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Background Idiopathic pulmonary fibrosis (IPF) is a chronic interstitial lung disease characterized by fibrosis and progressive loss of lung function. The pathophysiological pathways involved in IPF are not well understood. Abnormal lipid metabolism has been described in various other chronic lung diseases including asthma and chronic obstructive pulmonary disease (COPD). However, its potential role in IPF pathogenesis remains unclear. Methods In this study, we used ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) to characterize lipid changes in plasma derived from IPF patients with stable and progressive disease. We further applied a data-independent acquisition (DIA) technique called SONAR, to improve the specificity of lipid identification. Results Statistical modelling showed variable discrimination between the stable and progressive subjects, revealing differences in the detection of triglycerides (TG) and phosphatidylcholines (PC) between progressors and stable IPF groups, which was further confirmed by mass spectrometry imaging (MSI) in IPF tissue. Conclusion This is the first study to characterise lipid metabolism between stable and progressive IPF, with results suggesting disparities in the circulating lipidome with disease progression.

Chromosomal analysis is traditionally performed by karyotyping on metaphase spreads, or by fluorescent in situ hybridization (FISH) on interphase cells or metaphase spreads. Flow cytometry was introduced as a new method to analyze chromosomes number (ploidy) and structure (telomere length) in the 1970s with data interpretation largely based on fluorescence intensity. This technology has had little uptake for human cytogenetic applications primarily due to analytical challenges. The introduction of imaging flow cytometry, with the addition of digital images to standard multi-parametric flow cytometry quantitative tools, has added a new dimension. The ability to visualize the chromosomes and FISH signals overcomes the inherent difficulties when the data is restricted to fluorescence intensity. This field is now moving forward with methods being developed to assess chromosome number and structure in whole cells (normal and malignant) in suspension. A recent advance has been the inclusion of immunophenotyping such that antigen expression can be used to identify specific cells of interest for specific chromosomes and their abnormalities. This capability has been illustrated in blood cancers, such as chronic lymphocytic leukemia and plasma cell myeloma. The high sensitivity and specificity achievable highlights the potential imaging flow cytometry has for cytogenomic applications (i.e., diagnosis and disease monitoring). This review introduces and describes the development, current status, and applications of imaging flow cytometry for chromosomal analysis of human chromosomes.

Chronic obstructive pulmonary disease (COPD) is characterised by airway inflammation and progressive airflow limitation, whereas idiopathic pulmonary fibrosis (IPF) is characterised by a restrictive pattern due to fibrosis and impaired gas exchange. We undertook metabolomic analysis of blood samples in IPF, COPD and healthy controls (HC) to determine differences in circulating molecules and identify novel pathogenic pathways. An untargeted metabolomics using an ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometer (UHPLC-QTOF-MS) was performed to profile plasma of patients with COPD (n = 21), and IPF (n = 24) in comparison to plasma from healthy controls (HC; n = 20). The most significant features were identified using multiple database matching. One-way ANOVA and variable importance in projection (VIP) scores were also used to highlight metabolites that influence the specific disease groups. Non-polar metabolites such as fatty acids (FA) and membrane lipids were well resolved and a total of 4805 features were identified. The most prominent metabolite composition differences in lipid mediators identified at ∼2-3 fold higher in both diseases compared to HC were palmitoleic acid, oleic acid and linoleic acid; and dihydrotestosterone was lower in both diseases. We demonstrated that COPD and IPF were characterised by systemic changes in lipid constituents such as essential FA sampled from circulating plasma.

Idiopathic pulmonary fibrosis (IPF) is a chronic disease characterised by progressive decline in pulmonary function. The rate of decline can vary, with some patients remaining stable over longer periods of time and others rapidly progressing [1]. tThe variable progression of this disease makes it difficult to elucidate pathogenic pathways involved in the initiation and progression of IPF. Advances in high-throughput gene-expression analyses have led to improvements in our understanding of disease biology and prognostic gene signatures. We hypothesise that IPF has a unique circulatory transcriptional profile compared to healthy controls, with additional differences between stable and progressive disease likely related to disease pathogenesis. Footnotes This manuscript has recently been accepted for publication in the European Respiratory Journal . It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJ online. Please open or download the PDF to view this article. Conflict of interest: Miss Clynick has nothing to disclose. Conflict of interest: Dr. Jo has nothing to disclose. Conflict of interest: Dr. Corte has nothing to disclose. Conflict of interest: Dr. Glaspole has nothing to disclose. Conflict of interest: Dr. Grainge has nothing to disclose. Conflict of interest: Dr. Hopkins has nothing to disclose. Conflict of interest: Dr. Reynolds has nothing to disclose. Conflict of interest: Dr. Chapman has nothing to disclose. Conflict of interest: Dr. Walters has nothing to disclose. Conflict of interest: Dr. Zappala has nothing to disclose. Conflict of interest: Dr. Keir has nothing to disclose. Conflict of interest: Dr. Cooper has nothing to disclose. Conflict of interest: Dr. Mahar has nothing to disclose. Conflict of interest: Dr. Ellis has nothing to disclose. Conflict of interest: Dr. Goh has nothing to disclose. Conflict of interest: Dr. Baltic has nothing to disclose. Conflict of interest: Miss Ryan has nothing to disclose. Conflict of interest: Dr. Tan has nothing to disclose. Conflict of interest: Dr. Moodley has nothing to disclose.

BackgroundIdiopathic pulmonary fibrosis (IPF) is a progressive lung disease in which circulatory biomarkers have the potential for guiding management in clinical practice. We assessed the prognostic role of serum biomarkers in three independent IPF cohorts: Australian Idiopathic Pulmonary Fibrosis Registry (AIPFR), Trent Lung Fibrosis (TLF) and Prospective Observation of Fibrosis in the Lung Clinical Endpoints (PROFILE).MethodsIn the AIPFR cohort, candidate proteins were assessed by ELISA as well as in an unbiased proteomic approach. LASSO (least absolute shrinkage and selection operator) regression was used to restrict the selection of markers that best accounted for the progressor phenotype at 1 year in the AIPFR cohort, and subsequently prospectively selected for replication in the validation TLF cohort and assessed retrospectively in the PROFILE cohort. Four significantly replicating biomarkers were aggregated into a progression index model based on tertiles of circulating concentrations.Results189 participants were included in the AIPFR cohort, 205 participants from the TLF cohort and 122 participants from the PROFILE cohort. Differential biomarker expression was observed by ELISA and replicated for osteopontin, matrix metallopeptidase-7, intercellular adhesion molecule-1 and periostin for those with a progressor phenotype at 1 year. Proteomic data did not replicate. The progression index in the AIPFR, TLF and PROFILE cohorts predicted risk of progression, mortality and progression-free survival. A statistical model incorporating the progression index demonstrated the capacity to distinguish disease progression at 12 months, which was increased beyond the clinical GAP (gender, age and physiology) score model alone in all cohorts, and significantly so within the incidence-based TLF and PROFILE cohorts.ConclusionA panel of circulatory biomarkers can provide potentially valuable clinical assistance in the prognosis of IPF patients.

Idiopathic pulmonary fibrosis (IPF) is a chronic disease characterised by an overall poor prognosis. The rate of disease decline and progression to death can vary, with some patients remaining stable over longer periods of time and others displaying rapid progression [1, 2]. The highly heterogeneous nature of this disease makes it difficult to elucidate the pathways involved in the initiation and progression of IPF and what determines the clinical trajectory of these patients. Advances in high-throughput gene expression analyses have led to improvements in our understanding of disease biology with insights into prognostic and predictive gene signatures [3]. This study sought to characterise differences in gene expression profiles found in the circulation between “stable” and “progressive” IPF patients, to help identify relevant biomarkers that may provide insights into the pathogenesis of progressive IPF. Footnotes This manuscript has recently been accepted for publication in the European Respiratory Journal . It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJ online. Please open or download the PDF to view this article. Conflict of interest: Miss Clynick has nothing to disclose. Conflict of interest: Dr. Jo has nothing to disclose. Conflict of interest: Dr. Corte has nothing to disclose. Conflict of interest: Dr. Glaspole has nothing to disclose. Conflict of interest: Dr. Grainge has nothing to disclose. Conflict of interest: Dr. Hopkins has nothing to disclose. Conflict of interest: Dr. Reynolds has nothing to disclose. Conflict of interest: Dr. Chapman has nothing to disclose. Conflict of interest: Dr. Walters has nothing to disclose. Conflict of interest: Dr. Zappala has nothing to disclose. Conflict of interest: Dr. Keir has nothing to disclose. Conflict of interest: Dr. Cooper has nothing to disclose. Conflict of interest: Dr. Mahar has nothing to disclose. Conflict of interest: Dr. Ellis has nothing to disclose. Conflict of interest: Dr. Goh has nothing to disclose. Conflict of interest: Dr. Baltic has nothing to disclose. Conflict of interest: Miss Ryan has nothing to disclose. Conflict of interest: Dr. Tan has nothing to disclose. Conflict of interest: Dr. Moodley has nothing to disclose.

In recent years, there has been increasing use of BRAF-inhibiting drugs for the treatment of various malignancies, including melanoma. However, these agents are associated with the development of other nonmelanoma skin lesions, in particular squamoproliferative lesions such as keratoacanthomas (KAs), squamous cell carcinomas, and BRAF inhibitor-associated verrucous keratoses. The molecular pathogenesis of these lesions is of interest, not only for therapeutic reasons, but also for the insight it might provide into the development of similar lesions in a sporadic setting. We used next-generation sequencing to compare the mutational profiles of lesions after treatment with a BRAF inhibitor, with similar lesions arising sporadically. HRAS mutations were common among the BRAF inhibitor-induced lesions, being identified in 56%, compared with 14% of lesions in the sporadic group (P = 0.002). Thus, despite similar histomorphological appearances, the underlying molecular mechanisms may be different. In addition, within the BRAF inhibitor-associated group, the lesions designated as KAs and BRAF inhibitor-associated verrucous keratoses had a similar mutational profile (mutations in PIK3CA, APC, and HRAS), which was distinct to that seen in squamous cell carcinomas (FGFR3, CDKN2A, and STK11). We have previously noted histological overlap between KAs and BRAF inhibitor-associated verrucous keratoses, and this finding supports the notion that they may represent morphological or temporal variants of a single lesion type.

Background Carcinoma of unknown primary (CUP) is a metastatic epithelial malignancy in the absence of an identifiable primary tumour. Prognosis for patients with CUP is poor because treatment options are generally limited to broad spectrum chemotherapy. A shift towards personalised cancer management based on mutation profiling offers the possibility of new treatment paradigms. This study has explored whether actionable, oncogenic driver mutations are present in CUP that have potential to better inform treatment decisions. Methods Carcinoma of unknown primary cases (n = 21) were selected and DNA was isolated from formalin-fixed paraffin embedded sections prior to amplification and sequencing. Two distinct yet complementary targeted gene panels were used to assess variants in up to 76 known cancer-related genes for the identification of biologically relevant and actionable mutations. Results Variants were detected in 17/21 cases (81%) of which 11 (52%) were potentially actionable with drugs currently approved for use in known primary cancer types or undergoing clinical trials. The most common variants detected were in TP53 (47%), KRAS (12%), MET (12%) and MYC (12%). Differences at the molecular level were seen between common CUP histological subtypes. CUP adenocarcinomas and poorly differentiated carcinomas harboured the highest frequency of variants in genes involved in signal transduction pathways (e.g. MET, EGFR, HRAS, KRAS, and BRAF). In contrast, squamous cell carcinoma exhibited a higher frequency of variants in cell cycle control and DNA repair genes (e.g. TP53, CDKN2A and MLH1). Conclusion Taken together, mutations in biologically relevant genes were detected in the vast majority of CUP tumours, of which half provided a potentially novel treatment option not generally considered in CUP. Electronic supplementary material The online version of this article (10.1186/s12967-018-1564-x) contains supplementary material, which is available to authorized users.

The human epidermal growth factor receptor 2 (HER2) status in breast cancer is important for prognostic prediction and the determination of optimal treatment. Current methods rely on protein expression, as determined by immunohistochemistry (IHC), as well as gene amplification as determined by in situ hybridisation (ISH). We explored whether quantitative droplet digital PCR (ddPCR) can be used for the detection and absolute quantitation of HER2 mRNA. Digital droplet PCR (ddPCR) was performed for HER2 mRNA on 178 formalin-fixed paraffin-embedded (FFPE) breast cancer specimens. HER2 positive, equivocal and negative cases as defined by standard criteria were included and both core biopsies and tissue sections were assessed. HER2 positive cases contained significantly higher levels of HER2 mRNA (169–1,000,000 copies/µl) by ddPCR compared with equivocal (112–139 copies/µl, p = 0.025) and negative cases (6.2–644 copies/µl. p