. Principal component and heatmap analyses showed distinct phases of gene expression during the time course of infection. The first phase was an immediate transient peak of induction around three hours post inoculation (HPI) that included genes that code for a Type VI Secretion System and nutrient acquisition (particularly phosphate). This was followed by a significant commitment, between 3 and 24 HPI, to the induction of genes encoding the Type III Secretion System (T3SS) and Type III Secreted Effectors (T3SE). Expression of these genes collectively accounted for 6.3% of the bacterial transcriptome at this stage. There was considerable variation in the expression levels of individual T3SEs but all followed the same temporal expression pattern, with the exception of hopAS1, which peaked later in expression at 48 HPI. As infection progressed over the time course of five days, there was an increase in the expression of genes with roles in sugar, amino acid and sulfur transport and the production of alginate and colanic acid. These are both polymers that are major constituents of extracellular polysaccharide substances (EPS) and are involved in biofilm production. Reverse transcription-quantitative PCR (RT-qPCR) on an independent infection time course experiment showed that the expression profile of selected bacterial genes at each infection phase correlated well with the RNA-seq data. CONCLUSIONS: The results from this study indicate that there is a complex remodeling of the transcriptome during the early stages of infection, with at least three distinct phases of coordinated gene expression. These include genes induced during the immediate contact with the host, those involved in the initiation of infection, and finally those responsible for nutrient acquisition.

A collection of annotated and harmonized human breast cancer transcriptome datasets, including immunologic classification.

The increased application of high-throughput approaches in translational research has expanded the number of publicly available data repositories. Gathering additional valuable information contained in the datasets represents a crucial opportunity in the biomedical field. To facilitate and stimulate utilization of these datasets, we have recently developed an interactive data browsing and visualization web application, the Gene Expression Browser (GXB). In this note, we describe a curated compendium of 13 public datasets on human breast cancer, representing a total of 2142 transcriptome profiles. We classified the samples according to different immune based classification systems and integrated this information into the datasets. Annotated and harmonized datasets were uploaded to GXB. Study samples were categorized in different groups based on their immunologic tumor response profiles, intrinsic molecular subtypes and multiple clinical parameters. Ranked gene lists were generated based on relevant group comparisons. In this data note, we demonstrate the utility of GXB to evaluate the expression of a gene of interest, find differential gene expression between groups and investigate potential associations between variables with a specific focus on immunologic classification in breast cancer. This interactive resource is publicly available online at: http://breastcancer.gxbsidra.org/dm3/geneBrowser/list.

AHNAK is downregulated in melanoma, predicts poor outcome, and may be required for the expression of functional cadherin-1.

The aim of this study was to further our understanding of the transformation process by identifying differentially expressed proteins in melanocytes compared with melanoma cell lines. Tandem mass spectrometry incorporating iTRAQ reagents was used as a screen to identify and comparatively quantify the expression of proteins in membrane-enriched samples isolated from primary human melanocytes or three melanoma cells lines. Real-time PCR was used to validate significant hits. Immunohistochemistry was used to validate the expression of proteins of interest in melanocytes in human skin and in melanoma-infiltrated lymph nodes. Publically available databases were examined to assess mRNA expression and correlation to patient outcome in a larger cohort of samples. Finally, preliminary functional studies were carried out using siRNAs to reduce the expression of a protein of interest in primary melanocytes and in a keratinocyte cell line. Two proteins, AHNAK and ANXA2, were significantly downregulated in the melanoma cell lines compared with melanocytes. Downregulation was confirmed in tumor cells in a subset of human melanoma-infiltrated human lymph nodes compared with melanocytes in human skin. Examination of Gene Expression Omnibus database data sets suggests that downregulation of AHNAK mRNA and mutation of the AHNAK gene are common in metastatic melanoma and correlates to a poor outcome. Knockdown of AHNAK in primary melanocytes and in a keratinocyte cell line led to a reduction in detectable cadherin-1. This is the first report that we are aware of which correlates a loss of AHNAK with melanoma and poor patient outcome. We hypothesize that AHNAK is required for the expression of functional cadherin-1.