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Background Cystoscopy is the gold standard for bladder cancer detection, but is costly, invasive and has imperfect diagnostic accuracy. We aimed to identify novel and accurate DNA methylation biomarkers for non-invasive detection of bladder cancer in urine, with the potential to reduce the number of cystoscopies among hematuria patients. Results Biomarker candidates (n = 32) were identified from methylome sequencing of urological cancer cell lines (n = 16) and subjected to targeted methylation analysis in tissue samples (n = 60). The most promising biomarkers (n = 8) were combined into a panel named BladMetrix. The performance of BladMetrix in urine was assessed in a discovery series (n = 112), consisting of bladder cancer patients, patients with other urological cancers and healthy individuals, resulting in 95.7% sensitivity and 94.7% specificity. BladMetrix was furthermore evaluated in an independent prospective and blinded series of urine from patients with gross hematuria (n = 273), achieving 92.1% sensitivity, 93.3% specificity and a negative predictive value of 98.1%, with the potential to reduce the number of cystoscopies by 56.4%. Conclusions We here present BladMetrix, a novel DNA methylation urine test for non-invasive detection of bladder cancer, with high accuracy across tumor grades and stages, and the ability to spare a significant number of cystoscopies among patients with gross hematuria.

Motivation Droplet digital PCR (ddPCR) holds great promises for investigating DNA methylation with high sensitivity. Yet, the lack of methods for analyzing ddPCR DNA methylation data has resulted in users processing the data manually at the expense of standardization. Results PoDCall is an R package performing automated calling of positive droplets, quantification and normalization of methylation levels in ddPCR experiments. A Shiny application provides users with an intuitive and interactive interface to access PoDCall functionalities. Availability and implementation The PoDCall R package is freely available on Bioconductor at https://bioconductor.org/packages/PoDCall/. The Shiny application can be executed from the R console using the wrapper function PoDCall::podcallShiny(). Supplementary information Supplementary data are available at Bioinformatics online.

Background and Aims Primary sclerosing cholangitis (PSC) is associated with increased risk of cholangiocarcinoma (CCA). Early and accurate CCA detection represents an unmet clinical need as the majority of patients with PSC are diagnosed at an advanced stage of malignancy. In the present study, we aimed at establishing robust DNA methylation biomarkers in bile for early and accurate diagnosis of CCA in PSC. Approach and Results Droplet digital PCR (ddPCR) was used to analyze 344 bile samples from 273 patients with sporadic and PSC-associated CCA, PSC, and other nonmalignant liver diseases for promoter methylation of cysteine dioxygenase type 1, cannabinoid receptor interacting protein 1, septin 9, and vimentin. Receiver operating characteristic (ROC) curve analyses revealed high AUCs for all four markers (0.77–0.87) for CCA detection among patients with PSC. Including only samples from patients with PSC diagnosed with CCA ≤ 12 months following bile collection increased the accuracy for cancer detection, with a combined sensitivity of 100% (28/28) and a specificity of 90% (20/203). The specificity increased to 93% when only including patients with PSC with longtime follow-up (> 36 months) as controls, and remained high (83%) when only including patients with PSC and dysplasia as controls (n = 23). Importantly, the bile samples from the CCA-PSC ≤ 12 patients, all positive for the biomarkers, included both early-stage and late-stage CCA, different tumor growth patterns, anatomical locations, and carbohydrate antigen 19-9 levels. Conclusions Using highly sensitive ddPCR to analyze robust epigenetic biomarkers, CCA in PSC was accurately detected in bile, irrespective of clinical and molecular features, up to 12 months before CCA diagnosis. The findings suggest a potential for these biomarkers to complement current detection and screening methods for CCA in patients with PSC.

Glioblastoma (GBM), the most aggressive form of brain cancer, is characterized by a high level of molecular heterogeneity, and infiltration by various immune and stromal cell populations. Important advances have been made in deciphering the microenvironment of GBMs, but its association with existing molecular subtypes and its potential prognostic role remain elusive. We have investigated the abundance of infiltrating immune and stromal cells in silico, from gene expression profiles. Two cohorts, including in‐house normal brain and glioma samples (n = 70) and a large sample set from TCGA (n = 393), were combined into a single exploratory dataset. A third independent cohort (n = 124) was used for validation. Tumors were clustered based on their microenvironment infiltration profiles, and associations with known GBM molecular subtypes and patient outcome were tested a posteriori in a multivariable setting. We identified a subset of GBM samples with significantly higher abundances of most immune and stromal cell populations. This subset showed increased expression of both immune suppressor and immune effector genes compared to other GBMs and was enriched for the mesenchymal molecular subtype. Survival analyses suggested that tumor microenvironment infiltration pattern was an independent prognostic factor for GBM patients. Among all, patients with the mesenchymal subtype with low immune and stromal infiltration had the poorest survival. By combining molecular subtyping with gene expression measures of tumor infiltration, the present work contributes with improving prognostic models in GBM., This work combined molecular subtyping of glioblastomas (GBMs) with gene expression measures of tumor infiltration and identified a subset of GBMs with high abundances of most immune and stromal cell populations. Survival analyses suggested that tumor microenvironment infiltration was an independent prognostic factor for GBM patients. Among all, patients with the mesenchymal subtype and low infiltration had the poorest survival.

Intratumor heterogeneity of colorectal cancers (CRCs) is manifested both at the genomic and epigenomic levels. Early genetic aberrations in carcinogenesis are clonal and present throughout the tumors, but less is known about the heterogeneity of the epigenetic CpG island methylator phenotype (CIMP). CIMP characterizes a subgroup of CRCs thought to originate from specific precursor lesions, and it is defined by widespread DNA methylation within promoter regions. In this work, we investigated CIMP in two to four multiregional samples from 30 primary tumors (n = 86 samples) using the consensus Weisenberger gene panel (CACNA1G, IGF2, NEUROG1, RUNX3 and SOCS1). Twenty‐nine of 30 tumors (97%) showed concordant CIMP status in all samples, and percent methylated reference (PMR) values of all five markers had higher intertumor than intratumor variation (P value = 1.5e−09). However, a third of the CIMP+ tumors exhibited discrepancies in methylation status in at least one of the five gene markers. To conclude, CIMP status was consistent within primary CRCs, and it is likely a clonal phenotype. However, spatial discordances of the individual genes suggest that large‐scale analysis of multiregional samples could be of interest for identifying CIMP markers that are robust to intratumor heterogeneity., What's new? Colorectal cancers (CRCs) exhibit significant intratumoral genetic and epigenetic heterogeneity. A subgroup of CRCs is characterized in particular by the epigenetic CpG island methylator phenotype (CIMP), though the extent to which CIMP contributes to intratumoral heterogeneity in these tumors is unknown. Here, investigation of CIMP in multiregional samples from primary CRCs shows that CIMP status is highly homogenous within tumors. In one‐third of CIMP‐positive primary CRCs, methylation status differed in at least one of five gene markers investigated. The findings suggest that inclusion of multiregional CRC samples could aid the development of more robust marker panels for CIMP assessment.

We have previously shown that aberrant promoter methylation of ZNF331 is a potential biomarker for colorectal cancer detection with high sensitivity (71%) and specificity (98%). This finding was recently confirmed by others, and it was additionally suggested that promoter methylation of ZNF331 was an independent prognostic biomarker for colorectal cancer (n = 146). In the current study, our initial colorectal cancer sample series was extended to include a total of 423 cancer tissue samples. Aberrant promoter methylation was found in 71% of the samples, thus repeatedly suggesting the biomarker potential of ZNF331 for detection of colorectal cancer. Furthermore, multivariate Cox’s analysis indicated a trend towards inferior overall survival for colorectal cancer patients with aberrant methylation of ZNF331.

The prognostic value of CpG island methylator phenotype (CIMP) in colorectal cancer remains unsettled. We aimed to assess the prognostic value of this phenotype analyzing a total of 1126 tumor samples obtained from two Norwegian consecutive colorectal cancer series. CIMP status was determined by analyzing the 5-markers CAGNA1G, IGF2, NEUROG1, RUNX3 and SOCS1 by quantitative methylation specific PCR (qMSP). The effect of CIMP on time to recurrence (TTR) and overall survival (OS) were determined by uni- and multivariate analyses. Subgroup analyses were conducted according to MSI and BRAF mutation status, disease stage, and also age at time of diagnosis (

Changes in DNA methylation have been causally linked with cancer and provide promising biomarkers for detection in biological fluids such as blood, urine, and saliva. The field has been fueled by genome-wide characterization of DNA methylation across cancer types as well as new technologies for sensitive detection of aberrantly methylated DNA molecules. For urological cancers, urine is in many situations the preferred “liquid biopsy” source because it contains exfoliated tumor cells and cell-free tumor DNA and can be obtained easily, noninvasively, and repeatedly. Here, we review recent advances made in the development of DNA-methylation-based biomarkers for detection of bladder, prostate, renal, and upper urinary tract cancers, with an emphasis on the performance characteristics of biomarkers in urine. For most biomarkers evaluated in independent studies, there was great variability in sensitivity and specificity. We discuss issues that impact the outcome of DNA-methylation-based detection of urological cancer and account for the great variability in performance, including genomic location of biomarkers, source of DNA, and technical issues related to the detection of rare aberrantly methylated DNA molecules. Finally, we discuss issues that remain to be addressed to fully exploit the potential of DNA-methylation-based biomarkers in the clinic, including the need for prospective trials and careful selection of control groups.

New non-invasive approaches that can complement and improve on current strategies for colorectal cancer (CRC) screening and management are urgently needed. A growing number of publications have documented that components of tumors, which are shed into the circulation, can be detected in the form of liquid biopsies and can be used to detect CRC at early stages, to predict response to certain therapies and to detect CRC recurrence in a minimally invasive way. The analysis of circulating tumor DNA (ctDNA), tumor-derived cells (CTC, circulating tumor cells) or circulating microRNA (miRNA) in blood and other body fluids, have a great potential to improve different aspects of CRC management. The challenge now is to find which types of components, biofluids and detection methods would be the most suitable to be applied in the different steps of CRC detection and treatment. This chapter will provide an up to date review on ctDNA, CTCs and circulating miRNAs as new biomarkers for CRC, either for clinical management or early detection, highlighting their advantages and limitations.

// Lina Cekaite 1,2 , Peter W. Eide 1,2 , Guro E. Lind 1,2 , Rolf I. Skotheim 1,2 and Ragnhild A. Lothe 1,2 1 Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway 2 K.G.Jebsen Colorectal Cancer Research Centre, Oslo University Hospital, Oslo, Norway Correspondence to: Lina Cekaite, email: // Keywords : biomarker, colorectal neoplasm, miRNA, metastasis, target gene Received : August 17, 2015 Accepted : November 16, 2015 Published : November 25, 2015 Abstract Gene expression is in part regulated by microRNAs (miRNAs). This review summarizes the current knowledge of miRNAs in colorectal cancer (CRC); their role as growth regulators, the mechanisms that regulate the miRNAs themselves and the potential of miRNAs as biomarkers. Although thousands of tissue samples and bodily fluids from CRC patients have been investigated for biomarker potential of miRNAs (>160 papers presented in a comprehensive tables), none single miRNA nor miRNA expression signatures are in clinical use for this disease. More than 500 miRNA-target pairs have been identified in CRC and we discuss how these regulatory nodes interconnect and affect signaling pathways in CRC progression.

Background Droplet digital PCR (ddPCR) allows absolute quantification of nucleic acids and has potential for improved non-invasive detection of DNA methylation. For increased precision of the methylation analysis, we aimed to develop a robust internal control for use in methylation-specific ddPCR. Methods Two control design approaches were tested: (a) targeting a genomic region shared across members of a gene family and (b) combining multiple assays targeting different pericentromeric loci on different chromosomes. Through analyses of 34 colorectal cancer cell lines, the performance of the control assay candidates was optimized and evaluated, both individually and in various combinations, using the QX200™ droplet digital PCR platform (Bio-Rad). The best-performing control was tested in combination with assays targeting methylated CDO1, SEPT9, and VIM. Results A 4Plex panel consisting of EPHA3, KBTBD4, PLEKHF1, and SYT10 was identified as the best-performing control. The use of the 4Plex for normalization reduced the variability in methylation values, corrected for differences in template amount, and diminished the effect of chromosomal aberrations. Positive Droplet Calling (PoDCall), an R-based algorithm for standardized threshold determination, was developed, ensuring consistency of the ddPCR results. Conclusion Implementation of a robust internal control, i.e., the 4Plex, and an algorithm for automated threshold determination, PoDCall, in methylation-specific ddPCR increase the precision of DNA methylation analysis.

Early detection of the highly aggressive malignancy cholangiocarcinoma (CCA) remains a challenge but has the potential to render the tumor curable by surgical removal. This study evaluates a biomarker panel for the diagnosis of CCA by DNA methylation analyses of biliary brush samples. The methylation status of 13 candidate genes (CDO1, CNRIP1, DCLK1, FBN1, INA, MAL, SEPT9, SFRP1, SNCA, SPG20, TMEFF2, VIM, and ZSCAN18) was investigated in 93 tissue samples (39 CCAs and 54 nonmalignant controls) using quantitative methylation‐specific polymerase chain reaction. The 13 genes were further analyzed in a test series of biliary brush samples (15 CCAs and 20 nonmalignant primary sclerosing cholangitis controls), and the methylation status of the four best performing markers was validated (34 CCAs and 34 primary sclerosing cholangitis controls). Receiver operating characteristic curve analyses were used to evaluate the performance of individual biomarkers and the combination of biomarkers. The 13 candidate genes displayed a methylation frequency of 26%‐82% in tissue samples. The four best‐performing genes (CDO1, CNRIP1, SEPT9, and VIM) displayed individual methylation frequencies of 45%‐77% in biliary brushes from CCA patients. Across the test and validation biliary brush series, this four‐gene biomarker panel achieved a sensitivity of 85% and a specificity of 98%, with an area under the receiver operating characteristic curve of 0.944. Conclusion: We report a straightforward biomarker assay with high sensitivity and specificity for CCA, outperforming standard brush cytology, and suggest that the biomarker panel, potentially in combination with cytological evaluation, may improve CCA detection, particularly among primary sclerosing cholangitis patients. (Hepatology 2015;61:1651–1659)

No consensus treatment regime exists beyond surgery for malignant peripheral nerve sheath tumours (MPNST), and the purpose of the present study was to find new approaches to stratify patients with good and poor prognosis and to better guide therapeutic intervention for this aggressive soft tissue cancer. From a total of 67 MPNSTs from Scandinavian patients with and without neurofibromatosis type 1, 30 MPNSTs were investigated by genome-wide RNA expression profiling and 63 MPNSTs by immunohistochemical (IHC) analysis, and selected genes were submitted to analyses of disease-specific survival. The potential drug target genes survivin (BIRC5), thymidine kinase 1 (TK1), and topoisomerase 2-alpha (TOP2A), all encoded on chromosome arm 17q, were up-regulated in MPNST as compared to benign neurofibromas. Each of them was found to be independent prognostic markers on the gene expression level, as well as on the protein level. A prognostic profile was identified by combining the nuclear expression scores of the three proteins. For patients with completely resected tumours only 15% in the high risk group were alive after two years, as compared to 78% in the low risk group. In conclusion, we found a novel protein expression profile which identifies MPNST patients with inferior prognosis even after assumed curative surgery. The tested proteins are drug targets; therefore the expression profile may provide predictive information guiding the design of future clinical trials. Importantly, as the effect is seen on the protein level using IHC, the biomarker panel can be readily implemented in routine clinical testing.

Background. Malignant peripheral nerve sheath tumor (MPNST) is a rare and highly aggressive disease with no evidence of effect from adjuvant therapy. It is further associated with the hereditary syndrome neurofibromatosis type 1 (NF1). Silencing of the tumor suppressor gene RASSF1A through DNA promoter hypermethylation is known to be involved in cancer development, but its impact in MPNSTs remains unsettled.Methods. The RASSF1A promoter was analyzed by methylation-specific PCR in 113 specimens, including 44 NF1-associated MPNSTs, 47 sporadic MPNSTs, 21 benign neurofibromas, and 1 nonneoplastic nerve sheath control.Results. RASSF1A methylation was found only in the malignant samples (60%) and identified a subgroup among patients with NF1-associated MPNST with a poor prognosis. These patients had a mean 5-year disease-specific survival of 27.3 months (95% CI: 17.2-37.4) versus 47.4 months (95% CI: 37.5-57.2) for NF1 patients with unmethylated promoters, P = 0.014. In multivariate Cox regression analysis, methylated RASSF1A remained an adverse prognostic factor independent of clinical risk factors, P = .013 (hazard ratio: 5.2; 95% CI: 1.4-19.4).Conclusion. A considerable number of MPNST samples display hypermethylation of the RASSF1A gene promoter, and for these tumors, this is the first molecular marker that if validated can characterize a subgroup of patients with inferior prognosis, restricted to individuals with NF1.

Background Patients with early colorectal cancer (stages I–II) generally have a good prognosis, but a subgroup of 15–20% experiences relapse and eventually die of disease. Occult metastases have been suggested as a marker for increased risk of recurrence in patients with node-negative disease. Using a previously identified, highly accurate epigenetic biomarker panel for early detection of colorectal tumors, we aimed at evaluating the prognostic value of occult metastases in sentinel lymph nodes of colon cancer patients. Results The biomarker panel was analyzed by quantitative methylation-specific PCR in primary tumors and 783 sentinel lymph nodes from 201 patients. The panel status in sentinel lymph nodes showed a strong association with lymph node stage (P = 8.2E−17). Compared with routine lymph node diagnostics, the biomarker panel had a sensitivity of 79% (31/39). Interestingly, among 162 patients with negative lymph nodes from routine diagnostics, 13 (8%) were positive for the biomarker panel. Colon cancer patients with high sentinel lymph node methylation had an inferior prognosis (5-year overall survival P = 3.0E−4; time to recurrence P = 3.1E−4), although not significant. The same trend was observed in multivariate analyses (P = 1.4E−1 and P = 6.7E−2, respectively). Occult sentinel lymph node metastases were not detected in early stage (I–II) colon cancer patients who experienced relapse. Conclusions Colon cancer patients with high sentinel lymph node methylation of the analyzed epigenetic biomarker panel had an inferior prognosis, although not significant in multivariate analyses. Occult metastases in TNM stage II patients that experienced relapse were not detected. Electronic supplementary material The online version of this article (10.1186/s13148-017-0397-4) contains supplementary material, which is available to authorized users.

Each year, almost 4.1 million people are diagnosed with gastrointestinal (GI) cancers. Due to late detection of this disease, the mortality is high, causing approximately 3 million cancer-related deaths annually, worldwide. Although the incidence and survival differs according to organ site, earlier detection and improved prognostication have the potential to reduce overall mortality burden from these cancers. Epigenetic changes, including aberrant promoter DNA methylation, are common events in both cancer initiation and progression. Furthermore, such changes may be identified non-invasively with the use of PCR based methods, in bodily fluids of cancer patients. These features make aberrant DNA methylation a promising substrate for the development of disease biomarkers for early detection, prognosis and for predicting response to therapy. In this article, we will provide an update and current clinical perspectives for DNA methylation alterations in patients with colorectal, gastric, pancreatic, liver and esophageal cancers, and discuss their potential role as cancer biomarkers.

Only when including quality and standardization at every level of DNA methylation analyses, will we be able to achieve the robustness to independently validate DNA methylation analyses and to compare multiple methylation studies in systematic reviews. This is the only way to more efficiently develop future DNA methylation based biomarkers.

Gastrointestinal cancers include malignancies arising in the esophagus, liver and bile ducts, gallbladder, pancreas, stomach, small intestine, colon and rectum. Their incidence and mortality differ significantly, however, together they account for approximately one-fifth of the cancer incidence and nearly one-fourth of the cancer related deaths in the US.1 Colorectal and gastric cancers are the most common gastrointestinal tumors worldwide, accounting for ∼2.2 million new cases and an estimated 1.3 million deaths annually.2 When these malignancies are detected at an early, localized stage, the 5-year survival is 90% and 63%, respectively.3 However, more than 60% of the patients with colorectal cancer and 75% of the patients with gastric cancer have regional or distant metastases at the time of diagnosis, resulting in a significant drop in survival.3 Cholangiocarinoma and pancreatic cancer are less prevalent.2,4 However, these malignancies are often “clinically silent” and thus diagnosed at an advanced stage with a corresponding poor prognosis.2,4 Early detection, particularly of colorectal and gastric cancer, may significantly reduce the number of gastrointestinal cancer deaths, and identification of suitable biomarkers for this purpose is therefore warranted. In humans, DNA methylation occurs predominantly at the 5′ position of cytosine, within CpG dinucleotides. Approximately 70% of the human genes have a CpG island—an enrichment of such dinucleotides—in the promoter region.5 In normal cells these islands are usually unmethylated, but several of them become hypermethylated in cancer and this is associated with repressed or lost gene expression.6 Using genome-wide analyzes, DNA methylation was recently shown to be more frequent than genetic changes in colorectal cancer.7 In addition to being frequent, aberrant DNA methylation has been shown to be an early event in tumorigenesis.8 Finally, several examples of genes with promoter DNA hypermethylation have been detected in various bodily fluids from cancer patients, including bile, feces, plasma and urine,9–13 indicating that methylation biomarkers may be useful for non- or minimally invasive cancer diagnostics. Although cancer is a highly heterogeneous disease, comprising more than 200 different conditions, it is believed that tumors arising in the gastrointestinal tract share several molecular alterations. Gut derived adenocarcinomas have indeed been found to display similar copy-number changes, forming tissue-specific clusters when various cancer types were clustered according to amplification activated oncogenes.14,15 Gastrointestinal tumors further show extremely high frequencies of transition mutations at CpG dinucleotides,16 and several genes, including APC, MLH1, MGMT, p16INK4a, CDH1, SFRP1, RASSF1A and VIM have been shown to be epigenetically dysregulated across malignancies of the gastrointestinal tract.17–21 With increased focus on cross-tumor analysis, exemplified by The Cancer Genome Atlas (TCGA) Pan-Cancer project, more shared abnormalities among the gastrointestinal cancers are expected to be uncovered. In the present study we have investigated whether the recently identified methylation biomarkers for cholangiocarcinoma (CDO1, DCLK1, ZSCAN18 and SFRP1)22 were methylated also in other malignancies of the gastrointestinal tract. The promoter methylation frequency of these genes, in addition to ZNF331, previously shown to be methylated across several gastrointestinal cancer cell lines,22 was analyzed in tissue samples from colorectal-, gastric- and pancreatic cancer patients.

The connexins constitute a family of integral membrane proteins that form channels between adjacent cells. These channels are assembled in plasma membrane domains known as gap junctions and enable cells to directly exchange ions and small molecules. Intercellular communication via gap junctions plays important roles in regulating cell growth and differentiation and in maintaining tissue homeostasis. This type of cell communication is often impaired during cancer development, and several members of the connexin protein family have been shown to act as tumor suppressors. Emerging evidence suggests that the connexin protein family has important roles in colorectal cancer development. In the normal colonic epithelial tissue, three connexin isoforms, connexin 26 (Cx26), Cx32 and Cx43, have been shown to be expressed at the protein level. Colorectal cancer development is associated with loss of connexin expression or relocalization of connexins from the plasma membrane to intracellular compartments. Downregulation of connexins in colorectal carcinomas at the transcriptional level involves cancer-specific promoter hypermethylation. Recent studies suggest that Cx43 may constrain growth of colon cancer cells by interfering with the Wnt/β-catenin pathway. There is also increasing evidence that the connexins may have potential as prognostic markers in colorectal cancer. This review discusses the role of connexins in colorectal cancer pathogenesis, as well as their potential as prognostic markers and targets in the prevention and treatment of the disease.

Recently, Dclk1 expression was identified to be an intestinal cancer stem cell specific biomarker in mouse models, implicating a potential role for targeting the DCLK1-postive cancer cells as a treatment for colorectal cancer. Using quantitative methylation specific PCR (qMSP) we here demonstrated that the DCLK1 promoter is hypermethylated in the vast majority of colorectal cancers (134/164; 82%), with no methylation in the normal mucosa samples (0/106). We further showed by Affymetrix exon arrays that DCLK1 is significantly downregulated in human colorectal cancer (n = 125) compared with normal colonic mucosa (n = 15), which was further confirmed by real-time RT-PCR of a subgroup of the samples. Additionally, a significant negative correlation was observed between methylation and DCLK1 expression in 74 cancer cell lines derived from 15 different tissues, and gene expression increased significantly after epigenetic drug treatment of initially methylated cancer cell lines. These findings underscore the potential of DCLK1 as a colorectal cancer biomarker for early detection, but may also have clinical implications regarding the previously proposed therapy toward DCLK1-positive cancer cells. This therapy would at best affect the cancer stem cell population, but will, based on the present results, not be efficient to treat the bulk of the tumor.

Introduction Patients with primary sclerosing cholangitis (PSC) have up to 20% lifetime risk of developing cholangiocarcinomas (CCAs). Identifying CCA in patients with PSC is, however, complicated and current strategies are suffering from low sensitivity. Consequently, the majority of patients are diagnosed at an advanced, incurable stage of disease, highlighting the need for novel detection methods, which could qualify more patients for curative treatment. In the current study, we aimed at establishing a robust DNA methylation biomarker panel in bile for improved detection of CCA. Material and methods More than 300 bile samples (100 µl) from patients with PSC, CCA with and without PSC, and other non-malignant liver diseases were collected during endoscopic retrograde cholangiopancreatography or liver transplantation. All samples were analysed for promoter methylation of selected markers, using highly sensitive droplet digital PCR (ddPCR). In each reaction, an in-house 4-marker control assay was included for normalisation, and an algorithm for automated threshold determination, PoDCall, was applied for increased precision (Pharo et al, Clinical Epigenetics 2018). Results and discussions Preliminary results indicate that the DNA methylation biomarkers have high accuracy for identifying CCA, particularly among patients with PSC. Interestingly, the markers were able to detect 5/8 PSC patients that later developed CCA, and that were not detected by standard diagnostic tools. Conclusion By using highly sensitive ddPCR based technology and a robust DNA methylation biomarker panel, CCA can be accurately detected in small volumes of bile from patients with PSC.

Several ETS transcription factors are involved in the pathogenesis of human cancers by different mechanisms. As gene copy number gain/amplification is an alternative mechanism of oncogenic activation and 1q gain is the most common copy number change in breast carcinoma, we investigated how that genomic change impacts in the expression of the three 1q ETS family members ETV3, ELK4, and ELF3. We have first evaluated 141 breast carcinomas for genome-wide copy number changes by chromosomal CGH and showed that 1q21 and 1q32 were the two chromosome bands with most frequent genomic copy number gains. Second, we confirmed by FISH with locus-specific BAC clones that cases showing 1q gain/amplification by CGH showed copy number increase of the ETS genes ETV3 (located in 1q21~23), ELF3, and ELK4 (both in 1q32). Third, gene expression levels of the three 1q ETS genes, as well as their potential targets MYC and CRISP3, were evaluated by quantitative real-time PCR. We here show for the first time that the most common genomic copy number gains in breast cancer, 1q21 and 1q32, are associated with overexpression of the ETS transcription factors ETV3 and ELF3 (but not ELK4) at these loci irrespective of molecular subtypes. Among the three 1q ETS genes, ELF3 has a relevant role in breast carcinogenesis and is also the most likely target of the 1q copy number increase. The basal-like molecular subtype presented the worst prognosis regarding disease-specific survival, but no additional prognostic value was found for 1q copy number status or ELF3 expression. In addition, we show that there is a correlation between the expression of the oncogene MYC, irrespectively of copy number gain at its loci in 8q24, and the expression of both the transcriptional repressor ETV3 and the androgen respondent ELK4.

Cholangiocarcinoma is notoriously difficult to diagnose, and the mortality rate is high due to late clinical presentation. CpG island promoter methylation is frequently seen in cancer development. In the present study, we aimed at identifying novel epigenetic biomarkers with the potential to improve the diagnostic accuracy of cholangiocarcinoma. Microarray data analyses of cholangiocarcinoma cell lines treated with epigenetic drugs and their untreated counterparts were compared with previously published gene expression profiles of primary tumors and with non-malignant controls. Genes responding to the epigenetic treatment that were simultaneously downregulated in primary cholangiocarcinoma compared with controls (n = 43) were investigated for their promoter methylation status in cancer cell lines from the gastrointestinal tract. Genes commonly methylated in cholangiocarcinoma cell lines were subjected to quantitative methylation-specific polymerase chain reaction in a total of 93 clinical samples (cholangiocarcinomas and non-malignant controls). CDO1, DCLK1, SFRP1 and ZSCAN18, displayed high methylation frequencies in primary tumors and were unmethylated in controls. At least one of these four biomarkers was positive in 87% of the tumor samples, with a specificity of 100%. In conclusion, the novel methylation-based biomarker panel showed high sensitivity and specificity for cholangiocarcinoma. The potential of these markers in early diagnosis of this cancer type should be further explored.

Diverging methylation frequencies are often reported for the same locus in the same disease, underscoring the need for limiting technical variability in DNA methylation analyses. We have investigated seven likely sources of variability at different steps of bisulfite PCR-based DNA methylation analyses using a fully automated quantitative methylation-specific PCR setup of six gene promoters across 20 colon cancer cell lines. Based on >15,000 individual PCRs, all tested parameters affected the normalized percent of methylated reference (PMR) differences, with a fourfold varying magnitude. Additionally, large variations were observed across the six genes analyzed. The highest variation was seen using single-copy genes as reference for normalization, followed by different amounts of template in the PCR, different amounts of DNA in the bisulfite reaction and storage of bisulfite converted samples. Finally, when a highly standardized pipeline was repeated, the difference in PMR value for the same assay in the same cell line was on average limited to five (on a 0–100 scale). In conclusion, a standardized pipeline is essential for consistent methylation results, where parameters are kept constant for all samples. Nevertheless, a certain level of variation in methylation values must be expected, underscoring the need for careful interpretation of data.

Constitutional epimutation of the two major mismatch repair genes, MLH1 and MSH2, has been identified as an alternative mechanism that predisposes to the development of Lynch syndrome. In the present work, we aimed to investigate the prevalence of MLH1 constitutional methylation in colorectal cancer (CRC) patients with abnormal expression of the MLH1 protein in their tumors. In a series of 38 patients who met clinical criteria for Lynch syndrome genetic testing, with loss of MLH1 expression in the tumor and with no germline mutations in the MLH1 gene (35/38) or with tumors presenting the BRAF p.Val600Glu mutation (3/38), we screened for constitutional methylation of the MLH1 gene promoter using methylation‐specific multiplex ligation‐dependent probe amplification (MS‐MLPA) in various biological samples. We found four (4/38; 10.5%) patients with constitutional methylation in the MLH1 gene promoter. RNA studies demonstrated decreased MLH1 expression in the cases with constitutional methylation when compared with controls. We could infer the mosaic nature of MLH1 constitutional hypermethylation in tissues originated from different embryonic germ layers, and in one family we could show that it occurred de novo. We conclude that constitutional MLH1 methylation occurs in a significant proportion of patients who have loss of MLH1 protein expression in their tumors and no MLH1 pathogenic germline mutation. Furthermore, we provide evidence that MLH1 constitutional hypermethylation is the molecular mechanism behind about 3% of Lynch syndrome families diagnosed in our institution, especially in patients with early onset or multiple primary tumors without significant family history.

Cholangiocarcinoma (CCA) is a heterogeneous group of malignancies with features of biliary tract differentiation. CCA is the second most common primary liver tumour and the incidence is increasing worldwide. CCA has high mortality owing to its aggressiveness, late diagnosis and refractory nature. In May 2015, the "European Network for the Study of Cholangiocarcinoma" (ENS-CCA: www.enscca.org or www.cholangiocarcinoma.eu) was created to promote and boost international research collaboration on the study of CCA at basic, translational and clinical level. In this Consensus Statement, we aim to provide valuable information on classifications, pathological features, risk factors, cells of origin, genetic and epigenetic modifications and current therapies available for this cancer. Moreover, future directions on basic and clinical investigations and plans for the ENS-CCA are highlighted.

Several microRNAs (miRNAs) are known to be deregulated in colon cancer, but the mechanisms behind their potential involvement on proliferation and tumor cell survival are unclear. The present study aimed to identify miRNAs with functional implications for development of colon cancer. The cell proliferation and apoptosis were examined following perturbations of miRNA levels by employing a comprehensive miRNA library screen. miRNAs nominated for relevance to colon cancer were validated on expression and functional levels. By integrating the effect of miRNA up-regulation with the endogenous miRNA expression levels within the HT29, HCT116, and SW480 colon cancer cell lines, we identified miRNAs controlling cell proliferation (n = 53) and apoptosis (n = 93). From these functionally nominated miRNAs, we narrowed the list to 10 oncogene- and 20 tumor suppressor-like miRNAs that were also differentially expressed between colon cancer (n = 80) and normal colonic mucosa (n = 20). The differential expressions of miR-9, miR-31, and miR-182 were successfully validated in a series of colon carcinomas (n = 30) and polyps (n = 10) versus normal colonic mucosa (n = 10), whereas the functional effect was confirmed in an in-depth validation using different cell viability and apoptotic markers. Several transcription factors and genes regulating cell proliferation were identified as putative target genes by integrative miRNA/mRNA expression analysis obtained from the same colon cancer patient samples. This study suggests that deregulated expression of miR-9, miR-31, and miR-182 during carcinogenesis plays a significant role in the development of colon cancer by promoting proliferation and tumor cell survival.

An alternative transcript variant of SLC39A14, caused by pre-mRNA splicing, was recently suggested as a biomarker for colorectal cancer (CRC). In our study, we have validated the cancer-specific splicing pattern of the mutually exclusive exons 4A and 4B in altogether 244 colorectal tissue samples. Exon-specific quantitative RT-PCR analyses across 136 Stage I-IV CRC samples and 44 normal colonic mucosa samples showed complete cancer-specificity, as well as 94% sensitivity of SLC39A14-exon4B relative to SLC39A14-exon4A expression. However, across 20 samples from a range of healthy tissues, 18 expressed the CRC variant. This was true also for ten benign lymph nodes, demonstrating that the cancer-specificity is mainly confined to the colon and rectum. Hence, clinical use of SLC39A14-exon4B as a detection marker for CRC other than in samples taken from the bowel wall is diminished. Prognostic value by detection of metastasis to lymph nodes is also abated, elucidating an important pitfall to biomarker discovery. However, analyses of ten nondysplastic biopsies from patients with active inflammatory bowel disease showed negative results in seven samples and only weakly positive results in three samples, suggesting value of SLC39A14-exon4B as a marker to distinguish CRC from other pathologic conditions of the colon. In conclusion, the SLC39A14-exon4B transcript variant is a CRC biomarker with high sensitivity and organ-confined specificity. Further use of the transcript and its encoded protein isoform should be explored in an organ-confined context.

To characterize the pattern of ETS rearrangements and to uncover novel ETS fusion genes, we analyzed 200 prostate carcinomas (PCa) with TaqMan low-density arrays (TLDAs), followed by selective analyses with fluorescence in situ hybridization (FISH), RT-PCR, and sequencing. Besides confirming the recurrent presence of ERG, ETV1, ETV4, and ETV5 rearrangements, we here report FLI1 as the fifth ETS transcription factor involved in fusion genes in prostate cancer. Outlier expression of the FLI1 gene was detected by TLDAs in one PCa that showed relative overexpression of FLI1 exons 4:5 as compared with FLI1 exons 2:3. A structural rearrangement was found using FISH probes flanking the FLI1 gene and RT-PCR and sequencing analyses showed fusion of SLC45A3 exon 1 with FLI1 exon 3. Interestingly, we found four cases with two different ETS rearrangements in the index tumor, thus revealing intratumor genetic heterogeneity. Correlation analysis with clinico-pathological data showed association of ERG rearrangements with locally advanced disease (pT3, P = 0.007) and MYC overexpression (P = 0.001), and association of ETV1 rearrangements with PTEN downregulation (P = 0.015). We report that FLI1 is a novel ETS transcription factor involved in gene fusions in prostate cancer and that intratumor genetic heterogeneity of ETS rearrangements can occasionally be found in index primary tumors. © 2011 Wiley Periodicals, Inc.

This article is the first to show that loss of connexin43 (Cx43) expression in colorectal tumors is correlated with significantly shorter relapse-free and overall survival. Cx43 was further found to negatively regulate growth of colon cancer cells, in part by enhancing apoptosis. In addition, Cx43 was found to colocalize with β-catenin and reduce Wnt signaling. The study represents the first evidence that Cx43 acts as a colorectal cancer tumor suppressor and that loss of Cx43 expression during colorectal cancer development is associated with reduced patient survival. The study has important implications for the assessment of Cx43 as a prognostic marker and target in colorectal cancer prevention and therapy. Gap junctions consist of intercellular channels that permit direct transfer of ions and small molecules between adjacent cells. The gap junction channel protein Cx43 plays important roles in cell growth control and differentiation and is frequently dysregulated in human cancers. However, the functional importance and clinical relevance of Cx43 in cancer development has remained elusive. Here, we show that Cx43 is downregulated or aberrantly localized in colon cancer cell lines and colorectal carcinomas, which is associated with loss of gap junction intercellular communication. The in situ protein expression of Cx43 was analyzed in colorectal tumors in a cohort of 674 patients and related to established clinicopathological variables and survival. A subgroup of the patients had weak or no expression of Cx43 in tumors. Loss of Cx43 expression was significantly correlated with shorter relapse-free and overall survival. Loss of Cx43 further identified a high-risk subgroup among stage I and stage II patients with reduced relapse-free and overall survival. Ectopic expression of Cx43 in the colon cancer cell line HT29 was associated with reduced growth in monolayer and soft agar cultures and in tumor xenografts. Cx43 was found to colocalize with β-catenin and negatively regulate the Wnt signaling pathway, and expression of Cx43 was associated with increased levels of apoptosis. Altogether, these data indicate that Cx43 is a colorectal cancer tumor suppressor protein that predicts clinical outcome.

The three main types of urological cancers are mostly curable by surgical resection, if early detected. We aimed to identify novel DNA methylation biomarkers common to these three urological cancers, potentially suitable for non-invasive testing. From a candidate list of markers created after gene expression assessment of pharmacologically treated cell lines and tissue samples, two genes were selected for further validation. Methylation levels of these genes were quantified in a total of 12 cancer cell lines and 318 clinical samples. PCDH17 and TCF21 methylation levels provided a sensitivity rate of 92% for bladder cancer, 67% for renal cell tumors and 96% for prostate cancer. Methylation levels were significantly different from those of cancer free individuals (n = 37) for all tumor types (p < 0.001), providing 83% sensitivity and 100% specificity for cancer detection. Although in urine samples the sensitivity was 60%, 32% and 26% for bladder, renal, and prostate tumors, respectively (39% overall), absolute specificity was retained. We identified novel and highly specific methylation markers common to the three main urological cancers. However, additional efforts are required to increase the assay's sensitivity, enabling the simultaneous non-invasive screening of urological tumors in a single voided urine analysis.

Testicular germ cell tumours (TGCTs) are characterized by young age of onset and a complex pattern of histological subtypes. Transcriptomic studies have tried to uncover the gene expression patterns underlying this. Here, we present a systematic review of transcriptome studies of TGCTs of adolescents and young adults and identify genes common across the various studies, both for TGCTs in general as well as the histological subtypes, hence elucidating both transcriptional changes associated with malignant transformation and differentiation patterns. A meta-analysis of this type adds power and significance to the genes thus found, where most studies have included only a limited number of samples. Both known (KRAS, MYCN and TPD52) and novel (CCT6A, IGFBP3 and SALL2) cancer genes are implicated in TGC tumorigenesis. Gene expression patterns characteristic to embryonic stem cells are also found deregulated in TGC tumorigenesis. This is reflected in how pluripotent embryonal carcinoma cells commonly differentiate into a variety of embryonic and extra-embryonic histological types, each with unique transcriptomes. The embryonal carcinomas in particular are found to overexpress pluripotency genes, while gene signatures for seminomas, teratomas and yolk sac tumours were also identified. This underlines the distinctive transcriptomic programme across histological subtypes, especially striking given that the TGCT genome is largely similar across the same subtypes.

Gap junctions are specialized plasma membrane domains consisting of channels formed by members of the connexin protein family. Gap junctional intercellular communication is often lost in cancers due to aberrant localization or downregulation of connexins, and connexins are therefore suggested to act as tumor suppressor genes in various tissues. The aim of this study was to investigate the expression pattern and DNA promoter methylation status of connexins in colorectal cancer. Expression of six (GJA1, GJA9, GJB1, GJB2, GJC1 and GJD3) connexin genes was detected in normal colonic tissue samples. GJC1 expression was reduced in colorectal carcinomas compared to normal tissue samples. All analyzed connexins were hypermethylated in colon cancer cell lines, although at various frequencies. GJA4, GJB6 and GJD2 were hypermethylated in 60% (29/48), 25% (12/48) and 96% (46/48) of primary colorectal carcinomas, respectively. However, the methylation status was not associated with gene expression. GJC1 has two alternative promoters, which were methylated in 42% (32/76) and 38% (25/65) of colorectal tumors, and in none of the normal mucosa samples. Expression of GJC1 was significantly lower in methylated compared with unmethylated samples (p < 0.01) and was restored in cell lines treated with the demethylating drug 5-aza-2'deoxycytidine. Taken together, DNA hypermethylation of the promoter region of GJC1, encoding connexin45, is an important mechanism in silencing gene expression in colorectal cancer.

The isocitrate dehydrogenase 1 gene (IDH1) was in 2008 identified as a new glioblastoma pathogenesis candidate gene by Parsons et al.1 Following this discovery, IDH1/2 mutated tumors have been studied more carefully, and in 2010 the IDH1 mutation was found to be associated with a glioma cytosine–phosphate–guanine island methylator phenotype (G-CIMP).2 Today, it is clear that the common mutations in the IDH genes result in an IDH enzyme with de novo activity producing 2-hydroxyglutarate.3 This metabolite is an inhibitor of α-ketoglutarate–dependent dioxygenases, leading to genome-wide methylation alterations subsequently changing gene expression.4,5 Although large series of different tumor types have been analyzed, IDH1/2 mutations have been reported at significant frequencies in only a few other neoplastic diseases, such as central and periosteal cartilaginous tumors, intrahepatic cholangiocarcinoma, acute myeloid leukemia, blast-phase myeloproliferative neoplasms, and angioimmunoblastic T-cell lymphoma.6–15 The IDH mutation frequency is relatively high in oligodendrogliomas. Hence, we hypothesized that IDH mutations could also be frequent in malignant peripheral nerve sheath tumors (MPNSTs), tumors composed of Schwann cells, which are the peripheral nervous system's functional equivalent to oligodendrocytes. Previously, no IDH1 R132 mutations were detected in a small series of 17 schwannomas7 or in a series of 24 MPNSTs.16 We sequenced the glioma mutation hotspots R132 and R172 in IDH1 and IDH2, respectively, in gliomas and one of the world's largest series of MPNSTs. Tumor samples (n = 161) from 157 glioma patients who underwent surgery at Oslo University Hospital–Rikshospitalet, Oslo, Norway from 2005 to 2010 were included in this study. High-grade gliomas from patients with known prior low-grade glioma were regarded as secondary, while other high-grade gliomas were regarded as primary. Histological diagnoses were reviewed by a neuropathologist (D.S.). MPNST tissue samples (n = 93, from 91 patients) diagnosed in the period 1973–2008 were collected from Oslo University Hospital; Skane University Hospital, Lund, Sweden; University Medical Center Groningen, Groningen, Netherlands; and Istituto Ortopedico Rizzoli, Bologna, Italy. Histological diagnoses were determined by sarcoma reference pathologists. The biobanks and projects were approved according to national legislations. DNA was extracted from fresh frozen tissue. From gliomas where fresh frozen tissue was not available we used tissue stored in RNAlater. Regions of IDH1 and IDH2 including the mutation hotspots were amplified with primers in separate PCR reactions. Primer sequences for the IDH1 reaction were 5′-GCA-CGG-TCT-TCA-GAG-AAG-CCA-3′ (forward, our design) and 5′-AGG-GGA-TCC-TAT-TGT-GCA-GCC-AG-3′ (reverse, our design), and for the IDH2 reaction 5′-AGC-CCA-TCA-TCT-GCA-AAA-AC-3′ (forward17) and 5′-CTA-GGC-GAG-GAG-CTC-CAG-T-3′ (reverse17). Results were reviewed independently by 2 of the authors (A.B.H., H.H.). All mutations were technically validated in a separate run. The detected IDH1 mutation frequencies in the 161 gliomas (Table 1) are in line with earlier reports18 and confirm that IDH1 mutations are frequent in World Health Organization (WHO) grades II and III astrocytomas, oligoastrocytomas, oligodendrogliomas, and secondary glioblastomas. From 4 glioma patients included in the study, 2 samples of different grades were examined. The same mutation status was found in both samples. No mutation was detected in the IDH2 hotspot R172, which, based on earlier reported IDH2 mutation frequencies and our number of examined gliomas, is not surprising. This is particularly so because we found a relatively high frequency of IDH1 mutations, and IDH1 and IDH2 mutations do not appear to occur together.17 Table 1. Frequency of IDH1 mutations in codon R132 The WHO grade III gliomas were divided into primary and secondary tumors depending on absence or presence of preexisting lower-grade lesions. All anaplastic oligodendrogliomas (n = 8) were IDH1 mutated, regardless of primary/secondary status. In the subgroups anaplastic oligoastrocytoma and anaplastic astrocytoma, all primary tumors but one were IDH1 nonmutated, whereas all secondary tumors were mutated. Interestingly, the only primary anaplastic astrocytoma with IDH1 mutation had areas with low-grade histology, suggesting that this may in fact have been a secondary tumor. We found that 2 primary glioblastomas harbored the IDH1 mutation. Both patients had a short clinical history and therefore no evidence of a preexisting low-grade glioma. Our neuropathologist found one of these primary glioblastomas to be diagnostically intermediate between an anaplastic oligoastrocytoma and a glioblastoma with a large oligodendroglial component. Nonetheless, the patient received standard glioblastoma treatment and was therefore included as a primary glioblastoma patient in our analyses. No mutations were detected in the samples from the 91 MPNST patients, either in the hereditary cases (n = 44) or in the sporadic cases (n = 47). Our results suggest that although principally composed of functionally equivalent cells, gliomas and MPNSTs pursue different pathogenetic pathways. We cannot rule out the possibility of mutations occurring in other IDH1/2 codons. However, few other IDH1/2 mutations have so far been reported, and only a few of these have resulted in the same de novo activity as the glioma hotspot mutations.19 In conclusion, when analyzing 161 glioma samples, we detected the expected mutations in the analyzed IDH1/2 glioma mutation hotspots at frequencies on a par with previous studies.18 Furthermore, it would be interesting to analyze a larger series of WHO grade III gliomas to confirm our observations indicating that IDH1 mutations are more frequent in secondary than primary anaplastic oligoastrocytomas and anaplastic astrocytomas. No IDH1/2 glioma hotspot mutations were detected in MPNSTs, indicating that these pathologically similar but peripherally occurring tumors are pathogenetically different from CNS gliomas.

Aberrant expression of EPH receptors and their ligands, ephrins, has been reported in a large variety of human cancers, including epithelial cancers from the colon and ovary. Due to the recently reported decrease or loss of EPHBs expression in colorectal carcinomas and the abundance of CpG sites in their promoters, we analyzed the promoter methylation status of three members of the EPHB family, EPHB2, EPHB3 and EPHB4, in a series of 22 colon cancer cell lines, as well as in four ovarian cancer cell lines and 56 ovarian tumor samples. The promoters of the three receptor genes were unmethylated in the vast majority of samples as assessed by methylation-specific polymerase chain reaction (MSP). These results were confirmed by direct bisulphite sequencing. Furthermore, from RT-PCR analyzes and Northern blotting, EPHB2 showed only small variation in RNA expression across ovarian cancer cell lines and clinical samples. We conclude that promoter hypermethylation of EPHB2, EPHB3 and EPHB4 is not a common event in colon and ovarian cancers and therefore plays no major role in these tumors.

Gene expression is tightly regulated in normal cells, and epigenetic changes disturbing this regulation are a common mechanism in the development of cancer. Testicular germ cell tumor (TGCT) is the most common malignancy among young males and can be classified into two main histological subgroups: seminomas, which are basically devoid of DNA methylation, and nonseminomas, which in general have methylation levels comparable with other tumor tissues, as shown by restriction landmark genome scanning (RLGS). In general, DNA methylation seems to increase with differentiation, and among the nonseminomas, the pluripotent and undifferentiated embryonal carcinomas harbor the lowest levels of DNA promoter hypermethylation, whereas the well-differentiated teratomas display the highest. In this regard, TGCTs resemble the early embryogenesis. So far, only a limited number of tumor suppressor genes have been shown to be inactivated by DNA promoter hypermethylation in more than a minor percentage of TGCTs, including MGMT, SCGB3A1, RASSF1A, HIC1, and PRSS21. In addition, imprinting defects, DNA hypomethylation of testis/cancer associated genes, and the presence of unmethylated XIST are frequent in TGCTs. Aberrant DNA methylation has the potential to improve current diagnostics by noninvasive testing and might also serve as a prognostic marker for treatment response.

Purpose: Colorectal cancer has high incidence and mortality worldwide. Patients with microsatellite instable (MSI) tumors have significantly better prognosis than patients with microsatellite stable (MSS) tumors. Considerable variation in disease outcome remains a challenge within each subgroup, and our purpose was to identify biomarkers that improve prediction of colorectal cancer prognosis. Experimental Design: Mutation analyses of 42 MSI target genes were performed in two independent MSI tumor series (n = 209). Markers that were significantly associated with prognosis in the test series were assessed in the validation series, followed by functional and genetic explorations. The clinical potential was further investigated by immunohistochemistry in a population-based colorectal cancer series (n = 903). Results: We identified the cell-cycle gene regulator of chromosome condensation 2 (RCC2) as a cancer biomarker. We found a mutation in the 5′ UTR region of RCC2 that in univariate and multivariate analyses was significantly associated with improved outcome in the MSI group. This mutation caused reduction of protein expression in dual luciferase gene reporter assays. siRNA knockdown in MSI colon cancer cells (HCT15) caused reduced cell proliferation, cell-cycle arrest, and increased apoptosis. Massive parallel sequencing revealed few RCC2 mutations in MSS tumors. However, weak RCC2 protein expression was significantly associated with poor prognosis, independent of clinical high-risk parameters, and stratifies clinically important patient subgroups with MSS tumors, including elderly patients (>75 years), stage II patients, and those with rectal cancer. Conclusions: Impaired RCC2 affects functional and clinical endpoints of colorectal cancer. High-risk patients with either MSI or MSS tumors can be identified with cost-effective routine RCC2 assays. Clin Cancer Res; 21(16); 3759–70. ©2015 AACR.

Embryonal carcinoma is a histologic subgroup of testicular germ cell tumors (TGCTs), and its cells may follow differentiation lineages in a manner similar to early embryogenesis. To acquire new knowledge about the transcriptional programs operating in this tumor development model, we used 22k oligo DNA microarrays to analyze normal and neoplastic tissue samples from human testis. Additionally, retinoic acid–induced in vitro differentiation was studied in relevant cell lines. We identified genes characterizing each of the known histologic subtypes, adding up to a total set of 687 differentially expressed genes. Among these, there was a significant overrepresentation of gene categories, such as genomic imprinting and gene transcripts associated to embryonic stem cells. Selection for genes highly expressed in the undifferentiated embryonal carcinomas resulted in the identification of 58 genes, including pluripotency markers, such as the homeobox genes NANOG and POU5F1 (OCT3/4), as well as GAL, DPPA4, and NALP7. Interestingly, abundant expression of several of the pluripotency genes was also detected in precursor lesions and seminomas. By use of tissue microarrays containing 510 clinical testicular samples, GAL and POU5F1 were up-regulated in TGCT also at the protein level and hence validated as diagnostic markers for undifferentiated tumor cells. The present study shows the unique gene expression profiles of each histologic subtype of TGCT from which we have identified deregulated components in selected processes operating in normal development, such as WNT signaling and DNA methylation.

The molecular biology underlying the development of highly malignant peripheral nerve sheath tumors (MPNSTs) remains mostly unknown. In the present study, the expression pattern of 10 selected cell cycle components is investigated in a series of 15 MPNSTs from patients with (n = 9) or without (n = 5) neurofibromatosis type 1 (NF1). Thirteen tumors did not express the cyclin-dependent kinase inhibitor, p16(INK4A), an observation that was related to homozygote gene deletions in three tumors, heterozygote deletions in five, and gross gene rearrangements in five. The absence of protein expression in the tumors with one seemingly intact allele was not caused by promoter hypermethylation of p16(INK4A) or p14(ARF). All tumor samples expressed normal sized RB1, cyclin D3, CDK2, CDK4, p21(CIP1), and p27(KlP1) proteins, and only a single tumor showed an aberrant protein band for one of these proteins, p21(CIP1). Cyclin D1 was absent in four tumors; all except one tumor showed expression of TP53 protein, and three of nine MPNSTs had expression of normal-sized MDM2. In conclusion, this study shows that the vast majority of MPNSTs had gross rearrangements of the p16(INK4A) gene, explaining the absence of the encoded protein in the same tumors. The level of expression was equally distributed between the familial (NF1) and sporadic cases, although it should be noted that the 2 cases with p16(INK4A) expression were sporadic. The data imply that the complete absence of p16(INK4A) is sufficient for activation of the cell cycle in most MPNSTs; thus, it is not necessary for tumor proliferation to further stimulate the cycle through alteration of other central components.

Background: Droplet digital PCR (ddPCR) is a highly sensitive method for quantification of nucleic acids, with great potential for detection of biomarkers present in low quantities. As for DNA methylation analyses using ddPCR, there is no consensus on whether or not a control should be included. The aim of the present study was to; 1) demonstrate that use of a control is essential in such analyses, and 2) develop a robust control with better performance than the existing alternatives. Results and methods: A 4-gene control panel was developed in our lab, and its performance compared to the existing alternatives ACTB and C-LESS-C1. This was done through analyzing the methylation level of four target genes in DNA from 34 colon cancer cell lines. All ddPCRs were performed using the QX200™ PCR platform (BioRad). Details will be presented. Conclusions: In summary, use of a control is essential for robust and consistent ddPCR based DNA methylation, and can prevent erroneous interpretation of technical artifacts. Citation Format: Heidi D. Pharo, Kim Andresen, Marine Jeanmougin, Guro E. Lind. Droplet digital PCR for sensitive quantification of DNA methylation in non-invasive material: Development of a robust control [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5387. doi:10.1158/1538-7445.AM2017-5387

A protocol for detection of mutations in the TP53 gene using temporal temperature gradient electrophoresis (TTGE) is described. TTGE is a mutation detection technique that separates DNA fragments differing by single base pairs according to their melting properties in a denaturing gel. It is based on constant denaturing conditions in the gel combined with a temperature gradient during the electrophoretic run. This method combines some of the advantages of the related techniques, denaturing gradient gel electrophoresis and constant denaturant gel electrophoresis, and eliminates some of the problems. The result is a rapid and sensitive screening technique which is robust and easily set up in smaller laboratory environments.

A protocol for detection of mutations in the TP53 gene using temporal temperature gradient electrophoresis (TTGE) is described. TTGE is a mutation detection technique that separates DNA fragments differing by single base pairs according to their melting properties in a denaturing gel. It is based on constant denaturing conditions in the gel combined with a temperature gradient during the electrophoretic run. This method combines some of the advantages of the related techniques, denaturing gradient gel electrophoresis and constant denaturant gel electrophoresis, and eliminates some of the problems. The result is a rapid and sensitive screening technique which is robust and easily set up in smaller laboratory environments.

Several clinical factors have an impact on prognosis in stage II colorectal cancer (CRC), but as yet they are inadequate for risk assessment. The present study aimed to develop a gene expression classifier for improved risk stratification of patients with stage II CRC.315 CRC samples were included in the study. Gene expression measurements from 207 CRC samples (stage I-IV) from two independent Norwegian clinical series were obtained using Affymetrix exon-level microarrays. Differentially expressed genes between stage I and stage IV samples from the test series were identified and used as input for L1 (lasso) penalised Cox proportional hazards analyses of patients with stage II CRC from the same series. A second validation was performed in 108 stage II CRC samples from other populations (USA and Australia).An optimal 13-gene expression classifier (PIGR, CXCL13, MMP3, TUBA1B, SESN1, AZGP1, KLK6, EPHA7, SEMA3A, DSC3, CXCL10, ENPP3, BNIP3) for prediction of relapse among patients with stage II CRC was developed using a consecutive Norwegian test series from patients treated according to current standard protocols (n=44, p0.001, HR=18.2), and its predictive value was successfully validated for patients with stage II CRC in a second Norwegian CRC series collected two decades previously (n=52, p=0.02, HR=3.6). Further validation of the classifier was obtained in a recent external dataset of patients with stage II CRC from other populations (n=108, p=0.001, HR=6.5). Multivariate Cox regression analyses, including all three sample series and various clinicopathological variables, confirmed the independent prognostic value of the classifier (p≤0.004). The classifier was shown to be specific to stage II CRC and does not provide prognostic stratification of patients with stage III CRC.This study presents the development and validation of a 13-gene expression classifier, ColoGuideEx, for prognosis prediction specific to patients with stage II CRC. The robustness was shown across patient series, populations and different microarray versions.

Background Methylation of the O6-methylguanine-DNA methyltransferase (MGMT) gene promoter is a favorable prognostic factor in glioblastoma patients. However, reported methylation frequencies vary significantly partly due to lack of consensus in the choice of analytical method. Method We examined 35 low- and 99 high-grade gliomas using quantitative methylation specific PCR (qMSP) and pyrosequencing. Gene expression level of MGMT was analyzed by RT-PCR. Results When examined by qMSP, 26% of low-grade and 37% of high-grade gliomas were found to be methylated, whereas 97% of low-grade and 55% of high-grade gliomas were found methylated by pyrosequencing. The average MGMT gene expression level was significantly lower in the group of patients with a methylated promoter independent of method used for methylation detection. Primary glioblastoma patients with a methylated MGMT promoter (as evaluated by both methylation detection methods) had approximately 5 months longer median survival compared to patients with an unmethylated promoter (log-rank test; pyrosequencing P = .02, qMSP P = .06). One third of the analyzed samples had conflicting methylation results when comparing the data from the qMSP and pyrosequencing. The overall survival analysis shows that these patients have an intermediate prognosis between the groups with concordant MGMT promoter methylation results when comparing the two methods. Conclusion In our opinion, MGMT promoter methylation analysis gives sufficient prognostic information to merit its inclusion in the standard management of patients with high-grade gliomas, and in this study pyrosequencing came across as the better analytical method.

Cholangiocarcinoma complicates primary sclerosing cholangitis (PSC) in approximately 10% of cases, but no risk factor that can identify this subgroup of patients is known. No imaging modalities or serum tumour markers that can diagnose early cholangiocarcinoma are available, but endoscopic retrograde cholangiography with brush cytology is recommended when clinically indicated. Liver transplantation with neoadjuvant therapy is carried out in specialist centres in cases of limited stage cancer. Transplantation should also be considered in patients with biliary dysplasia without evident tumour. Gallbladder polyps in PSC are often malignant, and liberal indication for cholecystectomy is recommended. Hepatocellular carcinoma develops in 2%-4% of patients with end-stage liver disease. Patients with inflammatory bowel disease are at risk of colorectal neoplasia. Surveillance colonoscopies are recommended, also after liver transplantation. Epigenetic markers represent one among several classes of potential biomarkers for early diagnosis of malignancies in PSC that should be further explored.

Colorectal cancer (CRC) incidence increases with age, and early onset of the disease is an indication of genetic predisposition, estimated to cause up to 30% of all cases. To identify genes associated with early-onset CRC, we investigated gene expression levels within a series of young patients with CRCs who are not known to carry any hereditary syndromes (n=24; mean 43 years at diagnosis), and compared this with a series of CRCs from patients diagnosed at an older age (n=17; mean 79 years). Two individual genes were found to be differentially expressed between the two groups, with statistical significance; CLC was higher and IFNAR1 was less expressed in early-onset CRCs. Furthermore, genes located at chromosome band 19q13 were found to be enriched significantly among the genes with higher expression in the early-onset samples, including CLC. An elevated immune content within the early-onset group was observed from the differentially expressed genes. By application of outlier statistics, H3F3A was identified as a top candidate gene for a subset of the early-onset CRCs. In conclusion, CLC and IFNAR1 were identified to be overall differentially expressed between early- and late-onset CRC, and are important in the development of early-onset CRC.

A large percentage of prostate cancers harbor TMPRSS2-ERG gene fusions, leading to aberrant overexpression of the transcription factor ERG. The target genes deregulated by this rearrangement, however, remain mostly unknown. To address this subject we performed genome-wide mRNA expression analysis on 6 non-malignant prostate samples and 24 prostate carcinomas with (n = 16) and without (n = 8) TMPRSS2-ERG fusion as determined by FISH. The top-most differentially expressed genes and their associations with ERG over-expression were technically validated by quantitative real-time PCR and biologically validated in an independent series of 200 prostate carcinomas. Several genes encoding metabolic enzymes or extracellular/transmembrane proteins involved in cell adhesion, matrix remodeling and signal transduction pathways were found to be co-expressed with ERG. Within those significantly over-expressed in fusion-positive carcinomas, CRISP3 showed more than a 50-fold increase when compared to fusion-negative carcinomas, whose expression levels were in turn similar to that of non-malignant samples. In the independent validation series, ERG and CRISP3 mRNA levels were strongly correlated (r(s) = 0.65, p