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Purpose: Promoter hypermethylation has been recognized to play an important role in carcinogenesis. Numerous studies have demonstrated tumor-specific alterations, such as aberrant promoter hypermethylation, in DNA recovered from plasma or serum of patients with various malignancies. The aim of this study was to investigate the methylation status of various genes in cervical cancer patients and their association with clinicopathological characteristics and outcome of the disease.Experimental Design: The methylation status of CALCA, hTERT, MYOD1, PGR (progesterone receptor), and TIMP3 was investigated in serum samples from 93 cervical cancer patients and 19 corresponding tissue samples using the MethyLight technique.Results: Aberrant promoter hypermethylation was detected in any of these genes in 87% (81 of 93) of the serum samples studied. Methylation of MYOD1 was detected more frequently in advanced stage. All of the genes found to be methylated in serum samples were also methylated in the corresponding tissue sample, except in one patient. Patients with unmethylated MYOD1 serum DNA had significantly better disease-free (P = 0.04) and overall survival (P = 0.02) in comparison with patients with methylated MYOD1.Conclusions: To the best of our knowledge, this is, thus far, the largest study investigating aberrant promoter hypermethylation in serum samples from cancer patients and the first study investigating methylation patterns in sera of cervical cancer patients. Our results suggest that serological detection of MYOD1 promoter hypermethylation may be of potential use as a prognostic marker for discriminating cervical cancer patients at high risk for lymph node metastasis or relapse. Additional studies, including a panel of additional genes, are necessary to elucidate the role of aberrant methylation in serum as a tool for surveillance of cervical cancer.

Supplementary Figure from DNA Methylation in Serum and Tumors of Cervical Cancer Patients

Supplementary Table 1 from FBXW7/hCDC4 Is a General Tumor Suppressor in Human Cancer

ESR1 Upstream from Association of Breast Cancer DNA Methylation Profiles with Hormone Receptor Status and Response to Tamoxifen

We have generated DNA methylation profiles of 148 human breast tumors and found significant differences in hormone receptor (HR) status between clusters of DNA methylation profiles. Of 35 DNA methylation markers analyzed, the ESR1 gene, encoding estrogen receptor α, proved to be the best predictor of progesterone receptor status, whereas methylation of the PGR gene, encoding progesterone receptor, was the best predictor of estrogen receptor status. ESR1 methylation outperformed HR status as a predictor of clinical response in patients treated with the antiestrogen tamoxifen, whereas promoter methylation of the CYP1B1 gene, encoding a tamoxifen- and estradiol-metabolizing cytochrome P450, predicted response differentially in tamoxifen-treated and nontamoxifen-treated patients. High levels of promoter methylation of the ARHI gene, encoding a RAS-related small G-protein, were strongly predictive of good survival in patients who had not received tamoxifen therapy. Our results reveal an as yet unrecognized degree of interaction between DNA methylation and HR biology in breast cancer cells and suggest potentially clinically useful novel DNA methylation predictors of response to hormonal and non-hormonal breast cancer therapy.

Clinical Tamoxifen Data from Association of Breast Cancer DNA Methylation Profiles with Hormone Receptor Status and Response to Tamoxifen

RT-PCR Primers from Association of Breast Cancer DNA Methylation Profiles with Hormone Receptor Status and Response to Tamoxifen

We describe for the first time a new integral molecular pathway, linking transcription factor E2F3a to epidermal growth factor receptor (EGFR) activation in ovarian cancer cells. Investigations on the role of E2F family members in EGFR-mediated mitogenic signaling revealed that E2F3a was selectively upregulated following EGFR activation, whereas all other E2F family members remained unaffected. In contrast, EGF treatment of healthy ovarian surface epithelial and mesothelial cells yielded a selective upregulation of proliferation-promoting E2F1 and E2F2 without influencing E2F3a expression. In ovarian cancer cell lines, the extent of EGF-induced proliferative stimulus was closely related to the magnitude of E2F3a increase, and proliferation inhibition by E2F3a knockdown was not overcome by EGF exposure. Furthermore, the EGFR-E2F3a axis was found to be signal transducer and activator of transcription 1/3 dependent and the ratio of IFN-regulatory factor (IRF)-1 to IRF-2 was shown to be determinative for E2F3a control. In a pilot study on 32 primary ovarian cancer specimens, a highly significant correlation between activated EGFR and E2F3a expression was disclosed. This new integral pathway in the EGFR-driven mitogenic cell response, which through its key player E2F3a was found to be essential in triggering proliferation in ovarian cancer cells, provides new insights into EGFR signaling and could represent the basis for appealing new therapeutic approaches in ovarian cancer. Cancer Res; 70(11); 4613–23. ©2010 AACR.

The ubiquitin-proteasome system is a major regulatory pathway of protein degradation and plays an important role in cellular division. Fbxw7 (or hCdc4), a member of the F-box family of proteins, which are substrate recognition components of the multisubunit ubiquitin ligase SCF (Skp1-Cdc53/Cullin-F-box-protein), has been shown to mediate the ubiquitin-dependent proteolysis of several oncoproteins including cyclin E1, c-Myc, c-Jun, and Notch. The oncogenic potential of Fbxw7 substrates, frequent allelic loss in human cancers, and demonstration that mutation of FBXW7 cooperates with p53 in mouse tumorigenesis have suggested that Fbxw7 could function as a tumor suppressor in human cancer. Here, we carry out an extensive genetic screen of primary tumors to evaluate the role of FBXW7 as a tumor suppressor in human tumorigenesis. Our results indicate that FBXW7 is inactivated by mutation in diverse human cancer types with an overall mutation frequency of ∼6%. The highest mutation frequencies were found in tumors of the bile duct (cholangiocarcinomas, 35%), blood (T-cell acute lymphocytic leukemia, 31%), endometrium (9%), colon (9%), and stomach (6%). Approximately 43% of all mutations occur at two mutational “hotspots,” which alter Arg residues (Arg465 and Arg479) that are critical for substrate recognition. Furthermore, we show that Fbxw7Arg465 hotspot mutant can abrogate wild-type Fbxw7 function through a dominant negative mechanism. Our study is the first comprehensive screen of FBXW7 mutations in various human malignancies and shows that FBXW7 is a general tumor suppressor in human cancer. [Cancer Res 2007;67(19):9006–12]

Supplementary Figure 1 from DNA Hypomethylation and Ovarian Cancer Biology

Supplementary Figure 2 from E2F3a Is Critically Involved in Epidermal Growth Factor Receptor–Directed Proliferation in Ovarian Cancer

MethyLight Primer and Probe Sequences from Association of Breast Cancer DNA Methylation Profiles with Hormone Receptor Status and Response to Tamoxifen

Adjuvant systemic therapy (a strategy that targets potential disseminated tumor cells after complete removal of the tumor) has clearly improved survival of patients with cancer. To date, no tool is available to monitor efficacy of these therapies, unless distant metastases arise, a situation that unavoidably leads to death. We analyzed RASSF1A DNA methylation in pretherapeutic sera and serum samples collected 1 year after surgery from 148 patients with breast cancer who were receiving adjuvant tamoxifen; 19.6% and 22.3% of patients with breast cancer showed RASSF1A DNA methylation in their pretherapeutic and 1-year-after serum samples, respectively. RASSF1A methylation 1 year after primary surgery (and during adjuvant tamoxifen therapy) was an independent predictor of poor outcome, with a relative risk (95% confidence interval) for relapse of 5.1 (1.3-19.8) and for death of 6.9 (1.9-25.9). Measurement of serum DNA methylation allows adjuvant systemic treatment to be monitored for efficacy: disappearance of RASSF1A DNA methylation in serum throughout treatment with tamoxifen indicates a response, whereas persistence or new appearance means resistance to adjuvant tamoxifen treatment. It remains to be seen whether modifications made in adjuvant therapeutic strategies based on detection of circulating nucleic acids will improve survival as well as quality of life.

Supplementary Tables 1-3 from Circulating Tumor-Specific DNA: A Marker for Monitoring Efficacy of Adjuvant Therapy in Cancer Patients

Supplementary Table 1 from DNA Hypomethylation and Ovarian Cancer Biology

Hypomethylation of some portions of the genome and hypermethylation of others are very frequent in human cancer. The hypomethylation often involves satellite 2 (Sat2) DNA in the juxtacentromeric (centromere-adjacent) region of chromosome 1. In this study, we analyzed methylation in centromeric and juxtacentromeric satellite DNA in 115 ovarian cancers, 26 non-neoplastic ovarian specimens, and various normal somatic tissue standards. We found that hypomethylation of both types of satellite DNA in ovarian samples increased significantly from non-neoplastic toward cancer tissue. Furthermore, strong hypomethylation was significantly more prevalent in tumors of advanced stage or high grade. Importantly, extensive hypomethylation of Sat2 DNA in chromosome 1 was a highly significant marker of poor prognosis (relative risk for relapse, 4.1, and death, 9.4) and more informative than tumor grade or stage. Also, comparing methylation of satellite DNA and 15 5′ gene regions, which are often hypermethylated in cancer or implicated in ovarian carcinogenesis, we generally found no positive or negative association between methylation changes in satellite DNA and in the gene regions. However, hypermethylation at two loci, CDH13 (at 16q24) and RNR1 (at 13p12), was correlated strongly with lower levels of Sat2 hypomethylation. The CDH13/Sat2 epigenetic correlation was seen also in breast cancers. We conclude that satellite DNA hypomethylation is an important issue in ovarian carcinogenesis as demonstrated by: (a) an increase from non-neoplastic tissue toward ovarian cancer; (b) an increase within the ovarian cancer group toward advanced grade and stage; and (c) the finding that strong hypomethylation was an independent marker of poor prognosis.

The HER-2/neu gene is amplified and overexpressed in 20% to 30% of invasive breast carcinomas and is associated with increased metastatic potential and less tamoxifen sensitivity. We generated the DNA methylation profiles of 143 human breast tumors and found significant differences in HER-2/neu expression and DNA methylation of five genes. For three of these five genes [PGR (coding for the progesterone receptor), HSD17B4 (coding for type 4 17-β-hydroxysteroid dehydrogenase, an enzyme that mainly degrades active 17-β-estradiol into inactive metabolites), and CDH13 (coding for H-cadherin)] a higher prevalence of DNA methylation in HER-2/neu-positive cancers was confirmed in an independent set of microdissected primary breast cancers. DNA methylation was not only present in cancer cells but also in the tumor stroma fraction. Of the isolated fractions in HER-2/neu-positive versus -negative cancers, 27.1% versus 10.5%, respectively, showed DNA methylation of the five genes (P = 0.011, Fisher's exact test). In Her-2++/+++ breast cancers, HSD17B4 mRNA expression was inversely associated with HSD17B4 methylation (P = 0.04). These data support the view that in addition to HER-2/neu-associated signaling, epigenetic changes in cancer as well as in tumor stroma cells might attribute to the specific biological features of HER-2/neu-positive cancers. (Cancer Res 2006; 66(1): 29-33)

Supplementary Figure 3 from E2F3a Is Critically Involved in Epidermal Growth Factor Receptor–Directed Proliferation in Ovarian Cancer

Supplementary Figure 1 from E2F3a Is Critically Involved in Epidermal Growth Factor Receptor–Directed Proliferation in Ovarian Cancer

PMR Summary from Association of Breast Cancer DNA Methylation Profiles with Hormone Receptor Status and Response to Tamoxifen

Supplementary Table 1 from Breast Cancer DNA Methylation Profiles in Cancer Cells and Tumor Stroma: Association with HER-2/neu Status in Primary Breast Cancer

Introduction HE4 and CA 125, two established biomarkers for assessing adnexal masses in non-pregnant women, are hardly investigated in pregnancy, especially in pregnancy-associated conditions. The aim was to evaluate HE4 and CA 125 levels in the course of pregnancy and to assess the impact of pregnancy disorders, contractions and rupture of membranes on HE4 and CA 125 serum levels in order to use these parameters for evaluation of adnexal masses in pregnancy.Patients and Methods Blood samples (n = 238) of 201 women seen at the Medical University of Innsbruck, Austria, were prospectively obtained during pregnancy and postpartum. Serum concentrations of HE4 and CA 125 were analyzed. ROMA index was calculated by the premenopausal formula.Results HE4 serum levels were highest in the third trimester. Contractions (p Conclusions HE4 serum levels are influenced by several pregnancy-related conditions leading to significantly higher levels in these cases. Despite differing medians according to trimester, the 95th percentile cut-offs and almost all maximum values during the entire course of pregnancy were below the established cut-off for premenopausal women. It was also superior to the performance of ROMA index. Therefore, HE4 can be used as a valuable negative predictive marker for the assessment of adnexal masses during pregnancy.

IntroductionThe addition of adjuvants to short-acting local anesthetics (LA) is common practice in clinical routine to speed up block onset and decrease pain on injection. In a previous study, we observed the development of microscopic crystal precipitations after bupivacaine or ropivacaine were mixed with adjuvants; this follow-up study is intended to clarify whether crystallization (A) also occurs in short-acting or intermediate-acting LA-adjuvant mixtures, (B) changes over time, and (C) is associated with the solutions’ pH.MethodsLidocaine 2%, prilocaine 2%, mepivacaine 2%, procaine 2% and chloroprocaine 2% were individually mixed with clonidine, dexamethasone, dexmedetomidine, epinephrine, fentanyl, morphine or sodium bicarbonate 8.4% in clinically established ratios. For each mixture, we measured initial pH and recorded crystallization patterns at 0, 15, 30 and 60 min using a standardized, semiquantitative light microscopy approach.ResultsLidocaine 2% and mepivacaine 2% plus sodium bicarbonate 8.4%, and mepivacaine 2% plus dexamethasone developed delayed grade 5 crystallization over 1 hour. Prilocaine-based, procaine-based and chloroprocaine-based mixtures showed much less pronounced crystallization, with a maximum of grade 2. Initial pH and grade of crystallization showed weak monotonic relationships at time points t0, t15and t30(ρ=−0.17, 0.31 and 0.32, (all p>0.05)) and a moderate relationship time point t60(ρ=0.57 (p=0.0003))ConclusionsOur study revealed high grades of crystallization in lidocaine/mepivacaine-bicarbonate and mepivacaine-dexamethasone mixtures, although these were previously considered safe for local, perineural or neuraxial use. Our findings cast particular doubt on the safety of preparing these formulations for later use.

Hormone-receptor positive; Chemotherapy; Early-stage breast cancer Receptor de hormonas positivo; Quimioterapia; Cáncer de mama en fase inicial Receptor d'hormones positiu; Quimioteràpia; Càncer de mama en fase inicial CanAssist Breast (CAB), a prognostic test uses immunohistochemistry (IHC) approach coupled with artificial intelligence-based machine learning algorithm for prognosis of early-stage hormone-receptor positive, HER2/neu negative breast cancer patients. It was developed and validated in an Indian cohort. Here we report the first blinded validation of CAB in a multi-country European patient cohort. FFPE tumor samples from 864 patients were obtained from-Spain, Italy, Austria, and Germany. IHC was performed on these samples, followed by recurrence risk score prediction. The outcomes were obtained from medical records. The performance of CAB was analyzed by hazard ratios (HR) and Kaplan Meier curves. CAB stratified European cohort (n = 864) into distinct low- and high-risk groups for recurrence (P < 0.0001) with HR of 3.32 (1.85–5.93) like that of mixed (India, USA, and Europe) (n = 1974), 3.43 (2.34–4.93) and Indian cohort (n = 925), 3.09 (1.83–5.21). CAB provided significant prognostic information (P < 0.0001) in women aged ≤ 50 (HR: 4.42 (1.58–12.3), P < 0.0001) and >50 years (HR: 2.93 (1.44–5.96), P = 0.0002). CAB had an HR of 2.57 (1.26–5.26), P = 0.01) in women with N1 disease. CAB stratified significantly higher proportions (77%) as low-risk over IHC4 (55%) (P < 0.0001). Additionally, 82% of IHC4 intermediate-risk patients were stratified as low-risk by CAB. Accurate risk stratification of European patients by CAB coupled with its similar performance inIndian patients shows that CAB is robust and functions independent of ethnic differences. CAB can potentially prevent overtreatment in a greater number of patients compared to IHC4 demonstrating its usefulness for adjuvant systemic therapy planning in European breast cancer patients.

Ovarian cancer (OC) is the most lethal gynecological malignancy, with platinum‐based chemotherapy remaining the mainstay for adjuvant treatment after surgery. The lack of indication for immunotherapy may at least in part result from the lack of suitable biomarkers allowing stratification of potentially responding patients. In this monocentric study of 141 cases with OC, we used real‐time quantitative PCR to assess the expression of retinoic acid‐inducible gene‐I (RIG‐I) in primary tumor and healthy ovarian control tissues. RIG‐I expression was correlated to various clinicopathological characteristics as well as to a set of molecular and immunological markers. The prognostic significance of RIG‐I expression was queried in univariate and multivariate analyses and validated in an independent cohort. RIG‐I was overexpressed in the cancerous ovary and correlated with a higher tumor grade. The more aggressive Type‐II cancers and cancers with inactivating p53 mutations exhibited higher RIG‐I expression. RIG‐I levels were also elevated in cancers that recurred after remission or were platinum‐refractory. Survival analyses disclosed RIG‐I as an independent marker of poor outcome in OC. Continuative analyses revealed the molecular and immunological correlates of RIG‐I expression in the tumor microenvironment, including interferon production and a distinct immune‐regulatory signature involving checkpoint molecules (PD‐L1/PD‐1), the RNA‐editing enzyme ADAR1 and the regulatory T cell‐specific transcription factor FoxP3. We conclude that high RIG‐I expression associates with poor outcome in OC, which is explainable by local immunosuppression in the tumor bed. RIG‐I expression may inform checkpoint blockade and/or RIG‐I agonistic targeting in a subset of high‐risk OC patients., What's new? Previous evidence suggests that the antiviral helicase RIG‐I bears tumor‐suppressive activity. The clinical significance of RIG‐I in gynecological cancer remains unclear, however. This single‐center, retrospective, explorative biomarker study of 141 cases with epithelial ovarian cancer (OC) reveals the negative prognostic impact of RIG‐I. RIG‐I is overexpressed in OC tissue, particularly in the more aggressive type‐II OCs, and is an independent prognostic marker for overall survival. RIG‐I high‐expressing tumors carry an interferon signature, linking RIG‐I activation to a cancer microenvironment fostering tumor immune‐evasion including upregulation of immune checkpoints. RIG‐I expression may indicate high‐risk OC patients who may benefit from immunotherapeutic intervention.

SMARCA4 and EZH2 are two functional key players of their respective antagonizing chromatin remodeling complexes SWI/SNF and PRC2. EZH2 inhibitory drugs may abrogate pro-oncogenic features of PRC2 and turn the balance to cell differentiation via SWI/SNF activity in cancers. SMARCA4 and EZH2 expression was assessed by RT-PCR in 238 epithelial ovarian cancers (OCs) and put in relation to clinico-pathological parameters and patients’ outcome. Optimal thresholds for high and low expression of both variables were calculated by the Youden’s index based on receiver operating characteristic (ROC) curves. High SMARCA4 mRNA expression was independently associated with favorable progression-free survival (PFS) (P = 0.03) and overall survival (OS) (P = 0.018). As Youden’s threshold determination for EZH2 yielded a S-shaped ROC-curve, two cut-off points (29th and 94th percentile) predicting opposite features were defined. Whereas EZH2 mRNA levels beyond the 29th percentile independently predicted poor PFS (P = 0.034), Cox-regression in EZH2 transcripts above the 94th percentile revealed a conversion from unfavorable to favorable PFS and OS (P = 0.009 and P = 0.032, respectively). High SMARCA4 expression associates with improved survival, whereas moderate/high EZH2 expression predicts poor outcome, which converts to favorable survival in ultra-high expressing OCs. This small OC subgroup could be characterized by REV7-abrogated platinum hypersensitivity but concomitant PARP-inhibitor resistance.

Human papillomavirus (HPV)-associated cervical cancer represents one of the leading causes of cancer death worldwide. Although low-middle income countries are disproportionately affected, our knowledge of the disease predominantly originates from populations in high-income countries. Using the largest multi-omic analysis of cervical squamous cell carcinoma (CSCC) to date, totalling 643 tumours and representing patient populations from the USA, Europe and Sub-Saharan Africa, we identify two CSCC subtypes (C1 and C2) with differing prognosis. C1 tumours are largely HPV16-driven, display increased cytotoxic T-lymphocyte infiltration and frequently harbour PIK3CA and EP300 mutations. C2 tumours are associated with shorter overall survival, are frequently driven by HPVs from the HPV18-containing alpha-7 clade, harbour alterations in the Hippo signalling pathway and increased expression of immune checkpoint genes, B7-H3 (also known as CD276) and NT5E (also known as CD73) and PD-L2 (also known as PDCD1LG2). In conclusion, we identify two novel, therapy-relevant CSCC subtypes that share the same defining characteristics across three geographically diverse cohorts.

Purpose Vav3 is a guanine nucleotide exchange factor that regulates the activity of Rho/Rac family GTPases. In a study on ovarian cancer, we recently demonstrated pronounced prognostic and predictive value of Vav3.1, a specific truncation variant of the parental Vav3 gene. Here, we sought to investigate the role of Vav3.1 in the most prevalent gynecological tumor entity, endometrial cancer. Methods Vav3.1 transcript levels were determined in a large cohort of endometrial cancer patients using variant-specific PCR (n = 239), and non-malignant endometrial tissue served as control (n = 26). Expression levels of Vav3.1 were stratified according to established clinicopathological characteristics and correlated to long-term patient survival (average follow-up of > 7.5 years). Type 1 and type 2 cancers were separately investigated. Results While Vav3.1 was markedly overexpressed in endometrial cancer tissue, we could not detect associations with clinical parameters related to prognosis, such as FIGO stage and tumor grade. Kaplan–Meier estimators of different measures of survival failed to show prognostic significance of Vav3.1 in endometrial cancer. Lack of prognostic value was observed for both type 1 and type 2 cancers. Conclusions Our study shows that Vav3.1 is not suited as a marker of cancer progression and/or treatment response in endometrial cancer. Feasibility and potential benefit of targeting Vav3.1 in endometrial cancer needs to be evaluated in future studies, proceeding from its clear, roughly ten-fold, induction in the malignant endometrium.

Aim: To develop a prognostic score for primary breast cancer patients integrating conventional predictors and the novel biomarker CHAC1 to aid adjuvant chemotherapy decisions. Patients & methods: A prognostic score for overall survival was developed using: conventional predictors from a dataset of 1777 patients and the weight of CHAC1 mRNA expression from an independent dataset of 106 patients using multivariate Cox regression. Results: The new score includes: CHAC1 mRNA expression, age, tumor size, HER2 neu status, lymph node status and degree of malignancy. Using a cut-off value of 11 score points, 10-year survival was 82% in low-risk (n = 34) and 43% in high-risk patients (n = 72). The addition of CHAC1 resulted in 16% reclassification. Conclusion: Including CHAC1 in prognostic prediction may aid (and change) personalized treatment selection.

Background Despite an early response to platinum-based chemotherapy in advanced stage high-grade serous ovarian cancer (HGSOC), the majority of patients will relapse with drug-resistant disease. Aberrant epigenetic alterations like DNA methylation are common in HGSOC. Differences in DNA methylation are associated with chemoresponse in these patients. The objective of this study was to identify and validate novel epigenetic markers of chemoresponse using genome-wide analysis of DNA methylation in extreme chemoresponsive HGSOC patients. Methods Genome-wide next-generation sequencing was performed on methylation-enriched tumor DNA of two HGSOC patient groups with residual disease, extreme responders (≥18 months progression-free survival (PFS), n = 8) and non-responders (≤6 months PFS, n = 10) to platinum-based chemotherapy. DNA methylation and expression data of the same patients were integrated to create a gene list. Genes were validated on an independent cohort of extreme responders (n = 21) and non-responders (n = 31) using pyrosequencing and qRT-PCR. In silico validation was performed using publicly available DNA methylation (n = 91) and expression (n = 208) datasets of unselected advanced stage HGSOC patients. Functional validation of FZD10 on chemosensitivity was carried out in ovarian cancer cell lines using siRNA-mediated silencing. Results Integrated genome-wide methylome and expression analysis identified 45 significantly differentially methylated and expressed genes between two chemoresponse groups. Four genes FZD10, FAM83A, MYO18B, and MKX were successfully validated in an external set of extreme chemoresponsive HGSOC patients. High FZD10 and MKX methylation were related with extreme responders and high FAM83A and MYO18B methylation with non-responders. In publicly available advanced stage HGSOC datasets, FZD10 and MKX methylation levels were associated with PFS. High FZD10 methylation was strongly associated with improved PFS in univariate analysis (hazard ratio (HR) = 0.43; 95% CI, 0.27–0.71; P = 0.001) and multivariate analysis (HR = 0.39; 95% CI, 0.23–0.65; P = 0.003). Consistently, low FZD10 expression was associated with improved PFS (HR = 1.36; 95% CI, 0.99–1.88; P = 0.058). FZD10 silencing caused significant sensitization towards cisplatin treatment in survival assays and apoptosis assays. Conclusions By applying genome-wide integrated methylome analysis on extreme chemoresponsive HGSOC patients, we identified novel clinically relevant, epigenetically-regulated markers of platinum-sensitivity in HGSOC patients. The clinical potential of these markers in predictive and therapeutic approaches has to be further validated in prospective studies. Electronic supplementary material The online version of this article (doi:10.1186/s12916-017-0870-0) contains supplementary material, which is available to authorized users.

Following publication of the original article [1], we have been alerted to errors in Figs. 2 and 8. In Fig. 2B, the GAPDH loading control for Hec1A cells is shown twice in error (in Fig. 2B and Fig. 2C). In Fig. 8, in testis case 1 (first column) the MAGE-A4 staining panel was repeated and also appears as the NY-ESO-1 staining panel in error. The corrected versions of Fig. 2 and Fig. 8 are shown below. We apologize for this inconvenience.

// Sara Notaro 1, 2 , Daniel Reimer 1 , Michaela Duggan-Peer 1 , Heidi Fiegl 1 , Annamarie Wiedermair 1 , Julia Rossler 1 , Peter Altevogt 3, 4 , Christian Marth 1 , Alain Gustave Zeimet 1 1 Department of Gynecology and Obstetrics, Medical University of Innsbruck, Innsbruck, Austria 2 Department of Gynecology and Obstetrics, University of Brescia, Brescia, Italy 3 Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany 4 Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Ruprecht-Karl University of Heidelberg, Mannheim, Germany Correspondence to: Alain Gustave Zeimet, email: alain.zeimet@uki.at Keywords: L1CAM, endometrial cancer, qRT-PCR, outcome, methylation Received: January 04, 2016 Accepted: May 08, 2016 Published: May 24, 2016 ABSTRACT Background: Management of endometrial carcinoma (EC) still needs improvement of risk assessment. Recently, L1CAM immunohistochemical (IHC) evaluation showed a unique value to predict the outcome of early EC. However IHC results are often conflicting for lack of inter-laboratory standardisation. Methods: Here, as a proof of concept and to increase reproducibility we assayed eighty-two EC and 26 normal endometrium samples for L1CAM expression (L1CAM EXP ) via qRT-PCR. The IHC evaluation was performed in 50 cancer samples. Moreover, we aimed to substantiate the in-vitro findings of L1CAM regulation through its promoter methylation (L1CAM MET ), miR-34a expression and miR-34a promoter methylation. DNA methylation was assessed with MethyLight PCR technique. Results : High overall concordant results between IHC and RT-PCR evaluations were found. L1CAM EXP was detected in 11% of cancer specimens. These positive cancers exhibited a worse DFS (p=0.032) and OS (p=0.016) in a multivariate COX-regression model. L1CAM EXP predicted distant failure (p=0.007) and L1CAM MET predicted risk-reduction of lymph-node involvement (p=0.005). Inverse correlations between L1CAM EXP and L1CAM MET (p=0.004) and between L1CAM EXP and miR-34a expression (p=0.002) were found. Conclusions: In conclusion qRT-PCR analysis is a reliable approach to evaluate L1CAM status in EC and L1CAM EXP was highly predictive for distant failure and poor outcome, confirming the large IHC-based studies. Interestingly, L1CAM MET was able to assess the risk of pelvic lymph-node involvement. Especially the latter finding has to be confirmed in larger prospective series.

// Samira Abdel Azim 1 , Michaela Duggan-Peer 1 , Susanne Sprung 1 , Daniel Reimer 1 , Heidi Fiegl 1, 2 , Afschin Soleiman 1 , Christian Marth 1 , Alain G. Zeimet 1 1 Department of Obstetrics and Gynecology, Medical University of Innsbruck, 6020 Innsbruck, Austria 2 Department of Obstetrics and Gynecology, Laboratory for Clinical Biochemistry, Medical University of Innsbruck, 6020 Innsbruck, Austria Correspondence to: Alain G. Zeimet, email: alain.zeimet@tirol-kliniken.at , alain.zeimet@i-med.ac.at Keywords: ovarian cancer, L1CAM, targeted therapy, RT-PCR, survival Received: October 21, 2015 Accepted: April 18, 2016 Published: May 11, 2016 ABSTRACT Background: High expression of L1 cell adhesion molecules (L1CAM) has been repeatedly shown to be associated with aggressive disease behavior, which translates in poor clinical outcome in various cancer entities. However, in ovarian cancer results based either on immunohistochemistry or cytosolic protein quantifications remained conflicting regarding clinical behavior. In the present work we assessed L1CAM expression on the transcriptome level with the highly sensitive quantitative real-time PCR (qRT-PCR) to define its relevance in ovarian cancer biology. Results: There was a significant difference in L1CAM high and low mRNA expressing cancers with regard to disease-free (p=0.002) and overall survival (p=0.008). L1CAM proofed to be an independent predictor for disease progression (HR 1.8, p=0.01) and overall survival (HR 1.6, p=0.04). Furthermore, a significant positive correlation between the level of L1CAM and the grade of tumor differentiation (p=0.04), the FIGO stage (p=0.025) as well as the histological subtype (p= 0.002) was found. Methods: This study included fresh frozen tissue samples of 138 patients with FIGO I-IV stage ovarian cancer. L1CAM mRNA expression was determined using qRT-PCR. In the calculations special attention was put on the various histological subtypes. In survival analysis median L1CAM mRNA expression obtained in the entire cohort of ovarian cancer samples was used as a cut-off to distinguish between high and low L1CAM mRNA expression. Conclusion: L1CAM mRNA expression appears to play a substantial role in the pathophysiology of ovarian cancer that is translated into poor clinical outcome. Additionally humanized L1CAM antibodies, which can serve as potential future treatment options are under testing.

Breast cancer remains a leading cause of morbidity and mortality worldwide yet methods for early detection remain elusive. We describe the discovery and validation of biochemical signatures measured by mass spectrometry, performed upon blood samples from patients and controls that accurately identify (>95%) the presence of clinical breast cancer. Targeted quantitative MS/MS conducted upon 1225 individuals, including patients with breast and other cancers, normal controls as well as individuals with a variety of metabolic disorders provide a biochemical phenotype that accurately identifies the presence of breast cancer and predicts response and survival following the administration of neoadjuvant chemotherapy. The metabolic changes identified are consistent with inborn-like errors of metabolism and define a continuum from normal controls to elevated risk to invasive breast cancer. Similar results were observed in other adenocarcinomas but were not found in squamous cell cancers or hematologic neoplasms. The findings describe a new early detection platform for breast cancer and support a role for pre-existing, inborn-like errors of metabolism in the process of breast carcinogenesis that may also extend to other glandular malignancies. Statement of Significance: Findings provide a powerful tool for early detection and the assessment of prognosis in breast cancer and define a novel concept of breast carcinogenesis that characterizes malignant transformation as the clinical manifestation of underlying metabolic insufficiencies.