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There is a growing appetite for large complex databases that integrate a range of personal, socio-demographic, health, genetic and financial information on individuals. It has been argued that 'Big Data' will provide the necessary catalyst to advance both biomedical research and health economics and outcomes research. However, it is important that we do not succumb to being data rich but information poor. This paper discusses the benefits and challenges of building Big Data, analysing Big Data and making appropriate inferences in order to advance cancer care, using Cancer 2015 (a prospective, longitudinal, genomic cohort study in Victoria, Australia) as a case study. Cancer 2015 has been linked to State and Commonwealth reimbursement databases that have known limitations. This partly reflects the funding arrangements in Australia, a country with both public and private provision, including public funding of private healthcare, and partly the legislative frameworks that govern data linkage. Additionally, linkage is not without time delays and, as such, achieving a contemporaneous database is challenging. Despite these limitations, there is clear value in using linked data and creating Big Data. This paper describes the linked Cancer 2015 dataset, discusses estimation issues given the nature of the data and presents panel regression results that allow us to make possible inferences regarding which patient, disease, genomic and treatment characteristics explain variation in health expenditure.

Ductal carcinoma in situ (DCIS) is a non-obligate precursor of invasive breast cancer and a frequent mammographic finding requiring treatment. Up to 25% of DCIS can recur and half of recurrences are invasive, but there are no reliable biomarkers for recurrence. We hypothesised that copy number aberrations could predict likelihood of recurrence. We analysed a cohort of pure DCIS cases treated only with wide local excision for genome-wide copy number and loss of heterozygosity using Affymetrix OncoScan MIP arrays. Cases included those without recurrence within 7 years (n = 25) and with recurrence between 1 and 5 years after diagnosis (n = 15). Pure DCIS were broadly similar in copy number changes compared with invasive breast cancer, with the consistent exception of a greater frequency of ERBB2 amplification in DCIS. There were no significant differences in age or ER status between the cases with a recurrence vs those without. Overall, the DCIS cases with recurrence had more copy number events than the DCIS without recurrence. The increased copy number appeared non-random with several genomic regions showing an increase in frequency in recurrent cases, including 20 q gain, ERBB2 amplification and 15q loss. Copy number changes may provide prognostic information for DCIS recurrence, but validation in additional cohorts is required.

Summary Background The clinical behaviour and prognosis of primary melanomas harbouring BRAF mutations is not fully understood. Objectives To investigate the effect of mutation status on primary melanoma growth rate and melanoma-specific survival (MSS). Methods A prospective cohort of 196 patients with stage I–III primary cutaneous melanoma were followed for a median of 92 months, pre-dating the institution of BRAF inhibitor therapy. Clinicopathological variables were correlated with mutation status and hazard ratios (HRs) estimated for MSS. Results Of 196 tumours, 77 (39·2%) were BRAF V600E, 10 (5·1%) BRAF V600K and 33 (16·8%) were NRAS mutant. BRAF V600E mutant melanomas were associated with favourable clinical characteristics and tended to be slower growing compared with BRAF V600K, NRAS mutant or BRAF/NRAS wild-type tumours (0·12 mm per month, 0·61 mm per month, 0·36 mm per month and 0·23 mm per month, respectively; P = 0·05). There were 39 melanoma deaths, and BRAF mutant melanomas were associated with poorer MSS in stage I–III disease [HR 2·60, 95% confidence interval (CI) 1·20–5·63; P = 0·02] and stage I–II disease (HR 3·39, 95% CI 1·12–10·22; P = 0·03) after adjusting for other prognostic variables. Considered separately, BRAF V600E mutant melanomas were strongly associated with MSS independently of thickness and nodal status (HR 3·89, 95% CI 1·67–9·09; P

The production and delivery of functional perforin (PRF; PRF1 gene) by cytotoxic lymphocytes maintains immune homeostasis and tumour immune surveillance. In humans, inheritance of the common PRF1 polymorphism, p.A91V, (c.272C>T) found in 8-9% of the Caucasian population, with another mutated allele resulting in reduced PRF function or trafficking, has been shown to result in hyperinflammatory diseases and/or haematological cancers. In this study, we sought to investigate the function of p.A91V on a wild-type (WT) perforin background. We first developed an assay that distinguishes the relative levels of transcription of individual PRF1 alleles, including p.A91V. The p.A91V allele was seen to be expressed at similar levels as the WT allele in primary human natural killer (NK) cells, ruling out that allelic expression imbalance influenced their function. We then demonstrated that the p.A91V mutation results in protein misfolding and an appreciable reduction in NK-cell cytotoxicity in healthy carriers of p.A91V. We propose that this level of cytotoxic dysfunction may readily account for the predisposition to immune-mediated disease in individuals homozygous for p.A91V. Also, the fact that monoallelic mutations of PRF1 decrease NK-cell cytotoxicity should be considered in individuals presenting with the manifestations of immune deficiency states that impinge on NK-cell cytotoxicity.

BACKGROUND DNA methylation is a potential source of disease biomarkers. Typically, methylation levels are measured at individual cytosine/guanine (CpG) sites or over a short region of interest. However, regions of interest often show heterogeneous methylation comprising multiple patterns of methylation (epialleles) on individual DNA strands. Heterogeneous methylation is largely ignored because digital methods are required to deconvolute these usually complex patterns of epialleles. Currently, only single-molecule approaches, such as next generation sequencing (NGS), can provide detailed epiallele information. Because NGS is not yet feasible for routine practice, we developed a single-molecule–like approach, named for epiallele quantification (EpiQ). METHODS EpiQ uses DNA ligases and the enhanced thermal instability of short (≤19 bases) mismatched DNA probes for the relative quantification of epialleles. The assay was developed using fluorescent detection on a gel and then adapted for electrochemical detection on a microfabricated device. NGS was used to validate the analytical accuracy of EpiQ. RESULTS In this proof of principle study, EpiQ detected with 90%–95% specificity each of the 8 possible epialleles for a 3-CpG cluster at the promoter region of the CDKN2B (p15) tumor suppressor gene. EpiQ successfully profiled heterogeneous methylation patterns in clinically derived samples, and the results were cross-validated with NGS. CONCLUSIONS EpiQ is a potential alternative tool for characterizing heterogeneous methylation, thus facilitating its use as a biomarker. EpiQ was developed on a gel-based assay but can also easily be adapted for miniaturized chip-based platforms.

Purpose: Low-grade serous ovarian carcinomas (LGSC) are Ras pathway-mutated, TP53 wild-type, and frequently associated with borderline tumors. Patients with LGSCs respond poorly to platinum-based chemotherapy and may benefit from pathway-targeted agents. High-grade serous carcinomas (HGSC) are TP53-mutated and are thought to be rarely associated with borderline tumors. We sought to determine whether borderline histology associated with grade 2 or 3 carcinoma was an indicator of Ras mutation, and we explored the molecular relationship between coexisting invasive and borderline histologies. Experimental Design: We reviewed >1,200 patients and identified 102 serous carcinomas with adjacent borderline regions for analyses, including candidate mutation screening, copy number, and gene expression profiling. Results: We found a similar frequency of low, moderate, and high-grade carcinomas with coexisting borderline histology. BRAF/KRAS alterations were common in LGSC; however, we also found recurrent NRAS mutations. Whereas borderline tumors harbored BRAF/KRAS mutations, NRAS mutations were restricted to carcinomas, representing the first example of a Ras oncogene with an obligatory association with invasive serous cancer. Coexisting borderline and invasive components showed nearly identical genomic profiles. Grade 2 cases with coexisting borderline included tumors with molecular features of LGSC, whereas others were typical of HGSC. However, all grade 3 carcinomas with coexisting borderline histology were molecularly indistinguishable from typical HGSC. Conclusion: Our findings suggest that NRAS is an oncogenic driver in serous ovarian tumors. We demonstrate that borderline histology is an unreliable predictor of Ras pathway aberration and underscore an important role for molecular classification in identifying patients that may benefit from targeted agents. Clin Cancer Res; 20(24); 6618–30. ©2014 AACR.

Background: Male breast cancer (MBC) is still poorly understood with a large proportion arising in families with a history of breast cancer. Genomic studies have focused on germline determinants of MBC risk, with minimal knowledge of somatic changes in these cancers. Methods: Using a TruSeq amplicon cancer panel, this study evaluated 48 familial MBCs (3 BRCA1 germline mutant, 17 BRCA2 germline mutant and 28 BRCAX) for hotspot somatic mutations and copy number changes in 48 common cancer genes. Results: Twelve missense mutations included nine PIK3CA mutations (seven in BRCAX patients), two TP53 mutations (both in BRCA2 patients) and one PTEN mutation. Common gains were seen in GNAS (34.1%) and losses were seen in GNAQ (36.4%), ABL1 (47.7%) and ATM (34.1%). Gains of HRAS (37.5% vs 3%, P=0.006), STK11 (25.0% vs 0%, P=0.01) and SMARCB1 (18.8% vs 0%, P=0.04) and the loss of RB1 (43.8% vs 13%, P=0.03) were specific to BRCA2 tumours. Conclusions: This study is the first to perform high-throughput somatic sequencing on familial MBCs. Overall, PIK3CA mutations are most commonly seen, with fewer TP53 and PTEN mutations, similar to the profile seen in luminal A female breast cancers. Differences in mutation profiles and patterns of gene gains/losses are seen between BRCA2 (associated with TP53/PTEN mutations, loss of RB1 and gain of HRAS, STK11 and SMARCB1) and BRCAX (associated with PIK3CA mutations) tumours, suggesting that BRCA2 and BRCAX MBCs may be distinct and arise from different tumour pathways. This has implications on potential therapies, depending on the BRCA status of MBC patients.

Background Male breast cancer (MBC) represents a poorly characterised group of tumours, the management of which is largely based on practices established for female breast cancer. However, recent studies demonstrate biological and molecular differences likely to impact on tumour behaviour and therefore patient outcome. The aim of this study was to investigate methylation of a panel of commonly methylated breast cancer genes in familial MBCs. Methods 60 tumours from 3 BRCA1 and 25 BRCA2 male mutation carriers and 32 males from BRCAX families were assessed for promoter methylation by methylation-sensitive high resolution melting in a panel of 10 genes (RASSF1A, TWIST1, APC, WIF1, MAL, RARβ, CDH1, RUNX3, FOXC1 and GSTP1). An average methylation index (AMI) was calculated for each case comprising the average of the methylation of the 10 genes tested as an indicator of overall tumour promoter region methylation. Promoter hypermethylation and AMI were correlated with BRCA carrier mutation status and clinicopathological parameters including tumour stage, grade, histological subtype and disease specific survival. Results Tumours arising in BRCA2 mutation carriers showed significantly higher methylation of candidate genes, than those arising in non-BRCA2 familial MBCs (average AMI 23.6 vs 16.6, p = 0.01, 45% of genes hypermethylated vs 34%, p

Epithelial-mesenchymal plasticity (EMP) is a dynamic process whereby epithelial carcinoma cells reversibly acquire morphological and invasive characteristics typical of mesenchymal cells, which facilitates metastasis. Understanding the methylation differences between epithelial and mesenchymal states may assist in the identification of optimal DNA methylation biomarkers for the blood-based monitoring of cancer. Methylation-sensitive high-resolution melting (MS-HRM) was used to examine the promoter methylation status of a panel of established and novel markers in a range of breast cancer cell lines spanning the epithelial-mesenchymal spectrum. Pyrosequencing was used to validate the MS-HRM results. The results indicate an overall distinction in methylation between epithelial and mesenchymal phenotypes. The mesenchymal expression markers VIM, DKK3 and CRABP1 were methylated in the majority of epithelial breast cancer cell lines while methylation of the epithelial expression markers GRHL2, MIR200C and CDH1 was restricted to mesenchymal cell lines. We also examined EMP association of several methylation markers that have been used to assess minimal residual disease. Markers such as AKR1B1 and APC methylation proved to be selective for epithelial breast cell lines, however RASSF1A, RARß, TWIST1 and SFRP2 methylation was seen in both epithelial and mesenchymal cell lines, supporting their suitability for a multi-marker panel.

Detection of circulating tumor DNA (ctDNA)4 is a frontier area in the therapeutic management of cancer patients. It has led to considerable interest among clinicians and patients because of its potential to lead to a more nuanced treatment of cancer. ctDNA is thought to derive from dying cancer cells, and the amounts in circulation reflect the overall tumor burden as well as the intrinsic biology of the tumor (1). Despite the excitement, and even hype, about the potential of ctDNA in cancer diagnostics and monitoring of the disease, there are still many challenges to be overcome. The chief technical challenge is that the levels of ctDNA are often very low, both in absolute numbers and as a fraction of the circulating free DNA. These low levels are to be expected, particularly when the tumor burden is low, as there is rapid clearance of ctDNA from the blood. Methodologies to detect ctDNA are largely based on tumor-specific point mutations, although other tumor-specific markers such as chromosome rearrangements (2, 3) and DNA methylation (4) are also under development. Many mutation-detection methodologies require minimum mutant allelic ratios in the range of 1%–10%. There have been multiple approaches used to increase the allelic ratios of mutant sequences by selective enrichment to bring them within the analytic sensitivity range of such methodologies. Some early approaches were based on the use of restriction enzymes chosen to cleave wild-type sequences before PCR amplification (5, 6), the use of primers that amplified only mutant sequences (amplification-refractory mutation system [ARMS]) (7), or the use of oligonucleotides that blocked the amplification of wild-type sequences (8). Later, ARMS was combined with the use of blocking oligonucleotides to more efficiently suppress the amplification of wild-type sequences. Such approaches, under carefully optimized conditions, could lead to the detection of specific …

Resistance to epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) against EGFR mutant lung adenocarcinoma develops after a median of nine to thirteen months. Upregulation of the interleukin-6 (IL-6)/Janus kinase (JAK)/signal transducers and activators of transcription (STAT) pathway may be a potential source of resistance to EGFR TKIs. We undertook a detailed assessment of the IL-6/JAK1/phosphorylated STAT3 (pSTAT3) pathway in resected lung adenocarcinoma specimens, with special interest in whether the presence of an EGFR mutation enriched for pSTAT3 positivity. Tumours from 143 patients with resected lung adenocarcinoma were assessed. EGFR and KRAS mutation status were scanned for with high-resolution melting and confirmed by polymerase chain reaction. Immunohistochemisty (IHC) was performed for IL-6, gp130, JAK1 and pSTAT3. Two methods for assigning IHC positivity were assessed (the presence of any positivity, and the presence of positivity at an H score >40). We found statistically significant associations between IL-6, JAK1 and pSTAT3 measured by IHC, consistent with the activation of the pathway in clinical specimens. No relationship was demonstrated between members of this pathway and oncogenic mutations in EGFR or KRAS. However, a proportion of tumours with EGFR mutations showed staining for IL-6, JAK1 and pSTAT3. No correlations with clinicopathologic features or survival outcomes were found for IL-6, JAK1 or pSTAT3 staining. The presence of EGFR or KRAS mutations did not enrich for the activation of IL-6, JAK1 or pSTAT3. pSTAT3 may still play a role in resistance to EGFR TKIs in clinical practice.

Introduction Osimertinib, a third-generation EGFR tyrosine kinase inhibitor has demonstrated efficacy in tumors harboring the EGFR T790M resistance mutation. Inevitably, resistance to third-generation inhibitors results in disease progression, with the EGFR C797S mutation being one of several resistance pathways identified to date. On the basis of preclinical data, we report what is the first known case of a patient harboring the T790M and C797S mutations in trans treated with combination gefitinib and osimertinib. Methods On development of progressive disease after multiple therapies, the patient's plasma was sequenced using the Oncomine Lung cfDNA Assay (Thermo Fisher Scientific, Waltham, MA). Subsequent monitoring of circulating tumor DNA in plasma was performed by droplet digital polymerase chain reaction. Results Sequencing showed that the T790M and C797S mutations were in trans. Within 2 weeks of commencement of combination therapy, rapid clinical improvement occurred. Accompanying this, a rapid decline in the C797S mutation subclone in plasma was detected. However, the levels of the EGFR exon 19 deletion driver mutation and the T790M resistance mutation in the circulating tumor DNA continued to rise and the patient died from progressive disease 6 weeks after commencement of combination therapy. There were no adverse events seen with the combination therapy. Conclusion This is, to the best of our knowledge, the first reported case of combination EGFR tyrosine kinase inhibitor therapy tailored to the allelic conformation of T790M and C797S mutation that resulted in brief clinical improvement without toxicity.

Multiplex bisulfite-PCR sequencing is a convenient and scalable method for the quantitative determination of the methylation state of target DNA regions. A challenge of this application is the presence of CpGs in the same region where primers are being placed. A common solution to the presence of CpGs within a primer-binding region is to substitute a base degeneracy at the cytosine position. However, the efficacy of different substitutions and the extent to which bias towards methylated or unmethylated templates may occur has never been evaluated in bisulfite multiplex sequencing applications. In response, we examined the performance of four different primer substitutions at the cytosine position of CpG’s contained within the PCR primers. In this study, deoxyinosine-, 5-nitroindole-, mixed-base primers and primers with an abasic site were evaluated across a series of methylated controls. Primers that contained mixed- or deoxyinosine- base modifications performed most robustly. Mixed-base primers were further selected to determine the conditions that induce bias towards methylated templates. This identified an optimized set of conditions where the methylated state of bisulfite DNA templates can be accurately assessed using mixed-base primers, and expands the scope of bisulfite resequencing assays when working with challenging templates.

There is increasing interest in gene expression analysis of either single cells or limited numbers of cells. One such application is the analysis of harvested circulating tumour cells (CTCs), which are often present in very low numbers. A highly efficient protocol for RNA extraction, which involves a minimal number of steps to avoid RNA loss, is essential for low input cell numbers. We compared several lysis solutions that enable reverse transcription (RT) to be performed directly on the cell lysate, offering a simple rapid approach to minimise RNA loss for RT. The lysis solutions were assessed by reverse transcription quantitative polymerase chain reaction (RT-qPCR) in low cell numbers isolated from four breast cancer cell lines. We found that a lysis solution containing both the non-ionic detergent (IGEPAL CA-630, chemically equivalent to Nonidet P-40 or NP-40) and bovine serum albumin (BSA) gave the best RT-qPCR yield. This direct lysis to reverse transcription protocol outperformed a column-based extraction method using a commercial kit. This study demonstrates a simple, reliable, time- and cost-effective method that can be widely used in any situation where RNA needs to be prepared from low to very low cell numbers.

False-positiveFormalin-fixed normal lung tissues and lung squamous cell carcinomas were tested to measure the frequency of false-positiveArtifactualBoth U:G and T:G lesions in formalin-fixed tissue are sources of false-positive

The tumor suppressor p16INK4a, one protein encoded by the INK4/ARF locus, is frequently absent in multiple cancers, including non-small cell lung cancer (NSCLC). Whereas increased methylation of the encoding gene (CDKN2A) accounts for its loss in a third of patients, no molecular explanation exists for the remainder. We unraveled an alternative mechanism for the silencing of the INK4/ARF locus involving the E3 ubiquitin ligase and transcriptional cofactor E6AP (also known as UBE3A). We found that the expression of three tumor suppressor genes encoded in the INK4/ARF locus (p15INK4b, p16INK4a, and p19ARF) was decreased in E6AP-/- mouse embryo fibroblasts. E6AP induced the expression of the INK4/ARF locus at the transcriptional level by inhibiting CDC6 transcription, a gene encoding a key repressor of the locus. Luciferase assays revealed that E6AP inhibited CDC6 expression by reducing its E2F1-dependent transcription. Chromatin immunoprecipitation analysis indicated that E6AP reduced the amount of E2F1 at the CDC6 promoter. In a subset of NSCLC samples, an E6AP-low/CDC6-high/p16INK4a-low protein abundance profile correlated with low methylation of the gene encoding p16INK4a (CDKN2A) and poor patient prognosis. These findings define a previously unrecognized tumor-suppressive role for E6AP in NSCLC, reveal an alternative silencing mechanism of the INK4/ARF locus, and reveal E6AP as a potential prognostic marker in NSCLC.

Improved understanding of molecular drivers of carcinogenesis has led to significant progress in the management of lung cancer. Patients with non-small-cell lung cancer (NSCLC) with anaplastic lymphoma kinase (ALK) gene rearrangements constitute about 4%-5% of all NSCLC patients. ALK+ NSCLC cells respond well to small molecule ALK inhibitors such as crizotinib; however, resistance invariably develops after several months of treatment. There are now several newer ALK inhibitors, with the next generation of agents targeting resistance mutations. In this review, we will discuss the prevalence and clinical characteristics of ALK+ lung cancer, current treatment options, and future directions in the management of this subset of NSCLC patients.

Male breast cancer is poorly understood with a large proportion arising in the familial context particularly with the BRCA2 germline mutation. As phenotypic and genotypic differences between sporadic and familial male breast cancers have been noted, we investigated the importance of a hypoxic drive in these cancers as this pathway has been shown to be of importance in familial female breast cancer. Expression of two major hypoxia-induced proteins, the hypoxia-inducible factor-1α (HIF1A) and the carbonic anhydrase IX (CA9), examined within a large cohort including 61 familial (3 BRCA1, 28 BRCA2, 30 BRCAX) and 225 sporadic male breast cancers showed that 31% of all male breast cancers expressed either HIF1A (25%) and/or CA9 (8%) in the combined cohort. Expression of HIF1A correlated with an increased incidence of a second-major malignancy (P=0.04), histological tumor type (P=0.005) and basal phenotype (P=0.02). Expression of CA9 correlated with age (P=0.004) in sporadic cases and an increased tumor size (P=0.003). Expression of HIF1A was prognostic for disease-specific survival in sporadic male breast cancers (HR: 3.8, 95% CI: 1.5-9.8, P=0.006) but not within familial male breast cancer, whereas CA9 was only prognostic in familial male breast cancers (HR: 358.0, 95% CI: 9.3-13781.7, P=0.002) and not in sporadic male breast cancer. This study found that hypoxic drive is less prevalent in male breast cancer compared with female breast cancer, possibly due to a different breast microenvironment. The prognostic impact of HIF1A is greatest in sporadic male breast cancers with an alternate dominant mechanism for the oncogenic drivers suggested in high risk familial male breast cancers.

// Gavin M. Wright 1 , Hongdo Do 2 , Jonathan Weiss 2 , Naveed Z. Alam 1 , Vivek Rathi 3 , Marzena Walkiewicz 4 , Thomas John 4 , Prudence A. Russell 3 , Alexander Dobrovic 2 1 University of Melbourne Department of Surgery, St Vincent’s Hospital Melbourne, Victoria, Australia. 2 Translational Genomics and Epigenomics Laboratory Ludwig Institute for Cancer Research Olivia Newton-John Cancer and Wellness Centre Heidelberg, Victoria, Australia. 3 Department of Anatomical Pathology St Vincent’s Hospital Melbourne, Victoria, Australia. 4 Ludwig Institute for Cancer Research, Olivia Newton-John Cancer and Wellness Centre Heidelberg, Victoria, Australia. 5 Department of Pathology, University of Melbourne, Melbourne, Victoria, Australia. Correspondence: Gavin M. Wright, email: // Keywords : BRAF, EGFR, KRAS, high resolution melting, polymerase chain reaction, tumor heterogeneity. Received : Febuary 25, 2014 Accepted : March 20, 2014 Published : March 22, 2014 Abstract Precision medicine depends on the accurate identification of actionable mutations in a tumor sample. It is unknown how heterogeneous the distribution of such mutations can be in a tumor. Morphological (i.e. histopathological) heterogeneity is well described in lung adenocarcinoma and has been specifically recognized in the most recent official clinico-pathological classification. The most predominant subtype present is now used to classify each lung adenocarcinoma. No molecular profile exists to explain the intratumoral differences in lung adenocarcinoma morphology, despite the consistently observed association between specific predominant subtypes and poorer survival. Given a recent proposal stratifying lung adenocarcinoma into subtypes of differing metastatic potential, we questioned the assumption that major mutations are present uniformly throughout tumors; especially those showing discrete different subtypes. We selected formalin-fixed paraffin embedded lung adenocarcinoma specimens that showed discrete areas of different subtypes, extracted subtype DNA samples from those areas and screened for mutations in hotspot regions of the EGFR , KRAS and BRAF genes using high resolution melting. Sanger sequencing was used to confirm all identified mutations. Chromogenic in situ hybridization (CISH) was used to identify mutant allele specific imbalances in tumors with EGFR mutations. Interestingly, we found that KRAS and BRAF mutations could be confined to morphological domains of higher grade. On the other hand, EGFR mutations were found through all histological subtypes in each tumor consistent with the driver status of this mutation. Intratumoral heterogeneity has major implications for tumorigenesis, chemoresistance and the role of histopathology in molecular screening for precision medicine. This study not only confirms that intratumoral mutational heterogeneity does occur, but also that it is associated with morphologically distinct regions in some tumors. From a practical perspective, small biopsies may not adequately represent a tumor’s full mutational profile, particularly for later arising but prognostically important mutations such as those in the KRAS and BRAF genes.

We have investigated the potential for the p16-cyclin D-CDK4/6-retinoblastoma protein pathway to be exploited as a therapeutic target in melanoma. In a cohort of 143 patients with primary invasive melanoma, we used fluorescence in situ hybridization to detect gene copy number variations (CNVs) in CDK4, CCND1, and CDKN2A and immunohistochemistry to determine protein expression. CNVs were common in melanoma, with gain of CDK4 or CCND1 in 37 and 18% of cases, respectively, and hemizygous or homozygous loss of CDKN2A in 56%. Three-quarters of all patients demonstrated a CNV in at least one of the three genes. The combination of CCND1 gain with either a gain of CDK4 and/or loss of CDKN2A was associated with poorer melanoma-specific survival. In 47 melanoma cell lines homozygous loss, methylation or mutation of CDKN2A gene or loss of protein (p16(INK) (4A) ) predicted sensitivity to the CDK4/6 inhibitor PD0332991, while RB1 loss predicted resistance.

Aim The potential beneficial interaction between erlotinib and chemotherapy may require sequencing or pharmacodynamic separation. The aim of this study was to evaluate the efficacy and tolerance of sequential erlotinib and gemcitabine versus gemcitabine monotherapy as first-line therapy in elderly or ECOG PS-2 patients with advanced non-small cell lung carcinoma. Methods The primary objective of this multicenter randomized Phase II study was progression-free survival (PFS). Secondary objectives were overall response rate (ORR), disease control rate, response duration, overall survival and safety. Patients were randomized to either gemcitabine (1250 mg/m2 Day 1, 8 q28 days) followed by erlotinib (150 mg/day on day 15 through day 28), (EG-arm), or gemcitabine monotherapy (1000 mg/m2 Days 1, 8, 15 q28 days), (G-arm) for up to six cycles. Results Fifty-four patients were recruited, 28 G-arm and 26 EG-arm. Overall, efficacy results were not significantly different between study arms. Median PFS and ORR for the G- versus EG-arms were 8.0 versus 10.3 weeks (hazard ratio 1.3; 95% confidence interval [0.63;2.68]; P = 0.48) and 7.1 versus 3.8 percent respectively (difference −3.30; 95% confidence interval [−17.5;10.9]). The majority of adverse events (AEs) in both arms were Grade 1–2. The commonest AEs recorded in the EG- and G-arms were rash-like events (65 percent) and nausea (42 percent) respectively. Four patients (17 percent) in EG-arm and five (16 percent) in G-arm experienced at least one treatment-related serious AE. Conclusions In this study, patients with non-small cell lung carcinoma at ECOG PS-2 or aged ≥70 years derived no efficacy advantage from sequential erlotinib in combination with gemcitabine relative to gemcitabine alone. No unexpected safety findings were noted.

CDKN2A (p16) disruption is reported as a frequent event in head and neck squamous cell carcinomas that confers poor prognosis. We investigated the frequency of different potential mechanisms of CDKN2A inactivation in oral tongue squamous cell carcinomas (OTSCC) and their impact on patient outcome. From a cohort of 153 OTSCC patients, 131 formalin fixed paraffin embedded blocks of pre-treatment primary tumours were suitable for further molecular analysis. We assessed CDKN2A (p16) levels by immunohistochemistry (IHC), promoter methylation status by methylation-sensitive high resolution melting, mutation status by Sanger sequencing, gene copy number variation by fluorescence in situ hybridisation, and correlated these with patient outcome. We found that the majority of OTSCC did not overexpress p16 (110/116, 95%), assessed by IHC. The frequency of CDKN2A mutations was 20% (21/103), homozygous loss was 7% (7/97), hemizygous loss 31% (30/97), and promoter methylation was 18% (20/113). We found no evidence of these mechanisms in 24/106 (23%) p16 IHC negative tumours. No significant correlation was identified between any potential mechanism of CDKN2A inactivation and clinical features, including smoking status and age. There was a non-significant trend for worse overall survival for p16 IHC negative patients versus positive patients (HR = 1.81, 95% CI = 0.44-7.47, p = 0.40). No relationship was found between mechanisms of CDKN2A disruption and patient outcome. In conclusion, we demonstrate that CDKN2A alteration is a frequent event in OTSCC tumourigenesis. However, no correlation was identified between different potential mechanisms of CDKN2A disruption and clinical characteristics or patient outcome.

We investigated if gene copy number (GCN) alterations of the epidermal growth factor receptor (EGFR), as detected by silver enhanced in situ hybridisation (SISH), could be used to select patients for EGFR mutation testing. Resected lung adenocarcinoma specimens with adequate tumour were identified. EGFR SISH was performed using the Ventana Benchmark Ultra platform. EGFR GCN was classified according to the Colorado Classification System. EGFR mutations were scanned by high resolution melting and confirmed by Sanger sequencing. Thirty-four of 96 tumours were EGFR SISH positive (35%), and 31 of 96 tumours harboured one or more EGFR mutations (32%). Of 31 EGFR-mutant tumours, 18 were EGFR SISH positive (58%). There was a statistically significant relationship between the presence of an EGFR mutation and EGFR GCN (p = 0.003). Thirteen of 31 EGFR-mutant tumours were EGFR SISH negative (42%), and 16 of 65 EGFR-wild type tumours were EGFR SISH positive (24%). The sensitivity, specificity, positive predictive value and negative predictive value were 58%, 75%, 52.9% and 79%, respectively. Despite a significant relationship between EGFR GCN alterations and EGFR mutations, our results indicate that EGFR GCN as detected by SISH is not a suitable way to select patients for EGFR mutation testing.

Introduction: Over 90% of breast cancers occur sporadically with no obvious hereditary factors at play, therefore highlighting the need for biomarkers that can identify women who are predisposed to developing breast cancer. DNA methylation of the BRCA1 promoter region is detectable at low levels in the peripheral blood of some women. This phenomenon is referred to as constitutional BRCA1 methylation. Peripheral blood methylation of the BRCA1 gene has been identified as a predisposition factor to the development of BRCA1 methylated tumors. We performed a case-control study to assess peripheral blood BRCA1 methylation from healthy women, and from women with breast cancer. This study aimed to establish the frequency of peripheral blood methylation of the BRCA1 gene in women with and without breast cancer, to further our understanding of the role of constitutional BRCA1 methylation in breast cancer predisposition. Methods: Constitutional BRCA1 methylation was assessed in peripheral blood DNA of breast cancer patients and healthy women. Whole blood DNA was obtained from healthy women (n=327 controls) and women with breast cancer (n=300 cases) as part of the LifePool Project. Blood was collected on the day of mammography with BreastScreen Victoria. We used a probe-based droplet digital PCR (ddPCR) assay designed to quantify methylated and unmethylated alleles at the BRCA1 promoter region. Results: Previous research using less-sensitive methodologies has reported a BRCA1 methylation frequency of 2-4% in peripheral blood of healthy women. In this study, there was no significant difference in the observed BRCA1 methylation frequency between cases and controls (6.6% and 6.4% respectively). The discrepancy between our observed methylation frequencies and previously reported data can be attributed to the higher sensitivity of the ddPCR methodology. Nevertheless, the level of BRCA1 methylation in cases was significantly higher than the level of methylation observed in controls, consistent with previous studies. In addition, the frequency of BRCA1 methylation was higher in women diagnosed with breast cancer under the age of 50 compared to women diagnosed over 50 years old (average methylation frequency = 12.5% and 5.3% respectively). Conclusions: ddPCR methodology enabled accurate quantification of methylated BRCA1 alleles in peripheral blood DNA down to less than 0.1%. In this selected population of women undergoing mammography, there was no difference in the frequency of detectable BRCA1 methylation between cases and controls. Once age was considered, detectable BRCA1 methylation showed an association with age of onset. Tumours for the women with breast cancer will be retrieved and tested for BRCA1 methylation, to further examine the link between the methylation observed in peripheral blood DNA and development of a BRCA1-methylated tumor. Citation Format: Basant Ebaid, Hongdo Do, Jia Min Pang, Lisa Devereux, Alexander Dobrovic. A case-control study of constitutional BRCA1 methylation in a mammographically screened cohort [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 823.

e20097 Background: Recent success with the use of checkpoint inhibition in SCLC has increased the importance of understanding the immunological tumour microenvironment. In many tumours gene expression profiling (GEP) of T-cell inflammation and IFN-gamma is correlated with response to checkpoint inhibitors. We present GEP results in a SCLC cohort and correlation of gene expression with IHC analysis of common checkpoints. Methods: SCLC tissue microarrays from 105 histologically confirmed SCLC specimens were scored for IHC staining of immune checkpoints on tumour and tumour infiltrating lymphocytes (TILs). A subgroup of 30 patients had sufficient tissue for GEP. Nanostring nCounter Pan-cancer immune panel, using the previously described RUVIII normalisation method, was used to examine GEP. A 28-gene IFN-G related signature was examined. Results: Median age 67y (range 53 – 86); male: 16/30 (53%); stage: limited 22/30 (73%), 5/30 (17%) extensive, 3/30 (10%) stage unknown. Significant heterogeneity was observed in gene expression. Pearson correlation co-efficients between IHC analysis and corresponding mRNA of PD-L1, PD-L2, LAG3 and TIM3, on both tumour and TILs, were not statistically significant. Significant positive correlation was found for mRNA levels of HAVCR2 (TIM3) with LAG3 and with PDCD1LG2 (PD-L2). As in the larger cohort, TIL co-expression of PD-L1, PD-L2, TIM3 and LAG3 were all associated with improved survival; med OS 89.3 v 15.7 mo; p < 0.01. The cohort clustered into 4 groups with respect to the IFN-G GEP. The group with the highest level of gene expression (5/30 pts, 16.7%) had numerically improved OS; 89.3 v 21.3 mo, p = 0.23. Conclusions: In this limited cohort, gene expression did not consistently correlate with IHC. Co-ordinated expression of T-cell inflamed/IFN-G immune checkpoints occurred in 16.7% SCLC and was associated with improved survival.

NUP98 is among the most promiscuously translocated genes in hematological diseases. Among the 28 known fusion partners, there are two categories: homeobox genes and non-homeobox genes. The homeobox fusion partners are well-studied in animal models, resulting in HoxA cluster overexpression and hematological disease. The non- homeobox fusion partners are less well studied. We created transgenic animal models for three NUP98 fusion genes (one homeobox, two non- homeobox), and show that in this system, the NUP98-homeobox fusion promotes self-renewal and aberrant gene expression to a significantly greater extent. We conclude that homeobox partners create more potent NUP98 fusion oncogenes than do non-homeobox partners.

BACKGROUND Formalin-fixed, paraffin-embedded (FFPE) tissues are routinely used for detecting mutational biomarkers in patients with cancer. A previous intractable challenge with FFPE DNA in genetic testing has been the high number of artifactual single-nucleotide changes (SNCs), particularly for the detection of low-level mutations. Pretreatment of FFPE DNA with uracil-DNA glycosylase (UDG) can markedly reduce these C:G>T:A SNCs with a small panel of amplicons. This procedure has implications for massively parallel sequencing approaches to mutation detection from DNA. We investigated whether sequence artifacts were problematic in amplicon-based massively parallel sequencing and what effect UDG pretreatment had on reducing these artifacts. METHODS We amplified selected amplicons from lung cancer FFPE DNAs using the TruSeq Cancer Panel. SNCs occurring at a frequency RESULTS Massively parallel sequencing of FFPE DNA samples showed multiple SNCs, predominantly C:G>T:A changes, with a significant proportion occurring above the BACKGROUND sequencing error (defined as 1%). UDG pretreatment markedly reduced C:G>T:A SNCs without affecting the detection of true somatic mutations. However, C:G>T:A changes within CpG dinucleotides were often resistant to the UDG treatment as a consequence of 5-methyl cytosine being deaminated to thymine rather than uracil. CONCLUSIONS UDG pretreatment greatly facilitates the accurate discrimination of mutations in FFPE samples by use of amplicon-based approaches. This is particularly important when working with samples with low tumor purity or for the assessment of mutational heterogeneity in tumors.

Background: Cetuximab can reverse chemotherapy resistance in colorectal cancer. This study evaluated the efficacy and safety of the combination of docetaxel and cetuximab as a second-line treatment in docetaxel-refractory oesophagogastric cancer. Methods: Patients received docetaxel 30 mg m−2 on days 1 and 8, every 3 weeks and cetuximab 400 mg m−2 on day 1, then 250 mg m−2 weekly. Biomarker mutation analysis was performed. Results: A total of 38 patients were enrolled. Response rates were PR 6% (95% CI 2–19%), s.d. 43% (95% CI 28–59%). Main grade 3/4 toxicities were febrile neutropenia, anorexia, nausea, diarrhoea, stomatitis, and acneiform rash. Median progression-free and overall survival were 2.1 and 5.4 months, respectively. A landmark analysis showed a trend to improved survival times with increased grade of acneiform rash. No KRAS, BRAF or PIK3CA mutations were observed. Conclusion: Cetuximab and docetaxel achieve modest responses rates, but maintain comparable survival times to other salvage regimens with low rates of toxicity.

It is now overwhelmingly clear that any comprehensive study of cancer genomes should address epigenetics. The study of cancer epigenetics has changed from a somewhat unrespectable fringe activity to a central place in the molecular understanding of carcinogenesis. Indeed, it is now often argued that the epigenetic changes in cancer are of greater importance than the genetic changes. It is clear that both genetic and epigenetic mechanisms are important and often interrelated. In this chapter, we seek to give an introduction to the essentials of cancer. As this is a rapidly growing area, it is now impossible to cover many of the seminal contributions and so the overview provided is necessarily colored by our own specific interests. While we have sought to include many original references, we have also cited other reviews to enable the reader to find out more on a given topic.

Identifying circulating tumour DNA (ctDNA) for monitoring of cancer therapy is dependent on the development of readily designed, sensitive cancer-specific DNA markers. Genomic rearrangements that are present in the vast majority of cancers provide such markers.Tumour DNA isolated from two fresh-frozen lung tumours underwent whole genome sequencing. Genomic rearrangements were detected using a new computational algorithm, GRIDSS. Four genomic rearrangements from each tumour were chosen for further study using rearrangement-specific primers. Six of the eight rearrangements tested were identified as tumour-specific, the remaining two were present in the germline. ctDNA was quantified using digital PCR for the tumour genomic rearrangements in patient blood. Interestingly, one of the patients had no detectable ctDNA either prior to or post surgery although the rearrangements were readily detectable in the tumour DNA.This study demonstrates the feasibility of using digital PCR based on genomic rearrangements for the monitoring of minimal residual disease. In addition, whole genome sequencing provided further information enabling therapeutic choices including the identification of a cryptic EGFR exon 19 deletion in one patient and the identification of a high somatic mutation load in the other patient. This approach can be used as a model for all cancers with rearranged genomes.

BACKGROUND Donor-specific cell-free DNA (dscfDNA) is increasingly being considered as a noninvasive biomarker to monitor graft health and diagnose graft rejection after solid-organ transplantation. However, current approaches used to measure dscfDNA can be costly and/or laborious. A probe-free droplet digital PCR (ddPCR) methodology using small deletion/insertion polymorphisms (DIPs) was developed to circumvent these limitations without compromising the quantification of dscfDNA. This method was called PHABRE-PCR (Primer to Hybridize across an Allelic BREakpoint-PCR). The strategic placement of one primer to hybridize across an allelic breakpoint ensured highly specific PCR amplification, which then enabled the absolute quantification of donor-specific alleles by probe-free ddPCR. METHODS dscfDNA was serially measured in 3 liver transplant recipients. Donor and recipient genomic DNA was first genotyped against a panel of DIPs to identify donor-specific alleles. Alleles that differentiated donor-specific from recipient-specific DNA were then selected to quantify dscfDNA in the recipient plasma. RESULTS Lack of amplification of nontargeted alleles confirmed that PHABRE-PCR was highly specific. In recipients who underwent transplantation, dscfDNA was increased at day 3, but decreased and plateaued at a low concentration by 2 weeks in the 2 recipients who did not develop any complications. In the third transplant recipient, a marked increase of dscfDNA coincided with an episode of graft rejection. CONCLUSIONS PHABRE-PCR was able to quantify dscfDNA with high analytical specificity and sensitivity. The implementation of a DIP-based approach permits surveillance of dscfDNA as a potential measure of graft health after solid-organ transplantation.

Background DNA methylation profiling of heterogeneous head and neck squamous cell carcinoma (HNSCC) cohorts has been reported to predict patient outcome. We investigated if a prognostic DNA methylation profile could be found in tumour tissue from a single uniform subsite, the oral tongue. The methylation status of 109 comprehensively annotated oral tongue squamous cell carcinoma (OTSCC) formalin-fixed paraffin-embedded (FFPE) samples from a single institution were examined with the Illumina HumanMethylation450K (HM450K) array. Data pre-processing, quality control and analysis were performed using R packages. Probes mapping to SNPs, sex chromosomes and unreliable probes were accounted for prior to downstream analyses. The relationship between methylation and patient survival was examined using both agnostic approaches and feature selection. The cohort was enlarged by incorporation of 331 The Cancer Genome Atlas (TCGA) HNSCC samples, which included 91 TCGA OTSCC samples with HM450K and survival data available. Results Given the use of FFPE-derived DNA, we defined different cohorts for separate analyses. Overall, similar results were found between cohorts. With an unsupervised approach, no distinct hypermethylated group of samples was identified and nor was a prognostic methylation profile identified. The use of multiple downstream feature selection approaches, including a linear models for microarray data (LIMMA), centroid feature selection (CFS), and recursive feature elimination (RFE) support vector machines, similarly failed to identify a significant methylation signature informative for patient prognosis or any clinicopathological data available. Furthermore, we were unable to confirm the prognostic methylation profiles or specific prognostic loci reported within the literature for HNSCC. Conclusions With genome-scale assessment of DNA methylation using HM450K in one of the largest OTSCC cohorts to date, we were unable to identify a hypermethylated group of tumours or a prognostic methylation signature. This suggests that either DNA methylation in isolation is not likely to be of prognostic value or larger cohorts are required to identify such a biomarker for OTSCC. Electronic supplementary material The online version of this article (doi:10.1186/s13148-016-0235-0) contains supplementary material, which is available to authorized users.

Background DNA methylation at a gene promoter region has the potential to regulate gene transcription. Patterns of methylation over multiple CpG sites in a region are often complex and cell type specific, with the region showing multiple allelic patterns in a sample. This complexity is commonly obscured when DNA methylation data is summarised as an average percentage value for each CpG site (or aggregated across CpG sites). True representation of methylation patterns can only be fully characterised by clonal analysis. Deep sequencing provides the ability to investigate clonal DNA methylation patterns in unprecedented detail and scale, enabling the proper characterisation of the heterogeneity of methylation patterns. However, the sheer amount and complexity of sequencing data requires new synoptic approaches to visualise the distribution of allelic patterns. Results We have developed a new analysis and visualisation software tool “Methpat”, that extracts and displays clonal DNA methylation patterns from massively parallel sequencing data aligned using Bismark. Methpat was used to analyse multiplex bisulfite amplicon sequencing on a range of CpG island targets across a panel of human cell lines and primary tissues. Methpat was able to represent the clonal diversity of epialleles analysed at specific gene promoter regions. We also used Methpat to describe epiallelic DNA methylation within the mitochondrial genome. Conclusions Methpat can summarise and visualise epiallelic DNA methylation results from targeted amplicon, massively parallel sequencing of bisulfite converted DNA in a compact and interpretable format. Unlike currently available tools, Methpat can visualise the diversity of epiallelic DNA methylation patterns in a sample. Electronic supplementary material The online version of this article (doi:10.1186/s12859-016-0950-8) contains supplementary material, which is available to authorized users.

AZD9291, a T790M specific epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI), has demonstrated impressive response rates in tumours harbouring the EGFR T790M resistance mutation. Emergence of resistance to AZD9291 has been shown to occur through several different mechanisms including the development of new mutations (e.g. C797S) in the EGFR tyrosine kinase domain. We studied two patients with paired tumour biopsies and blood samples pre- and post-progression on AZD9291 to explore possible resistance mechanisms. Pre- and Post-AZD9291 tumour biopsies as well as serial plasma samples were collected from two patients on the AURA clinical study (AZD9291 First Time in Patients Ascending Dose study). Droplet digital PCR (ddPCR) assays were used to quantify T790M, the driver EGFR mutation, and the C797S mutation in genomic DNA from paired tumour biopsies and plasma cell-free DNA. In the first patient, both EGFR T790M and L858R became undetectable in the plasma within 1 month after treatment with AZD9291. However, the T790M and the original L858R mutation re-emerged with radiologically confirmed resistance to AZD9291. In patient two, the levels of T790M were undetectable at the time of radiological resistance to AZD9291 but increasing levels of the original EGFR exon 19 deletion was detected. MET amplification was detected in a biopsy performed on progression. The EGFR C797S mutation was not detected in either patient at the time of relapse. ddPCR of cell free DNA enables real time monitoring of patients on 3rd generation TKIs. As resistance mechanisms are variable, monitoring levels of the initial activating EGFR mutation may facilitate more reliable detection of progression.

// Hongdo Do 1,§ , and Alexander Dobrovic 1,2,§ 1 Molecular Pathology Research and Development Laboratory, Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia 2 Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia 3 Department of Pathology, University of Melbourne, Parkville, Victoria, Australia § Joint corresponding authors Correspondence: Hongdo Do, email: // Alexander Dobrovic, email: // Keywords : FFPE, cancer biopsies, sequencing artefacts, EGFR mutation, BRAF mutation, closed-tube analysis Received : May 20, 2012, Accepted : May 21, 2012, Published : May 24, 2012 Abstract Non-reproducible sequence artefacts are frequently detected in DNA from formalin-fixed and paraffin-embedded (FFPE) tissues. However, no rational strategy has been developed for reduction of sequence artefacts from FFPE DNA as the underlying causes of the artefacts are poorly understood. As cytosine deamination to uracil is a common form of DNA damage in ancient DNA, we set out to examine whether treatment of FFPE DNA with uracil-DNA glycosylase (UDG) would lead to the reduction of C>T (and G>A) sequence artefacts. Heteroduplex formation in high resolution melting (HRM)-based assays was used for the detection of sequence variants in FFPE DNA samples. A set of samples that gave false positive HRM results for screening of the E17K mutation in exon 4 of the AKT1 gene were chosen for analysis. Sequencing of these samples showed multiple non-reproducible C:G>T:A artefacts. Treatment of the FFPE DNA with UDG prior to PCR amplification led to a very marked reduction of the sequence artefacts as indicated by both HRM and sequencing analysis. Similar results were shown for the BRAF V600 region in the same sample set and EGFR exon 19 in another sample set. UDG treatment specifically suppressed the formation of artefacts in FFPE DNA as it did not affect the detection of true KRAS codon 12 and true EGFR exon 19 and 20 mutations. We conclude that uracil in FFPE DNA leads to a significant proportion of sequence artefacts. These can be minimised by a simple UDG pre-treatment, which can be readily carried out in the same tube as the PCR, immediately prior to commencing thermal cycling. HRM is a convenient way of monitoring both the degree of damage and the effectiveness of the UDG treatment. These findings have immediate and important implications for cancer diagnostics where FFPE DNA is used as the primary genetic material for mutational studies guiding personalised medicine strategies and where simple effective strategies to detect mutations are required.

Purpose This preclinical and phase II study evaluated the efficacy and safety of the combination of cetuximab and erlotinib in metastatic colorectal cancer (mCRC). Patients and Methods The activity and mechanism of action of the combination of cetuximab plus erlotinib were investigated in vitro in colorectal cancer cell lines. In the clinical study, patients with chemotherapy-refractory mCRC were treated with cetuximab 400 mg/m2 as a loading dose and then weekly cetuximab 250 mg/m2 with erlotinib 100 mg orally daily. The primary end point was response rate (RR), which was evaluated separately in KRAS wild-type (WT) versus KRAS mutant tumors. Secondary end points included toxicity, progression-free survival (PFS), and overall survival. Target accrual was 50 patients, with a one-stage design. Results Preclinical studies demonstrated synergistic activity of cetuximab and erlotinib cotreatment on growth inhibition of colon cancer cell lines both as a result of enhanced inhibition of the epidermal growth factor receptor pathway and differential effects on STAT3. In the clinical study, 50 patients were enrolled, with 48 patients evaluable for response. The overall RR was 31% (95% CI, 26% to 57%), with a median PFS of 4.6 months (95% CI, 2.8 to 5.6 months). RR was 41% (95% CI, 26% to 57%) in KRAS WT tumors, with a median PFS of 5.6 months (95% CI, 2.9 to 5.6 months). There was no response in 11 patients with KRAS mutations. Frequent grade 3 and 4 toxicities were rash (48%), hypomagnesaemia (18%), and fatigue (10%). Conclusion The combination of cetuximab and erlotinib synergistically inhibits growth of colon cancer cell lines, achieves promising efficacy in patients with KRAS WT mCRC, and merits evaluation in further randomized studies.

Lasse Sommer Kristensen 1,2 , Michael Raynor 3 , Ida Candiloro 1,4 , and Alexander Dobrovic 1,4,5 1 Molecular Pathology Research and Development Laboratory, Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Australia 2 Department of Biomedicine, Aarhus University, Denmark 3 Department of Haematology/Oncology, The Queen Elizabeth Hospital, Adelaide, South Australia, Australia 4 Department of Pathology, The University of Melbourne, Parkville, Australia 5 Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Australia Received: April 12, 2012, Accepted: April 28, 2012, Published: May 8, 2012 Keywords: DNA methylation, epigenetics, biomarkers, high-resolution melting (HRM), methylation-specific PCR (MSP), constitutional methylation Correspondence: Alexander Dobrovic, email: // // Abstract Epigenetic silencing by promoter methylation of genes associated with cancer initiation and progression is a hallmark of tumour cells. As a consequence, testing for DNA methylation biomarkers in plasma or other body fluids shows great promise for detection of malignancies at early stages and/or for monitoring response to treatment. However, DNA from normal leukocytes may contribute to the DNA in plasma and will affect biomarker specificity if there is any methylation in the leukocytes. DNA from 48 samples of normal peripheral blood mononuclear cells was evaluated for the presence of methylation of a panel of DNA methylation biomarkers that have been implicated in cancer. SMART-MSP, a methylation specific PCR (MSP) methodology based on real time PCR amplification, high-resolution melting and strategic primer design, enabled quantitative detection of low levels of methylated DNA. Methylation was observed in all tested mononuclear cell DNA samples for the CDH1 and HIC1 promoters and in majority of DNA samples for the TWIST1 and DAPK1 promoters. APC and RARB promoter methylation, at a lower average level, was also detected in a substantial proportion of DNA samples. We found no BRCA1 , CDKN2A , GSTP1 and RASSF1A promoter methylation in this sample set. Several individuals had higher levels of methylation at several loci suggestive of a methylator phenotype. In conclusion, methylation of many potential DNA methylation biomarkers can be detected in normal peripheral blood mononuclear cells, and is likely to affect their specificity for detecting low level disease. However, we found no evidence of promoter methylation for other genes indicating that panels of analytically sensitive and specific methylation biomarkers in body fluids can be obtained.

Th e fms-like tyrosine kinase 3 ( FLT3 ) gene encodes a membrane-bound receptor tyrosine kinase, also known as CD135, which is normally expressed by myeloid and lymphoid progenitors. Activating mutations in this gene can result in constitutive signaling through downstream pathways leading to uncontrolled cellular proliferation and enhanced survival. Acquired FLT3 mutations have been frequently identifi ed in acute myeloid leukemia (AML) samples, particularly among cases with a normal karyotype (NK-AML). Two main types of FLT3 mutations have been described: those aff ecting the cytoplasmic juxtamembrane region, which are commonly internal tandem duplications ( FLT3 ITD), with an incidence of ∼ 25 – 35% in adult AML [1 – 3], and those located in the tyrosine kinase domain ( FLT3 -TKD), with an incidence of ∼ 5 – 10% in adult AML [3 – 5]. FLT3 -TKD mutations specifi cally occur in the activation loop of FLT3 , mostly representing point mutations of D835 or deletions of I836 [3 – 5]. Patients rarely harbor both ITD and TKD mutations [6]. FLT3 -TKD mutants, including D835Y, D835A, D835E, D835H, D835N, D835V, D835del and I836del, have been shown to have constitutive tyrosine kinase activation and factor-independent proliferation when transfected into Ba/F3 cells [7]. Th e prognostic signifi cance of a FLT3 -TKD mutation remains controversial, with the reported impact diff ering between studies [8]. Th is may be due to the low mutation incidence and hence small size of cohorts analyzed, diff erences in the techniques used to screen for mutations between studies and diff erences in downstream eff ectors between FLT3 -ITD and FLT3 -TKD mutations. Although the prognostic signifi cance of FLT3 -TKD mutations has not been fully established, detecting FLT3 -TKD mutations may be of considerable clinical value because of the development of FLT3 tyrosine kinase inhibitors that are currently in clinical trials [9].

MicroRNAs (miRNAs) are small non-coding RNAs of ∼20 nt in length that are capable of modulating gene expression post-transcriptionally. Although miRNAs have been implicated in cancer, including breast cancer, the regulation of miRNA transcription and the role of defects in this process in cancer is not well understood. In this study we have mapped the promoters of 93 breast cancer-associated miRNAs, and then looked for associations between DNA methylation of 15 of these promoters and miRNA expression in breast cancer cells. The miRNA promoters with clearest association between DNA methylation and expression included a previously described and a novel promoter of the Hsa-mir-200b cluster. The novel promoter of the Hsa-mir-200b cluster, denoted P2, is located ∼2 kb upstream of the 5' stemloop and maps within a CpG island. P2 has comparable promoter activity to the previously reported promoter (P1), and is able to drive the expression of miR-200b in its endogenous genomic context. DNA methylation of both P1 and P2 was inversely associated with miR-200b expression in eight out of nine breast cancer cell lines, and in vitro methylation of both promoters repressed their activity in reporter assays. In clinical samples, P1 and P2 were differentially methylated with methylation inversely associated with miR-200b expression. P1 was hypermethylated in metastatic lymph nodes compared with matched primary breast tumours whereas P2 hypermethylation was associated with loss of either oestrogen receptor or progesterone receptor. Hypomethylation of P2 was associated with gain of HER2 and androgen receptor expression. These data suggest an association between miR-200b regulation and breast cancer subtype and a potential use of DNA methylation of miRNA promoters as a component of a suite of breast cancer biomarkers.

Hairy cell leukemia has been shown to be strongly associated with the BRAF V600E mutation. We screened 59 unenriched archived bone marrow aspirate and peripheral blood samples from 51 patients with hairy cell leukemia using high resolution melting analysis and confirmatory Sanger sequencing. The BRAF V600E mutation was detected in 38 samples (from 36 patients). The BRAF V600E mutation was detected in all samples with disease involvement above the limit of sensitivity of the techniques used. Thirty-three of 34 samples from other hematologic malignancies were negative for BRAF mutations. A BRAF K601E mutation was detected in a patient with splenic marginal zone lymphoma. Our data support the recent finding of a disease defining point mutation in hairy cell leukemia. Furthermore, high resolution melting with confirmatory Sanger sequencing are useful methods that can be employed in routine diagnostic laboratories to detect BRAF mutations in patients with hairy cell leukemia and related lymphoproliferative disorders.

The effect of NRAS mutations on the pathological features and clinical outcomes in patients with cutaneous melanoma was compared with that of tumors containing BRAF(V600E) mutations and tumors wild type for both (WT). Clinical outcome data were obtained from a prospective cohort of 249 patients. Mutations involving NRAS and BRAF(V600E) were detected by PCR and were sequence verified. Cox proportional hazards regression was performed to relate NRAS and BRAF mutations to clinical outcome. Seventy-five percentage of NRAS mutations occurred in tumors >1 mm thick (BRAF(V600E) 40%, WT 34%); 75% of NRAS mutations had >1 mitosis/mm(2) (BRAF(V600E) 40%, WT 55%). When compared to WT, multivariate analysis of melanoma-specific survival (MSS) identified NRAS mutations as an adverse prognostic factor [hazard ratio (HR) 2.96; P = 0.04] but not BRAF(V600E) mutations (HR 1.73; P = 0.23). NRAS mutations were associated with thicker tumors and higher rates of mitosis when compared to BRAF(V600E) and WT melanoma and independently of this, with shorter MSS.

Heterogeneous DNA methylation leads to difficulties in accurate detection and quantification of methylation. Methylation-sensitive high resolution melting (MS-HRM) is unique among regularly used methods for DNA methylation analysis in that heterogeneous methylation can be readily identified, although not quantified, by inspection of the melting curves. Bisulfite pyrosequencing has been used to estimate the level of heterogeneous methylation by quantifying methylation levels present at individual CpG dinucleotides. Sequentially combining the two methodologies using MS-HRM to screen the amplification products prior to bisulfite pyrosequencing would be advantageous. This would not only replace the quality control step using agarose gel analysis prior to the pyrosequencing step but would also provide important qualitative information in its own right. We chose to analyze DAPK1 as it is an important tumor suppressor gene frequently heterogeneously methylated in a number of malignancies, including chronic lymphocytic leukemia (CLL). A region of the DAPK1 promoter was analyzed in ten CLL samples by MS-HRM. By using a biotinylated primer, bisulfite pyrosequencing could be used to directly analyze the samples. MS-HRM revealed the presence of various extents of heterogeneous DAPK1 methylation in all CLL samples. Further analysis of the biotinylated MS-HRM products by bisulfite pyrosequencing provided quantitative information for each CpG dinucleotide analyzed, and confirmed the presence of heterogeneous DNA methylation. Whereas each method could be used individually, MS-HRM and bisulfite pyrosequencing provided complementary information for the assessment of heterogeneous methylation.

Background: The Australian Ovarian Cancer Assortment Trial (ALLOCATE) was designed as a pilot study to demonstrate feasibility of molecularly profiling patients with recurrent ovarian cancer with the aim of allocating patients to targeted therapies based on the genomic profile of their tumors. Materials and Methods: Two next-generation sequencing (NGS) panels, as well as a BRCA1 methylation assay, were used for molecular profiling of most common subtypes of ovarian cancer. A custom Illumina TruSeq Amplicon Low Input (v2) panel with dual-strand coverage was designed to target 38 genes commonly mutated and clinically important in ovarian cancer. The second assay was a NGS modification of the Multiplex Ligation-dependent Probe Amplification (MLPA) assay that was designed to target 11 genes with common copy number alterations (CNA) in ovarian cancer, including extensive BRCA1/2 coverage for large exonic deletions (Kondrashova et al., 2015). A thorough analytic validation was performed to ensure that both tests were fit for diagnostic use. Patients with recurrent epithelial ovarian cancer were eligible for the study. Where feasible, patients underwent biopsies of recurrent tumor that were snap frozen. Otherwise, archival FFPE tumor blocks were retrieved. Sequencing was performed using Illumina Miseq and HiSeq 2500 with target median coverage of 2000x (amplicon panel) and 800x (MLPA-Seq). Data were analyzed using an internally built pipeline, an upgraded version of AmpliVar (Hsu et al 2015), with Variant Effect Predictor (Mclaren et al., 2016) used for variant annotation. Results: Between December 2013 and October 2016, 113 patients with recurrent ovarian cancer were recruited from two tertiary hospitals, with 15 cases (13%) excluded due to insufficient tumor material or poor-quality DNA. Ninety-eight cases (87%) were analyzed and reports issued back to the referring clinician. Fifty-six patients (61%) in the study had recurrent high-grade serous ovarian cancer (HGSC). Of these, TP53 mutations were identified in 91%. Events in genes other than TP53 were detected in 44 cases, most commonly MYC and CCNE1 amplifications and BRCA1/2 mutations. BRCA1/2 reversions were identified in two cases, explaining their lack of response to platinum/PARPi. Fifteen patients (16%) had recurrent low-grade serous ovarian cancer (LGSC), with KRAS or BRAF mutations identified in four cases. Two HGSC tumors were reclassified as LGSC on the basis of a lack of TP53 mutation, presence of KRAS mutation, and subsequent pathology review. Other cases in the study included mucinous, clear cell, and mixed-histology carcinomas and a metastatic carcinosarcoma. In terms of clinical utility, 6 patients (7%) received a matched therapy. Three HGSC patients with somatic BRCA1/2 mutations were treated with PARP inhibitors. Another HGSC patient with ERBB2 amplification was treated with trastuzumab. One LGSC patient with a BRAF mutation was enrolled on a BRAF inhibitor clinical trial. A second LGSC patient was enrolled in a trial of anastrazole. Furthermore, 7 patients (14%) with HGSC who were previously untested were found to have a germline BRCA1/2 mutation and were subsequently referred to a familial cancer clinic for further management and cascade testing. The limitations in the study included the turnaround time and advanced stage of disease at enrolment, which significantly affected the clinical utility of the test. Conclusion: We demonstrated that molecular profiling of recurrent ovarian cancer using the ALLOCATE panel was feasible and reflected the known genomic characteristics of the different subtypes. However, challenges remain, including appropriate patient selection and efficient turnaround time for reporting. Furthermore, improved access to targeted therapies or clinical trials will also enhance the clinical utility of the ALLOCATE panel. Citation Format: Olga Kondrashova, George Au-Yeung, Leakhena Leas, Gwo-Yaw Ho, Sebastian Lunke, Kathryn Alsop, Clare Scott, Anne Hamilton, Sumitra Ananda, Alison Freimund, Michael Quinn, Orla McNally, Nadia Traficante, Tiffany Cowie, Matthew Wakefield, Arthur Hsu, Alex Dobrovic, Michael Christie, Graham Taylor, David Bowtell, Linda Mileshkin, Paul Waring. Australian Ovarian Cancer Assortment Trial–Allocating ovarian cancer patients into clinical trials based on molecular profiling. [abstract]. In: Proceedings of the AACR Conference: Addressing Critical Questions in Ovarian Cancer Research and Treatment; Oct 1-4, 2017; Pittsburgh, PA. Philadelphia (PA): AACR; Clin Cancer Res 2018;24(15_Suppl):Abstract nr B35.

Huang K T, Mikeska T, Dobrovic A & Fox S B (2010) Histopathology 57, 451–460 DNA methylation analysis of the HIF-1α prolyl hydroxylase domain genes PHD1, PHD2, PHD3 and the factor inhibiting HIF gene FIH in invasive breast carcinomas Aims: Hypoxia-inducible factor-1 (HIF-1) activity is regulated by prolyl hydroxylase (PHD1, PHD2, PHD3) and factor inhibiting HIF-1 (FIH) that target the α subunit of HIF-1 (HIF-1α) for proteosomal degradation. We hypothesised that the elevated HIF-1α level is due in some tumours to epigenetic silencing by DNA hypermethylation of the promoter region of one or more of the PHDs and FIH genes. The aims were to define the presence or absence of promoter methylation of PHDs and FIH in cell lines of various sources and breast carcinomas and, if present, determine its effect on mRNA and protein expression. Methods and results: Tumour cell lines (n = 20) and primary invasive breast carcinomas (n = 168) were examined for promoter region DNA methylation using methylation-sensitive high-resolution melting. There was evidence of PHD3 but not of PHD1, PHD2 or FIH DNA methylation in breast cancer (SkBr3) and leukaemic (HL60 and CCRF-CEM) cell lines, but there was no evidence of methylation in any of 168 breast cancers. Only the high-level PHD3 methylation seen in leukaemic cell lines correlated with absent mRNA and protein expression. Conclusions: Methylation-induced epigenetic silencing of PHD1, PHD2, PHD3 and FIH is unlikely to underlie up-regulated HIF-1α expression in human breast cancer but may play a role in other tumour types.

pVHL is the central component of an ubiquitin ligase complex that targets hypoxia-inducible factor 1α (HIF-1α) for proteasomal degradation. This complex includes four other genes, Cullin 2 (CUL2), elongin C (TCEB1), elongin B (TCEB2) and ring-box 1 (RBX1). VHL has previously been reported to be methylated in sporadic renal cell carcinoma. Since HIF-1α is frequently expressed in breast carcinomas, we evaluated DNA methylation as a possible mechanism of silencing one or more of the VHL complex genes. Methylation-specific high resolution melting (MS-HRM) was used to screen the proximal promoter CpG islands for methylation of the VHL ubiquitin ligase complex genes. We were unable to identify methylation of any of the five genes in 84 breast carcinoma samples or in a range of cancer cell lines including 13 breast cancer cell lines of various subtypes. We were able, however, to identify VHL methylation in control renal cell carcinoma samples. Epigenetic silencing by promoter DNA methylation for VHL and the complex genes, CUL2, elongin C (TCEB1), elongin B (TCEB2) and RBX1, is unlikely to play a role in HIF-1α upregulation in breast carcinomas.

DNA methylation based biomarkers have considerable potential for molecular diagnostics, both as tumor specific biomarkers for the early detection or post-therapeutic monitoring of cancer as well as prognostic and predictive biomarkers for therapeutic stratification. Particularly in the former, the accurate estimation of DNA methylation is of compelling importance. However, quantification of DNA methylation has many traps for the unwary, especially when heterogeneous methylation comprising multiple alleles with varied DNA methylation patterns (epialleles) is present. The frequent occurrence of heterogeneous methylation as distinct from a simple mixture of fully methylated and unmethylated alleles is generally not taken into account when DNA methylation is considered as a cancer biomarker. When heterogeneous DNA methylation is present, the proportion of methylated molecules is difficult to quantify without a method that allows the measurement of individual epialleles. In this article, we critically assess the methodologies frequently used to investigate DNA methylation, with an emphasis on the detection and measurement of heterogeneous DNA methylation. The adoption of digital approaches will enable the effective use of heterogeneous DNA methylation as a cancer biomarker.